- Comp-neuro - lists.cnsorg.org

Postdoc at Leiceseter University, UK

by Quian Quiroga, Rodrigo (Prof.)

We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rqqg1(a)le.ac.uk) For more details and to apply, please use this link: https://jobs.le.ac.uk/vacancies/7756/research-associate.html The closing date for the applications is 5th May 2023. Best, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester http://le.ac.uk/csn

April 12, 2023

Granada Seminar Announcement

by Prof. Dr. Joaquín J. Torres

17th Granada Seminar Announcement and Call for Participation Dear Colleague, You are cordially invited to participate in the 17th Granada Seminar, September 12-15th, 2023, on MACHINE LEARNING AND PHYSICS, Quantum, Classical and Applications. This Granada Seminar is organized by the Institute Carlos I for Theoretical and Computational Physics of the University of Granada. You may find updated information concerning submission of abstracts, grants, lodging, program, etc. at http://granadaseminar.com. Scheduled speakers already include: Ludovic Berthier (France), Juan P. Garrahan (UK), Hilbert J. Kappen (The Netherlands), Seth Lloyd (USA), Pankaj Mehta (USA), Tomaso Poggio (USA), Yuhai Tu (USA), K. Birgitta Whaley (USA). Cristina Masoller (Spain) ... Other talks will be invited from submitted abstracts. Hoping to meet you this September, Sincerely Yours, Pedro L. Garrido Institute Carlos I for Theoretical and Computational Physics University of Granada - 18071, Spain -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada. www.ugr.es/~jtorres

April 12, 2023

Postdoc in theoretical neuroscience at Bocconi University (Milan, Italy), only few more days to apply!

by Alessandro Sanzeni

Hi all, A fully-funded, three-year postdoctoral position in theoretical neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>(Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it<mailto:alessandro.sanzeni@unibocconi.it> All the best, Alessandro Sanzeni

April 11, 2023

PhD Position in Neuroengineering

by Simone Hemm

The Institute for Medical Engineering and Medical Informatics at the University of Applied Sciences and Arts Northwestern Switzerland in Muttenz close to Basel is looking for applications for a PhD position in Neuroengineering in the filed of Deep Brain Stimulation The position is full-time (42h/week) and follows the salary level from the Swiss National Science Foundation (SNSF). The PhD position is part of a SNSF project and starts as soon as possible. The aim of the PhD is to develop a tool supporting neurosurgeons and neurologists in managing patients treated by deep brain stimulation. Candidates should be interested in deep brain stimulation, electric field simulations, image processing and stimulation atlas generation for Parkinson's Disease and other diseases. They should have a background in biomedical engineering, medical informatics, computer sciences or related fields. For more information about the position and the application procedure, please go to the official advertisement: https://apply.refline.ch/655298/3545/pub/1/index.html If you have any questions, please contact Prof. Simone Hemm via e-mail: simone.hemm(a)fhnw.ch<mailto:simone.hemm@fhnw.ch> Thank you for posting! Best regards ------------------------------------------------------------ University of Applied Sciences and Arts Northwestern Switzerland School of Life Sciences Institute for Medical Engineering and Medical Informatics Prof. Dr. Simone Hemm-Ode Office 05.W.29 Hofackerstrasse 30 CH-4132 Muttenz ------------------------------------------------------------ simone.hemm(a)fhnw.ch<mailto:simone.hemm@fhnw.ch> www.fhnw.ch/lifesciences<http://www.fhnw.ch/lifesciences> ------------------------------------------------------------

April 11, 2023

ICANN 2023 - Deadline Extension & Last Call for Papers

by Sebastian Otte

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR PAPERS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) To submit a paper to one of the special sessions, please select the respective track in the submission system. Please find more details about the special sessions at: https://e-nns.org/icann2023/conference-programme/special-sessions/ SUBMISSION DEADLINE (EXTENDED) - Full paper and extended abstract submission: Apr. 19, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

April 10, 2023

Call for challenge submissions - Intel Neuromorphic Deep Noise Suppression Challenge

by Daniel BD Rubin

Intel Neuromorphic Deep Noise Suppression Challenge The Intel Neuromorphic Deep Noise Suppression Challenge has begun! Here the fundamental computation will be built on temporally sparse event codes to drastically reduce power requirements to be deployed on dedicated HW (expected about 10x-100x savings compared to other dedicated ASICs). Deep Noise Suppression is a ubiquitous real-time audio processing task with low power and imperceptible latency. A neuromorphic solution offering >10x lower power and smaller model sizes could extend battery lives, improve user experiences, and help shrink form factors of many PC/mobile/wearable devices. We are reiterating on the Microsoft Deep Noise suppression re-framing it into *Neuromorphic computing,* offering a novel neuromorphic baseline example improving on SI-SNR and reducing memory footprint by ~20x on previous MSFT DNS 2022 Challenge Baseline. If you can come up with the best algorithmic solution in simulation within six months or the best Loihi 2 demonstration within a year, you could win $15k and $40k respectively. (See challenge rules for details.) For more information, see: Paper: https://arxiv.org/abs/2303.09503 GitHub: https://github.com/IntelLabs/IntelNeuromorphicDNSChallenge [image: u/dinatrina - [N] Intel Neuromorphic Deep Noise Suppression Challenge] <https://preview.redd.it/51zkapmugpqa1.png?width=800&format=png&auto=webp&v=…>

April 7, 2023

Konstanz School of collective behavior 2023 : deadline today.

by Ahmed El Hady

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: April 7th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

April 7, 2023

Call for Applications for CCN Junior Theoretical Neuroscientist Workshop (June 29-30, 2023)

by Matthew Turner

*Call for Applications for CCN Junior Theoretical Neuroscientist Workshop* June 29-30, 2023 The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation invites applications for our first Junior Theoretical Neuroscientist Workshop. The Junior Theoretical Neuroscientist’s workshop is a showcase for advanced PhD students and postdocs to share cutting-edge research and connect with the theoretical neuroscience community at the Flatiron Institute and the broader NYC area. We expect to select 8 trainees to participate in the workshop over June 29-30, 2023, at the Flatiron Institute (160 5th Ave, New York, NY), providing an extended opportunity to exchange ideas within a small group setting. Each participant will contribute a 30 minute research talk followed by a 40 minute interactive discussion of the technical details behind the work. Through these interactions and unstructured meeting times, participants will receive valuable feedback from their peers as well as the broader Flatiron community. Talks from senior Flatiron researchers and an external keynote speaker are also planned to broaden the scope of the workshop. Our aim is to attract a group of talented theorists studying different topics and coming from diverse backgrounds. We expect the workshop will provide a particularly excellent opportunity for participants in the process of planning their next career stage. *There is no charge to attend the workshop.* Each day, meals will be provided for attendees, and accommodations will be provided for non-local participants. *Application materials* - *CV* - *Abstract for Talk (1 page) * - *1-2 authored papers or preprints related to the talk* - *(Optional) Brief cover letter explaining your interest in the workshop and your current research trajectory* - (Optional) website, google scholar link *Organizers* - Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, Associate Research Scientist and Project Leader, CCN, and Assistant Professor, Center for Neural Science, NYU - Eero Simoncelli, Scientific Director, CCN, and Silver Professor, NYU - Dmitri Chklovskii, Group Leader, CCN *Deadline Schedule* - Application Deadline: April 30, 2023 - Notification of admittance: May 8, 2023 - Acceptance Deadline: May 19, 2023 Please contact Matthew Turner, the CCN administrative manager ( mturner(a)flatironinstitute.org) with any questions. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

April 5, 2023

Call for Applications - Analytical Connectionism Summer Course

by Lin, I-Chun

Analytical Connectionism 2023 28 August - 8 September 2023, London Applications now open! Deadline: 15 May 2023 We are pleased to announce the launch of Analytical Connectionism 2023. This 2-week course will bring together the neuroscience, psychology, and machine-learning communities, introducing attendees to mathematical methods for neural-network analysis and connectionist theories of higher-level cognition and psychology. The course will end with a 1.5-day workshop*, during which you will hear from experts about current state-of-the-art and the limits of our current understanding. This course is appropriate for graduate students, postdoctoral fellows and faculty in a variety of fields, from psychology and neuroscience, to physics, computer science, and mathematics. For more details and how to apply, please see https://www.ucl.ac.uk/gatsby/analytical-connectionism-2023. * Limited spaces available for researchers who are not taking the course to attend the workshop. Please visit the webpage for more information. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

April 5, 2023

Postdoc position in Computational Biophysics at Göttingen Campus Institute for Dynamics of Biological Networks

by von Behren, Christina

The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology". We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references by April 11, 2023 to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). Georg-August-Universität Göttingen, Göttingen Campus Institute for Dynamics of Biological Networks, Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

April 4, 2023

Call for abstracts (May 1st), Benzon Symposium 67 – Bringing Circuit for Movement Together, Copenhagen, September 4-7, 2023

by Auke Ijspeert

Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and submit abstracts if interested. The call for abstract is now open until May 1st. Best regards Auke Ijspeert Benzon Symposium 67 – Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Bräuner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *“Bringing Circuit for Movement Together”* is to bring together the world’s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. Ölveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline May 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: April 1, 2023* *Submission round closes: May 1, 2023* Final registration/payment: (provided acceptance of abstract): May 30, 2023 Fee: 5.000 DKK (approx 670 euros, including scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

April 3, 2023

Call for paper: The 16th International Conference on Brain Informatics (BI'23) in Hoboken NJ & NYC (Aug 1-3 2023)

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS *The 16th International Conference on Brain Informatics (BI'23)* August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes Conference homepage: www.wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline **** Confirmed Keynote Speakers **** - *Professor Emery N. Brown* Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - *Professor Bin He* Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - *Professor John Ngai* Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - *Professor Helen Mayberg* Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - *Professor Vinod Goel* Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” Dept. of Psychology, York University, Canada - *Professor Amy Kuceyeski* Director of Computational Connectomics (CoCo) at Weill Cornell Medicine, Cornell University, USA *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *Real-time Journal's Impact Factor: 8.5*. *** Paper Submission and Publications *** Paper Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline * 03 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference Contact Us: http://wi-consortium.org/conferences/bi2023/contact.html

March 31, 2023

Postdoc/PhD positions in Toulouse (France): Deep learning models of the Global Workspace

by Rufin VanRullen

Multiple postdoctoral and PhD positions are available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking highly motivated and dedicated students and post-docs to join our group in Toulouse, France. Successful candidates will have formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. We will also use advanced AI models to improve the decoding and understanding of brain activity. Details on the ideas that will be developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the recently created Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have direct access to fMRI recording facilities and to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 2 years (renewable for a 3rd or 4th year), and 3-years for PhD. The beginning post-doc salary is 2,590 Euros/month (net), and can reach 3,200 Euros/month (net) for more experienced post-docs. The PhD stipend is 2,000 Euros/month (net). We expect to hire several candidates by the Fall of 2023, but will continue to recruit exceptional applicants in the foreseeable future. To apply, please send a CV and a letter <mailto:rufin.vanrullen@cnrs.fr> explaining your research interests and motivations to: rufin.vanrullen [at] cnrs.fr Any questions should also be directed to the same address. --

March 30, 2023

NWB Workshops: User Days, Developer Days, and NeuroDataReHack

by Ryan Ly

Dear colleagues, We are pleased to inform you about upcoming Neurodata Without Borders (NWB) <http://nwb.org/> workshops: NWB User Days, NWB Developer Days, and NeuroDataReHack. NWB User and Developer Days July 24th - 29th, 2023 HHMI Janelia Research Campus <https://www.janelia.org/>, VA, United States Registration deadline: April 1st, 2023 The NWB User Days (July 24th - 26th) will train users how to convert their data to NWB and publish it on the DANDI Archive <http://dandiarchive.org/>, starting from the basics and proceeding to NWB extensions, advanced data engineering techniques, and tools for analysis and visualization of NWB data. The NWB Developer Days (July 27th - 29th) will bring neuroscientists, tool builders, and research software engineers together to further the development of the NWB software ecosystem, including the data standard, core software packages, official tools, and community tools. The event is free to attend. Meals and accommodations will be provided, and you may request support for travel. To learn more and register for one or both, please visit the NWB User and Developer Days website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK15_2023_Janelia/> . NeuroDataReHack 2023 September 5th - 8th, 2023 Hotel Andalucia Center in Granada, Spain <https://www.hotelescenter.es/en/hotel-andalucia-center-granada/> Application deadline: May 1st, 2023 The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 120+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from The Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your result is present in another species or brain area. - Showcase the capabilities of your tool or analysis on existing data from another lab. - Explore follow-up questions to a study. Following the event, participants will be invited to apply for a Kavli Foundation Neurodata Discovery Award, which awards $50,000 (USD) of funding to continue projects that come out of the NeuroDataReHack event. This event is held as a satellite of the IBRO World Congress 2023 <http://ibro2023.org/>. Attendance of IBRO 2023 is not a requirement for application. The event is free to attend. Meals and accommodations will be provided to attendees. Learn more and apply at the NeuroDataReHack 2023 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK16_2023_Granada…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro <http://catalystneuro.com/> Oliver Ruebel, Lawrence Berkeley National Laboratory <https://www.lbl.gov/> -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

March 28, 2023

Graduate student workshop at Washington University in St Louis

by Goodhill, Geoffrey

Opportunity for senior graduate students! The newly established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its inaugural Computational Neuroscience Next Generation symposium, September 18-20th 2023: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for students selected to present. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity for graduate students to share their research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is April 28th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

March 28, 2023

MBL Methods in Computational Neuroscience Course - Deadline March 31

by Stephen A. Baccus

Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 26 to August 23, 2023. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 31*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. 2023 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2023 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Nicolas Brunel, Duke University Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Marlene Cohen, U. of Pittsburgh Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University John Murray, Yale University Srdjan Ostojic, ENS - PSL Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Sebastian Seung, Princeton University Reza Shadmehr, Johns Hopkins Univ. Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Nao Uchida, Harvard University Byron Yu, Carnegie Mellon University Greg Wayne, DeepMind

March 25, 2023

Postdoctoral positions in sensory coding and memory - University of Sheffield

by Andrew Lin

Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How do brains encode sensory information and form associative memories? Andrew Lin's lab at the University of Sheffield is seeking postdoctoral research associates to study these fundamental questions in neuroscience in the olfactory system of the fruit fly Drosophila. We aim to discover neuronal plasticity mechanisms that underlie associative memory and the maintenance of optimal sensory coding, in the Drosophila mushroom body (the fly’s olfactory memory centre). Of special note to the comp-neuro email list, we are particularly looking for at least one of the postdocs we hire to have expertise in computational neuroscience. We seek to tie computational models of what plasticity rules would be ‘optimal’ for memory, with experiments testing whether the real brain actually uses these ‘optimal’ rules. This research will use a range of techniques including: in vivo two-photon calcium imaging, electrophysiology, fly genetics, behavioural experiments, computational modelling and building custom equipment. The exact project can be tailored to your background, but expertise in at least some of these techniques is essential, along with a PhD in a relevant field (or equivalent experience), excellent communication skills and an ability to work in a team. We welcome self-motivated, innovative, and creative applicants from a range of academic backgrounds, including biology, neuroscience, experimental psychology, computer science, physics and engineering. Closing date: 4 April 2023 Apply at this link: https://bit.ly/LinPostdoc2023 More about the lab: https://www.aclinlab.org/ Expected start date: 1 September 2023 (earlier or later start date may be possible, happy to discuss) We welcome international applicants and the university will reimburse the post-holder for many visa expenses: https://www.sheffield.ac.uk/jobs/induction/before/international/visas For informal enquiries, contact Andrew: andrew.lin(a)sheffield.ac.uk -- Andrew Lin School of Biosciences University of Sheffield Firth Court Western Bank Sheffield S10 2TN +44 (0) 114 222 3643 http://www.aclinlab.org

March 22, 2023

Postdoc in computational neuroscience/machine learning at the University of Nottingham (UK) - closes March 30th

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make innumerable stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to develop new computational accounts of stay-or-leave decisions, and use them to test hypotheses for how humans, primates, and rodents learn and make these decisions. The work will draw on and develop new reinforcement learning and accumulation (e.g. diffusion) models of decision-making. The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world (https://www.humphries-lab.org) This post will join our developing research program into how humans and other animals learn to make the right decisions (e.g. https://doi.org/10.1101/2022.08.30.505807) The post is until 14th February 2025. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI092323 Closing date: March 30th 2023 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

March 22, 2023

Postdoctoral position in theoretical neuroscience at Bocconi University (Milan, Italy)

by Alessandro Sanzeni

Hi all, A fully-funded, three-year postdoctoral position in computational neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it All the best, Alessandro Sanzeni

March 21, 2023

Open position: Postdoctoral position in Human Psychophysics in Tuebingen, Germany

by Pavlovic, Maria

Postdoctoral position in Human Psychophysics (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS and/or EEG methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by May 31st, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

March 20, 2023

32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, July 15-19 2023: abstract submission deadline EXTENDED to March 27th

by Rubchinsky, Leonid L

Dear Colleagues, The CNS*2023 abstract submission deadline has been extended to Monday March 27th, 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract Submission: https://ocns.memberclicks.net/cns-2023-abstract-submission General information: https://www.cnsorg.org/cns-2023 The calls for tutorials and workshops remain open: CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2023-call-for-tutorials Deadline for proposals: 22 April 2023 CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2023-call-for-workshops Priority Deadline for proposals: 15 April 2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

March 17, 2023

RA Position in Intracranial EEG in New York

by Tostaeva, Gelana

The human intracranial EEG Laboratory at The Feinstein Institutes for Medical Research – Hofstra Northwell School of Medicine in New York is looking for one research assistant to start as soon as possible and by June 2023. The successful candidate will help with the lab’s research into (1) improving the identification of functional and pathological brain regions in individuals suffering from epilepsy, (2) the neural mechanisms of cognition, and (3) the characterization of macroscale human brain networks. The lab works exclusively with patients being evaluated for epilepsy surgery using methods such as invasive stereo EEG and electrocorticography recordings (iEEG, ECoG), anatomical MRI, fMRI, DTI, and direct electrical brain stimulation. The responsibilities will include assisting with the collection and analysis of the aforementioned data, project management, assistance with grant applications and progress reports, help with analysis of neural and imaging data using existing scripts (Matlab, Python), further development of those scripts (depending on coding and signal processing proficiency), and helping to present lab findings at conferences and in journals. The relative weighting of responsibilities can be adjusted depending on the interest of the applicant. If there is interest, the RA will have her/his own scientific project with dedicated time to work on it. Past research assistants in the lab have presented their work at clinical and basic research conferences, co-authored lab publications, and are working on first-author publications. They have gone on to medical schools or PhD programs after spending 1-3 years in the lab. This unique position will expose the successful applicant to basic and clinical neuroscience as well as neurosurgery, neurology, and neuropsychology. The location of the institute allows living either in the suburban neighborhoods of Long Island or in vibrant Brooklyn or Queens. Some employees also commute from Manhattan. It is a great opportunity for recent post-bacs interested in medical school or graduate school in neuroscience/biomedical engineering. ------------- Qualifications ------------- Minimum: -B.A./B.S./B.E. in an appropriate discipline (e.g., neuroscience, psychology, biomedical engineering, computer science, physics) -1 year commitment Desirable: -Prior experience working with neuroimaging, EEG/MEG, or brain stimulation data -Previous experience working with patients -Previous work in a research laboratory that shows evidence of independent scholarship, problem-solving, and motivation -Experience with at least one programming language (MATLAB, R, or Python) and statistical analyses -2-year commitment preferred For more information about the position, please send your CV along with your questions to Drs. Stephan Bickel (sbickel(a)northwell.edu) and Ashesh Mehta (amehta.northwell.edu) You can also find the job posting here<https://urldefense.com/v3/__https://jobs.northwell.edu/job-3/17988989/resea…>. We are looking forward to hearing from you! -- Gelana Tostaeva she/her/hers Research Associate Human Brain Mapping Lab The Feinstein Institutes for Medical Research The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

March 16, 2023

PhD position in Computational Psychology of Perception at Stockholm University

by Pawel Herman

Dear colleagues, We are looking to hire a doctoral student in computational psychology with focus on olfactory perception and cognition as part of the interdisciplinary collaboration between the Department of Psychology at Stockholm University (SU) and the Division of Computational Science and Technology at KTH Royal Institute of Technology (KTH), Stockholm, Sweden. This joint research effort led by Prof. Jonas Olofsson at SU and Dr. Pawel Herman at KTH offers an opportunity to leverage the potential of computational network models to gain mechanistic insights into perceptual and cognitive phenomena. The project will contribute to the development of the next-generation psychologists capable of flexibly utilising a wide spectrum of experimental and computational techniques to pursue increasingly challenging questions in human perception, research that has tangible clinical implications. As mentioned, the project will focus on the sense of smell as a model system. More information about the positions can be found here: https://www.su.se/english/about-the-university/work-at-su/available-jobs/ph… Interested candidates are encouraged to reach out to Jonas Olofsson (jonas.olofsson AT psychology.su.se) and/or Pawel Herman (paherman AT kth.se) directly to informally discuss the positions. Best regards Pawel Herman and Jonas Olofsson ------------------------------------ Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building) tel. +46 8 790 6513

March 16, 2023

[CFP, Deadline Extended] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs

by Murat Kuşcu

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- *Paper Submission Deadline Extended:* *31 March 2023* ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 31 March 2023 (Extended Deadline) First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

March 16, 2023

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging

by von Lühmann, Alexander, Dr.

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging The independent research group "Intelligent Biomedical Sensing (IBS)<http://www.ibs-lab.com/mission-statement>" headed by Dr.-Ing. Alexander von Lühmann<https://www.bifold.berlin/people/dr-alexander-von-luehmann.html> is hiring! We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG). Working field: * Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications. * Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis * Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions * Scientific publishing, pursuit of doctoral degree is possible. * Teaching duties Employer: TU Berlin/BIFOLD Salary grade: TV-L 13 Berliner Hochschulen Starting date: at the earliest possible Closing date: 24.03.2023 Full job posting: IV-112/23<https://tub.stellenticket.de/de/offers/161900/?search%5Bfulltextsearch%5D=I…> | BIFOLD<https://www.bifold.berlin/about-us/opportunities/research-assistant-tv-l-13> | IBS Lab<http://www.ibs-lab.com/get-involved> __________________________ Dr.-Ing. Alexander von Lühmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png@01D95722.774D00A0] BIFOLD-ML | Machine Learning Department Technische Universität Berlin Fakultät IV – EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com<http://www.ibs-lab.org/> www.bifold.berlin<http://www.bifold.berlin/> www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

March 15, 2023

Postdoctoral Position at Johns Hopkins: Selective attention in deep neural networks

by Ernst Niebur

The computational neuroscience group, headed by Prof. Ernst Niebur, in the Department of Neuroscience of Johns Hopkins University is recruiting one or more postdoctoral fellows. This is a collaborative project with the Johns Hopkins Electrical and Computer Engineering Department and the Allen Institute for Brain Research in Seattle, WA. Project: Deep learning has achieved impressive performance in many tasks which is driven by the capacity for backpropagation to “assign credit” to a vast array of parameters. This achievement is obtained at the cost of large energy consumption and many needed examples for learning. Furthermore, machine learning performance still pales in comparison with the energy efficiency and capacity to generalize when compared to biological systems. In this project, we will use mechanisms of selective attention, akin to those used in biological cognition, to constrain and direct the task of credit assignment during learning. Start date: As soon as possible. Affiliation: The computational neuroscience group (http://cnslab.mb.jhu.edu) is part of the Krieger Mind/Brain Institute at Johns Hopkins University and the Johns Hopkins University School of Medicine. Requirements: * PhD in computational neuroscience, computer science, or a closely related field preferred. Candidates with a PhD in physics, mathematics, engineering, psychology, ... with a proven track record of creative thinking will be considered * Solid quantitative/mathematics training * Solid programming skills * Experience in deep learning strongly preferred * US citizens/permanent residents preferred * Women and members of underrepresented minorities strongly preferred Please send applications via email to niebur(a)jhu.edu, including * Complete CV including contact information, transcripts and a list of publications * Names, email addresses, and phone numbers of three references

March 14, 2023

Reminder! Fast Lane to Slow Science – Online panel discussion to celebrate International Women's Month – 20 March 2023, 13h GMT / 14h CET

by Sidarus, Nura

Hi, Can you please advertise a reminder for the following event. Thank you in advance, Nura Sidarus. ----- Fast Lane to Slow Science Online panel discussion to celebrate International Women's Month Monday, 20th March 2023 – 13h GMT / 14h CET You are warmly invited to join us in celebrating International Women's Month with an online panel discussion on "Fast Lane to Slow Science". If "fast science is bad for scientists and bad for science" (Frith, TiCS, 2019), how can we move towards a Slow Science? What are the implications for the evaluation of science and scientists? And for equity and diversity? Join our panel of world leading scientists, who have been shaping science, science evaluation and science policy in Europe, to discuss these questions and more: * Professor Dame Uta Frith, Institute of Cognitive Neuroscience, University College London, UK. Author of "Fast Lane to Slow Science<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.…>" (TiCS, 2019). * Professor Sylvie Lorente, College of Engineering, Villanova University, USA. Member of the ERC Scientific Council. * Professor Toma Susi, Faculty of Physics, University of Vienna, Austria. Member of the Steering Board of the Coalition for Advancing Research Assessment. Details and registration: https://www.eventbrite.co.uk/e/womens-month-celebration-panel-discussion-on…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Organised and chaired by Dr Nura Sidarus, Royal Holloway University of London, and facilitated by Dr María Jesús Maraver, University of Granada. Conceived by Women in Cognitive Science - Europe<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…> & supported by Department of Psychology, Royal Holloway, University of London<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…>. This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

March 14, 2023

Postdoctoral position in computational cognitive neuroscience, UKE, Hamburg (Germany)

by Stefano Panzeri

Profs Stefano Panzeri and Cristina Becchio and are seeking candidates for a fully funded postdoctoral position to research at the interface between Computational and Cognitive Neuroscience at the University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany. The successful candidate will conduct computational research in collaboration between the computational laboratory of Stefano Panzeri (Department of Excellence for Neural Information Processing) ( https://www.uke.de/english/departments-institutes/institutes/department-of-…) and the experimental laboratory of Cristina Becchio ( https://www.uke.de/english/physicians-and-scientists/wissenschaftlerprofils…) The aim of the project is to investigate the link between movement, decisions, and cognitive processes. One focus will be developing and applying advanced computational methods to study social transmission of information through movement kinematics. Another focus will be mathematical analysis on how information about covert cognitive states and ongoing individual and collective decision processes is encoded and readout in human movement. Our laboratories offer a wide range of interdisciplinary expertise in computational and cognitive neuroscience, covering advanced analysis techniques and neural network modeling. The laboratories also offer a thriving, ambitious and well-funded research environment (including several grants from the European Union, the NIH Brain Initiative, the Simons Foundation). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or cognitive neuroscientific discipline, with a solid computational background and a keen interest in neuroscience and cognition. The ideal candidate should be a highly motivated and creative individual who enjoys working in a dynamic, multi-disciplinary research environment and is willing to interact with both experimental and theoretical scientists. The job is available starting immediately and applications will be considered as soon as they are received and until the position is filled. The position is initially for 2 years, with the possibility of additional years of funding. Interested applicants are strongly encouraged to email stefano.panzeri(a)gmail.com and c.becchio(a)uke.de as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects. We suggest interested candidates to attach a CV when inquiring by email. For recent publications from our labs relevant to this project, see: Montobbio N., Cavallo A., Albergo D., Ansuini C., Battaglia F., Podda J., Nobili L., Panzeri S., Becchio C. (2022) Intersecting kinematic encoding and readout of intention in autism. *Proceedings of the National Academy of Sciences of the United States of America*, 119: e2114648119. Patri J-F., Cavallo A., Pullar K., Soriano M., Valente M., Koul A., Avenanti A., Panzeri S., Becchio C. (2020). Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action. *Current Biology*, 30: 4594–4605. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Stefano Panzeri and Cristina Becchio >

March 13, 2023

REMINDER – Application deadline approaching for the Systems Vision Science Summer School

by Pavlovic, Maria

Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tübingen, Germany -------------------------------- REMINDER APPLICATION DEADLINE MARCH 31, 2023! Applications are invited for a brand new summer school designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics, with talks and posters by additional participants. All summer school participants are invited to attend, and welcome to submit contributions to the symposium. For participation and contribution to the symposium only, click here <https://summerschool.lizhaoping.org/contributions-for-symposium/> to find more information. -------------------------------- Invited lecturers and speakers include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 -------------------------------- Please apply via https://summerschool.lizhaoping.org/application <https://summerschool.lizhaoping.org/application/> by March 31, 2023. Please check out our webpage https://summerschool.lizhaoping.org to find more out about the program, our invited lecturers/speakers, and other details. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

March 13, 2023

Barcelona summer school for Advanced Modelling of Behavior (BAMB!), July 19-27, 2023

by Klaus Wimmer

Applications for the Barcelona summer school for Advanced Modelling of Behavior (BAMB!<http://www.bambschool.org/>) are still open until March 15. Thanks to additional funding, we have reduced the course fee to 750 Eur. A limited number of course fee waivers and travel grants will also be available. Scientists from underrepresented groups and countries are especially encouraged to apply. BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive, systems and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). The school is organized by the Centre de Recerca Matemática<http://www.crm.cat/>. Organizers: Chris Summerfield (Oxford / Deepmind) Marion Rouault (Paris Brain Institute) Klaus Wimmer (CRM, Barcelona) Heike Stein (ENS, Paris) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Anne Collins (UC Berkeley) Elaine Corbett (UC Dublin) Maria Eckstein (Deepmind) Alex Hyafil (CRM, Barcelona) John Krakauer (John Hopkins) Marion Rouault (Paris Brain Institute) Chris Summerfield (Oxford / Deepmind) Valentin Wyart (ENS Paris) Klaus Wimmer (CRM, Barcelona) Dates and location: July 19-27, downtown Barcelona, Spain Applications are open until March 15. CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

March 11, 2023

Postdoctoral position in computational analyses of calcium imaging data, IIT (Italy)

by Stefano Panzeri

Profs Tommaso Fellin (IIT, Genoa, Italy) and Stefano Panzeri (UKE, Hamburg, Germany) are seeking candidates for a fully funded postdoctoral position in computational neuroscience at the Italian Institute of technology. The successful candidate will conduct research in the experimental Optical Approaches to Brain Functions Group led by Fellin at ITT ( https://www.iit.it/it/web/optical-approaches-to-brain-function) in close collaboration with the computational laboratory of Panzeri at UKE (Department of Excellence for Neural Information Processing https://www.uke.de/english/departments-institutes/institutes/department-of-…) We will investigate, by developing and using advanced data analysis methods and biophysically plausible network models, how populations of neurons and of astrocytes in the brain interact to encode information and use it to produce appropriate behaviors. Our laboratories have established a close and fruitful experimental-theoretical collaboration for a decade, and offer a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. We also offer thriving research environments, including many international collaborations several funded by the NIH Brain Initiative, the Simons Foundation, the European Union. This gives successful candidates strong opportunities for interdisciplinary training and scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available from May 2023 and applications will be considered as soon as they are received. Candidates are encouraged to email us ( tommaso.fellin(a)iit.it and stefano.panzeri(a)gmail.com) as soon as possible, to inform us of the interest for the position and initiate a discussion about research projects. For recent publications from our labs relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. PLoS Biology 20: e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Sità, et al A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging. Nat Commun 13, 1529 (2022) Antonini A, et al (2020) Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness *eLife* 9:e58882. Panzeri S, et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri and Tommaso Fellin

March 10, 2023

Postdoc position in Computational / Statistical Neuroscience @NYU

by Chen, Zhe

Postdoctral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from immediately, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) CV; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>).

March 10, 2023

Call for workshops for INCF Neuroinformatics Assembly 2023

by INCF

*Call for workshops for INCF Neuroinformatics Assembly 2023* Do you have a great workshop idea? Let us know! <http://bit.ly/INCFAssembly23WSideas> We are inviting all members of the INCF community to submit proposals for workshop themes to be included in the virtual INCF Neuroinformatics Assembly 2023 this autumn. Please note that submission of workshop themes does not require submitters to commit to being the workshop chair. This year’s theme is Transparency in FAIR Neuroinformatics. Here are some topics we would like to see represented at Assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools We encourage several forms of workshops: - Classical workshops that focus on a particular research area within neuroinformatics, including proposals for continuations of workshops that were held at previous general INCF Assemblies or discipline-specific conferences (e.g., OHBM, OCNS, FENS, etc…) - Workshops that focus on emerging neuroinformatics topics and applications or on open research questions and challenges - Cross-discipline workshops that foster the exchange of ideas between groups that are unaware of each other’s research - Birds-of-a-feather sessions - Other topics of interest to the neuroinformatics community Submit your ideas no later than March 24 using this form <https://forms.gle/d9z6BicgWNdWvN2b7>. /The INCF Secretariat

March 10, 2023

Advanced Medical Imaging Workshop in Python - Los Angeles - April 23-28 2023

by sreekar chigurupati

Dear Researcher, DIPY is an internationally-recognized software used for processing structural (3D) and diffusion (4D) imaging data. Funded by the NIH and used in surgical planning for over a decade. Join us for an exciting in person workshop hosted in Santa Monica, Los Angeles. April 23-28. https://dipy.org/workshops/latest This disruptive workshop provides 5 days of hands-on tutorial sessions in Python opening the box of the internal mechanisms of state-of-the-art ML algorithms. Our comprehensive program is designed to equip you with the skills and knowledge needed to master the latest techniques and tools in structural and diffusion imaging. Do not miss learning about our new set of ML-driven pre-processing tools! See figure above! Our team of expert instructors will guide you through the fundamentals of diffusion theory, data pre-processing, fiber tracking, and much more. You'll have the opportunity to learn from industry-leading professionals, ask questions, and network with like-minded peers. Register today to secure your spot in this highly anticipated event! Thank You, DIPY team

March 9, 2023

Women in Memory Research - Deadline approaching - 15.03.23

by Vinita Samarasinghe

A final reminder regarding our Women in Memory Research program. The deadline for applications is 15.03.23 (as is the deadline for submitting abstracts for GEM 2023). The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Ricarda Schubotz, University of Munster; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Resilience Workshop PM Funding and support structures 16.06.2023 Lab visits *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

March 9, 2023

Special Session on Recent Advances in Spiking Neural Networks at ICANN 2023 - Call for Papers

by Sebastian Otte

Special Session on Recent Advances in Spiking Neural Networks at the 32nd International Conference on Artificial Neural Networks (ICANN) 2023 - Call for Papers Conference Dates: 26th to 29th of September 2023 ======================================================================= The special session invites contributions on recent advances in spiking neural networks. Spiking neural networks have gained substantial attention recently as a candidate for low latency and low power AI substrate, with implementations being explored in neuromorphic hardware. This special session aims to bring together practitioners interested in efficient learning algorithms, data representations and applications. Methodological as well as applied contributions are solicited, including topics like (non-exhaustive list): - Spiking Neural Network Models - Spike Response Models - Temporal Codes - Learning Algorithms for SNNs - Neuromorphic Computing Contributions (full papers or extended abstracts) have to be submitted through the regular ICANN submission system at: https://e-nns.org/icann2023/ Select track ASNN 2023 (Recent Advances in Spiking Neural Networks Special Session). Accepted papers to the special session will appear in the proceedings of the ICANN 2023 conference. IMPORTANT DATES: - Full paper and extended abstract submission: Apr. 9, 2023 - Notification of acceptance: 30th of June 2023 - Conference dates: 26 – 29 September 2023 PROGRAM COMMITTEE: t.b.a. ORGANIZERS: Prof. Dr. Sander Bohté Machine Learling Centrum Wiskunde & Informatica (CWI) Amsterdam, The Netherlands Dr. Sebastian Otte Neuro-Cognitive Modeling University of Tübingen Tübingen, Germany Please find a PDF version of this call at: https://bit.ly/3mkXeJt

March 7, 2023

[Meetings] 2023 Nengo Summer School Call For Applications (deadline March 15)

by Michael Furlong

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 8th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: March 15, 2023*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 4th to June 16th, 2023 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you!

March 7, 2023

Konstanz School of Collective Behavior 2023 Deadline Approaching .

by Ahmed El Hady

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

March 7, 2023

Postdoc & PhD positions in TU Darmstadt, Germany

by Angela Yu

Postdoc & PhD positions in TU Darmstadt, Germany After 14 years as faculty at the University of California (San Diego), Prof. Angela Yu has recently joined TU Darmstadt as an Alexander von Humboldt AI Professor. Immediately available, and for the foreseeable future, are multiple positions for: Postdocs PhD students Master’s students Interns Research assistants Prof. Yu’s group conducts research at the intersection of natural and artificial intelligence. Her group uses mathematically rigorous and algorithmically diverse tools to understand the nature of representation and computations that give rise to intelligent behavior, with particular regard to the challenges posed by inferential uncertainty and the opportunities afforded by volitional movement. Using diverse machine learning and statistical tools, e.g. Bayesian statistical modeling, control theory, reinforcement learning, and information theory, theoretical frameworks and mathematical models are developed to explain various aspects of cognition important for intelligence: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Some example research questions currently pursued in the group include: - How does the ability to move and interact with the world facilitate perception, decision making, and representation learning? - Are human attention and working memory capacity limitation bugs or features? - How do humans represent and process faces? - How does the brain learn a general-purpose representation with so little labeled data and in the absence of concrete tasks? - How are humans so good at problem solving and logical reasoning, and yet also prone to certain fallacies and illusion in cognition & perception? - What do IQ tests actually measure and what light can they shed on AI research? - What roles do intrinsic motivations such as curiosity and emotions play in intelligence? With her expertise in computational neuroscience and cognitive science, as well as her previous experience in computational modeling and collaborations with psychologists, psychiatrists, neuroscientists, computer scientists, and mathematicians, Dr. Yu will strengthen and complement research at the Centre for Cognitive Science at TU Darmstadt and at hessian.AI, the Centre for Artificial Intelligence of Hesse based in Darmstadt. Her group members are encouraged and expected to collaborate extensively with preeminent researchers in cognitive science, AI, neuroscience, and related fields in Darmstadt and nearby research centers (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen, etc.). Positions are available immediately, and will remain open until filled. Salaries are commensurate with experience and expertise, and highly competitive with U.S. and European standards. Written and spoken fluency in English is required. Fluency in German is not. Interested candidates should send to Prof. Yu (angela(a)angelayu.org <mailto:angela@angelayu.org>) a CV, transcript(s), contact info for 2-4 references, as well as a statement of research detailing why the candidate and Prof. Yu’s group are a particularly good fit for each other.

March 6, 2023

Postdoc in computational neuroscience/machine learning at the University of Nottingham (UK)

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make innumerable stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to develop new computational accounts of stay-or-leave decisions, and use them to test hypotheses for how humans, primates, and rodents learn and make these decisions. The work will draw on and develop new reinforcement learning and accumulation (e.g. diffusion) models of decision-making. The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world (https://www.humphries-lab.org) This post will join our developing research program into how humans and other animals learn to make the right decisions (e.g. https://doi.org/10.1101/2022.08.30.505807) The post is until 14th February 2025. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI092323 Closing date: March 30th 2023 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

March 6, 2023

Information Decomposition Workshop, Dresden, June 5-9, 2023

by Ari Pakman

Dear colleagues, We are pleased to inform you about our upcoming workshop on partial information decomposition (PID). The workshop will be called Decomposing Multivariate Information in Complex Systems (DeMICS 23) and will take place during June 5th - 9th, 2023 at the Max Planck Institute for the Physics of Complex Systems (MPI PKS) in Dresden. To participate please apply via the application link on the conference website: https://www.pks.mpg.de/demics23 Please forward this to anyone you consider interested in partial information decomposition, especially if you are unable to attend yourself. Please note the approaching application deadline on March 31st. Applications before this date will be considered preferentially. For successful applicants, meals and accommodation will be provided by the MPI PKS, with a small fee of 140 EUR asked for to cover social dinners, excursion and coffee breaks. We look forward to seeing you in Dresden! Kind regards, Conor Finn Ari Pakman Michael Wibral

March 6, 2023

Professor / Associate Professor in Biomedical Engineering at the University of Wollongong, Australia

by Manish Sreenivasa

*Permanent/Continuing, full-time appointment – Further details and application portal <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* The School of Mechanical, Materials, Mechatronic and Biomedical Engineering at UOW, Australia, is committed to research and teaching excellence through its world-class undergraduate and postgraduate programs in a range of exciting areas of technology and sustainability. Lead, guide and coordinate the development of Biomedical Engineering at UOW, in one of the top Engineering faculties in Australia, ranked 6th in Australia and 83rd in the world (THE, World Rankings by Subject 2022). This position will be a discipline lead in the School of Mechanical, Materials, Mechatronic, and Biomedical (MMMB) Engineering, which offers a unique mix of study and research areas embracing sustainable manufacturing, green power, robotics, medical devices and much more. The Biomedical Engineering discipline has been established to focus on research and development of novel medical and diagnostic devices including prosthetics, orthotics, assistive and rehabilitation devices, artificial organs, tools, systems and technology to deliver substantial healthcare benefit and improve the quality of life for individuals. Research expertise based on any of the following sub-fields is preferred: - Bionics and neuroengineering - Brain-computer interfaces or brain-machine interfaces, - Rehabilitation engineering - Biosensing and instrumentation - Tissue/cell biomechanics/ mechanotransduction - Artificial organs and implants - Musculoskeletal modelling - Physiological modelling - Electroceuticals - Prosthetics and orthotics - Orthopaedic Engineering (especially in orthopaedic biomechanics) *See full details of the offer, position details and contact information here. <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…

March 3, 2023

HBP Summit Satellite Events Day

by HBP Education

HBP Summit Satellite Events Day 27 March 2023, 09:00 - 18:30 | Marseille, France Registration is now open and free of charge! The HBP Summit Satellites Events Day is taking place before the HBP Summit offering free trainings on EBRAINS tools and eServices, as well as opportunities to network with experts and peers in a beautiful setting of Palais du Pharo in Marseille. Registration for all participants is free of charge but mandatory. For further information and registration: https://summit2023.humanbrainproject.eu/satellite-events-day/ <https://summit2023.humanbrainproject.eu/satellite-events-day/>

March 2, 2023

PhD position in Neurotechnology at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany

by Reichenbach, Tobias

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. You will develop novel methods to measure acoustic emissions from the inner ear (otoacooustic emissions) related to speech, and evaluate these emissions regarding cognitive factors such as selective attention. To this end, you will employ advanced methods of signal processing as well as machine learning. The developed methods can have applications in future diagnostics of hearing impairment as well as in neurofeedback for future hearing aids. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Werner-von-Siemens-Strasse 61 91052 Erlangen https://www.neurotech.tf.fau.eu/

March 2, 2023

PhD Position, Moreno Lab, Comp Neuro, Barcelona

by Ruben Moreno Bote

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind and artificial intelligence. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2023 and January 2024 -- Rubén Moreno Bote Serra Húnter Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

March 1, 2023

PhD position in Natural Language Processing and Machine Learning at IT University of Copenhagen (deadline April 1st)

by Stefan Heinrich

Full-time PhD position at IT University of Copenhagen, under the umbrella of the Pioneer Centre for AI, Denmark, starting in Summer-Autumn 2023. Topic: Modelling compositional language structures across languages. The origin of language development of human beings can at least be traced back to two sources: the survival needs for communication and the unique wiring of human brains. The two factors can co-develop with each other through life-span. Nevertheless, languages from the whole world are with tremendous diversity. Yet, given the fact that all human brains share very similar structures and connection patterns, which presumably afford for similar ways to encode and decode information from the external world, there likely exist some hidden common structures, like some word orders or numbers of phonemes in a language, that are shared at least within, or even across, language families. An important constraint for these similar structures comes from the theory that the brain is processing language embodied in all our senses and via processing streams that are also involved in a range of other cognitive functions from specific motor control up to general problem-solving. This suggests that language comprehension and production, in fact, developed on top of existing information processing schemes, which in turn might have similarly shaped how the different language families have developed. A particular mechanism that was recently hypothesized to give rise to the structure of the brain’s sequence processing is temporal compositionality and chunking, which seemingly operate on language sequences as well. With this PhD project, we want to identify and describe the specific, latent temporal encoding structures that may constrain the temporal features of spoken language. In this project, the candidate will study structure patterns in spoken language and investigate how to build a model that can extract temporal characteristics of speech across different languages. Since the project is interdisciplinary, active collaboration within the Pioneer Centre for AI, as well as with experts in computational neuroscience and developmental psychology in Germany and Japan are planned. Application details: The ideal candidate should have a Masters in Computer Science, Computational Neuroscience, Computational Linguistics, Developmental Psychology, Cognitive Science or related fields, as well as a strong interest in interdisciplinary research, at the intersection of Natural Language Processing, Machine Learning, and Psycholinguistics. The salary scale will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations for a full-time position. As a PhD Student at the Pioneer Centre for AI you will have extraordinary access to computing resources, international researchers across disciplines, courses and events at the centre and meaning collaboration with industry, the public sector etc. ITU is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The University offers an informal working environment, a varied everyday life, and a highly motivated, competent, diverse, and international faculty. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and a well-functioning infrastructure. The city is also among the world’s most liveable cities according to the Economist Global Liveability Index. Candidates will work together with Stefan Heinrich (stehe(a)itu.dk) and Barbara Plank (bapl(a)itu.dk) and are encouraged to get in contact for details. Link to further application information: https://www.aicentre.dk/phd-openings - and application link: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Application deadline: 01 April 2023, at 23:59 CET. -- *************************** Dr. Stefan Heinrich Assistant Professor Computer Science Department IT University of Copenhagen https://stefanheinrich.net/ ***************************

Feb. 28, 2023

Tenure-track position in computational neuroscience

by Asohan Amarasingham

Dear Colleagues, The Department of Psychology at the City College of New York (CCNY) of the City University of New York (CUNY) is currently soliciting applications for a tenure-track assistant professorship in computational neuroscience. Review of applications will begin on March 3, 2023. Please consider submitting an application. Best regards, Asohan Amarasingham FACULTY VACANCY ANNOUNCEMENT The Department of Psychology at the City College of New York (CCNY) invites applications for a full-time, tenure-track faculty position in computational neuroscience at the rank of Assistant Professor to begin in Fall 2023. The CCNY Psychology Department is a vibrant, diverse department located in Harlem, serving over 2000 undergraduate majors, with master's programs in General Psychology and Mental Health Counseling, a doctoral program in Clinical Psychology, and is affiliated with Ph.D. programs in Psychology and Neuroscience at the CUNY Graduate Center. The ideal candidate will use an innovative combination of computational, data-analytic, and/or modeling techniques to better understand how the brain gives rise to cognitive phenomena. All areas of relevance to cognitive neuroscience are of interest, including but not limited to: sensation, perception, emotion, memory, language, learning and reward, and consciousness. Successful applicants will be encouraged to participate in all programs the Department offers and to pursue interdisciplinary collaborations within and across the program, the department, and other departments at the College, including the Grove School of Engineering, the CUNY School of Medicine, and many related programs at the CUNY Graduate Center, including the CUNY Advanced Science Research Center, the Initiative for Theoretical Sciences, and allied doctoral and master's programs that span the sciences. They will be responsible for teaching, research, and mentorship/advisement duties. They also will share responsibility for committee and department assignments including administrative, supervisory, and other functions. QUALIFICATIONS A Ph.D. in psychology, neuroscience, applied mathematics, computer science, engineering, or a similarly allied field is required. The candidate is expected to maintain an active program of research, publish theoretical and empirical research in top-tier journals, be committed to both undergraduate and graduate education, and provide mentoring/advisement to students. Potential for obtaining external grant support is essential. Also required is the ability to teach successfully, demonstrated scholarship or achievement, and the ability to cooperate with others for the good of the institution. COMPENSATION CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY Only applications submitted through CUNYfirst will be considered for this position. If you are viewing this job posting externally, please apply as follows: * Go to www.cuny.edu <http://www.cuny.edu/> and click on "Employment" * Click "Search job listings" * Click on "More options to search for CUNY jobs" * Search for Job Opening ID number 25407 Click on the "Apply Now" button and follow the instructions. Applications, including the following must be uploaded to the CUNYfirst job application website as a single PDF document: 1. Cover Letter 2. Curriculum Vitae 3. Statement of research interest and goals 4. Selected Publications 5. Three (3) confidential letters of recommendation sent to kwok(a)ccny.cuny.edu<mailto:hkwok@ccny.cuny.edu>

Feb. 28, 2023

NEST Conference 2023 – Save the date & registration

by Hans Ekkehard Plesser

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2023. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! This year's conference will take place as a virtual event on 15-16 June 2023. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

Feb. 27, 2023

Call for applications - MSc Neuroscience, Uni Freiburg (Germany)

by Carsten Mehring

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from multiple faculties and neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in neural circuits and behavior, computational neuroscience and neurotechnology. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science, medicine or engineering sciences. The deadline for applications for the October 2023 entry is the 31st of March 2023. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

Feb. 27, 2023

post-doc position on interacting neuronal assemblies at University of Genova

by Paolo Massobrio

We are seeking highly motivated candidates for a post-doctoral position (1 year) at the Neuroengineering and NeuroTechnology Lab, <http://www.unige.it/> University of Genova, Genova, ITALY. The candidate will be involved in the funded PNRR Italian Project Mnesys (https://mnesys.eu/) a large neuroscience and neuropharmacology consortium coordinated by University of Genova which involves 25 partners. Among the topics of the project, the one which will involve the candidate deals with both computational and experimental staffs. In particular, the candidate will work with experimental models of brain-on-a-chip where different neuronal populations (e.g., cortical-hippocampal; cortical-thalamic; cortical-cerebellar, .) interact originating complex neuronal dynamics. Depending on the candidate attitude, she/he will be involved in the development of large-scale computational models of such interconnected neuronal networks or the development of advanced algorithms to infer functional and dynamical properties originated by the interactions of these ensembles. Requirements: Candidates must have: 1) a PhD in bioengineering, computational neuroscience, physics, engineering, mathematics or a related field; 2) Excellent programming skills in Python, Matlab, C++/C#, 3) a published record of research in the field of computational neuroscience and/or neuroengineering; 4) experience in electrophysiological data analysis and/or modeling. Deadline for submitting the application is March 13th, 2023. The selected candidates will be contacted for a further interview during the following week. The earliest possible starting date is April 1st, 2023, and the position will last for 1 year (possible extension). Our research group has a long tradition in studying the interactions between neuronal populations coupling to Micro-Electrode Arrays (MEAs). See for example the following papers: 1. F. Callegari, M. Brofiga, P. Massobrio. Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays. PLoS Computational Biology, 2023. 2. M. Brofiga, M. Pisano, M. Tedesco, A. Boccaccio, P. Massobrio. Functional inhibitory connections modulate the electrophysiological activity patterns of cortical-hippocampal ensembles, Cerebral Cortex, 2022. 3. P. Massobrio, V. Pasquale, S. Martinoia. Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks, Scientific Reports, 2015. 4. T. Kanagasabapathi, P. Massobrio, R. A. Barone, M. Tedesco, S. Martinoia, W. J. Wadman, M. M. J. Decre. Functional connectivity and dynamics of cortical-thalamic networks co-cultured in a dual compartment device. Journal of Neural Engineering, 2012. Our labs are located in Genova <https://www.visitgenoa.it/en/iat> , a beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Applications must include an extended CV, a motivation letter, the most relevant papers, and names and addresses of two references. If you are interested, please send your application to: Paolo Massobrio e-mail: paolo.massobrio(a)unige.it <mailto:paolo.massobrio@unige.it> Tel: +39-010-3352761 _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Neurotechnology Lab Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3352761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

Feb. 27, 2023

Research Assoc Opening

by Yuvaraj Rajamanickam

Hi Everyone, I hope you are all doing well! I am looking for a research associate for my project titled "Automated Boredom Detection using Multimodal Physiological Signals." If you could share the information with potential candidates, I would appreciate it. For more information, please refer to the job advertisement link. https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Res… Regards YUVARAJ

Feb. 27, 2023

LiSNN Seminar: Felix Effenberger - A biology-inspired recurrent oscillator network for computations in high-dimensional state space

by Tristan Manfred Stöber

Dear friends and colleagues, as part of the Learning in Spiking Neural Networks Seminar Series are we cordially inviting you to the following presentation. Speaker: Felix Effenberger - Ernst Strüngmann Institute, Frankfurt am Main, Germany Title: A biology-inspired recurrent oscillator network for computations in high-dimensional state space Abstract: Biological neuronal networks have the propensity to oscillate. However, it is unclear whether these oscillations are a mere byproduct of neuronal interactions or serve computational purposes. Therefore, we implemented hallmark features of the cerebral cortex in recurrent neuronal networks (RNNs) simulated in silico and examined their performance on common pattern recognition tasks after training with a gradient-based learning rule. We find that by configuring network nodes as damped harmonic oscillators (DHOs), performance is substantially improved over non-oscillating architectures and that the introduction of heterogeneous nodes, conduction delays, and network modularity further improved performance. We furthermore provide a proof of concept of how unsupervised Hebbian learning can work in such networks. Analyses of network activity illustrate how the nonlinear dynamics of coupled DHOs drive performance, and provide plausible a posteriori explanations for a number of physiological phenomena whose function so far has been elusive. Also check out the corresponding preprint [1]. Time: 3rd of March 2023 at 14:00 Central European Time. Venue: Hybrid meeting, both on Zoom [2] and in person at the Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Lecture Hall 100. Best wishes in the name of the GRADE Initiative Learning in Spiking Neural Networks, Tristan Stöber Ps: Videos of previous events can be found on our youtube channel [3] [1] https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1.abstract [2] https://ruhr-uni-bochum.zoom.us/my/tristanstoeber?pwd=YnZ2RlZVTUZPU2ZhNlFyR… [3] https://www.youtube.com/@lisnn.channel5458

Feb. 24, 2023

Postdoctoral position in individual differences of plasticity in blindness (Washington DC)

by Ella Striem-Amit

*Postdoctoral researcher position in individual differences of plasticity in blindness* The Sensory and Motor Plasticity Lab, led by Ella Striem-Amit, is currently recruiting a highly motivated and dedicated Postdoctoral researcher to join their team at Georgetown University in Washington DC, USA. The SAMP lab explores brain organization and experience-dependent plasticity by studying people born blind, deaf, or without hands, using behavioral and fMRI state-of-the-art analytical techniques. The successful applicant will work on the topic of individual differences in plasticity in people born blind. Specifically, the project will test how brain plasticity in blindness may manifest differently in different individuals, and how these differences may account for their compensatory skills and use of assistive devices. For more information about the lab, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. Excellent understanding of and experience with fMRI and data analysis are required. Strong programming skills (Matlab/R/python, etc.) are also a requirement. The position is not limited to US citizens. The start date is September-October 2023, but flexible in exceptional circumstances. This position is available for up to 4 years. To apply, please email your CV and a brief statement of research interests to Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

Feb. 24, 2023

Call for abstracts 'Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, 25th – 27th of October 2023 in Hanover, Herrenhausen castle - Germany

by Prof. Dr. Gordon Pipa

We are happy announce the “Neuromorphic, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”, taking place from 25th – 27th of October 2023 in Hanover, Herrenhausen castle. Please see our website for information https://nnpc-conference.com/ . The general aim of the conference is to boost interdisciplinary transfer of ideas and networking in the wider fields of non-digital computing. NNPC 2023 is a successor to the 2018 conference “Cognitive Computing: Merging Concepts with Hardware” (https://nnpc-conference.com/2018/ ) whose very productive and motivating format will be kept. The event is generously supported by the Volkswagen Foundation. The conference will run in 5 single-track sessions. 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. To ensure maximum participation, all attendees are required to submit a 2-page abstract on a subject relating to one of the session themes. These abstracts are peer-reviewed. All accepted submissions will be granted an oral or poster presentation slot, and hosted publicly on the conference website upon agreement by the authors. Importantly, novelty is not essential as our aim is to make knowledge to diffuse across boundaries of the scientific domains involved. You find more detailed information about the aims, background, and thematic structure of this event in the Appendix. The submission form will be available on the conference website shortly. • Submission deadline: March 15th 2023. • Notify authors of acceptance: April 30th 2023. • Notify authors of type of contribution: May 14th 2023. We look forward to hearing from you and to meet in person to make NNPC 2023 a memorable success. With best regards, the Conference Chairs Conference Chairs: Daniel Brunner (photonics, neuromorphic architectures; CNRS) Gordon Pipa (neuroinformatics and cognitive computing; University of Osnabrück) Damien Querlioz (Bioinspired Nanolectronics; Université Paris-Saclay France) Susan Stepney (unconventional computing; University of York, UK) Financial chair: Herbert Jaeger (machine learning, nonlinear dynamics; University of Groningen) Appendix: Aims, structure, venue, and funding of the conference Overview of aims and structure. Four years ago, the pioneering conference Cognitive Computing: Merging Concepts with Hardware assembled a wide-spanning multidisciplinary audience to share and merge insights about non-standard concepts and technologies of computing. At least four traditions were brought together: • Neuromorphic computing: “learn from the brain” • Natural computing: “look at nature’s complex systems” • Physical computing: “use physical effects directly” • Non-standard theoretical computer science: “think outside the Turing machine” Work in these fields has enormously picked up speed in the interim, but it is still a plurality of traditions carried by a multitude of communities. We still lack unified concepts, shared terminology, transferable methods and common goals. After four years, it is a good time to take stock of progress that has been made, and to re-invigorate the effort of connecting our dispersed findings into a joint vision. We do not yet know how we will ultimately name our emerging field of generalized “computing” science. For the time being we will refer to it by calling out its main traditional anchors: Neuromorphic, Natural and Physical Computing (NNPC). In five sessions with much breakout times for personal exchange, we will explore 1. Theory: new concepts and mathematical foundations, 2. Physical substrates: materials, devices, micro-architectures, 3. Guides from nature: neuroscience, theoretical biology, complex systems, 4. Scaling up: modular architectures, complex data structures and processes, 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Each session will be commenced by a 1-hour invited keynotes and feature three 30-minute oral presentations selected from the submitted abstracts. In addition we will invite three 1-hour plenary lectures that cross the session themes. This leaves much time for breaks and extensive poster sessions, a condition that will be creating a productive atmosphere for personal networking. Here are the specifics of the five sessions: Session 1. Theory: new concepts and mathematical foundations. The physical substrates of NNPC will host dynamical phenomena that defy the principles of digital computing. Instead of relying on reproducible, stable binary switching, NNPC exploits dynamical processes that are stochastic, non-stationary, continuous-valued, un-clocked and spatially distributed. In order to enable a systematic, insightful design of NNPC systems, new conceptual frameworks and mathematical formalisms are needed. Suggestive topics: • Representing symbols, discrete data structures and operations in nonlinear dynamics • Non-Shannon definitions and measures of information • Emergent phenomena in collective dynamics • Nanoscale or collective phenomena which can serve as computational primitives • Entrainment of NNPC system dynamics to input streams • Temporally and spatially multiscale modeling of complex dynamics • Stabilization and self-calibration mechanisms • Life-long change: aging, continual learning, adaptation to changing tasks and environments • Adaptations of classical (deep) neural network architectures and algorithms to NNPC hardware • Integrative formal languages which unify selected aspects across, for example, stochastic processes, information theory, nonlinear dynamics, topology and graph theory, algebra or signals, systems and control • New kinds of formal logics to capture semantics of NNPC processes • Analyses of ultimate energy minimization or information density • Fundamental models of NNPC systems, analog to the Turing machine model for digital computing Session 2. Physical substrates: materials, devices, micro-architectures. Biological brains are so efficient because evolution has found ways to exploit a host of physiological and physical effects which neuronal tissue can offer. Extending this idea of “exploiting the physics” beyond brains, the strategy of what has been called “physical computing” or “in-materio computing” is to find ways to exploit for NNPC whatever physics can offer, opening up for effects that are inaccessible to neurophysiological substrates (and accessible to engineering and fabrication). Suggestive topics: • Physical phenomena supporting computing provided by nano- or microscale devices, across physical domains (electronic, photonic, spintronic, mechanic, chemical, etc.) • Exploiting quantum effects in other ways than in classical quantum computing (e.g. quantum reservoirs) • Spatial structuring in thin films or 3D substrates, boundary formation • Nano- or microscale phase transitions and percolation • Small-scale physical structures with heterogeneous or self-organizing phase-change materials • Non-wire-bound information transfer in physical media through diffusion, fields, soliton or wave propagation, or mechanical transmission • Novel devices with non-digital, modulatable input-output transfer functions • Phenomena and devices with slow-fast dynamics where the slow dynamics can be used for learning or adaptation • Analyses and characterization of computationally potentially relevant properties of materials and devices • Development of “practically useful” materials and devices: long endurance, operation at room temperature, fabricability • Functional ensembles of novel devices in the spirit of neural microcircuits or elementary integrated circuits • Progress in currently investigated neuromorphic architectures (memristor crossbars, spike routing, analog neuron and synapse circuits) Session 3. Guides from nature: neuroscience, theoretical biology, complex systems. Biological brains are currently cited as the living proof that highly energy-efficient and “cognitive” computing beyond the limits of the digital paradigm are possible. This has led to the current dominance of the term “neuromorphic” when one wants to point to alternative computing technologies. However, there is also a long tradition of other non-digital computing proposals, which have been referred to by names like natural / physical / unconventional computing, and which have been pursued in various niches of CS, AI, Alife, theoretical physics and biology, and elsewhere. Our conference gives a forum for all alternative computing paradigms, neuromorphic and other sorts of “unconventional”. Suggested topics: • Learning from the brain: neuro-computational principles, circuits, architectures, and control flows: the neural engineering framework, neural field theory, neural sampling and others • Current developments in DNA computing, swarm intelligence, fungus computing, pattern theory, stochastic and hyperdimensional computing, membrane computing, immune systems, reservoir computing and others • Neuro-plausible learning and optimization concepts, potentially leveraging self-organization and enabling features like continuous learning, learning without forgetting • How do humans / animals build their world models? • Strategies from nature for system robustness (theoretical biology, neuroscience, ecology) • Pre-rational intelligence in animals from amoeba to insects to pigeons, zebra finches and rats (and the pre-rational information processing in humans, too) • Computational interpretations of self-organization in complex natural systems • ALife views on computing systems Session 4. Scaling up: modular architectures, complex data structures and processes. A key factor that empowered digital computing to become a world-changing technology is its scalability. Starting from concatenating bits into bitstrings and Boolean gates into Boolean circuits, arbitrarily compounded hierarchical data structures and program flows can be designed according to well-understood compositional principles. General principles of compositionality for non-symbolic information representations and arbitrarily extensible processing hierarchies for NNPC await their discovery. On the hardware side, only a few proposals for extensible multi-module neuromorphic architectures have been proposed (SpiNNaker immediately comes to mind) which present technical solutions for neural signal routing but are still limited with regards to functional and architectural diversity of the joinable modules. From a use case view, compositional principles for NNPC task specifications are likewise still restricted to specific, limited computational paradigms (as in the neural engineering framework or Act-R). Progress in general principles for scaling systems to arbitrary complexity is a key condition for the long-term sustainability of NNPC. Suggested topics: • Concepts for compositional non-symbolic “data” and information representation • Concepts for compositional procedure hierarchies • Synchronization mechanisms in unclocked parallel computing systems • Cognitive architectures, hierarchical control principles, autonomous agent models • Configuration principles for multi-module neural network architectures • Bidirectional top-down and bottom-up processing in deep neural (and other) architectures • Unclocked FPGA demonstrations • Routing and addressing mechanisms – formal and in hardware • Fundamental questions of hardware topology and physical integration to enable scalability of resources (energy, space, heat deposition, etc.) • High-capacity, richly structured long-term memory • Lifelong learning in NNPC systems • Growing hardware systems • Multi-modal sensor signal processing in non-digital neuromorphic systems • Progress in large-scale neuromorphic systems • Distributed energy supply in NNPC systems • Distributed input and output channeling to/from NNPC systems • NNPC-suited communication formats and networking solutions • Deep spiking neural networks and multi-module recurrent neural networks suitable for analog hardware realizations • Options and limits of commercial fabricability • Hybrid digital-NNPC systems aiming for scalable complexity Session 5. Applications: demonstrators, use-cases, user interfacing, hybrid solutions. Commercially or societally relevant scenarios for NNPC applications are still confined to niches. This is certainly due, on the one hand, to the early stage of NNPC research which is still mostly foundational and academic. But on the other hand, in our search for broad application scenarios we might be partly blinded by the urge to replace digital solutions in order to outwit the “End of Moore’s Law” and save energy. While this original motivation will remain strong and continue to call for NNPC solutions, other NNPC systems may turn out to be so different from digital systems that they cannot simply be plugged in where the latter are to be phased out. To the extent that NNPC systems become more brain-like (self-organizing, aging, with individual learning histories) they also become less computer-like. They may not be programmable in the accustomed way but need to be trained; they may not be identically reproducible but individual; they may not be re-bootable from some starting state but always-on (and might “die” if cut from energy supply). On the plus side, besides their energy efficiency they may boast an admirable robustness against variable or noisy input and physical damage; realize enormous data throughput rates; be bio-implantable; find creative un-premediated solutions for their tasks, and last but not least they may be un-hackable due to their individuality. All of this requires a thorough re-thinking of what an information-processing system is, what it can be used for, or what it can be doing all on its own. This is an interdisciplinary agenda which involves not only engineers but also psychologists, sociologists, economists and philosophers. Suggested topics: • Progress in currently discussed application scenarios: optical computing for communication systems, implantable neurochips and neuroprosthetics, ultra-low power or even energy harvesting edge computing, sensing and control for compliant or soft robots, analog/spiking adaptations of deep learning techniques, ubiquitous sensing, and more. • Methods to “make NNPC systems do what we want”: generalized concepts of “programming”, physical and functional configuration methods, training and scaffolding schemes, evolutionary optimization • Engineering pipelines: how would they differ from the digital system development routines? • How to “use” intelligent autonomous agents (avatars, game characters, robots) • Explainable NNPC: from formal analyses of trained distributed systems to accountability ethics of autonomous, individual artificial agents • Philosophy of engineering: a concept shift from reproducible, controllable tools to individual agents and personal companions • Interdisciplinary education: academic study programs, web services, funding initiatives Conference venue. The venue, the Castle of Herrenhausen (https://www.schloss-herrenhausen.de/en/home/ ), a heritage of the Kings of Hannover – who for a long historical period were at the same time Kings of England – was transformed into an award-winning center for scientific events and is today administered and maintained through the Volkswagen Foundation. The Herrenhausen Gardens stretch across hectares of classical French gardening. Why the Volkswagen Foundation supports NNPC. All funding is provided by the Volkswagen Foundation (https://www.volkswagenstiftung.de/en ), Germany’s largest private organization for the advancement of scientific research. The funding covers the royal conference venue, excellent catering, travel and accommodation for all speakers and the session chairs, and fee waivers for every participant. There is a reason for this generous commitment. The Foundation focuses its investments on a small number of research fields across all sciences that are (i) interdisciplinary and in a nascent stadium, (ii) not yet widely funded by industry or public agencies, (iii) show a potential for foundational discoveries and long-term societal benefits. One of these foci identified by the Foundation coincides with the themes of NNPC: non-digital computing technologies, including but not limited to neuromorphic computing, across all levels from materials through devices, microchip technologies, new computing paradigms, user-machine interaction scenarios, to the philosophy of computing and societal impact. The 2018 conference “Cognitive Computing” was a trigger for the Foundation to adopt this theme. Within this theme, the Foundation supports a spectrum of activities, among them our 2023 conference.

Feb. 24, 2023

Postdoctoral positions in learning and pain modulation, NIH

by Atlas, Lauren (NIH/NCCIH) [E]

Dr. Lauren Atlas’s laboratory<https://www.nccih.nih.gov/research/intramural/section-on-affective-neurosci…> is recruiting one to two postdoctoral researchers with expertise in fMRI and affective science to join the Section on Affective Neuroscience and Pain (ANP) to lead new projects on the psychological modulation of pain and emotional experience. Dr. Atlas’s lab is part of the National Center for Complementary and Integrative Health’s (NCCIH) intramural research program<https://www.nccih.nih.gov/research/intramural>, and affiliated with the Intramural Research Programs of the National Institute of Mental Health (NIMH) and National Institute on Drug Abuse (NIDA). Learn more about the NIH Intramural Training Program.<https://www.training.nih.gov/programs> Research in the ANP Lab focuses on the mechanisms by which expectations, learning, and other cognitive and affective factors influence pain, emotion, and clinical outcomes. We combine approaches from experimental psychology, neuroimaging, psychophysiology, and computational modeling to investigate pain and emotional experience in healthy individuals as well as individuals with chronic pain and/or affective disorders. We are particularly interested in the intersection of appetitive and aversive learning, how psychosocial factors influence pain and clinical outcomes, and questions motivated by pain’s central role in the opioid crisis. Postdoctoral researchers are expected to develop their own projects, with guidance, and to collaborate with other researchers in the lab as well as in the broader NIH community. We are looking for someone to spearhead new projects using high field imaging (7T-FMRI) to examine pain and perception across domains and/or using simultaneous PET-MRI to study the role of dopamine and opioids in pain modulation. Clinical collaborations to look at the intersection between pain, mental health, and/or substance use disorders are also possible. The candidate should have a strong background in psychology and neuroscience and must have received a Ph.D. in a relevant field by the time of appointment. Candidates with successful publications in the fields of pain, emotion, and/or computational modeling are encouraged to apply. Postdoctoral positions require experience with 1) design of behavioral and fMRI experiments, 2) analysis of fMRI data using statistical parametric mapping packages (SPM, AFNI, etc.), and 3) programming and analysis skills in MATLAB, R, and/or Python. These requirements will be flexible for candidates with clinical experience or experience in psychopharmacology, as we are currently planning clinical collaborations. Appointments and salary are commensurate with research experience and accomplishments (www.training.nih.gov/programs/postdoc_irp<http://www.training.nih.gov/programs/postdoc_irp>). The candidate will be supported with the excellent intramural NIH fellowship in a stimulating and interactive research environment at NIH. NIH has exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS. Our lab is fully funded with dedicated weekly scan time, a full-time data analyst, and the opportunity to work alongside some of the world’s foremost fMRI experts. Training in advanced imaging and other techniques is available, as are courses in grant writing and career development. Trainees can also apply to be fellows in the Center on Compulsive Behaviors<https://research.ninds.nih.gov/researchers/center-compulsive-behaviors-ccb#….>, a trans-NIH fellowship program. This is an exciting and collaborative environment for those interested in pursuing a career in clinical or cognitive neuroscience. How To Apply Applicants should submit a CV, a brief description of research interests and career goals, and the names of three references to Dr. Lauren Atlas<mailto:lauren.atlas@nih.gov> (Investigator/Chief, Section on Affective Neuroscience and Pain, NCCIH/NIMH/NIDA, NIH). Applications will be reviewed on a rolling basis. Applications will be accepted until the position is filled. The Department of Health and Human Services and NIH are equal opportunity employers committed to equity, diversity, and inclusion.

Feb. 23, 2023

Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany

by Pavlovic, Maria

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

Feb. 23, 2023

Research Associate on project “A technology to extract memories from the human brain”

by Howard Bowman

POSTDOC RESEARCH ASSOCIATE ON PROJECT “A TECHNOLOGY TO EXTRACT MEMORIES FROM THE HUMAN BRAIN USING EFIT6 AND THE FRINGE-P3 BRAINWAVE METHOD” School of Psychology and Centre for Human Brain Health, University of Birmingham, UK. We are looking for a researcher with neuroimaging and machine learning expertise. The Fringe-P3 method (Bowman et al, 2013; Alsufyani et al, 2019) developed out of a line of theoretical work focussed on temporal attention and perception on the fringe of awareness (Bowman & Wyble, 2007; Avilés et al, 2020; Bowman & Avilés, 2022). The method provides a means to present a large number of visual stimuli very rapidly to a participant’s brain and then determine with EEG, which of those stimuli the participant finds salient. A very simple form of salience that we look at is familiarity, with stimuli that are familiar breaking into participants’ awareness and thereby generating a P3 (or a variant of it), which we detect with EEG. The method has been proposed as a deception detector, specifically, a (countermeasures-resistant) concealed-knowledge test (Bowman et al, 2013, 2014; Alsufyani et al, 2019; Harris et al, 2021). Our recent Innovate UK project with the company Visionmetric (https://visionmetric.com/) used the Fringe-P3 method to provide a prototype system for extracting the memory of a face. This is done by generating a facial morph that is a weighted average of the faces presented in rapid serial visual presentation, with weight determined by the strength of the P3 that face generated. A demo of the system developed in this project can be seen here: https://www.cs.kent.ac.uk/people/staff/hb5/EEGFIT_prototype_demo_cut.mp4 The Research Associate will be employed on a recently awarded EPSRC Impact Acceleration account at the University of Birmingham, which, with Visionmetric, will improve the efficiency with which P3s are detected with machine learning and will also explore alternative detection modalities, such as pupil dilation. The position is for one year in the first instance, but with the possibility of follow-on funding. Direct enquiries to the Principal Investigator, Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk>). Professor Howard Bowman (Psychology, University of Birmingham; Computing, University of Kent and Wellcome Centre for Human Neuroimaging, UCL [honorary]). To apply for this job, search for it on the following site, https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… Alsufyani, A., Hajilou, O., Zoumpoulaki, A., Filetti, M., Alsufyani, H., Solomon, C. J., ... & Bowman, H. (2019). Breakthrough percepts of famous faces. Psychophysiology, 56(1). Avilés, A., Bowman, H., & Wyble, B. (2020). On the limits of evidence accumulation of the preconscious percept. Cognition, 195, 104080. Bowman, H., & Avilés, A. (2022). No Subliminal Memory for Spaced Repeated Images in Rapid-Serial-Visual-Presentation Streams. Psychological Science, 33(11), 1959-1965. Bowman, H., Filetti, M., Janssen, D., Su, L., Alsufyani, A., & Wyble, B. (2013). Subliminal salience search illustrated: EEG identity and deception detection on the fringe of awareness. PLoS One, 8(1). Bowman, H., Filetti, M., Alsufyani, A., Janssen, D., & Su, L. (2014). Countering countermeasures: Detecting identity lies by detecting conscious breakthrough. PloS one, 9(3), e90595. Bowman, H., & Wyble, B. (2007). The simultaneous type, serial token model of temporal attention and working memory. Psychological review, 114(1), 38. Harris, K., Miller, C., Jose, B., Beech, A., Woodhams, J., & Bowman, H. (2021). Breakthrough percepts of online identity: Detecting recognition of email addresses on the fringe of awareness. European Journal of Neuroscience, 53(3), 895-901. -------------------------------------------- Professor Howard Bowman (PhD) Professor of Cognition & Logic in Computing at Uni Kent, and Professor of Cognitive Neuroscience in Psychology at Uni Birmingham (honorary at Wellcome Centre for Human Neuroimaging, University College London) Centre for Cognitive Neuroscience and Cognitive Systems and the School of Computing, University of Kent at Canterbury, Canterbury, Kent, CT2 7NF, UK email: H.Bowman(a)kent.ac.uk<mailto:H.Bowman@kent.ac.uk> WWW: http://www.cs.kent.ac.uk/people/staff/hb5/ School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

Feb. 23, 2023

Open rank faculty positions at the intersection of biological and artificial intelligence at Indiana University

by Zoran Tiganj

The Luddy School of Informatics, Computing, and Engineering (SICE), the Department of Psychological & Brain Sciences (PBS), and the School of Optometry (IUSO) at Indiana University (IU) Bloomington invite applications for two faculty positions to begin on August 1, 2023. We seek applicants working at the intersection of biological and artificial intelligence, with a focus on reverse engineering the computational foundations of biological intelligence using tools from machine learning and artificial intelligence. The positions are part of a new initiative—Reverse Engineering the Foundations of Intelligence—that aims to transform our understanding of human and animal intelligence. IU has long been an international leader in discussions of how brains, bodies, and environments contribute to intelligent behavior. This initiative is designed to build on these strengths and propel IU to the forefront of research at the interaction of biological and artificial intelligence. The positions are open at the full and associate professor levels, but exceptional candidates at the assistant professor level or in industry may be considered. We seek dynamic individuals with an international reputation and experience working in rapidly expanding & intellectually diverse interdisciplinary areas. We also seek individuals who excel working in team environments and whose research, teaching, and service will contribute to IU’s commitment to diversity, equity, and inclusion. Minimum Qualifications: A PhD in psychology, neuroscience, cognitive science, computer science, or a related field, and a distinguished record of scholarship, teaching, and professional experience appropriate for a tenured professorship at IU Bloomington. Applications received by March 2, 2023 will receive full consideration; however, the search will remain open until suitable candidates are found. Review of applications will begin immediately and continue until the positions are filled. Candidates should review application requirements, learn more about SICE, PBS, IUSO, and employee benefits, and apply online at: https://indiana.peopleadmin.com/postings/16752 Questions, nominations, and confidential inquiries may be sent to Justin Wood (woodjn(a)indiana.edu) or Rowan Candy (rcandy(a)indiana.edu) Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Before a conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate’s eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.

Feb. 22, 2023

Postdoctoral opportunity in Janssen Pharmaceuticals

by Rouhollah Abdollahi

We have a great opportunity for postdoctoral position in our team in Janssen pharmaceuticals, companies of Johnson & Johnson, working on neuroimaging projects. The location of the candidate should be Europe or USA, but remote option also can be arranged. https://jobs.jnj.com/en/jobs/2306106495w/post-doctoral-scientist-data-scien… -- Sent from Gmail Mobile

Feb. 21, 2023

Software Highlight: Kay Robbins: HED (Hierarchical Event Descriptors)

by Ankur Sinha

Dear all, Apologies for the cross-posts. Please join the INCF/OCNS Software Working Group for our next Software Highlight session: Kay Robbins[0] will introduce and discuss HED, a practical system for describing an experiment using an analysis-ready framework. https://ocns.github.io/SoftwareWG/2023/02/17/software-highlight-kay-robbins… - Date: February 28, 2023, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]). - Zoom (link): https://ucl.zoom.us/j/99321986413?pwd=OUdFTlJ3NVloUmJ1U0Q3WE9vRERMZz09 The abstract for the talk is below: In human neuroimaging experiments, a record of what a participant experiences together with a clear understanding of the participant (task) intent are key to interpreting recorded brain dynamics. HED (Hierarchical Event Descriptors, https://www.hedtags.org) annotations and supporting infrastructure can provide human-understandable machine-actionable descriptions of events experienced during laboratory and/or real-world time series recordings. HED, which is well-integrated into BIDS (Brain Imaging Data Structure) has an ecosystem of tools supporting researchers at various stages including data acquisition, annotation, sharing, and analysis. This talk will describe HED principles, focusing on basic representations of an experiment and its design. Various tools in the HED ecosystem to support search, summary and analysis will be introduced and demonstrated. Finally, we’ll discuss how tool developers can leverage the HED infrastructure to build advanced analysis tools capable of automated analysis in support of machine learning. HED is an entirely open-source project, and the HED Working Group welcomes contributors and contributions. Papers and resources: - Capturing the nature of events and event context using Hierarchical Event Descriptors (HED). NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811921010387 - Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED). Neuroinformatics. https://link.springer.com/article/10.1007/s12021-021-09537-4 - Resources: https://www.hed-resources.org - GitHub organization: https://github.com/hed-standard [0] https://www.utsa.edu/sciences/computer-science/faculty/KayRobbins.html [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highligh… [2] https://ocns.github.io/SoftwareWG/extras/ics/20230228-kay-robbins-hed.ics On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

Feb. 21, 2023

PhD position in System Neuroscience

by Shahidi, Neda

Dear all, I have a new Ph.D. position in System Neuroscience at the University of Göttingen and the German Primate Center in Göttingen. We will use a new paradigm in studying neural correlates of decision-making in monkeys: The animals in our study will make decisions that are more natural to them, less repetitive, and require less training. Also, we will use chronic electrophysiology enabling us to simultaneously probe many neurons using a technology that is more or less plug-and-play. That means less animal training and less neuron-fishing. However, because there is nothing like a free lunch, this comes with a cost: Analyzing the data will be way more complicated, compared to a classical experiment! Therefore, the ideal candidate is proficient in data analysis and coding, but also enthusiastic to work with monkeys (Do you enjoy teaching your dog a trick or two? then you will also enjoy working with our monkeys). Please find more information here: https://www.uni-goettingen.de/en/644546.html?filters={%22vollzeit%22:[],%22…<https://www.uni-goettingen.de/en/644546.html?filters=%7B%22vollzeit%22:%5B%…> and please feel free to spread the word. Kind Regards Neda

Feb. 21, 2023

MBL Methods in Computational Neuroscience Course

by Stephen A. Baccus

Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 26 to August 23, 2023. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 31*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. 2023 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2023 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Nicolas Brunel, Duke University Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Marlene Cohen, U. of Pittsburgh Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University John Murray, Yale University Srdjan Ostojic, ENS - PSL Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Sebastian Seung, Princeton University Reza Shadmehr, Johns Hopkins Univ. Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Nao Uchida, Harvard University Byron Yu, Carnegie Mellon University Greg Wayne, DeepMind

Feb. 20, 2023

Postdoc position in bio-inspired AI at University of Sussex

by Thomas Nowotny

Dear colleagues, We are looking for a post-doctoral research fellow to join our Sussex team working on bio-inspired AI and computational modelling of insect behaviour and learning. You will join a BBSRC funded project called “Emergent embodied cognition in shallow neural networks”. https://www.sussex.ac.uk/about/jobs/research-fellow-ref-10735 Your primary role will be to develop simulations of learning problems that insects face such as flower learning or navigation. Insect learning occurs rapidly within shallow neural networks. This is possible because learning is an active process emerging from the interaction of evolved brains, sensory systems and behaviours. We will explore how behavioural strategies and specialised sensors interact with learning success. You will work under the supervision of Prof Paul Graham (Sussex, School of Life Sciences) and Professors Andrew Philippides and Thomas Nowotny (Sussex, Department of Informatics). You will join an active team of research fellows and PhD students working on similar topics. Closing date: 09 March 2023. Applications must be received by midnight (UK) Expected interview date: to be confirmed Expected start date: early April 2023 Please contact Prof Paul Graham, p.r.graham(a)sussex.ac.uk, for informal enquiries. With regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> [../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny] I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

Feb. 20, 2023

Fast Lane to Slow Science – Online panel discussion to celebrate International Women's Month – 20 March 2023, 13h GMT / 14h CET

by Sidarus, Nura

Hi, Can you please advertise the following event. Thank you in advance, Nura Sidarus. Fast Lane to Slow Science Online panel discussion to celebrate International Women's Month Monday, 20th March 2023 – 13h GMT / 14h CET You are warmly invited to join us in celebrating International Women's Month with an online panel discussion on "Fast Lane to Slow Science". If "fast science is bad for scientists and bad for science" (Frith, TiCS, 2019), how can we move towards a Slow Science? What are the implications for the evaluation of science and scientists? And for equity and diversity? Join our panel of world leading scientists, who have been shaping science, science evaluation and science policy in Europe, to discuss these questions and more: * Professor Dame Uta Frith, Institute of Cognitive Neuroscience, University College London, UK. Author of "Fast Lane to Slow Science<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cell.…>" (TiCS, 2019). * Professor Sylvie Lorente, College of Engineering, Villanova University, USA. Member of the ERC Scientific Council. * Professor Toma Susi, Faculty of Physics, University of Vienna, Austria. Member of the Steering Board of the Coalition for Advancing Research Assessment. Details and registration: https://www.eventbrite.co.uk/e/womens-month-celebration-panel-discussion-on…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.event…> Organised and chaired by Dr Nura Sidarus, Royal Holloway University of London, and facilitated by Dr María Jesús Maraver, University of Granada. Conceived by Women in Cognitive Science - Europe<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…> & supported by Department of Psychology, Royal Holloway, University of London<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.faceb…>. This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

Feb. 20, 2023

3rd International Workshop On Neurodynamics (NDy’23) June 14-17, 2023 Castro-Urdiales, Spain

by bgutkin

> 3rd International Workshop On Neurodynamics (NDy’23) > June 14-17, 2023 > Castro-Urdiales, Spain > > http://cody.unizar.es/events/neurodynamics23/ <http://cody.unizar.es/events/neurodynamics23/> > > *** Scientific committee *** > Roberto Barrio, Universidad de Zaragoza, Spain. > Stephen Coombes, University of Nottingham, UK. > Boris Gutkin, Ecole Normale Superieure, Paris. France. > Santiago Ibañez, Universidad de Oviedo, Spain. > Valeri Makarov, Universidad Complutense de Madrid, Spain. > Krasimira Tsaneva-Atanasova, University of Exeter, UK. > > Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. > > The aim of this Third Workshop on Neurodynamics, NDy’23 (first edition and second were NDy’14 and NDy'18) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,…) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,…). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy’23. > > Important dates: > Short abstract/Title submission deadline 31st March 2023 > Payment deadline (reduced fee, 240 Euros) 14th April 2023 > Payment deadline (complete fee, 290 Euros) 5 th May 2023 > ******************************** > > > > >

Feb. 20, 2023

Postdoc position in Computational Biophysics at Göttingen Campus Institute for Dynamics of Biological Networks

by von Behren, Christina

Dear Scientists, We would like to draw your attention to the postdoc opportunity below. The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/en/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology". We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references by March 19, 2023 to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). Georg-August-Universität Göttingen, Göttingen Campus Institute for Dynamics of Biological Networks, Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany

Feb. 20, 2023

[CFP, Deadline: March 15] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs

by Murat Kuşcu

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative nanonetworks of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 15 March 2023 First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

Feb. 17, 2023

Registration open for ENCODS 2023

by Delamare, Geoffroy

Dear fellow students, This year the ENCODS conference will take place again! ENCODS 2023 Faro, Portugal, on 01-02 May 2023! The European Neuroscience Conference by Doctoral Students (ENCODS) is organised by PhD students for PhD students. During the two days you have the opportunity to present your current work in the form of a poster or talk to an international audience. This year's theme is "Labcoats and Laptops: Neuroscience through different lenses", and we're aiming to bring together different disciplines of neuroscience and how we can all work together. In which area of neuroscience do you work? We are sure that your work is a great match for our topic and will contribute to an exciting and interesting dialogue. Here are the important facts: The registration fee is 100 € for FENS members and students at the University of Algarve and 120 € for non-FENS members. Food is provided, we have organised a catering service for you. We are also happy to help you find suitable accommodation and organise a bus transport from the city centre to the venue. University of Algarve: Gambelas Campus Faro, Portugal Registration ends on the 3rd of March!! Register here: https://www.fens.org/news-activities/fens-and-societies-calendar/training-e… https://www.fens.org/careers/networks/encods 17th of March 2023: Arrival of the acceptance letters 31st of March 2023: Deadline to pay the registration fees Follow us across our social media platforms using this link: https://linktr.ee/encods2023 We are very much looking forward to seeing you at ENCODS!!! Your ENCODS 2023 Organizing Committee

Feb. 17, 2023

2 PhD positions in Computational Neuroscience at INRIA, Lyon, France, starting on September 2023

by Hugues Berry

Dear all, 2 PhD positions in computational neuroscience are available in the AIstroSight team, INRIA, Lyon, France (https://team.inria.fr/aistrosight/) starting on September 2023. Our interdisciplinary team aims at developing innovative numerical methods for the search of new drug candidates to treat brain diseases, targeting neurons as well as glial cells. We value diversity, trust, growth, equity and creativity. - Project 1: Modeling compartmentalized second messenger networks in the retinal growth cones. This project is part of an ANR grant, in collaboration with Xavier Nicol's lab in Paris: http://xaviernicol.toile-libre.org/ - Project 2: Modeling the neurovascular unit. This project will consist in developing a mechanistic model of astrocytic endfeet in the context of neurovascular coupling. The project will be carried out in strong collaboration with neuroscientists working on endfeet. The students will be co-supervised by Dr. Audrey Denizot (https://adenizot.github.io/) and Dr. Hugues Berry (https://www.inrialpes.fr/Berry/) We are looking for students who have some experience in programming/mathematical modeling and previous expertise or interest in cell biology/neuroscience. The students must be fluent in English, both speaking and writing. No knowledge of French is required. Most importantly, we are looking for future colleagues who are eager to learn and grow, and who are driven by scientific curiosity. Please reach out to audrey.denizot(a)inria.fr or hugues.berry(a)inria.fr with a one-page statement presenting your interests and goals as well as a CV. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology — Project-Team AIstroSight -- https://team.inria.fr/aistrosight Inria-Université Claude Bernard Lyon 1 Hospices Civils de Lyon-Theranexus Inria Lyon research center Batiment CEI-2 56 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France Tel. (Office): +33 (0)4 72 43 75 01 Tel. (Mobile): + 33 (0)6 70 77 63 39 www.inrialpes.fr/Berry

Feb. 16, 2023

Funded PhD Scholarship in Developmental Neurorobotics at Sheffield Hallam University (UK)

by Di Nuovo, Alessandro

About the Project This scholarship will support the PhD candidate to carry out frontier research in Developmental Neurorobotics, a combination of Neuromorphic Computing and Cognitive Developmental Robotics. The PhD candidate will work with the Professor Alessandro Di Nuovo and his team, who have been awarded funding by the EPSRC for his research in the field. We are looking for an outstanding student to work with the team of a new EPSRC project. The research will pioneer the new developmental neuromorphic paradigm, which will be a synergic combination that will go beyond the limitations of the individual paradigms: neuromorphic computing will provide efficient brain-like resources able to process a more accurate representation of the real world, meanwhile developmental robotics will deliver the missing learning mechanisms for complex applications of neuromorphic spiking neural networks. The short-term objective is to demonstrate feasibility and lay the foundation of a biologically plausible framework to simulate the human-like learning process of numerical and abstract cognition, a fundamental characteristic of human intelligence. The team long-term goal is to create an artificial mind for robots that 'grows up' like a child's brain. This will be underpinned by neuromorphic computing which emulates the deep-lying architecture of the brain and will allow it to interpret and adapt to situations. As well as enabling the creation of robots with a human-like ability to reason, behave and interact the creation of an artificial mind will boost research in life sciences disciplines such as neuroscience by allowing researchers to run biologically realistic simulations to test theories. By simulating information on the inner workings of the brain that could not otherwise be detected, it could enhance our understanding of neurodevelopmental and learning disorders and lead to new treatments. Eligibility Information on entry requirements can be found here<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> The ideal candidate should have a Masters degree in Neuromorphic Computing, Computational Neuroscience, Machine Learning, or closely related disciplines in AI and Robotics, excellent programming skills and experience in interdisciplinary research. How to apply Your application should be emailed to industry-innovation-admissions(a)shu.ac.uk<javascript:void(0)> Any interested candidates must contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. The application should explain how the candidate knowledge, skills and experience are relevant to the project short and long-term objectives. For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> ________________________________ Funding Notes The PhD studentship provides tuition fees at UK level and a maintenance bursary at the UK Research Councils' national minimum doctoral stipend rate (£17,668 for 2022/23). The scholarship is available for three years of full-time. ________________________________ References Di Nuovo, A., McClelland (2019). Developing the knowledge of number digits in a child-like robot. Nature Machine Intelligence, 1(12), 594-605. Di Nuovo, A., & Jay, T. (2019). Development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. Cognitive Computation and Systems, 1(1), 2-11. Di Nuovo, A., & Cangelosi, A. (2021). Abstract Concept Learning in Cognitive Robots. Current Robotics Reports, 2(1), 1-8. Roy, Jaiswal, Panda, (2019). Towards spike-based machine intelligence with neuromorphic computing. Nature, 575(7784), 607-617. Krichmar (2018). Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers in Neurorobotics, Vol. 12, p. 42. Furber (2016). Large-scale neuromorphic computing systems. Journal of Neural Engineering, 13(5), 51001. Sengupta, et al. (2019). Going deeper in spiking neural networks: VGG and residual architectures. Frontiers in Neuroscience, 13, 95. Quax, D'Asaro,van Gerven, (2020). Adaptive time scales in recurrent neural networks. Scientific Reports, 10(1), 11360.

Feb. 16, 2023

Generative Episodic Memory conference - deadline for abstracts

by Vinita Samarasinghe

The deadline to submit abstracts for GEM 2023 - Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy - is fast approaching. The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for abstracts for its biennial conference *GEM 2023* (Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy), which will be held *in person*at the Ruhr University Bochum, Germany from 12^th to 14^th June 2023. For more information on the conference please visit https://for2812.rub.de/gem2023. *Keynote speakers: * * Ali Boyle (LSE) * Felipe De Brigard (Duke U.) * Christian Leibold (U. Freiburg) * Kenneth Norman (Princeton U.) * Peggy St. Jacques (U. Alberta) * Maria Wimber (U. Glasgow) We invite submissions for symposia, talks and posters. *Please note that all presentations are in person.* *Funding for early career researchers is available *(visit https://for2812.rub.de/gem2023/early_career_researcher_program for more details). Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Abstract* submission deadlines [GMT +1 (CET)]: Abstract submission – 15.03.2023 Notification of acceptance – 15.04.2023 Submission guidelines: Abstracts mustbe submitted in English and be no longer than 500 words.Submitted work must be original and unpublished andsubmitted electronically athttps://www.conftool.net/gem2023/. Types of submissions: * Talks * Symposia: In addition to submitting individual talks there is also the option to submit a set of talks (henceforth called symposium). Symposiamust be interdisciplinary in nature, i.e., they must contain talks from at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience, and must comprise 3 talks. Please note that if one or more of the talks that make up the symposium are rejected the remainingtalks are not automatically rejected. They will be scheduled into the general program by the program committee. * Posters Please ensure that your files are in PDF format and are no larger than 10 MB. We look forward to welcoming you in Bochum. Vinita Samarasinghe Coordinator -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Feb. 16, 2023

Neuroscience PhD position at Newcastle, UK

by Andrej Bicanski

Dear Colleagues, Please circulate this to any students that may be interested in a neuroscience PhD project based in Newcastle University (UK), co-supervised by Dr. Quoc Vuong and myself. The Topic: We will explore the cross-domain function of the medial temporal lobe with fully immersive virtual reality and with eye-tracking, using new behavioural paradigms and fMRI. We may also incorporate some modelling. Funding: Funded for 3 years and international students are welcome to apply. Deadline: 2nd of March Link with more information: https://www.findaphd.com/phds/project/exploring-the-cross-domain-function-o… Happy to receive informal inquiries prior to application. Best wishes, Andrej Dr Andrej Bicanski School of Psychology & Biosciences Institute Faculty of Medical Sciences Newcastle University www.andrejbicanski.com

Feb. 15, 2023

Special Issue: Machine Learning in Neuroimaging for Psychiatry

by Rogene Eichler West

Dear Colleagues, The journal Clinical EEG and Neuroscience is soliciting papers for a special issue on Machine Learning in Neuroimaging for Psychiatry. We especially encourage papers on the development or selection of medications for the treatment of mental health issues. Preference will be given to submissions where the authors include clinicians, rather than a team comprised entirely of data scientists. https://us.sagepub.com/en-us/nam/journal/clinical-eeg-and-neuroscience May1 First draft due July 1 Reviews done. Each invited author reviews 2 other invited submissions as this will be a collegial process. Oct 1 Revisions due The curation will be through guest editors of this issue [Martijn Arns, Sebastian Olbrich, and myself] rather than through the journal’s normal submission portal. Please contact me with any questions or potential submission ideas. We look forward to hearing from you. ____________________________________________ Rogene M. Eichler West, PhD, QEEGD Diplomate in Quantitative Electroencephalography Northwest Neuro Professionals, LLC Associate Editor, Sage Publishing Clinical EEG and Neuroscience Senior Research Scientist in Cognitive and Behavioral Modeling Pacific Northwest National Laboratory

Feb. 13, 2023

Call for paper: Biological and Digital Markers in Sleep, Circadian Rhythm, and Epilepsy using Artificial Intelligence

by Sun Haoqi

Dear Comp-neuro mailing list members, We invite you to submit your work to Frontiers in Physiology: Biological and Digital Markers in Sleep, Circadian Rhythm, and Epilepsy using Artificial Intelligence. YES - I would like to participate: Click here to Confirm participation Frontiers average article review time: 61 days from submission to final decision NO - I am unable to participate in this project: Click here to decline participation Deadline: Manuscript Submission: July 9th, 2023 Kind Regards, Haoqi Sun Topic Editor, Computational Physiology and Medicine Section, Frontiers in Physiology

Feb. 13, 2023

PhD position in Computational Modelling and Machine Learning at IT University of Copenhagen (deadline March 20th)

by Stefan Heinrich

PhD position at IT University of Copenhagen, Denmark, starting in Summer 2023. Topic: Modelling hierarchical learning of music and speech processing. How does the human brain hierarchically process music or speech? It seems the brain is dynamically adapting to the timescales in the sensation in a way that components of music, such as melodies and low base lines are processed and integrated differently. Furthermore, it seems crucial that the brain is using a statistical learning scheme, thus learning this adaptation by how frequently these components occur. Despite a number of existing neuroimaging studies and scarce attempts to suggest underlying computational principles, research for detailed models is open. We plan modelling the learning of music by studying different computational mechanisms, both, more precise and w.r.t. its functionality close to specific biological neuron models, as well as more coarse, based on general computational principles such as hierarchical network structure, decoding schemes, and distributed activation. The computational research will be conducted side-by-side with a series of empirical EEG studies to verify the validity and further specify the models. The project is part of a cross-departmental initiative between the departments of computer science and digital design aimed at investigating machine-learning-based computational models of the human mind in relation to digital media interaction. Results from this project can enable understanding human information processing better, as well as applying derived computational principles in AI and machine learning approaches of the next generation. Application details: The ideal candidate should have a Masters in Computer Science, Computational Neuroscience, Developmental Psychology, Cognitive Science or related fields, as well as a strong interest in interdisciplinary research, at the intersection of Computational Modelling and Machine Learning. The salary scale will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations for a full-time position. ITU is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The University offers an informal working environment, a varied everyday life, and a highly motivated, competent, and 160 diverse international faculty. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and a well-functioning infrastructure. The city is also among the world’s most liveable cities according to the Economist Global Liveability Index. Candidates will work together with Stefan Heinrich (stehe(a)itu.dk) and Paolo Burelli (pabu(a)itu.dk) and are encouraged to get in contact to develop the project details together. Link to apply and further application details: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Application deadline: 20 March 2023, at 23:59 CET. -- *************************** Dr. Stefan Heinrich Assistant Professor Computer Science Department IT University of Copenhagen https://stefanheinrich.net/ ***************************

Feb. 13, 2023

1ˢᵗ Advanced Scientific Programming in Python - Latin America in Mexico City, Mexico, 26 June – 1 July, 2023

by Jakob Jordan

ASPP-LatAm: 1st Advanced Scientific Programming in Python - Latin America ========================================================================= a Summer School by the ASPP faculty, the National Autonomous University of Mexico and the Secretarı́a de Educación, Ciencia, Tecnologı́a e Innovación de la Ciudad de México. https://latam.aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location ============= 26 June – 1 July, 2023. Mexico City, Mexico. Application ========= You can apply online: https://latam.aspp.school Application deadline: 23:59 UTC, Sunday March 12, 2023. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://latam.aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. We are in the process of securing some funds for supporting students with accommodation and living costs. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Tentative Faculty ================= • Aitor Morales-Gregorio, Theoretical Neuroanatomy, Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Germany. • Carlos Cernuda, Data Analysis & Cybersecurity, Faculty of Engineering, Mondragon Unibertsitatea, Bilbao, Spain. • Jakob Jordan, Department of Physiology, University of Bern, Switzerland. • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark. • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam, Germany. • Pamela Hathway, GfK, Nuremberg, Germany. • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland. • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany. • Seetha Krishnan, Department of Neurobiology and Institute for Neuroscience, University of Chicago, Chicago, USA. • Tiziano Zito, Department of Informatics, Technische Universität Berlin, Germany. • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland. Organizers ========== Head of the organization for ASPP-LatAm and responsible for the scientific program: • Carlos Echeverria Serur, Department of Psychology, Humboldt-Universität zu Berlin, Germany Organization team in Mexico: • Cristina Muzquiz Fragoso, DGTIC, Universidad Nacional Autónoma de Mexico • Miguel Angel Villanueva Velez, DGTIC, Universidad Nacional Autonoma de Mexico • Patricia Garces Natera, DGTIC, Universidad Nacional Autonoma de Mexico Website: https://latam.aspp.school Contact: latam(a)aspp.school

Feb. 13, 2023

New data management & sharing resources on the INCF portal!

by INCF

Data sharing is on everyone’s mind right now, especially since NIH put their data managing and sharing policy into effect on January 25. At INCF, we have been working to facilitate data sharing, reuse, and reproducibility in neuroscience since our inauguration in 2005. Our current focus is on developing, evaluating, and endorsing standards and best practices that facilitate data sharing, open, FAIR, and citable neuroscience, as well as providing the community with resources and training opportunities on how to implement these standards and best practices. We have just added new FAIR resources to our portal. Here is a summary of the resources INCF offers to researchers on the fundamentals of data sharing and data management: - The FAIR roadmap <http://bit.ly/FAIRRoadmapINCF> - The INCF Standards and Best Practices Portfolio <http://bit.ly/INCFportfolioSBPs> - The INCF Infrastructure Portfolio <http://bit.ly/INCFInfraPortfolio> - The INCF Training Suite <https://bit.ly/INCFTrainingSuite> - Community <https://www.incf.org/services/community-building> & capacity <https://www.incf.org/services/capacity-building> building - FAIR consulting services <https://www.incf.org/services/fair-consulting-services> Learn more <http://bit.ly/INCFsNewResources> about these resources INCF is a member organization - an active global network of neuroscientists, data scientists, and tool developers that come together to interact and receive feedback in order to solve large and small problems around data sharing and standardization. This network is our greatest resource and it’s open for participation: we have individual and group memberships, both for academic/non-profit groups and for companies in related fields. Many of our working groups are also open to new members. Want to get involved? Contact us at info(a)incf.org! /The INCF Team

Feb. 13, 2023

Barcelona summer school for Advanced Modelling of Behavior (BAMB!), July 19-27, 2023

by Alexandre Hyafil

The Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual basis and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive, systems and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is organized by the Centre de Recerca Matemática <http://www.crm.cat>. A limited number of course fee waivers will be available. Organizers: Chris Summerfield (Oxford / Deepmind) Marion Rouault (Paris Brain Institute) Klaus Wimmer (CRM, Barcelona) Heike Stein (ENS, Paris) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Anne Collins (UC Berkeley) Elaine Corbett (UC Dublin) Maria Eckstein (Deepmind) Alex Hyafil (CRM, Barcelona) John Krakauer (John Hopkins) Marion Rouault (Paris Brain Institute) Chris Summerfield (Oxford / Deepmind) Valentin Wyart (ENS Paris) Klaus Wimmer (CRM, Barcelona) Dates and location: July 19-27, downtown Barcelona, Spain Applications are open until March 15. Please see the course website for further details: www.bambschool.org.

Feb. 13, 2023

Registration is now open for IBD 2023 - Interpretable Brain Data Workshop

by Gonzalo Uribarri

Dear all, If you're interested in exploring the latest techniques for non-invasive human brain data analysis, we cordially invite you to attend the Interpretable Brain Data Workshop 2023 (IBD 2023) in Stockholm, Sweden on June 8th and 9th. Leading researchers will showcase the state-of-the-art methods for analyzing and interpreting MRI and E/MEG data, offering insights from both theoretical and experimental perspectives. The event is *free to attend* and you can participate either *in person or virtually*. The confirmed keynote speakers for the event are: - *Prof. Gustavo Deco*, Research Professor at ICREA and Professor at the Pompeu Fabra University. - *Prof. Peter Fransson*, Karolinska Institute, Stockholm, Sweden. - *Prof. Axel Thielscher*, DTU and DRCMR, Copenhagen, Denmark. This is a unique opportunity to learn from world-renowned experts and connect with researchers from all over the world. You can find all the details, including the full schedule, speaker list, and registration link, on the official IBD 2023 webpage at https://ibd2023.carrd.co/. We look forward to seeing you there! Best regards, The IBD 2023 Organizing Committee: Gonzalo Uribarri Christoffer Olsson Andreas Gerhardson Pascal Helson

Feb. 13, 2023

Postdoctoral positions in computational neuroscience in New York - Albert Einstein College of Medicine

by Ruben Coen-Cagli

The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for postdoctoral positions in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. Our lab studies how sensory systems interpret the surrounding environment. Our goal is to reveal the strategies and algorithms used by our visual system to parse the complex, dynamic inputs received during natural vision, and to elucidate how populations of visual-cortical neurons represent and transmit visual information to support perceptual experience. We integrate theories of probabilistic neural coding, machine learning and natural image statistics, visual psychophysics, and neurophysiology through collaborations. Currently active projects include: perceptual grouping and segmentation<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1001…>, processing of natural images in the visual cortex<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1046…>, development of statistical tools to study interactions between neurons<https://reporter.nih.gov/search/-7u_GOe7Bkaedp3a-T-tDw/project-details/1048…>, and testing theories of visual processing in ASD<https://www.einsteinmed.edu/centers/iddrc/opportunities/pilot-feasability-a…>. There will be opportunities for substantial interactions with and travel to the collaborating labs. Further details about the application can be found here<https://drive.google.com/file/d/1eYeyH4Uf4aoApRBdKye4jmFR4P5vLhXN/view?usp=…> and here<https://drive.google.com/file/d/13hp-5DmnNHtRoA4hMwn7Kc0tWp_6JCwa/view>. Further details about our research can be found here<https://sites.google.com/site/rubencoencagli>. Please email ruben.coen-cagli(a)einsteinmed.edu for any questions about the positions. The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. Ruben Coen Cagli, PhD Associate Professor Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

Feb. 10, 2023

Transylvanian Experimental Neuroscience Summer School (TENSS 2023)

by Tomas Hromadka

Dear colleagues, Please find below an announcement about the 11th edition of the Transylvanian Experimental Neuroscience Summer School (TENSS 2023). We would be very grateful if you forwarded this announcement to potentially interested people. We have started a worldwide initiative to train young brain researchers, from both developed and less developed countries, in understanding and using the most advanced tools in brain research today. We do this in an idyllic location, without any pre-existing infrastructure, where students and instructors alike enjoy the adventure, work hard, and build sophisticated research labs from scratch. The main objective of TENSS is to provide participants top-level, hands-on training in experimental techniques used in neuroscience, from optical, electrophysiological, and behavioural methods to advanced data analysis and machine learning. The philosophy of the school is learning by doing and while doing so, openly sharing ideas and expertise. This is TENSS, the Transylvanian Experimental Neuroscience Summer School: June 1-21, 2023, Pike Lake, Transylvania, Romania – https://tenss.ro/. • 3 weeks of 24/7 hands-on practical and theoretical courses in building, debugging, using and interpreting data from cutting-edge experimental methods in modern neuroscience. • A select group of the best 12-14 applicants: for the 2022 edition, top 14 were selected from an excellent pool of more than 100 applicants from all over the world. • A wide collection of experts: ~29 lecturers and 16 dedicated teaching assistants from brain research institutes in the USA, UK, Germany, France, Poland, Romania, India, Switzerland, Portugal, Hungary, and Slovakia. • A knowledge base of Open-Source solutions to complex problems in brain research. Coursework will take place in a land of myth and legend, beyond large forests (Transylvania), on the shores of a picturesque natural reserve called Pike Lake. Applications are welcome from interested (and interesting) graduate students and postdocs. Please note that there is a significant number of fee waivers and travel support grants available for supporting our applicants. Application deadline – March 5th, 2023 Notification of acceptance – April, 2023 Summer School – June 1-21st, 2023 Invited lecturers (tentative): Athena Akrami – Sainsbury Wellcome Centre, UCL, UK Upinder Bhalla – National Centre for Biological Sciences, India Federico Carnevale – DeepMind Technologies, London, UK Ann Clemens – University of Edinburgh, UK Ashesh Dhawale – Centre for Neuroscience, IISc Bangalore, India Michael Dickinson – California Institute of Technology, USA Florian Engert – Harvard University, USA Nadine Gogolla – Max Planck Institute of Psychiatry, Germany Sonja Hofer – Sainsbury Wellcome Centre, UCL, UK Helen Xun Hou – Cold Spring Harbor Laboratory, USA Tomáš Hromádka – Slovak Academy of Sciences, Slovakia Benjamin Judkewitz – Einstein Center for Neuroscience, Germany Georg Keller – Friedrich Miescher Institute, Switzerland Emilie Mace – Max Planck Institute of Neurobiology, Germany Eve Marder – Brandeis Unversity, USA Hannah Monyer – University of Heidelberg, Germany Tom Mrsic-Flögel – Sainsbury Wellcome Centre, UCL, UK Bence Ölveczky – Harvard University, USA Ruben Portugues – Max Planck Institute of Neurobiology, Germany Tobias Rose – University of Bonn, Germany Wolf Singer – Ernst Strüngmann Institute, Germany Daniela Vallentin – Max-Planck-Institute for Ornithology, Germany Jakob Voigts – HHMI, Janelia Research Campus, USA Chris Xu – Cornell University, USA Petr Znamenskiy – Francis Crick Institute, UK Tony Zador – Cold Spring Harbor Laboratory, USA Teaching Assistants & Organizing Team: Harald Bârzan Antonin Blot Rob Campbell Andrei Ciuparu Loredana Dan Medorian Gheorghiu Matías Goldin Priyanka Gupta Yiran He Ana Maria Ichim Mitra Javadzadeh Mateusz Kostecki Fred Marbach Vasile V. Moca Adriana Nagy-Dăbâcan Jon Newman Cosmina Pavel Bruno Pichler Laura Rus Nacho Sanguinetti Pavithraa Seenivasan Iuliu Vasilescu Anqi Zhang Best regards, TENSS Organizing Committee contact [at] tenss.ro

Feb. 9, 2023

Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University

by Dr Jana Schaich Borg, Ph.D.

Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University Our group has an opening for a postdoctoral position in the Social Science Research Institute, Duke Institute for Brain Sciences, and Department of Mathematics at Duke University. The focus of the postdoc position is on developing novel interpretable algorithms for identifying social interaction motifs and their typical temporal and hierarchical relationships during natural interactions. The methodological tools developed will first be applied to a highly novel dataset of human social interaction videos with associated behavioral and clinical outcomes. The methods will then be applied to the lab's datasets involving human MRI data during social decisions, human physiological and EEG data during social interactions, videos of rodent social interactions, or rodent LFP data during social interactions, depending on the applicants' primary interests and background. This is highly interdisciplinary position and line of research, so successful applicants may come from a variety of fields, including (but not limited to) neuroscience, cognitive science, mathematics, computer science, electrical engineering, biomedical engineering, and (bio)statistics. However, all applicants should have excellent coding skills, extensive experience with data analysis, and at least some experience with statistical modeling and prediction. Experience with image processing is ideal, but not required. Applicants who want to use the postdoc to deepen or broaden their existing skill sets, applications, or domain knowledge are welcomed. Neuroscientists who want mentorship in mathematical theory or engineers/mathematicians/statisticians who want mentorship in how to apply their skills to an exciting and dynamic field with theoretical, clinical, and commercial implications are particularly encouraged. The applicant will be co-mentored in neuroscience, social behavior theory, mathematical theory development, applied analysis, and job placement by Dr. Schaich Borg (Duke Institute for Brain Science, Social Science Research Institute) and Dr. Hau-Tieng Wu (Departments of Mathematics and Statistics). Timeline: The postdoc could start immediately, but later start dates are also available for appropriate candidates. Teaching: The position does not require any teaching, but teaching opportunities and teaching mentorship are available if the candidate is interested. Contact: Interested applicants should contact Dr. Schaich Borg (js524(a)duke.edu) through email, and include a CV, statement of research interests, and names of three referees that can provide letters of recommendation in the future, if needed. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Feb. 9, 2023

Call for Abstracts: 32st Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023

by Rubchinsky, Leonid L

Dear Colleagues, We are inviting abstracts for the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. The main meeting begins the evening of Saturday, July 15 and runs through Tuesday, July 18. It will be preceded by a day of tutorials (Saturday, July 15) and followed by workshops (Tuesday, July 18 mixed with the main meeting and Wednesday, July 19 workshops only). Registration and abstract submission are opened now. Abstract submission deadline: March 20, 2023. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply during the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission for main meeting: https://www.cnsorg.org/cns-2023-abstract-submission For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2023 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2023-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2023-call-for-tutorials With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

Feb. 6, 2023

Applications for 2023-24 entry OPEN:: MSc in Intelligent Vision, University of Lincoln (Lincoln, UK)

by Vassilis Cutsuridis

********************************************************************************** The MSc in INTELLIGENT VISION at the University of Lincoln (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2023-24 ENTRY. Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. This cutting-edge Masters course builds on the multi-disciplinary and strong research profiles of our staff. It equips students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global AI Vision industry providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. HOW TO APPLY ============= Download the online application from the following link and fill out all relevant information: https://www.lincoln.ac.uk/media/responsive2017/studywithus/postgraduatestud… Then click on the following link: https://uol.t1cloud.com/T1Default/CiAnywhere/Web/UOL/StudentCore/StudentApp… and follow the instructions. COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (105 credits) plus a seminar based course (15 credits) and a research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core modules of this course include: (a) Advanced artificial intelligence (theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents) (b) Advanced machine learning (theoretical fundamentals and practical application of supervised, unsupervised, reinforcement and evolutionary learning) (c) Computer Vision (applications of computer vision in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems) (d) Neural Computing (fundamentals of an emergent specialised area of computer science that is concerned to describe how the brain computes by simplifying neuronal biology to a set of equations) (e) Big Data Analytics and Modelling (a range of aspects in collecting, transforming, processing, analysing and make inferences out of large amounts of data, which can either be signals or visual data) (f) Applied signal and image processing (a range of aspects in capturing, processing, analysing and interpreting n-dimensional signal and image content) (g) Research methods (fundamental skills and background knowledge students need to undertake a research project including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations) (h) Frontiers in machine learning and computer vision (a seminar based module about the state of the art in machine learning and computer vision research, including an understanding of the theoretical developments and current applications in the field) (i) Research project The final research project can be carried out ‘in house’ or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://www.lincoln.ac.uk/course/intvisms/ under "Student Project Work" LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Greece, Germany, Spain, China, and US. Carrying out your final project in collaboration with one of our industry partners or securing a placement with them after completion of your degree will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.lincoln.ac.uk/studywithus/postgraduatestudy/feesandfunding/ Here is what our alumni have to say about this course: https://www.lincoln.ac.uk/course/intvisms/ For any other specific questions, please do not hesitate to get in touch. Kind regards, Vassilis Cutsuridis -- Programme Leader, MSc in Intelligent Vision Senior Lecturer School of Computer Science University of Lincoln Brayford Pool Lincoln LN6 7TS, UK https://staff.lincoln.ac.uk/vcutsuridis ******************************************************************************

Feb. 6, 2023

[EEG] PhD / Research Assistant position at University of Coimbra, Portugal

by maritametzler＠posteo.de

We are searching for a PhD candidate working on human-robot collaboration. Please have a look into the description below and in case of interest contact Art Pilacinski (art.pilacinski(a)gmail.com) or Sergi Bermudez I Badia (sergi.bermudez.badia(a)gmail.com) Best, Marita ---------- Forwarded message --------- From: Art Pilacinski <art.pilacinski(a)gmail.com> Date: Mon, Feb 6, 2023 at 1:05 PM Subject: [EEG] PhD / Research Assistant position at University of Coimbra, Portugal To: <spm(a)jiscmail.ac.uk> Cc: Sergi Bermudez i Badia <sergi.bermudez.badia(a)gmail.com> Hi everyone, We are searching for an enthusiastic candidate to work on a cool project using human biomarkers (EEG, eye tracking, EMG) and virtual reality to advance collaborative robotics. The project will take part at University of Coimbra and at University of Madeira, with collaborations in Germany and Spain. The position is initially for 3 years but multiple extension options are available. See more details here: https://proactionlab.fpce.uc.pt/en/news-entry/we-are-hiring- Please, feel free to forward this ad to whoever might be interested. Thanks, Art -- Art Pilacinski Researcher | Inv. Assist. Professor Klaes Lab | Proaction Lab Ruhr-University Bochum | University of Coimbra Bochum, Germany | Coimbra, Portugal klaeslab.de | proactionlab.fpce.uc.pt

Feb. 6, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Modellers Workshop for the Brain Dynamics Toolbox This online course is for researchers who wish to simulate user-defined dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<http://bdtoolbox.org>). The toolbox allows the dynamics of any model to be explored interactively with minimal programming effort. Video lectures guide the student through every step of the process with a practical focus on the art of programming differential equations. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close Sun 12th Feb 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

Feb. 4, 2023

Postdoc at University of Magdeburg, Germany

by Quian Quiroga, Rodrigo (Prof.)

The University of Magdeburg offers a 3-years postdoc position to study single cell recordings in humans, performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. The candidate should be able to work both independently and as part of a research team. The candidate will be primarily based at the Department of Neurology in Magdeburg (http://www.kneu.ovgu.de) and will work in close collaboration with the Leibniz Institute for Neurobiology (https://www.lin-magdeburg.org) and the Neurodegenerative Diseases Research Centre (https://www.dzne.de/en/) at the University of Magdeburg, and with the recently established group of Rodrigo Quian Quiroga at the IMIM (https://www.imim.cat) in Barcelona. The position is initially offered for 3 years, with the possibility of further extensions according to performance. Salary will be competitive, based on DFG (German Research Council guidelines for Postdocs), depending on experience. Informal enquiries are welcome and should be made to Prof. Catherine Sweeney-Reed: catherine.sweeney-reed(a)med.ovgu.de. To apply, please send a curriculum vitae and a brief description of scientific interests to Mrs. Birgit Boehme at birgit.boehme(a)med.ovgu.de. The closing date for the applications is 24th February 2023. Start date will be in April 2023 or shortly thereafter. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester http://le.ac.uk/csn

Feb. 3, 2023

Cognitive Neuroscience Research Assistant position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for a cognitive neuroscience research assistant. This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling, administering, and scoring neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. Please note many sessions with research participants will take place on the weekends, and occasionally in the evenings. A minimum commitment of two years is required. Qualifications Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic. Please email a CV, a statement of research interests and career goals, and contact information for three references to: scsnl.stanford+researchassistant(a)gmail.com.  Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:d4d98577-fb92-454f-96db-98c0a2ea4e85]

Feb. 2, 2023

Neuroimaging Data Analyst position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) in the Department of Psychiatry and Behavioral Sciences has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:43e26113-4dc3-4232-919e-9f79d26eca51]

Feb. 2, 2023

Research Fellow/Scientist position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for post-doctoral positions with expertise in cognitive, systems and computational neuroscience. Candidates must have a PhD and research experience in cognitive neuroscience, psychology, cognitive science, computer science, electrical/biomedical engineering, or related fields. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of human brain function and psychopathology. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs.  We are especially interested in talented and highly motivated individuals with expertise in at least one of these areas: cognitive neuroscience; computational psychiatry; cognitive   modeling of behavioral dynamics; computational and statistical analysis of brain imaging and electrophysiological data, including dynamic brain circuit analysis, statistical  modeling and Bayesian inference, machine learning, and deep neural networks.  Please email your CV and a statement of research interests, explaining how your skills and past experience will advance human neuroscience research, to Prof. Menon at scsnl.stanford+postdoc(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:195fcfbe-653c-4b49-b99a-58a6df27ba2a]

Feb. 2, 2023

Call for tutorials and workshops at CNS*2023 Leipzig

by Rubchinsky, Leonid L

Dear Colleague, We are requesting proposals for workshops and tutorials at CNS*2023 from the international community of computational neuroscientists. The 32nd Annual Computational Neuroscience Meeting, CNS*2023, will be held in Leipzig, Germany, 15-19 July 2023. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2023 Meeting. This is an excellent opportunity to reach international audience of computational neuroscience researchers participating in this meeting. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org or tutorials(a)cnsorg.org as appropriate. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2023-call-for-workshops Priority Deadline for proposals: April 15 Srikanth Ramaswamy, Workshops Chair for CNS*2023 CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2023-call-for-tutorials Deadline for proposals: April 22 Maurizio De Pitta, Tutorials Chair for CNS*2023 With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

Feb. 1, 2023

Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)

by Dr Jana Schaich Borg, Ph.D.

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

Feb. 1, 2023

Postdoctoral fellowship at the Gatsby Unit

by Lin, I-Chun

The Gatsby Computational Neuroscience Unit invites applications for a postdoctoral Training Fellowship under the guidance of Professor Maneesh Sahani and Professor Jennifer Linden (UCL Ear Institute). You will focus on an investigation of the computational principles that underlie the formation of perceptual representations. The goal is to apply state-of-the-art unsupervised inferential approaches to learn models of acoustic environments, and evaluate the fidelity with which they reproduce neural recordings in the auditory cortex from animals raised in either routine or altered acoustic settings. Deadline: 28 February 2023. For detailed information on the role and how to apply, visit www.ucl.ac.uk/gatsby/vacancies About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

Jan. 31, 2023

Postdoc/Engineering position at the Cleveland Clinic in Brain-Machine Interfacing/Neural Interfacing

by Dawn Taylor

*Postdoctoral/Engineering Position in* *Brain-Machine Interfacing / Neural Interfacing* *at The Cleveland Clinic* We are seeking outstanding postdoctoral candidates and/or engineers for research in brain-machine interfacing and restoration of sensorimotor function via electrical stimulation of the nervous system. We have multiple ongoing projects applicants could get involved with spanning BMI-controlled neuroprosthetics, deep brain stimulation, peripheral nerve stimulation, and intracortical microstimulation. Our primary project is an NIH R01-funded project that is part of a larger government funded clinical trial (ReHAB: *Re*connecting the *H*and and *A*rm to the *B*rain) to restore arm function to paralyzed individuals by using their intracortical brain signals to control peripheral nerve stimulators that reanimate their paralyzed muscles. The specific focus of this five-year NIH-funded project (PIs: *Drs. Dawn Taylor* and *Bolu Ajiboye*) is to improve brain-controlled limb movements by more effectively modulating limb stiffness (i.e. degree of co-contraction of antagonist muscle) to improve limb stability while also minimizing muscle fatigue. Additionally, we have new funding for restoring proprioception via intracortical microstimulation in area 3a in animal models. We also are conducting research into improving deep brain stimulation and alternative peripheral neurostimulation therapies for Parkinson’s’ disease. Research activities include working with animal models and humans as well as neural and biomechanical simulations. Ideal candidates will have experience/familiarity in some or all of the following: intracortical recordings in animals, non-human primates and/or humans; cortical and/or peripheral nerve stimulation for restoration of movement and sensation; real-time neural signal processing; writing custom programs to control multiple pieces of hardware and control objects in a virtual environment (matlab skills preferred); computational or biomechanical modeling. An advanced degree in Biomedical Engineering, Computer Engineering, or Neurosciences is preferred but other applicants will be considered. This is a great opportunity to work with our large interdisciplinary team of researchers, engineers and clinicians to gain a wide range of skills beneficial for your future neural or rehab-related career. Interested candidates should submit their curriculum vitae to Dawn Taylor, PhD ( dawn.taylor(a)case.edu) The Cleveland Clinic is an equal opportunity employer, and we encourage applications from a diverse range of candidates. -- Dawn M. Taylor, Ph.D. Associate Staff, Dept. of Neuroscience, Cleveland Clinic Research Scientist, Cleveland VA Medical Center, Functional Electrical Stimulation Center Associate Professor of Biomedical Engineering & of Molecular Medicine, Case Western Reserve University The Cleveland Clinic Lerner Research Institute 9500 Euclid Ave. / NC30 Cleveland, OH 44195 email: dxt42(a)case.edu or taylord8(a)ccf.org Phone: (216) 636-0140 Fax: (216) 444-7927

Jan. 31, 2023

PhD or PostDoc in Computational Neuroscience - Max Planck Institute, Göttingen, Germany

by Viola Priesemann

*Unsupervised Local Learning and Efficient Coding * Our group investigates learning and self-regulation in neural and social networks. By putting both side-by-side, we carve out the principles of self-regulation in living networks. The PhD / PostDoc projects are open topic. If you are interested to understand the principles or implementation of learning in living systems in the context of *efficient coding and its implementation via (unsupervised) local learning rules,* in the context of our ongoing work (e.g. [1-5]), we welcome your application. In our group, we combine approaches from statistical physics, data science, control theory, and information theory to carve out how local, unsupervised learning shapes network function. Potential collaborations with our colleagues from theory and experiment e.g. in Göttingen, Bonn, Tübingen, or Oxford are possible and encouraged. *Deadline*: February 10, 2023 (first position) and April 30, 2023 (second position). It should not matter, which application deadline you choose. *Further Details: * https://www.viola-priesemann.de/open-positions-2/ or https://www.nature.com/naturecareers/job/two-phd-mfx-or-postdoc-positions-m… Please note also our complementary open position on self-organization in social networks. *References: *[1]Zierenberg, Wilting & Priesemann, PRX 2018 <https://journals.aps.org/prx/abstract/10.1103/PhysRevX.8.031018> [2] Mikulasch, Rudelt & Priesemann, <https://www.pnas.org/doi/full/10.1073/pnas.2021925118>PNAS 2021 <https://www.pnas.org/doi/full/10.1073/pnas.2021925118> [3] Jaehne et al., Cell Reports, 2021 <https://www.sciencedirect.com/science/article/pii/S2211124721001558> [4] Rowland et al., biorxiv, 2021 <https://www.biorxiv.org/content/10.1101/2021.12.28.474343v1.abstract> [5] Mikulasch, Rudelt, Wibral & Priesemann, TINS 2022 <https://www.sciencedirect.com/science/article/pii/S0166223622001862> -- Summer school on infodemics and pandemics:https://summerschool.infodemics.info/ Prof. Dr. Viola Priesemann Max-Planck-Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen https://priesemann-group.github.io www.viola-priesemann.de viola.priesemann(a)ds.mpg.de

Jan. 30, 2023

Konstanz School of Collective Behavior 2023

by Ahmed El Hady

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

Jan. 30, 2023

Postdoc position in Computational Neuroscience

by andrea.alamia＠cnrs.fr

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements • Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. • Ability to work independently, developing ideas and interests within the project's scope. • A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. • Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

Jan. 30, 2023

Software WG: Software Highlight: Dendrify, a framework for incorporating dendrites to spiking neural networks

by Ankur Sinha

Dear all, Apologies for the cross-posts. Please join us for the INCF/OCNS Software Working Group's next Software Highlight session: https://ocns.github.io/SoftwareWG/2023/01/27/dev-session-michalis-pagkalos-… Michalis Pagkalos will introduce and discuss Dendrify, a framework for incorporating dendrites to spiking neural networks, in this session. - Date: February 7, 1600 UTC (Click here to see your local time[1]) (Add to calendar[2]). - Zoom: https://ucl.zoom.us/j/91907842769?pwd=bnEzTU9Eem9SRmthSjJIRElFZ0xwUT09 The abstract for the talk is below: Current SNNs studies frequently ignore dendrites, the thin membranous extensions of biological neurons that receive and preprocess nearly all synaptic inputs in the brain. However, decades of experimental and theoretical research suggest that dendrites possess compelling computational capabilities that greatly influence neuronal and circuit functions. Notably, standard point-neuron networks cannot adequately capture most hallmark dendritic properties. Meanwhile, biophysically detailed neuron models can be suboptimal for practical applications due to their complexity, and high computational cost. For this reason, we introduce Dendrify, a new theoretical framework combined with an open-source Python package (compatible with Brian2) that facilitates the development of bioinspired SNNs. Dendrify allows the creation of reduced compartmental neuron models with simplified yet biologically relevant dendritic and synaptic integrative properties. Such models strike a good balance between flexibility, performance, and biological accuracy, allowing us to explore dendritic contributions to network-level functions while paving the way for developing more realistic neuromorphic systems. - Manuscript: Introducing the Dendrify framework for incorporating dendrites to spiking neural networks | Nature Communications [3] - Source code: Poirazi-Lab/dendrify: Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator [4]. - Documentation: https://dendrify.readthedocs.io/en/latest/ [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Software+Highligh… [2] https://ocns.github.io/SoftwareWG/extras/ics/20230207-dendrify.ics [3] https://www.nature.com/articles/s41467-022-35747-8 [4] https://github.com/Poirazi-Lab/dendrify Please subscribe to the working group's mailing list for reminders, more updates, and to contact us: https://ocns.github.io/SoftwareWG/pages/contact.html On behalf of the working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

Jan. 30, 2023

Rovereto workshop on Concepts, Actions and Objects (CAOs), May 4-6, 2023, Rovereto, Italy

by Moritz Wurm

Save the date After a long break imposed by the COVID emergency, we are happy to announce that the CAOs workshop will be back this spring! The 14th edition of the Rovereto workshop on Concepts, Actions and Objects (CAOs), is taking place at the Center for Mind/Brain Sciences, May 4-6, 2023, in Rovereto, Italy. As usual, we are happy to announce an exciting list of speakers: Yanchao Bi (Beijing Normal University, China) Christian Doeller (Max Planck Institute, Germany) Beth Jefferies (York University, UK) Bob Kentridge (Durham University, UK) Gilles Vannuscorps (Université Catholique de Louvain, Belgium) Gabriella Vigliocco (University College London) Melissa Võ (Goethe University Frankfurt, Germany) The goal of CAOs is to provide a unique forum for researchers from a range of perspectives who are interested in Concepts, Actions, and Objects to come together to discuss their research and develop new directions and collaborations. The workshop differs from larger conferences in so far as there are a small number of speakers (all invited) and there are no concurrent talks. In addition to the individual talks, there will be a poster session for students, post-docs and young researchers to present their work. Registration for the workshop will open soon. The CAOs workshop is sponsored by the Center for Mind/Brain Sciences, University of Trento, Italy -- Moritz Wurm, PhD Center for Mind/Brain Sciences (CIMeC), University of Trento Corso Bettini 31, 38068 Rovereto (TN), Italy moritz.wurm(a)unitn.it +39 0461-28 8632 https://sites.google.com/site/moritzfwurm

Jan. 30, 2023

Postdoc position at University of Texas Southwestern

by Brad Lega

A postdoc position is available at UT Southwestern, in Dallas, Texas, in the lab of Dr. Brad Lega. Successful candidates will join a diverse team of researchers studying human memory, including brain computer interface devices. Candidates will have the opportunity to work on one or more of the following topics: 1. Human single unit activity during memory behavior 2. Network/connectivity models of brain activity in humans 3. Brain stimulation paradigms for memory restoration. For more details, see: https://labs.utsouthwestern.edu/texas-computational-memory-lab Brad Lega UT Southwestern Dept of Neurosurgery email: bradlega(a)gmail.com

Jan. 26, 2023

Postdoc position in Cognitive and Computational Neuroscience

by Andrea Alamia

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements · Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. · Ability to work independently, developing ideas and interests within the project's scope. · A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. · Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

Jan. 26, 2023

Postdoc position in Prague

by Helmut Schmidt

A postdoc position is available at the Institute of Computer Science, Czech Academy of Sciences, under the supervision of Dr. Helmut Schmidt. The successful candidate will join a diverse team of researchers who work at the interface of neuroimaging and computational neuroscience, and will have the opportunity to work on one or more of the following topics: 1. the development of mathematical models of cortical microcircuits that are both biologically realistic and computationally efficient; 2. the integration of state-of-the-art mean field models of cortical activity into whole-brain network models, with a strong emphasis on realistic long-range axonal signal transmission; 3. the application of such models to neuroimaging data (EEG and fMRI). For more details see: https://www.cs.cas.cz/job-offer/Postdoc-positions-Schmidt3-2023/en -- Helmut Schmidt Institute of Computer Science The Czech Academy of Sciences email: schmidt(a)cs.cas.cz web: https://www.cs.cas.cz/staff/schmidt/en

Jan. 26, 2023

Postdoctoral position in Human Visual Psychophysics with fMRI/MRI in Tuebingen, Germany

by Li Zhaoping

*Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d)* *(TVöD-Bund E13, 100%)* The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html>. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. *Responsibilities:* ·Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. Coordinate with the PI and other team members for strategies and project planning Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. *Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. Publications in peer-reviewed journals Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. Highly skilled in fMRI experiments and data analysis. Experience in project management is highly desired. Strong command of English; knowledge of German is a plus. *Who we are:** *We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org <http://www.lizhaoping.org>). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. ** *Your application:* The position is available immediately and will be open until filled. Preference will be given to applications received by *March 19^th , 2023*. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application.Please use pdf files for these documents (and you may combine them into a single pdf file) and send to *jobs.li(a)tuebingen.mpg.de*, where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit https://www.lizhaoping.org/jobs.html <https://www.lizhaoping.org/jobs.html>

Jan. 25, 2023

Post Doc Position Available in ACE Lab

by clap (Service Account)

A post-doctoral position is available at the Anticipation, Cognition and Emotion lab at the University of Pittsburgh (https://www.ace.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Required Qualifications: a PhD degree in psychology, cognitive neuroscience, or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. Excellent writing skills are a must. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling, and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory in individuals with mood disorders. Responsibilities: A successful candidate will analyze clinical, behavioral, and neuroimaging data, write manuscripts, and present at conferences. This is a 1- to 2-year position. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to Anna Manelis (manelisa(a)upmc.edu<mailto:manelisa@upmc.edu>).

Jan. 25, 2023

Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany

by Susan Fischer

**Apologies for cross-posting** Dear colleagues, We are looking to hire several new postdocs in the "Developmental Computational Psychiatry" lab and the newly established W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with clinical psychiatry / psychotherapy background https://devcompsy.org/PostdocClinincalAvH2023.pdf * Postdoc with computational modelling background https://devcompsy.org/PostdocModellingAvH2023.pdf * Postdocs with experimental & neuroimaging (MEG / MRI) background https://devcompsy.org/PostdocNImgERC2023.pdf More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

Jan. 25, 2023

C-BRAINS International PhD Program in Paris, France

by bgutkin

C-BRAINS International PhD Program in Paris, France Call for applications 2023 Deadline March 3, 2023 C-BRAINS (Cognition and Brain Bevolutions: Artificial Intelligence, Neurogenomics, Society) is a major innovation and research initiative supported by the Ile-de-France Regional Council. It brings together the best of academic research in neuroscience and cognitive science in the Paris region, with more than 200 research teams spread over 17 sites (6 universities and schools of higher education, as well as laboratories affiliated to Inserm, CNRS, CEA and the Pasteur Institute) and more than 40 industrial partners. An international doctoral program is set up by C-BRAINS in 2023, offering students a unique opportunity to develop their scientific projects within the neuroscience and cognitive science research teams of the greater Paris area. The C-BRAINS international PhD program will offer 13 PhD contracts starting in October 2023 for three years, and financial packages of 5 k€ of scientific support and 7 k€ of installation bonus (12 k€ tax-free stipend). C-BRAINS is particularly eager to welcome students from multidisciplinary backgrounds applied to neuroscience and cognitive science, and willing to use their skills and experience in new and exciting projects proposed by our academic and associate partners. Interns will conduct their research at the various partner institutions after choosing from a list of over 70 topics. They will have the opportunity to contact potential supervisors prior to the March 3, 2023 deadline. Research opportunities are available at: https://dim-cbrains.fr/fr/phd-program/dim-cbrains <https://dim-cbrains.fr/fr/phd-program/dim-cbrains> Applicants must have a highly qualified undergraduate degree (or equivalent) and a Master of Science or other Master's degree from a university outside of France. They must not have worked or resided in France for more than 12 months during the 3 years preceding their recruitment by C-BRAINS. For more details on how to apply and the link to our online application form, please visit: https://dim-cbrains.fr/en/platform/login <https://dim-cbrains.fr/en/platform/login> The application will close on Friday, March 3, 2023 at midnight.

Jan. 25, 2023

Postdoctoral Fellow in Computational and Statistical Neuroscience NYU School of Medicine

by Chen, Zhe

Postdoctoral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from September 2022, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computational neuronal modeling, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>) with a subject line “Postdoc application”.

Jan. 24, 2023

Postdoc position in Computational Neuroscience

by Andrea Alamia

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements · Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. · Ability to work independently, developing ideas and interests within the project's scope. · A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. · Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

Jan. 24, 2023

Senior Research Associate (post-doc) position working on spiking neural networks

by Jeffrey Bowers

Deadline extended for Senior Research Associate (post-doc) working on EPSRC New Horizons project entitled "Exploring the multiple loci of learning and computation in simple artificial neural networks". The project assesses the adaptive value of learning outside of synapses in spiking networks. Position based in Bristol working with Jeffrey Bowers (https://jeffbowers.blogs.bristol.ac.uk/publications/psycho-neuro/) and Benjamin Evans (https://profiles.sussex.ac.uk/p555479-benjamin-evans) Daniel Goodman (https://www.imperial.ac.uk/people/d.goodman) will also be collaborating on the project. Based at University of Bristol, UK. Deadline for applying Feb 17th. For more details see: https://www.jobs.ac.uk/job/CWV563/senior-research-associate Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/

Jan. 24, 2023

Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses at OIST

by Erik De Schutter

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp <https://www.oist.jp/>), Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu <https://groups.oist.jp/cnu>). We are hiring two more postdoctoral fellows to support this effort. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses (https://www.youtube.com/watch?v=KpaIVOMi_tA) using our STEPS software (http://steps.sourceforge.net <http://steps.sourceforge.net/>). The research project depends on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. Access to OIST high performance computing cluster. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp <mailto:erik@oist.jp>) for inquiries.

Jan. 24, 2023

Deadline approaching for Okinawa/OIST Computational Neuroscience Course 2023

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

Jan. 24, 2023

3 PhD positions at the University of Bern

by jeanpascal.pfister＠unibe.ch

Applications are invited for three PhD student positions at the University of Bern. The positions are funded by a grant from the Swiss National Science Foundation which is entitled “Why Spikes?”. This project aims at answering an almost 100 year old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels. The PhD students and post-doc will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The PhD candidates (resp. post-doc candidate) should hold a Master (resp. PhD) degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>). ThThe position is offered for a period of three years and can be extended. Deadline for application is the 31st of January 2023 or until the position is filled. Salary scale is provided by the Swiss National Science Foundation. (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch> URL: http://www.physio.unibe.ch/~pfister/

Jan. 20, 2023

Ikerbasque Research Fellow 2023 call

by Serafim Rodrigues

Dear All *ikerbasque, * the Basque Foundation for Science, would like to inform you that they have launched *a new international call* to reinforce research and scientific career in the Basque Country: *20 positions for experienced postdoctoral researchers* *Ikerbasque Research Fellows* - 5-year contracts, during the last year the researcher can be assessed to obtain a permanent contract - An initial moving allowance of up to 4,000 € is provided for international moves. - A start-up funding of 10,000 € is provided for the initial research costs. - PhD degree between Jan 2012-Dec 2020 - A support letter from BCAM is mandatory - Applications from women are especially welcomed - Deadline: March 15th, 2023 at 13:00 CET The procedure for the pre-selection of the BCAM (Basque Center for Applied Mathematics) candidates will be as follows: - *Potential candidates interested in Mathematical, Computational and Experimental Neuroscience* - Please send email to Serafim Rodrigues <srodrigues(a)bcamath.org> - Please send before *Feb 14th 2023, * the following information: - *Updated CV* to the Serafim Rodrigues <srodrigues(a)bcamath.org> and recruitment(a)bcamath.org - *Two reference letters*. The reference letters shall be submitted directly by the referees to recruitment(a)bcamath.org - The BCAM Selection Committee will pre-select the candidates and will have an *interview with them *around *Feb 15th – 28th, 2023*. - After that, The BCAM Selection Committee will select the BCAM candidacies in this call by the end of February and will prepare the BCAM support letter for the selected candidates. For further information, please visit *calls.ikerbasque.net* <http://ikerbasque.mailrelay-iv.es/newslink/753570/22.html>*, *or contact us recruitment(a)bcamath.org -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

Jan. 19, 2023

ICANN 2023 - Call for Papers, Special Sessions & Workshops

by Sebastian Otte

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. CALL FOR SPECIAL SESSIONS AND WORKSHOPS ICANN 2023 organizers cordially invite internationally recognized experts to organize Special Sessions and Workshops within the general scope of the conference. Please submit your Workshop / Special Session proposal by the deadline (see SUBMISSION DEADLINES) to ICANN 2023 organizing board by email at liliadis AT civil.duth.gr (Prof. Lazaros Iliadis, ICANN 2023 General co-Chair) CALL FOR PAPERS Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SUBMISSION DEADLINES - Special session and workshop proposal submission: Feb. 28, 2023 - Full paper and extended abstract submission: Apr. 9, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

Jan. 19, 2023

Deadline CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023

by David B

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

Jan. 18, 2023

Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 25.01.23

by Graduate Programs

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience next Wednesday, January 25th, at 3pm (CET). Attendees are welcome to join in person at the BCCN Berlin or virtually via Zoom. The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2023-international-g…> for a more detailed schedule and registration link. Best regards, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Mondays - Thursdays

Jan. 18, 2023

Update- Women in Memory Research 2023

by Vinita Samarasinghe

An updated version of our WiMR 2023 program: The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Lab visits PM Funding and support structures 16.06.2023 Close up meetings (optional) *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Jan. 18, 2023

Postdoc/PhD for in silico reconstruction of neural tissue

by Mario Negrello

We are looking for one outstanding Postdoc or PhD to conduct computational neuroscience research in the neurocomputing lab in Rotterdam, The Netherlands (www.neurocomputinglab.com) In addition to a solid foundation in neurobiology (neurons and networks), and biophysics (Hodgkin-Huxley models and ion channel mechanisms), the candidate is expected to feel comfortable with applied mathematics and physics, and to have a penchant for the data sciences (under the many guises of supervised and unsupervised learning). The goal of the project is to engineer data-assimilation pipelines for efficient reconstruction of models of neuronal tissue (“Digital twin” factory). These will be used to produce predictions about disease pathways and the effect of pharmacology on neuronal dynamics. More details about the posting can be found here <https://docs.google.com/document/d/1eEAnb1zJaswbgpdsAK9p2-NZRGn40B-MlssHOM6…>. Interested candidates should contact Dr. Mario Negrello (m.negrello(a)erasmusmc.nl) Please include DIGITALTWIN and the position you are applying for (PhD or Postdoc) in the email subject.

Jan. 16, 2023

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition)

by Viola Priesemann

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition) Villa del Grumello, Como, Italy, May 22-26, 2023 ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Organized by Fondazione Alessandro Volta Lake Como School of Advanced Studies *** DEADLINE FOR APPLICATION: February 26, 2023 (firm deadline) *** Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline---including sociology, transportation, economics and finance, biology, and myriad others---and the study of "network science" has thus become a crucial component of modern scientific education. The school "Complex Networks: Theory, Methods, and Applications" offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields. LECTURERS --- ELSA ARCAUTE, University College London --- SHWETA BANSAL, Georgetown University --- PETER DODDS, University of Vermont --- NEAVE O'CLERY, University College London --- VIOLA PRIESEMANN, Max Planck Institute for Dynamics and Self-Organization --- CLARA STEGEHUIS, Twente University ORGANIZING COMMITTEE STEFANO BATTISTON, University of Zurich --- GINESTRA BIANCONI, Queen Mary University of London --- VITTORIA COLIZZA, INSERM and Sorbonne Université, Paris --- JAMES GLEESON, University of Limerick --- PETTER HOLME, Tokio Institute of Technology --- YAMIR MORENO, University of Zaragoza --- CARLO PICCARDI, Politecnico di Milano --- MASON A. PORTER, UCLA PROGRAM Monday, 22 May, morning - Introduction to complex networks (Dodds) Monday, 22 May, afternoon - Network motifs (Stegehuis) Tuesday, 23 May, morning - Ousiometrics and Telegnomics: Distant and computational measurement of essential meaning, history, and stories (Dodds) Tuesday, 23 May, afternoon - no lectures Wednesday, 24 May, morning - Spreading dynamics I (Bansal) Wednesday, 24 May, afternoon - Spreading dynamics II (Priesemann) Thursday, 25 May, morning - short talks by students Thursday, 25 May, afternoon - no lectures Friday, 26 May, morning - Inter-industry labour flow networks (O’Clery) Friday, 26 May, afternoon - Urban complex systems (Arcaute) For information and application: ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Sponsored by SICC - Italian Society for Chaos and Complexity -- This message was sent to viola.priesemann(a)ds.mpg.de by info(a)ml.sicc-it.org. To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page <http://ml.sicc-it.org/mylist/lt.php?tid=LB9VBgAFVQRVWE5cUFIHGwVbXgcaDAMIUBQ…> in our newsletter system. To change your details and to choose which lists to be subscribed to, visit your personal preferences page <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GV1VaUFRXVE5VCgRWGwULX1QaVAMBUxR…>. Or you can opt-out completely <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GAwRUVFIFVU4GAFACGwUAUFEaVwZWCRQ…> from all future mailings. powered by phpList 3.6.10, © phpList ltd <http://ml.sicc-it.org/mylist/lt.php?tid=LB9XUARUV1NVBU5UC1YLGwUBUQMaDAhTVxQ…>

Jan. 16, 2023

PhD position 'Big Sleep Data'

by Martin Dresler

Hi, We are looking for a PhD candidate (or junior postdoc) combining data science/AI, wearable EEG technology, and big sleep data at the Donders Institute in Nijmegen, NL. The project will focus on (i) developing a database for large datasets of neurophysiological sleep recordings together with multimodal analysis strategies/pipelines, and (ii) integration/fusion of neurophysiological data from different sensors with non-physiological data and annotations. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network "Lullabyte", working on the intersection of computer science, sleep research, and musicology; and the Donders Sleep & Memory Lab, working on the cognitive neuroscience of sleep and dreaming. Starting data is somewhat flexible within 2023, further info: https://dreslerlab.org/lullabyte Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

Jan. 15, 2023

Event Information: Human Brain Project Summit 2023 in Marseille

by HBP Education

Dear Sir or Madam, I hope this e-mail finds you well. From 28 March to 31 March 2023 the last Human Brain Project Summit will take place in Marseille, France. Therefore, I am asking you to please share the following event information with your network and add it to your list of upcoming events: Join us in Marseille from 28-31 March for the Human Brain Project Summit 2023! The Human Brain Project Summit provides an open forum for hundreds of researchers, plus policy makers, media and public, to discuss exciting scientific results, the latest developments in the project, and the cutting-edge services and tools available on the EBRAINS Research Infrastructure. The event will highlight the excellent achievements of the HBP at the point when the ten-year Flagship project approaches its conclusion (in September 2023) and the legacy that it will leave for the brain research community. Register for the event here: https://summit2023.humanbrainproject.eu/registration/ <https://summit2023.humanbrainproject.eu/registration/> Would you like to present your research at the Summit? Make sure to submit your poster abstract! Two winners will have the opportunity to present their research to the audience in a 10-minute plenary talk. Submit your abstract here before 2 February: https://summit2023.humanbrainproject.eu/abstracts/ <https://summit2023.humanbrainproject.eu/abstracts/> Should you have any questions or require further information, please don’t hesitate to reach out to us. Thank you for your help. Best regards, HBP Summit Committee

Jan. 13, 2023

NeuroDataShare 2023 workshop and hackathon - Sainsbury Wellcome Centre London, Feb 20-23

by Padraig Gleeson

(Apologies for cross posting) * * *NeuroDataShare 2023: Exploring and sharing multi-scale neuroscience data* Sainsbury Wellcome Centre, London, UK http://www.neurodatashare.org Modern experimental neuroscience is producing huge amounts of data at a rapidly increasing pace, with population recordings using multielectrode arrays and imaging and simultaneous behavioural data together with transcriptomics and anatomical reconstructions. While these data are useful to those who obtain them in the original studies, their value is magnified when they are shared in accessible formats with the wider community for use in new studies, and to investigate brain function from different perspectives. To facilitate this, many groups are developing tools, standardised languages and databases to help specify, analyse, visualise and share such data sets. *This meeting will bring together experimentalists, those offering infrastructure solutions for sharing data in neuroscience and those who wish to reuse, reanalyse and gain new insight into publicly available datasets.* The meeting will consist of a *2 day workshop of scientific presentations <http://www.neurodatashare.org/programme.html> (Mon 20th & Tues 21st Feb 2023)* at the Sainsbury Wellcome Centre <http://www.neurodatashare.org/directions> from leading neuroscientists who are generating data of different types across multiple scales, who are faced with issues of how to disseminate their output to other researchers. Scientific talks will be complemented by presentations from those developing the infrastructure to standardise and share data, and there will be discussions on the challenges and opportunities of greater data sharing in neuroscience. The second part of the meeting will be a smaller, more focussed *2 day hackathon <http://www.neurodatashare.org/hackathon.html> (Wed 22nd & Thus 23rd Feb 2023)* where PhD students, postdocs and PIs will get hands on demonstrations to get their data into standardised formats, including Neurodata Without Borders <https://www.nwb.org/>, as well as help with sharing the data on the Open Source Brain platform <https://www.v2.opensourcebrain.org/>. We look forward to welcoming you to London! NeuroDataShare organisers Padraig Gleeson, Angus Silver and Isaac Bianco.

Jan. 12, 2023

Postdoc position with Priebe/Seidemann/Taillefumier labs at University of Texas, Austin

by Taillefumier, Thibaud O

The Departments of Neuroscience, Mathematics, and Psychology at UT Austin are inviting applications for a postdoctoral research position to work with Professors Nicholas Priebe, Eyal Seidemann and Thibaud Taillefumier. The position is funded by an NIH grant shared by the Priebe, Seidemann and Taillefumier labs. The grant focuses on explaining the origin and putative roles of the neural variability recorded in visual cortex during behavior. A significant component of the proposed work will consist of modeling and statistical analysis of simultaneous recordings of single-cell membrane potential and extracellular neural populations during a variety of behavioral tasks. Competitive candidates include those with a strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Applicants should have a PhD in computational neuroscience, system neuroscience, machine learning, or related quantitative fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for two or three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to Thibaud Taillefumier (thibaud(a)utexas.edu<mailto:thibaud@utexas.edu>), Eyal Seidemann (eyal(a)austin.utexas.edu<mailto:eyal@austin.utexas.edu>), or Nicholas Priebe (nico(a)austin.utexas.edu<mailto:nico@austin.utexas.edu>). The successful candidate will join a highly dynamic collaborative environment across the departments of Neuroscience, Mathematics, and Psychology and within the Center for Computational and Theoretical Neuroscience, all at UT Austin. Within this environment, the collaboration between the Priebe, Seidemann and Taillefumier research groups combines experimental, computational, and theoretical approaches to understand the neural basis for vision processing in the brain. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

Jan. 10, 2023

Postdoc/PhD opening in information processing and criticality in neural networks

by Fabrizio LOMBARDI

We are recruiting a talented postdoctoral researcher or PhD student to participate in the project BRAINCIP, “Brain-wide criticality and Information processing”. The project lies at the interface of physics and neuroscience, and aims to test key assumptions of the critical brain hypothesis by investigating in vivo the role of brain-wide critical neural dynamics in information processing and complex brain functions in the Zebrafish. To this end, state-of-the-art experimental techniques to follow and finely perturb brain dynamics will be combined with theoretical and computational approaches to large scale data analysis and modeling. The ideal candidate will have a quantitative background—e.g. PhD/Master in mathematics, physics, computer science—, and strong programming skills (e.g., Python, C/C++, Matlab), along with (preferable but not mandatory) experience in applying this background to neuroscience. Experience with data analysis is a plus, but it is not mandatory. The post doc will join the Department of Biomedical Sciences and the Padova Neuroscience Center and live in highly active and stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between February-June 2023. Interested candidates should contact Dr. Fabrizio Lombardi (fabrizio.lombardi(a)ist.ac.at<mailto:fabrizio.lombardi@ist.ac.at>) and Prof. Marco Dal Maschio (marco.dalmaschio(a)unipd.it<mailto:marco.dalmaschio@unipd.it>). Please include BRAINCIP and the position you are applying for (PhD or Postdoc) in the email subject.

Jan. 10, 2023

Call for applications for training and mentoring cohort in open science (OLS-7) [corrected]

by Mayya Sundukova

Dear Comp-Neuro colleagues, The OLS-7 program run by Open Life Science is open for applications. Open Life Science is a non-profit organisation, registered in UK and providing structured global training, consulting and mentoring and community of practice. *Purpose*: Training for early stage researchers and young leaders interested in furthering their Open Science skills. Not limited to Life science and science. Community projects are very welcomed as well. *Process*: A 16-week mentoring & training program, based on the Mozilla Open Leader program, helping participants in becoming Open Science ambassadors by using three principles: - Sharing essential knowledge required to create, lead, and sustain an Open Science project. - Connecting members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - Empowering them to become effective Open Science ambassadors in their communities. ** Program is free, but requires registration in Openreview and application (simple one!) with a project where you would like to apply open skills ** You can check the recording of the application launch call from December 10th on Open Life Science youtube channel: https://youtu.be/shM2mVyLjxU And feel free to pop by on January 11th at the Application Clinic (Q&A) call. Registration and details: https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-506693121… More information: https://openlifesci.org/ols-7 Deadline is on the January 15th, and could be slightly extended. Feel free to reach out to the Open Life Science team at team(a)openlifesci.org Twitter: https://twitter.com/openlifesci Linkedin: https://www.linkedin.com/company/openlifesci/ Best, Mayya Sundukova, PhD in Neuroscience Resident Fellow at Open Life Science >

Jan. 9, 2023

Apply for Okinawa/OIST Computational Neuroscience Course 2023 till end of the month

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

Jan. 9, 2023

Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tuebingen, Germany

by Li Zhaoping

*Systems Vision Science Summer school & Symposium, Aug. 14-24, in Tübingen, Germany* *--------------------------------* Applications are invited for a brand new summer school designed foreveryone interested in gaining a systems level understanding ofbiological vision. We plan a coherent, graduate-level, syllabus on theintegration of experimental data with theory and models, featuringlectures, guided exercises and discussion sessions. The summer schoolwill end with a Systems Vision Science symposium on frontier topics,with talks and posters by additional participants. All summer school participants are invited to attend the symposium, and are welcome to submit contributions. *--------------------------------* ***Invited lecturers and speakers include:*Assaf Breska, Peter Dayan, Andrea van Doorn,Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink,Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. *******--------------------------------* Please apply**via_https://summerschool.lizhaoping.org/application_<https://summerschool.lizhaoping.org/application/>* by**** March 31, 2023.* Please check out our webpage_https://summerschool.lizhaoping.org_<https://summerschool.lizhaoping.org>to find more out about the program, our invited lecturers/speakers,and other details. Please direct inquiries to___svs.summerschool(a)tue.mpg.de_<mailto:svs.summerschool@tue.mpg.de> *******--------------------------------* *Organizing team:* Li Zhaoping, Ulf Lüder, Maria Pavlovic, Junhao Liang *__**_Max Planck Institute for Biological Cybernetics_*<https://www.kyb.tuebingen.mpg.de/en>**** *__**_University of Tuebingen_*<https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/>**** *__**_www.lizhaoping.org_* <http://www.lizhaoping.org>

Jan. 8, 2023

Re: 2022 PROSE book award in Neuroscience

by Grossberg, Stephen

Dear Comp-Neuro colleagues, I feel happy and honored to report that my Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 has won the 2022 PROSE book award in Neuroscience from the Association of American Publishers. Best wishes for the New Year! Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu -

Jan. 7, 2023

DEADLINE EXTENDED - Postdoc opening in computational analysis of electrophysiological data (FunSy team - Strasbourg)

by BATTAGLIA Demian

We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team – FunSy, https://funsyteam.org<https://funsyteam.org/>). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498) We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). EXTENDED DEADLINE FOR APPLICATION: January 22nd 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr<mailto:dbattaglia@unistra.fr> Romain Goutagny, goutagny AT unistra.fr<mailto:goutagny@unistra.fr>

Jan. 5, 2023

Postdoc Fellowships in new Center at Washington University in St Louis

by Goodhill, Geoffrey

Dear Comp-Neuro, Washington University in St Louis has now launched a new Center for Theoretical and Computational Neuroscience, ctcn.wustl.edu. This is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. The CTCN is now recruiting a cohort of outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs and help forge new collaborations. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, as well as being quite affordable. For more details on this prestigious Fellowship opportunity, including how to apply, please see ctcn.wustl.edu. Review of applications will begin on Jan 30th and continue until the positions are filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Jan. 4, 2023

Allen Institute Modeling Software Workshop

by Anton Arkhipov

Happy New Year, everyone! Please join us for the Allen Institute Modeling Software Workshop in beautiful Seattle, on July 13-14, 2023! https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, multi-compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on February 15. All applicants will be notified of the status of their application by April 15. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2023-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

Jan. 4, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Modeller’s Workshop for the Brain Dynamics Toolbox. An online course for those who wish to simulate user-defined dynamical systems using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org>). This is a self-paced course with a practical focus on the art of programming differential equations. Video lectures guide the student through every step of building the model. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Reference Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

Jan. 3, 2023

Postdoc position - Cheng Lab - Application deadline extended

by Vinita Samarasinghe

*The application deadline for this position has been extended until 31.01.2023 * *Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation, Faculty of Computer Science* Prof. Sen Cheng, Institute for Neural Computation, Faculty of Computer Science at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts as soon as possibleand is funded until 30.06.2025. *Job description* The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is January 31^st , 2023. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Jan. 2, 2023

2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK

by Lei Zhang

--- Happy New Year & Apologize for cross-posting --- **2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK** Dr. Lei Zhang (https://lei-zhang.net/) is looking for 2x PhD students interested in the cognitive, computational, and neural basis of (social) learning and decision-making in health and disease. The deadline for applications is in January 2023 to start in autumn 2023. The newly opened ALP(E)N Lab (Adaptive Learning Psychology and Neuroscience Lab) addresses the fundamental question of the “adaptive brain” by studying the cognitive, computational, and neurobiological basis of (social) learning and decision-making in healthy individuals (across the lifespan), and in psychiatric disorders. We combine an array of approaches including neuroimaging, patient studies and computational modelling (particularly hierarchical Bayesian modelling) with behavioural paradigms inspired by learning theories. The lab has a strong emphasis on equality, diversity and supporting lab members to thrive. The lab is based at the Centre for Human Brain Health ( https://birmingham.ac.uk/research/centre-human-brain-health/index.aspx) and Institute of Mental Health ( https://birmingham.ac.uk/research/mental-health/index.aspx) at the University of Birmingham, UK, with access to exceptional facilities including MRI, MEG, TMS, and fNIRS. Funding is available through two competitive schemes from the BBSRC ( https://www.ukri.org/councils/bbsrc/) and MRC ( https://www.ukri.org/councils/mrc/) that provide a stipend, fees (at UK rate) and a research allowance, amongst other benefits. International (ie, outside UK) applicants are welcome. The BBSRC project "Unravelling adaptive and flexible learning behaviour under social dynamics in health and disease" is in collaboration with Dr. Matthew Apps (Birmingham). Link to details: https://www.findaphd.com/phds/project/unravelling-adaptive-and-flexible-lea… The MRC Project "Neurocomputational mechanisms of self-referencing in social anxiety" is in collaboration with Dr. Patricia Lockwood (Birmingham), Dr. Mark Haselgrove (Nottingham) and Dr. Mona Garvert (London, as Industry Partner) Link to details: https://www.findaphd.com/phds/project/neurocomputational-mechanisms-of-self… Interested candidates should first send their CV and a short statement of research intentions by 9th January 2023 to Dr. Lei Zhang ( l.zhang.13(a)bham.ac.uk) before applying through the schemes, as only a small number of applicants can be put forward. Informal inquiries should also be directed to Dr. Lei Zhang. Many thanks, Lei Dr. Lei Zhang Principal Investigator/Associate Professor Centre for Human Brain Health & Institute for Mental Health School of Psychology University of Birmingham, UK e: l.zhang.13(a)bham.ac.uk w: lei-zhang.net t: @lei_zhang_lz

Dec. 30, 2022

Okinawa/OIST Computational Neuroscience Course 2023

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

Dec. 26, 2022

TR: MSc internship offer (dynamical systems for neurosciences)

by DEPANNEMAECKER Damien

MSc Internship Project: Dynamical study of a mean-field model of neural network activity driven by biophysical ion exchange mechanisms Project description. In neuroscience, the question of scales is central, ranging from the molecule to the whole brain. In theoretical and computational neuroscience, it is possible to model these different scales and to build the link between them [1]. In particular to describe the activity on the scale of a population of neurons by a mean-field approach, capturing some aspects of the corresponding spiking network. A recently derived mean-field model of a biophysical description of neuronal excitability shows abilities to capture synchronized activities observed in pathological states, such as seizures [2]. The system obtained is a compound of coupled differential equations which can be studied by applying timescale separation methods [3, 4]. This model is a candidate to be used within The Virtual Brain [5] for clinical applications. A detailed characterization is therefore essential. Main objectives. 1. To identify the different dynamical regimes of this model, in particular in a parameter configuration corresponding to a healthy state; 2. To determine the different timescales involved in this system; (and possibly) 3. To start a bifurcation study for identified biophysical parameters of interest. Period. Some time in 2023, in accordance with the schedule of the candidate’s courses. Location. One or both of the following addresses: Institut de Neurosciences des Systèèmes AMU Faculty of Medicine 27, Boulevard Jean Moulin 13005 Marseille, France and/or Inria centre at Université Côte d’Azur MathNeuro Project team 2004 route des Lucioles - BP 93 06902 Sophia Antipolis, France Supervisors. Damien Depannemaecker <https://www.researchgate.net/profile/Damien-Depannemaecker> (Aix-Marseille Université) and Mathieu Desroches <https://www-sop.inria.fr/members/Mathieu.Desroches/> (Inria). How to apply. Interested candidates should send a CV and a short motivation letter expressing their interest and skills for this project to: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr> and damien.depannemaecker(a)univ-amu.fr<mailto:damien.depannemaecker@univ-amu.fr>. Selected candidates will be invited to an interview, which may take place online. For candidates requiring a visa for the EU, a period of at least three months is necessary to obtain the documents. Candidate profile. The candidate from an MSc (M2) or an engineering school must have an interest and skills in dynamical systems as well as for neuroscience. Having at least basic programming knowledge (e.g. python or matlab) is necessary for this internship. The involvement and motivation of the candidate, as well as the ability to be organized and proactive, are essential criteria in the selection of the candidate. There could be perspectives of following up with a PhD. References 1. Depannemaecker D, Destexhe A, Jirsa V, Bernard C. Modeling seizures: From single neurons to networks. Seizure. 2021 Aug;90:4–8. Available from: http://dx.doi.org/10.1016/j.seizure.2021.06.015. 2. Bandyopadhyay A, Rabuffo G, Calabrese C, Gudibanda K, Depannemaecker D, Ivanov A, et al. Mean- field approximation of network of biophysical neurons driven by conductance-based ion exchange. bioRxiv. 2022. Available from: https://www.biorxiv.org/content/early/2022/12/03/2021.10.29.466427. 3. Desroches M, Rinzel J, Rodrigues S. Classification of bursting patterns: A tale of two ducks. PLoS Com- putational Biology. 2022;18(2):e1009752. Available from: https://journals.plos.org/ploscompbiol/ article?id=10.1371/journal.pcbi.1009752. 4. Saggio ML, Spiegler A, Bernard C, Jirsa VK. Fast–Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes. The Journal of Mathematical Neuroscience. 2017 Jul;7(1). Available from: http://dx.doi.org/10.1186/s13408-017-0050-8. 5. The Virtual Brain;. Available from: https://www.thevirtualbrain.org/.

Dec. 25, 2022

Women in Memory Research 2023

by Vinita Samarasinghe

The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (double room occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

Dec. 22, 2022

Bernstein Conference 2023

by FM-bernstein.communication

Dear colleagues, We are pleased to announce the Bernstein Conference 2023, which will be again in Berlin. Please highlight September 26-29, 2023, in your calendar. Check out our website and social media channels, where we will keep sharing new and detailed information as we progress. Season's greetings and a happy new year! Your Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: BernsteinNeuro LinkedIn: Bernstein Network Computational Neuroscience Mastodon: BernsteinNetwork(a)mastodon.world ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Dec. 22, 2022

Postdoc opening in analysis of complex hippocampal oscillations (Demian Battaglia and Romain Goutagny's FunSy team, Strasbourg)

by BATTAGLIA Demian

We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team – FunSy, https://funsyteam.org<https://funsyteam.org/>). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498) We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). DEADLINE FOR APPLICATION: January 15th 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr<mailto:dbattaglia@unistra.fr> Romain Goutagny, goutagny AT unistra.fr<mailto:goutagny@unistra.fr>

Dec. 20, 2022

New Book: Introducing Computation to Neuroscience – Selected Papers of George Gerstein

by Dr. David Goyer

Prof. Sonja Grün (INM-6, INM-10 & IAS-6; Jülich Research Center), together with colleagues Profs. A. Aertsen, P.E. Maldonado and G. Palm, recently published the book “Introducing Computation to Neuroscience – Selected Papers of George Gerstein <https://link.springer.com/book/10.1007/978-3-030-87447-6>”. George Gersteinhad his roots in physics and was known for his long-term commitmentto transformingneuroscience intoa field ofmore rigorous science, like physics was at the time. With this, hewas miles ahead of the ﬁeld, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. Eventually, he pioneeredwhat we now know asComputational Neuroscience-many years before the term was coined. But the overarching goal of George Gerstein’s research was always to understand the functional organization of neuronal networks in the brain. Prof. Grün and the editors nowhave compiled a selection of George Gerstein’s many seminalexperimental, theoretical andcomputational contributions to neuroscience into a single, comprehensive volume. They also provide a fresh view on the subjects of his work, as several of George Gerstein’s former students and collaborators kindly contributed introductionsto various chapters.This does not onlyframethe papers in their historical and present context, it alsoaddsthepersonal touch of their involvement in generating the papersand gives a glimpse into lab life. The book itselfis organized intoa series of chapters with differentsubjects, each one containing reprintsof George Gerstein’s papersin chronological order. Thereby, each of these chapters traces the developmentof George Gerstein’s seminal contributions to the Neurosciences, be it in the domain of neuron and network modeling or in the area of neuronal data analysis techniques. In the words of the editors: "/We hope that, taken together, these various Chapters and their Introductions will help the reader appreciate how much our current thinking on brain function owes to George Gerstein’s research and the insights gained from it. George was not only an innovative thinker in theory, experiment and analysis methodology, he also inspired by his mode of thinking science. Thus, in a way, this book is both a product of this inspiration and a tribute to it./" -- Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich Germany phone: +49-1756402993

Dec. 20, 2022

[Jobs] 2 Year independent Postdoc at the Institute for Neural Computation, Bochum, Germany

by Laurenz Wiskott

The Institute for Neural Computation of the Faculty for Informatics is looking for a postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39,83 hours per week, E13 TVL The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. extent: full-time duration: temporary beginning: as soon as possible application deadline: 21.11.2022 Your tasks: Independent research projects and publications. Acquiring third party funding. Teaching. A lot of room for own ideas and initiatives. Supervising student projects and your own PhD projects. Active participation in the local research environment. Your profile: Active participation in the local research environment. Solid knowledge in Computational Neuroscience. Potential to develop an original independent research agenda in one of the above-mentioned topics. Our offerings: An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning. Opportunity to develop an independent research profile and your own research group. Opportunity to pursue further scientific qualification. A lot of room for own ideas and initiatives. Additional information: At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. ANR: 1267 until 2023-01-02 Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de. Official job announcement: https://jobs.ruhr-uni-bochum.de/jobposting/360e82936d27d5749b276888153c2cb1…

Dec. 19, 2022

Post-doc position with Friedemann Zenke at the FMI, Switzerland

by Friedemann Zenke

The Computational Neuroscience Group, led by Friedemann Zenke at the Friedrich Miescher Institute in Basel, Switzerland (www.fmi.ch) is looking for a post-doctoral researcher. Position available from the beginning of 2023 (or later). Topics of interest include • Learning algorithms (bio-inspired self-supervised learning and credit assignment) • Spiking neural networks (sparsity, neuronal complexity, efficient training) • Continual learning (synaptic consolidation and circuit mechanisms) • Neuromorphic computing (online learning and dynamic neural networks) • Information representation in biological and artificial neural networks See www.zenkelab.org for more information. The position • Conduct research in computational neuroscience and bio-inspired machine intelligence. • Write research articles and present them at international conferences. • Publish in neuroscience journals and machine learning venues such as ICML, NeurIPS, ICLR, etc. • Interact and collaborate with experimental neuroscience groups or neuromorphic hardware developers nationally and internationally. Ideal profile • You are passionate about neural networks and enjoy tackling difficult research questions. • You hold a Ph.D. from a related discipline and are a team player. • You have published and possess solid analytical and programming skills. • Fluency in English, both spoken and written, is required. We offer • A diverse international work environment with room to develop one's project. • The option to collaborate with leading experimental groups in circuit neuroscience. • A vibrant lab environment with the possibility to acquire supervision experience if desired. • Opportunities to travel to international conferences or summer schools. • Competitive salary, professional career development, benefits, and working conditions. For more details, see https://www.fmi.ch/education-careers/postdoc-activities/. Application If interested, please get in touch with friedemann.zenke(a)fmi.ch. Please include: • CV (including publication list) • A brief statement of research interest • Contact details of two to three references -- www.zenkelab.org

Dec. 19, 2022

World's first Master of Neuromorphic Engineering courses

by Bharath Ramesh

Dear Engineers, scientists and computational neuroscience enthusiasts, The International Centre for Neuromorphic Systems, Western Sydney University, invites both domestic and international students to apply for the world’s first Master of Neuromorphic Engineering courses. We offer several programs, including a Graduate Certificate, a Graduate Diploma, a 1.5-year industry-oriented degree and a two-year research-oriented Master’s course in Neuromorphic Engineering. We seek dedicated, curious and open-minded scientists, engineers, physicists, electronics tinkerers, hardware and software hackers, and roboticists from diverse backgrounds. The course builds on the research background of our Neuromorphic Engineering and Event-Based Processing research staff. Successful applicants will receive significant mentorship. Mentors and course instructors will equip students with special digital vision and audition processing capabilities which are rarely taught at other Universities in the world. Mentors and instructors will provide students with opportunities to apply skills learned to practical projects which align with industry need. Although the post graduate courses will equip graduates with many in-demand machine-learning techniques, Neuromorphic Engineering researchers go beyond status-quo Machine Learning so that they can find solutions to issues that block progress in AI machine learning sensing and computer vision. Neuromorphic Engineering seeks to progress beyond failures in regular machine learning approaches as conventional approaches usually fail to generalise, are not environmentally sustainable, and are poorly suited to high-stakes time-critical low-powered applications. Currently demonstrated applications of Neuromorphic Engineering range from space tracking, intelligent sensing, online learning, one-shot learning, computer vision, computer listening, anomaly detection, remote sensing, lightning characterisation, surveillance applications, biological modelling and medicine. The course is currently accepting applications for 2023 entry. If you are considering any of these courses, we recommend applying now. The application deadline is February 2023. For more information about the course, please visit: Master of Applied Neuromorphic Engineering | Western Sydney University<https://www.westernsydney.edu.au/future/study/courses/postgraduate/master-o…> https://student-westernsydney.studylink.com/index.cfm?event=security.showLo… HOW TO APPLY: Submitting an online application is easy and free for Australian and New Zealand students. Applications for students we sincerely welcome applications outside of Australia and these external applications require a small processing fee. Successful applicants will be eligible for an Australian student VISA. Simply click on THIS LINK<Postgraduate students | Western Sydney University<https://www.westernsydney.edu.au/future/study/how-to-apply/postgraduate-stu…>> and follow the instructions. Western Sydney has a five-star ranking in 5-star ranking in: Teaching, Employability, Internationalisation, Facilities, Innovation, Inclusiveness Western Sydney is Ranked 1st in the world for commitment to the U.N. Sustainable Development Goals (SDGs). Furthermore, it is ranked 3rd in the world for SDG 5: Gender Equality and 4th in the world for SDG 10: Reducing Inequalities. See this link for more information: https://www.westernsydney.edu.au/future/why-western/global-rankings#overall<https://www.westernsydney.edu.au/future/why-western/global-rankings%23overa…> For any questions, please do not hesitate to get in touch. Bharath Ramesh, PhD b.ramesh(a)westernsydney.edu.au

Dec. 19, 2022

Error forward propagation: Feedforward Closedloop Learning (FCL)

by Bernd Porr

Dear all, There has been a lot of interest recently in performing deep learning without backprop - papers by Geoff Hinton and Barak Pearlmutter in particular showing how supervised and self-supervised learning can be achieved solely with forward message propagation. We wanted to mention here our own work dating back to 2019, in which we realised real-time reinforcement learning in a closed-loop setting via the forward propagation of error signals. Naturally forward propagation has the attraction of biological feasibility, but from our point of view the more important point is that error signals are then defined in the space of sensory inputs rather than motor outputs, which makes a lot more sense in the context of a self-contained autonomous agent. Rather than the reward functions of Q learning, we use reflex circuits to generate the errors: the goal of sensory learning is to predict disturbances before they occur, thereby silencing the reflex. To see the system in operation, here is a real robot learning a simple line-following task, where the system initially uses a light sensor to drive a reflex steering action, and learning discovers predictive information from vision which pre-empts this reflex: https://sigmoid.social/@berndporr/109534507823054808 Because the algorithm works for deep networks, arbitrarily complex predictive cues can in principle be discovered. Source code and paper: https://github.com/glasgowneuro/feedforward_closedloop_learning We would be highly interested to hear views on this approach. /Bernd Porr and Paul Miller -- http://www.berndporr.me.uk http://www.attys.tech +44 (0)7840 340069

Dec. 18, 2022

Sixth Groningen Spring School on Cognitive Modeling

by Thomas

____________________ Sixth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs – Date: 27-31 March 2023 Location: Groningen, the Netherlands Fee: € 305 (late fee after February 26 will be € 355) More information and registration: www.cognitive-modeling.com/springschool ____________________ Dear colleagues and students, We are excited to announce the sixth Spring School on Cognitive Modeling in Groningen, from 27-31 March 2023! This time, the Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials). Past years have shown that students get most out of the spring school if they really emerge themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only. To give students a broader picture, there will also be three guest lectures throughout the week. These lectures each give an introduction to yet another modeling paradigm: accumulator models (Leendert van Maanen), error-driven learning models (Jacolien van Rij), and dynamical systems (Herbert Jäger). Everyone is encouraged to attend those lectures. To round of the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner. Registration is now open. Please feel free to forward the information to anyone who might be interested in the Spring School. We are looking forward to welcoming you (again) in Groningen, The Spring School team springschool(a)rug.nl ______________ ACT-R Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo) Website: http://www.nengo.ca Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. ______________ — Thomas Tiotto, PhD Candidate, CogniGron - Groningen Cognitive Systems and Materials University of Groningen Nijenborgh 9, 9747 AG Groningen, The Netherlands Email: t.f.tiotto(a)rug.nl Profile: https://www.rug.nl/staff/t.f.tiotto/ Office: 5161 0318 Sent with Spark

Dec. 16, 2022

Call for Papers - IEEE T-MBMC - Special Issue on Bio-Chem-ICTs

by Murat Kuşcu

IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 15 March 2023 First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

Dec. 15, 2022

Interdisciplinary PhD program in London, UK

by Silver, Angus

Interdisciplinary PhD program in London, UK – call for 2023 applications – deadline 10th January. The London Interdisciplinary Biosciences Consortium (LIDo) Doctoral Training Partnership (DTP) is a BBSRC funded collaborative partnership offering world-class interdisciplinary research. LIDo unites an exciting team of outstanding universities and unique specialist institutions to provide innovative cutting-edge interdisciplinary research in the heart of one of the world's most vibrant and scientifically stimulating cities. LIDo will be offering 41 fully funded studentships in September 2023 across our DTP and iCASE routes of entry; these include home tuition fees and a tax-free stipend in the region of £19,668. A maximum of 11 of these positions can be offered to students eligible for overseas fee rates, where LIDo will cover the full fee amount. DTP Route In the first year of the programme DTP students will undertake two 4-month research projects in different partner institutions, selecting from a catalogue of over 200 topics. The choice of PhD topic is finalised after the second rotation project. Research opportunities are available across the breadth of BBSRC remit. Exemplar projects can be found on our website: https://www.lido-dtp.ac.uk/projects and DTP students will have the opportunity to contact potential supervisors in the Spring ahead of our call for projects. LIDo is particularly keen to welcome students from mathematics, computer science, engineering and the physical sciences who are eager to apply their skills and experience to biological problems and students from the plant sciences for exciting new projects available at our specialist academic and associate partners. All DTP students undertake a compulsory 3-month internship (PIPS) during their PhD to gain experience and context for careers where the transferable skills developed during their PhD programme can be usefully employed. iCASE Route Industrial collaborative (iCASE) students begin working on their named project from the start of the course. These projects represent genuine partnerships between academics within the LIDo consortium and industrial colleagues, allowing students to experience both distinctive environments in a mutually productive and supportive team and an extended placement of 3-18 months with their non-academic partner. Training and Cohort Building During the first-year, students will receive advanced training in fundamental and advanced mathematical, computational, and statistical skills for interdisciplinary and systems biology research. Expert in-house training in biological concepts and exposure to the history, trends and structure of the biotechnology and pharmaceutical industries make up the remaining first year teaching. Each year a week of cross research council remit teaching cushions the two rotations providing students the opportunity to hear from academic, industry, government, and not-for-profit speakers on a range of topics in the boundaries of BBSRC remit. The extraordinary LIDo teaching and research-intensive environment sits within a framework of robust and established cohort building activities, culminating each year in an academic retreat for the students. Application We enthusiastically invite applications by all highly motivated students from a wide range of academic backgrounds including biological, physical, computational, engineering or mathematical disciplines. Applicants must hold, or be expected to achieve, a first or high upper second-class honours degree (or equivalent), or an MSci or other Masters degree. For details on how to apply and the link to our online application form please go to: www.lido-dtp.ac.uk/apply<http://www.lido-dtp.ac.uk/apply> The application window will close on Tuesday 10th January 2023 at 5pm. R. Angus Silver, FRS Professor of Neuroscience and Wellcome Trust Principal Research Fellow Department of Neuroscience, Physiology and Pharmacology University College London Gower Street London WC1E 6BT Tel : 020 7679 7830 www.ucl.ac.uk/silverlab/

Dec. 15, 2022

Associate Research Scholar at Columbia University

by Michael Woodford

*Position for Associate Research Scholar with the Cognitive and Behavioral Economics Initiative, Columbia University* The Cognitive and Behavioral Economics Initiative (CBEI) at Columbia University invites applications for an Associate Research Scholar (ARS) position to begin May 1, 2023 or later. The appointment will initially be for one year but is renewable based on satisfactory performance and availability of funding. The Associate Research Scholar will facilitate research on number cognition and the role of imprecise number representations as a source of errors and biases in economic decisions. A focus of the research will be the comparative evaluation of alternative quantitative models of the resource constraint that limits the precision of number representations, and the way in which these representations change depending on the statistics of the decision problems that are presented and, on the time allowed for mental processing. The Associate Research Scholar will conduct behavioral experiments, develop and test computational models of cognitive processes, and participate in data analysis and manuscript preparation, under the direction of Prof. Michael Woodford. *Qualifications* Applicants must have a Ph.D. in Economics, Neuroscience, Computer Science, Physics, or a related discipline, and at least three years of postdoctoral experience in related research. The ideal candidate will have strong computational skills, and experience conducting behavioral experiments, as well as superior motivation, drive, and demonstrated aptitude for research. Previous experience with interdisciplinary collaboration is strongly desired. For additional details and instructions for how to apply, see the job posting at https://academic.careers.columbia.edu/#!/108222.

Dec. 15, 2022

Spring School INTERDISCIPLINARY COLLEGE 2023: Invitation to Participate

by Herbert Jaeger

The Interdisciplinary College (https://interdisciplinary-college.org/) is an annual one-week spring school, now in its 24th year. It offers a dense 4-track state-of-the-art course program in the wider sciences of intelligent/cognitive systems: Cognitive and Computational Neuroscience, Psychology, Machine Learning, AI and Philosophy. The perspective and mission is decidedly interdisciplinary. The 2023 event will take place in Guenne, Lake Moehne, Germany, on March 12-17, 2023 Chairs: Elisabeth Zimmermann, Gregor Schöner Each IK is centered on a *focus theme*. In 2023 the focus is on the role that physical interaction of an agent (with the environment, other agents, or its own body) plays for cognition. An offering of about 25 courses (each course 4-6 hours) is grouped under the perspectives of Movement & Bodily Experience; Neural Dynamics and Grounded Cognition; Experiencing Self and Others; Engaging with Technology & Things. The IK is also a unique social and networking event. Minds meet, music is played, and friends are made in long evening and night sessions in the welcoming conference site at Lake Moehne. While the IK has traditionally been mainly a European event, participants from outside Europe are highly welcome! Please visit https://interdisciplinary-college.org/ for the detailed program, venue and registration and everything else, including the IK's 40-year (pre-)history, and a totally seductive 6-min video on the startpage. --- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 web: www.ai.rug.nl/minds/ -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 web: www.ai.rug.nl/minds/

Dec. 14, 2022

Computational Neuroscience PhD position - Newcastle, UK

by Andrej Bicanski

Dear Colleagues, Please circulate this to any students that may be interested in a computational neuroscience PhD. The Topic: Modelling the staggered development and the decline with age of spatial coding in the mammalian brain + data analysis of single neuron recordings. In particular, the student will model the interactions between various spatial cells (head direction, place cells, etc) - e.g., in Matlab/Python. Candidates: This could be an interesting project for neuroscience/psychology graduates wanting to get into modelling. Students from outside these fields with a quantitative/programming background are welcome to apply too. Where: In sunny Newcastle, North UK, at Newcastle University, UK (with me), with a rotation in the lab of Prof. Colin Lever (Durham, UK, co-supervisor) Funding: Fully funded, for 4 years by the BBSRC. International and UK students can apply. Fees are covered! BBSRC Liverpool/Durham/Newcastle DTP3 scheme. Deadline: 9th of January Link: https://www.findaphd.com/phds/project/modelling-the-staggered-development-a…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.finda…> For more info on the application process visit the BBSRC DTP website: https://www.nld-dtp.org.uk/how-apply<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nld-d…> Happy to receive informal inquiries prior to application. Best wishes, Andrej Dr Andrej Bicanski School of Psychology & Biosciences Institute Faculty of Medical Sciences Newcastle University www.andrejbicanski.com

Dec. 12, 2022

COSYNE 2023: Travel grants, Registration, Tutorials

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open. Travel grants applications are now open. Travel grant application deadlines *31 December 2022, 11.59PM PST (Undergraduate Travel Grant)* 24 January 2023, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2023 will host tutorial sessions on 09 March 2023. For details on Cosyne tutorials please visit www.cosyne.org/tutorials. Cosyne 2023 Tutorial Session Sponsored by the Simons Foundation Topic: Methods in Reinforcement Learning for Neuroscience Speaker: Kimberly Stachenfeld (DeepMind) Kimberly Stachenfeld is a Research Scientist at DeepMind. Her research spans topics in Computational Neuroscience and Machine Learning, and focuses on the general question of how to learn structured, expressive world models that enable flexible reasoning. In ML, she is specifically interested in methods and applications for learned forward models using graph neural networks, and in Neuroscience, she mainly works on mathematical models of hippocampal representations to efficient, scalable RL learning. Learn to Use the International Brain Laboratory (IBL) Brainwide Map Dataset Tutorial The IBL recently released a Brainwide Map of neural activity during decision-making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain, and we want to make it easy for you to use it to test your own hypotheses. At this tutorial we’ll teach you how to use our API, ONE, to search and download datasets, and will show you how to do basic analysis such as raster plots, single cell PSTHs, and brain region averages. INVITED SPEAKERS Demba Ba (Harvard University) Camilla Bellone (University of Geneva) Frans de Waal (Emory University) Tatiana Engel (Cold Spring Harbor Laboratory) Robert Froemke (New York University) Catherine Hartley (New York University) Sheena Josselyn (SickKids) Adam Kepecs (Washington University) Tim Lillicrap (DeepMind) Mackenzie Mathis (École Polytechnique Fédérale de Lausanne) Srdjan Ostojic (École Normale Supérieure) Anne-Marie Oswald (University of Chicago) Nathalie Rochefort (University of Edinburgh) Maryam Shanechi (University of Southern California) Kimberly Stachenfeld (DeepMind) ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details.

Dec. 10, 2022

Postdoctoral Swartz Fellowships in Computational Neuroscience at Yale

by Murray, John

Postdoctoral Swartz Fellowships in Theoretical and Computational Neuroscience at Yale University The Swartz Program for Theoretical Neuroscience at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2022. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories affiliated with the Swartz Program at Yale (Jessica Cardin, Michael Crair, Damon Clark, Jonathan Demb, George Dragoi, Thierry Emonet, Michael Higley, Joe Howard, Monika Jadi, Jamie Jeanne, Alfred Kaye, Liang Liang, Benjamin Machta, John Murray, Anirvan Nandy, Ilker Yildririm, Steven Zucker). Applicants will be encouraged to participate in neuroscience and quantitative biology community at Yale, including through the Wu-Tsai Institute (https://wti.yale.edu/) and the Quantitative Biology Institute (https://qbio.yale.edu/) Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a CV, selected (p)reprints, contact information for two or three references, and a statement of research interests including which laboratories at Yale are of interest. All application materials should be sent to the following e-mail address with "Swartz" in the email title: john.murray(a)yale.edu<mailto:john.murray@yale.edu>. Review of applications will begin January 7, 2023 and continue until positions is filled. For any questions, please contact John Murray. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. https://neurojobs.sfn.org/job/35847/postdoctoral-swartz-fellowship-position… John D. Murray ----------------------------------------------- Associate Professor of Psychiatry, Physics, and Neuroscience Wu Tsai Institute Yale University murraylab.org<https://murraylab.org/> -----------------------------------------------

Dec. 9, 2022

Post-Doctoral position in Cognitive and Sensorimotor Neuroscience on human gargalesis | Donders Institute

by Konstantina Kilteni

Dear colleagues, We are excited to announce an opening postdoctoral position at our new lab at Donders Institute for Brain, Cognition and Behaviour, to work on a starting ERC project on gargalesis (tickle) perception: https://cordis.europa.eu/project/id/101039152. The main research focus of the project concerns when, where, how and why we interpret a touch applied on our body as ‘ticklish’. To address these questions, we will combine robotic technology, somatosensory psychophysics, neuroimaging (fMRI with focus on MVPA), brain stimulation (TMS), and advanced statistical modelling techniques. Requirements: • You should hold a PhD in the field of Neuroscience, Psychology, Cognitive Science, Biomedical Sciences, Engineering, or a related field. • You have skills and documented experience in collecting and analysing psychophysical, physiological, and behavioural data, as well as in analysing fMRI data, including the use of MVPA methods. • You have experience with, or are interested in, statistical and computational modelling. • You have a passion for research on the interface between neuroimaging, psychology and cognitive science. • You are curious, ambitious, and are able to work independently. • You are a team player with strong communication and coordination skills. • You have excellent English language skills and academic writing skills. Candidates will contribute to all steps of the research from literature review to implementation of study design, data collection, data analysis and preparation of manuscripts. The position is available for 1 year with the possibility for continuation for 2 more years, starting soon after the application deadline (with some flexibility on the starting date). For further information, please follow the link: https://www.ru.nl/en/working-at/job-opportunities/postdoctoral-researcher-i… Deadline of applications: January 15th, 2023 Interviews: January 25th, 2023 We are very curious and very excited about our research. Join us!! Konstantina Kilteni, Ph.D. Assistant Professor Department of Neuroscience | Karolinska Institutet Solnavägen 9 | 17165 Stockholm | Sweden https://www.kiltenilab.org/ |https://ki.se/en/neuro/kilteni-laboratory När du skickar e-post till Karolinska Institutet (KI) innebär detta att KI kommer att behandla dina personuppgifter. Här finns information om hur KI behandlar personuppgifter<https://ki.se/medarbetare/integritetsskyddspolicy>. Sending email to Karolinska Institutet (KI) will result in KI processing your personal data. You can read more about KI’s processing of personal data here<https://ki.se/en/staff/data-protection-policy>.

Dec. 9, 2022

PhD student position in Machine Learning: Theoretically motivated deep learning

by Tony Lindeberg

PhD student position in Machine Learning: Theoretically motivated deep learning At the Division of Computational Science and Technology at KTH we are seeking a new PhD student in Machine Learning / Computer Vision to handle scale-dependent information in image data. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks as well as experimental evaluations of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks Within the scope of this PhD student position, you will work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterised in terms of Gaussian derivatives, on specific research topics that we choose together within the scope of the research project ”Covariant and invariant deep networks” that finances this position. The overall goal is to develop new architectures for deep networks that can generalise to scaling variations that are not spanned by the training data, and which can achieve higher robustness to variabilities in test data, as well as enable more efficient training with lower requirements concerning the amount of training data. The candidate should have very good knowledge in mathematics (analysis and linear systems, which we use for modelling convolution transformations and geometric image transformations) as well as in structured programming to write code that is easy to use for making experiments with, maintain and develop and share with colleagues. You must have very good knowledge about programming deep networks in Python, PyTorch is meritorious. Knowledge in computer vision and image analysis is strongly meritorious. For further information and information about how to apply, see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:567595/wher… [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology Computational Brain Science Lab Division of Computational Science and Technology, CST SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 https://www.kth.se/profile/tony/

Dec. 9, 2022

December 15 Deadline; Wu Tsai Postdoctoral Fellowship

by giovanna.guerrero-medina＠yale.edu

The deadline to apply for a Wu Tsai Postdoctoral Fellowship is December 15, 2022. Please share the program details and the attached flyer with soon-to-be or recent PhDs outside of Yale who are enthusiastic about interdisciplinary research focused on cognition. The program provides a generous stipend for up to three years, funding for training and relocation, cohort-based professional development activities, and access to state-of-the-art facilities at Yale dedicated to integrative studies of the mind. International applicants are welcome. The Wu Tsai Postdoctoral Fellowship features opportunities for experimentalists and computationalists. The Computational Track is designed for scientists with expertise in computer science, data science, machine learning, artificial intelligence, applied math, or related fields who want to pursue independent research projects with Yale labs and use their skills to further our understanding of human cognition. The Experimental Track is for scientists wishing to work on co-mentored long-term projects in defined and compelling interdisciplinary neuroscience areas. Visit the Institute's website for a complete list of research projects. We encourage applications from scientists interested in contributing to diversity, equity, and inclusion in science. Find more information, past awardees, and application instructions here: https://wti.yale.edu/initiatives/postdoctoral. Best, Giovanna Guerrero-Medina, PhD She/Her/Ella Assistant Director for Diversity Equity & Inclusion, Wu Tsai Institute at Yale giovanna.guerrero-medina(a)yale.edu wti.yale.edu

Dec. 9, 2022

Announcing Okinawa/OIST Computational Neuroscience Course 2023

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Tomoki Fukai (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST) • Marylka Yoe Uusisaari (OIST) • more to be announced

Dec. 8, 2022

6 PhD positions available in biomimetic embodied AI

by Thomas Nowotny

Dear Comp-Neuro community, We are offering 6 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton. Deadline: 23 February 2023 Apply online: https://www.sussex.ac.uk/study/phd/apply Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulm…. Kind regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

Dec. 7, 2022

PhD on neural modelling of conscious perception

by Howard Bowman

PhD position, University of Birmingham: Identifying the Role of Conscious Perception, a Neuroimaging and Computational Investigation Howard Bowman and Damian Cruse, School of Psychology, University of Birmingham are seeking applications for this PhD project, which is competition-funded under the Midlands Integrative Biosciences Training Partnership (supported by the UK Biotechnology and Biological Sciences Research Council). The deadline for applications is Friday, January 20, 2023; a percentage of the available scholarships can be allocated to non-UK students. Informal enquires can be made to H.Bowman(a)kent.ac.uk<mailto:H.Bowman@kent.ac.uk>. The question of what conscious perception is for remains a key issue for science. In fact, a substantial part of the scientific study of consciousness has focused on showing how sophisticated subconscious processing can be, seemingly leaving little room for a "special" purpose for conscious experience. We have recently presented evidence that the subconscious brain is limited in its capacity to represent episodic information (Avilés, Bowman & Wyble, 2020; Bowman & Avilés, In Press; Bowman et al, 2014). We now have extensive behavioural evidence for this hypothesis. We are thus at a perfect stage to 1) characterise the neural correlates (with fMRI, MEG or EEG) that support this formation of episodic memories, and 2) explain these findings with the Simultaneous Type/ Serial Token (STST) model (Bowman & Wyble, 2007), a neural network model of temporal attention. We are proposing a PhD to work on one or both of these topics. More details can be found at, https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/neurosc… https://warwick.ac.uk/fac/cross_fac/mibtp/ -------------------------------------------- Professor Howard Bowman (PhD) Professor of Cognition & Logic in Computing at Uni Kent, and Professor of Cognitive Neuroscience in Psychology at Uni Birmingham (honorary at Wellcome Centre for Human Neuroimaging, University College London) Centre for Cognitive Neuroscience and Cognitive Systems and the School of Computing, University of Kent at Canterbury, Canterbury, Kent, CT2 7NF, UK email: H.Bowman(a)kent.ac.uk<mailto:H.Bowman@kent.ac.uk> WWW: http://www.cs.kent.ac.uk/people/staff/hb5/ School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

Dec. 7, 2022

Call for community review: The Essential Metadata for 3D BRAIN Microscopy metadata standards (3D-MMS)

by INCF

*INCF seeks community feedback on the 3D Microscopy Metadata Standard (3D-MMS)* Recent advances in fluorescence microscopy techniques and tissue clearing, labeling, and staining provide unprecedented opportunities to investigate brain structure and function, and to catalog brain cell types and define their location, morphology, and connectivity in a native context. It is essential to establish and adopt standards for annotating, reporting, and formatting imaging datasets so that other researchers can understand, reuse, and integrate microscopy data. The Essential Metadata for 3D BRAIN Microscopy metadata standards (3D-MMS) were built on existing efforts and developed with input from the brain microscopy community to promote adoption. The metadata standards include 91 fields organized into seven categories: Contributors, Funders, Publication, Instrument, Dataset, Specimen, and Image. Each metadata field is specified by a name, definition, a list of allowable values, whether it is required, and the number of times it can be repeated for a dataset. These metadata standards were developed by the BRAIN 3D Microscopy Working Group, and are being implemented within the Brain Image Library, the designated repository to accept and make microscopy data publicly available for investigators funded by the US BRAIN Initiative. Comments on this standard are open until February 3, 2023. Add your comments here: bit.ly/ComRevDec22 Why is it important to comment? Community feedback on standards & best practices helps us identify how standards can be improved to be as interoperable as possible with the systems, software, and resources that are currently being used in the field. Find out how to submit your feedback: bit.ly/INCFreview You can comment to express your support, help us identify potential weaknesses, or highlight possibilities for making the standard better or more useful. We value all feedback! Read the INCF criteria for endorsement: bit.ly/INCFreviewcriteria Community review report: bit.ly/ComRevDec22 3D-MMS in the INCF SBP catalog: bit.ly/INCFsbpBRAIN Project page: bit.ly/DORyProject 3D-MMS on Github: bit.ly/3DMMSonGH 3D-MM in Nature: go.nature.com/3VWdcWX Thanks for your help! /The INCF Team

Dec. 7, 2022

Postdoc on Brain network mechanisms underlying spatial cognition

by Peter Dayan

Postdoc position (m/w/d): Brain network mechanisms underlying spatial cognition A postdoc position is available at the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics to work with Dr. Oxana Eschenko on brain network mechanisms underlying spatial cognition. This project is a follow up study (Yang; https://www.jneurosci.org/content/jneuro/39/3/434.full.pdf; Mei; http://learnmem.cshlp.org/content/25/3/129) aiming at understanding the role of two thalamic nuclei – the nucleus reuniens and mediodorsal nucleus - within a large-scale brain network underlying spatial cognition. The involvement of both thalamic nuclei in spatial cognition can be inferred from anatomical connectivity and neuropharmacology, while neurophysiological mechanisms of the spatial network dynamics remain poorly understood. We hypothesize that a functional coupling exists between the associative thalamic nuclei, the hippocampus, and the prefrontal cortex and that this coupling enables successful spatial navigation and retrieval of spatial memory. To test this hypothesis, we recorded multi-site neural activity while rats learned a complex maze task, and plan to relate model-agnostic and model-dependent behavioral variables reflecting learning and decision-making to aspects of the extracellular neural signals, including spectral decomposition, coherence, cross-frequency and phase-amplitude analysis. Candidates should have strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Proficiency in English is essential. The position is available from March 1, 2023 and will be for one year in the first instance, subject to a probationary period. An extension may be possible depending on performance. Remuneration is based on qualifications and professional experience in accordance with the collective agreement for the public service (TVöD Bund) plus various social benefits and additional pension provision. The Max Planck Society is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. Please contact Dr. Eschenko (e-mail: oxana.eschenko(a)tue.mpg.de) with any enquiries. Application deadline is January 31, 2023. Please upload your application documents electronically to our job portal by Jan 31, 2023 using the following link: https://jobs.tue.mpg.de/jobs/191

Dec. 7, 2022

Postdoc position in deep learning, closed loop methods, and explainable ML at Cold Spring Harbor Laboratory

by Benjamin Cowley

A postdoctoral position in computational neuroscience /machine learning is available in Dr. Benjamin Cowley’s research group at Cold Spring Harbor Laboratory, NY. We are looking for a computational postdoc broadly interested in using machine learning approaches to answer scientific questions about the brain. We focus on designing *closed-loop methods for systems neuroscience* as well as building *explainable computational models of neural responses and behavior*. An important component of our work is to build tight-knit collaborations with experimental neuroscientists—collecting data and building models in tandem. A long-term goal is to identify and understand the step-by-step computations in the brain. For more information, see cowleygroup.cshl.edu Position Requirements Qualifications: PhD in machine learning, computer science, statistics, engineering, neuroscience, or related field; strong programming skills, publications in machine learning conferences or neuroscience journals, and experience or interest in neuroscience and collaborating with experimentalists. Familiarity with deep learning is recommended but not needed. To apply: Interested candidates should Please submit a CV, a short description of how our research interests overlap, and contact information for two references to: cowley(a)cshl.edu. In addition, please apply via the CSHL careers website at: https://cshl.peopleadmin.com/postings/20312 Position ID 03327-R. Candidates from non-traditional and/or underrepresented backgrounds, broadly defined, are strongly encouraged to apply. Environment Cold Spring Harbor Laboratory is a world-renowned biomedical research institution in New York. It has shaped contemporary biomedical research and is the home of eight Nobel Prize laureates. Cold Spring Harbor Laboratory provides a highly dynamic and interactive research environment and also a unique opportunity of timely exposure to advances in various biomedical research fields and of interaction with a broad range of researchers from all over the world through its renowned Meetings and Courses program. We believe that science is for everyone. We have had researchers with a variety of backgrounds and believe in the importance of diversity, equity, and inclusion. Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, paid time off, and a range of recognition and wellness programs. Visit our CSHL Benefits & Postdoctoral Landing sites to learn more.

Dec. 6, 2022

Funded PhD position available in Cellular Modelling

by b.flanagan＠ulster.ac.uk

The Intelligent Systems Research Centre at Ulster University is advertising a funded PhD position for a project titled “Computational Biophysical Modelling of Motor Neuron Disease.” Within this PhD, the candidate will explore several different disciplines including neuroscience, physics, and cell biology to develop a computational biophysical model which will help our understanding of the pathway to MN death in ALS. The candidate will consider the environment of the MN neurons, including glutamate pathways, surrounding astrocytes and the movement of ions, integral to proper neuronal function. The candidate will work closely with experimental neuroscientists to validate their model in vitro, to help further our understanding of the disease and offer insights into treatment development. More details about this position are available at https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455693. The PhD candidate will be based at the Derry campus of Ulster University, rated in the UK’s Top Ten Research Schools. Derry is located on the banks of the River Foyle in the north-west of Northern Ireland, perfectly positioned between the dramatic scenery of the Wild Atlantic Way and the Causeway Coast. It is a vibrant city seeped in history and culture, and its multitude of family-friendly activities makes Derry a great place to live. For more information, visit https://www.visitderry.com/ Essential criteria: Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study. We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction. In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications. Experience using research methods or other approaches relevant to the subject domain. A comprehensive and articulate personal statement. Desirable Criteria If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview. First Class Honours (1st) Degree Masters at 70% For VCRS Awards, Masters at 75% Experience using research methods or other approaches relevant to the subject domain Work experience relevant to the proposed project Publications - peer-reviewed Experience of presentation of research findings Please contact Bronac (b.flanagan(a)ulster.ac.uk) if you are interested or have questions. --

Dec. 5, 2022

My Seizure Gauge Seizure Forecasting Challenge

by Levin Kuhlmann

The 'My Seizure Gauge Seizure Forecasting Challenge' is now open from Dec 1 2022 until March 1 2023. The contest is hosted on Eval.ai and has a total prize pool of $USD 16,000. The goal is to develop seizure forecasting algorithms using wearables data. More details are available at the following link https://eval.ai/web/challenges/challenge-page/1693/overview The contest is supported by the Epilepsy Foundation of America, Seer Medical, The Mayo Clinic, Kings College London, The University of Freiburg and Monash University. -- Cheers, Levin Kuhlmann, PhD Senior Lecturer of Data Science, AI and Digital Health Director of Master of AI Faculty of Information Technology Monash University Rm 2.73, Woodside Building, Clayton Campus email: levin.kuhlmann(a)monash.edu phone: +61412 552283 web: https://research.monash.edu/en/persons/levin-kuhlmann

Dec. 4, 2022

Postdoc in computational neuroscience at NYU

by Cristina Savin

Applications are invited for a postdoctoral scholar position in the Savin and Angelaki group in the Centre for Neural Science at NYU. The position is funded by a new NIH grant, and focuses on elucidating the mechanisms of spatial navigation using multi-area recordings in freely moving monkeys in the context of foraging tasks. Aspects of this problem include determining the mechanisms representing and updating beliefs about location of self and targets, through the lens of interaction between multiple cortical areas. A significant component of the work focuses on developing new statistical data analysis tools for understanding inter-area communication in the context of naturalistic behavior. This is a joint endeavor across the two lab, with weekly joint meetings and regular group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis, starting from Dec 15, 2022, until the position is filled. Cristina Savin Assist.Prof. Neural Science and Data Science New York University

Dec. 2, 2022

Fwd: Postdoctoral position in neural coding, UKE, Hamburg (Germany)

by Stefano Panzeri

I am seeking candidates for a fully funded postdoctoral position in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE). The successful candidate will conduct research in my computational laboratory (Department of Excellence for Neural Information Processing) at UKE ( https://www.uke.de/english/departments-institutes/institutes/department-of-…) in collaboration with my lab’s experimental collaborators, including prominently Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT. We will investigate, by developing and using advanced data analysis methods and biophysically plausible neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce appropriate behaviors. We are particularly interested in discovering how correlations between neurons shape the encoding and transmission of information across areas of the cerebral cortex, and in understanding the theoretical principles of how to combine measures and perturbations of neural activity to probe causally the contributions of interactions between neurons to brain function. Our laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious and well-funded research environment (including receiving funding from the NIH Brain Initiative, Simons Foundation, the European Union). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates. Interested applicants are strongly encouraged to email me (s.panzeri(a)uke.de or stefano.panzeri(a)gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. I suggest interested candidates to attach a CV when inquiring by email. For recent publications from my lab relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. *NeurIPS 2022,* in press, arXiv:2210.07069 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. *PLoS Biology* 20(3): e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri

Dec. 2, 2022

Post-doc and graduate positions in DeAngelis lab, with Moreno-Bote and Drugowitsch Labs

by Ruben Moreno Bote

Postdoctoral and PhD positions in systems neuroscience, DeAngelis Lab, University of Rochester, in collaboration with Moreno-Bote and Drugowitsch Labs. A postdoctoral position and a graduate student assistantship in Systems Neuroscience are available at the University of Rochester, in the laboratory of Dr. Greg DeAngelis. The positions are part of a recently funded NIH project on the neural mechanisms of visually-guided navigation in virtual reality. The project is a collaboration with the laboratories of Dr. Ruben Moreno-Bote (UPF, Barcelona) and Dr. Jan Drugowitsch (Harvard Medical School, Boston). A 1-month visit to Barcelona every year is expected to foster the collaborative aspects of the project. The project involves psychophysics and large-scale electrophysiology in non-human primates, combined with computational approaches. The goal is to elucidate neural mechanisms for the visual-motor control of steering. Successful candidates will join a highly dynamic and collaborative group at the Center for Visual Science (https://www.cvs.rochester.edu) with strong theoretical/computational collaborations with the laboratories of Moreno-Bote and Drugowitsch, and expected extended visits to their labs. Previous work from our group has made fundamental contributions to our understanding of the neural basis of motion perception, depth perception, multisensory integration, self-motion perception, and perceptual decision-making ( https://pubmed.ncbi.nlm.nih.gov/?term=deangelis_gc&sort=date&size=100) Candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field. Previous research experience in systems neuroscience is desirable, although it is not necessary. Candidates should submit their CV, a brief statement of research interests, and the names and contact information for three references to gdeangelis(a)ur.rochester.edu. -- Rubén Moreno Bote Serra Húnter Professor Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

Dec. 2, 2022

PhD modelling brain learning

by O'Donnell, Cian

Our group at Ulster University are looking for a computational neuroscience PhD student for a project on “Discovering the rules of neural learning by computer simulations of brain biophysics and deep neural networks.” You will use multiscale computer simulations of electro-chemical signalling in neurons, synapses, and astrocytes to understand how the physical arrangement of different cell types affects brain learning. You can then use more abstract deep neural network models to study the circuit functions of these mechanisms for learning and memory. More details including reading material here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455716. The project will involve collaboration with Tom Bartol at the Salk Institute, La Jolla, California. You will join our research group which uses computational tools to do research on synaptic plasticity, learning and memory, autism, and neural data analysis methods: https://odonnellgroup.github.io. You will also be a member of the CNET team in the Intelligent Systems Research Centre (http://isrc.ulster.ac.uk) a community of researchers working across computational and cognitive neuroscience, neurotechnology, neuromorphic engineering, machine learning, robotics and related fields. We are based in the Derry campus of Ulster University. Derry a lively city of ~100K people on the River Foyle in Northern Ireland, UK. It has a highly affordable cost of living, thriving cultural scene, and access to spectacular coastal scenery and the great outdoors in Donegal and the north coast of Northern Ireland. To be eligible for funding, UK-based applicants should have or expect to obtain an upper second or first-class undergraduate or masters degree. International applicants should have a masters degree. Application deadline is 27th February 2023, for a Sept 2023 start. Application info here: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455716. Please contact Cian (c.odonnell2(a)ulster.ac.uk<mailto:c.odonnell2@ulster.ac.uk>) if you are interested or have questions. -- Cian O’Donnell Lecturer in Data Analytics School of Computing, Engineering and Intelligent Systems Ulster University https://odonnellgroup.github.io This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Dec. 2, 2022

Kempner Institute Fellowships at Harvard University

by Cengiz Pehlevan

The Kempner Institute at Harvard University is soliciting applications for the Kempner Institute Fellowships. We seek candidates with demonstrated ability and creativity who study one or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, computational neurobiology, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g. development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g. achieving a better understanding of deep learning). The Fellowship is intended for early stage scientists and will provide them with opportunities for intellectual growth in a highly interdisciplinary and collaborative environment. The fellows will independently set their research agenda but are strongly encouraged to work between fields and collaborate with preeminent experts at the Kempner Institute and at Harvard, more generally. Fellows will be appointed for a term of up to 3 years, with an annual salary of $100,000 and up to $10,000 per year of research support. Fellows will have access to shared office space, world-class computational resources and engineering support. They will benefit from a wide and deeply-engaged community of scientists, as well as access to the breadth of resources and facilities available to members of Harvard University. See https://academicpositions.harvard.edu/postings/11860 <https://academicpositions.harvard.edu/postings/11860> for more information. For other postdoctoral opportunities at Harvard for researchers in ML/AI, please see this webpage https://mlfoundations.org/#opportunities <https://urldefense.proofpoint.com/v2/url?u=https-3A__mlfoundations.org_-23o…>

Dec. 1, 2022

CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023

by David B

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

Nov. 30, 2022

New book on Neurorobotics

by Jeffrey L Krichmar

Dear Colleagues, Our book on Neurorobotics is now published. Please pick up a copy :) Happy reading! Jeff ----------- Neurorobotics: Connecting the Brain, Body, And Environment, The MIT Press. Authors: Tiffany J. Hwu and Jeffrey L. Krichmar Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples. Tiffany J. Hwu is a research scientist working on projects in autonomous agents and human-machine communication. Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine, where he teaches courses in artificial intelligence, cognitive robotics, and computational neuroscience. https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-… --------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Nov. 29, 2022

PhD positions in the area of intracortical visual prostheses

by David Rotermund

The Computational Neurophysics lab at the University of Bremen headed by Dr. Udo Ernst offers - under the condition of job release - at the earliest possible date a position until 30.09.2024: *Research Assistant in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (65 %) for the research project *I-See2 - Improving Intracortical Visual Prostheses Using Complex Coding and Spontaneous Activation States* The lives of many individuals are strongly impaired by missing the sense of vision. One putative option to help them are cortical prostheses. Such devices record images from our environment, encode this information into the 'language' of the brain, and stimulate neuron populations in the visual system for creating a corresponding percept. I-See2 (www.isee.uni-bremen.de) investigates new principles for building cortical prostheses in an international group with researchers from Canada, Switzerland and Germany. Your position will be at the heart of the project in Bremen, where computational methods are developed and data from our partner labs comes together. You will perform modelling of visual information processing, analysis of data from electrophysiological multielectrode recordings and optical voltage imaging, and be involved in model-driven visual stimulus generation for animal and human experiments. The position comes with direct supervision by the principal investigators and project coordinators Dr. David Rotermund and Dr. Udo Ernst. *Requirements:* Ideal candidates have a master's degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and be experienced in programming (preferably in Python/Matlab). Above all, they must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A325/22 to: University of Bremen FB1 Computational Neurophysics lab Secretary of Dr. Udo Ernst Mrs Agnes Janßen Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 or in electronic form in a summarized PDF file via e-mail: ajanssen(a)neuro.uni-bremen.de. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: udo(a)neuro.uni-bremen.de See also for general information on this topic: http://www.isee.uni-bremen.de _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: • What is your background? In which fields have you worked before and how do you think this can be useful for the present job? • What attracts you to the field of computational neuroscience? • Which problem(s) in computational neuroscience are you most interested in? • What is your motivation to join our project? • What are your plans for your future career? *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

Nov. 29, 2022

Fwd: INCF in Google Summer of Code (GSoC) 2023: call for mentors and project ideas

by Malin Sandström

Dear all, ---- please forward this call to potentially interested mentors in your network! --- INCF will apply to be a mentor organization in Google Summer of Code <https://summerofcode.withgoogle.com/> for the 13th time running. Important: Interested mentors need to contact us on gsoc(a)incf.org as early as possible with a declaration of interest and a short summary of the intended project. The deadline for expressions of interest is January 10. Full project descriptions need to be submitted by January 17. We are calling for open source software development project ideas with some sort of neuro connection - fixes or extensions to big/broadly applicable or small/niche tools used by neuroscience researchers, efforts and initiatives in the broad field of computational neuroscience. If your project supports or implements INCF endorsed standards or best practices <https://www.incf.org/resources/sbps>, we especially encourage you to apply. NB: There have been some changes to the program in recent years. These are the conditions for the 2023 program: - Flexibility in project lengths: a project can run for a duration of 10-22 weeks. The standard length is 12 weeks, but projects can be planned for a longer duration at the start, and they can be extended (by the org admin) on request during the program. - Choice of project time commitment: a project can be one of two sizes, either large (350 h) or medium (175 h). Google will want to us to apply with a good mix of large and medium project sizes. To give us a good chance of achieving a good mix, everyone submitting at least two project ideas will be asked to include both half-time and full-time projects (or at least one flexible project where the duration can be either large or medium, to be decided by mentor and contributor). - Contributions are *open to students* AND to *beginners in open source* software development. Also, the usual reminder: there is no guarantee that INCF will be accepted as a mentoring organization this year; Google announces the accepted organizations in February. Please be clear with this in your communication with potential contributors. The timeline will be a bit earlier than last year. Org applications will open January 23 and close February 7, with accepted organizations announced February 22. We aim to have a live Project Ideas list latest mid January. Reminder: Interested mentors need to contact us on gsoc(a)incf.org as early as possible with a declaration of interest and a short summary of the intended project. The deadline for expressions of interest is January 10. Full project descriptions need to be submitted by January 17. ________________________________ *Submission instructions* Each project idea submission should come by email to gsoc(a)incf.org and contain: 1) An informative title with relevant keywords (good-to-have: name of tool/project, name of programming language(s) or tools used) 2) A project description including a brief general intro, motivation, aims, scope and skills/skill level needed. Please make sure to clearly state - the planned effort (175 h, 350h or flexible) - the intended skill level (beginner, novice, intermediate, advanced) - the list of prerequisite skills the contributor will need to have - 2-5 tech keywords (Python, C++, Java, SQL, REST, CUDA, ...) For submissions with two or more project ideas, please include at least one project of each size (175 or 350 hours) or at least *one *project idea with flexible duration. 3) Name and email address of at least one lead mentor + one named co-mentor/backup mentor (a person who would be able and willing to back the main mentor up in mentoring in case something unforeseen happens). There can be more than one lead mentor, as long as you are internally clear on who does what. 4) Any planned longer absences during the lead up/student interaction period (February - April) or the project period (May - August), and your plan for covering them. 5) Format: your choice - txt, doc, docx, pdf or a link to a webpage with the full description(s). Anything that can be copied and pasted! Best regards, Malin Sandström -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

Nov. 29, 2022

Two open postdoctoral positions at Temple University

by Gillian Queisser

Position 1: Computational Neuroscience (https://www.mathjobs.org/jobs/list/21518<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mathj…>) The Department of Mathematics, Temple University, is inviting applications for a non-tenure-track Research Assistant Professor position. The appointment is for four years, to start on July 1st, 2023. This position is part of a US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation. The ideal candidate will have profound knowledge of numerical and computational methods for solving partial differential equations, excellent C++ programing skills and an interest in neuroscience/life science applications. The position also carries a teaching load of one class per semester. Applications should be be submitted via mathjobs.org, and include: the standard AMS Cover Sheet for Academic Employment, a cover letter, a curriculum vitae, a statement about current and future research, and a teaching statement. A complete application will also include at least four letters of recommendation, one of which addressing the candidate’s teaching qualifications. Review of applications will begin on January 1, 2023 and continue until the position is filled. Temple University is an Affirmative Action/Equal Opportunity Employer, and is committed to increasing the diversity of its faculty. We especially encourage applications from women, minorities, and other under-represented groups in the mathematical sciences. The Department of Mathematics at Temple University abides by the AMS postdoctoral offer response date guidelines. Position 2: Computational Mathematics (https://www.mathjobs.org/jobs/list/21570<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mathj…>) The Department of Mathematics, Temple University, is inviting applications for a postdoctoral position. This is a non-tenure-track appointment. The appointment is for four years, to start on July 1st, 2023. This research position is part of a US-German Collaboration toward a biophysically principled network model of transcranial magnetic stimulation. The ideal candidate will have profound knowledge of numerical and computational methods for solving partial differential equations (PDEs), and an interest in developing mathematical theory and numerical methods for solving nonlinear PDEs on complex domains with nonlinear interface conditions. The position also carries a teaching load of one course per semester. Applications should be submitted via mathjobs.org, and include: the standard AMS Cover Sheet for Academic Employment, a cover letter, a curriculum vitae, a statement about current and future research, and a teaching statement. A complete application will also include at least four letters of recommendation, one of which addressing the candidate’s teaching qualifications. Review of applications will begin January 1, 2023 and continue until the position is filled. Temple University is an Affirmative Action/Equal Opportunity Employer, and is committed to increasing the diversity of its faculty. We especially encourage applications from women, minorities, and other under-represented groups in the mathematical sciences. The Department of Mathematics at Temple University abides by the AMS postdoctoral offer response date guidelines. ————————————————— Gillian Queisser Department of Mathematics Temple University 1805 N Broad Street Philadelphia, PA 19122-6094, USA

Nov. 28, 2022

PhD / PostDoc positions in the area of machine learning with spiking neurons

by David Rotermund

The Computational Neuroscience group at the University of Bremen headed by Prof. Dr. Klaus Pawelzik offers - under the condition of job release - at the earliest possible date a position until February 28, 2025 *Research Assistant /Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale E13 TV-L (100 %) for the research project *Efficient Implementation of Spike-by-Spike Neural Networks using Stochastic and ApproximativeTechniques* The overarching goal of our project is to improve the efficiency of spiking artificial neural networks using hardware and algorithmic approximation techniques. Specifically, the project focuses on Spike-by-Spike networks since they offer a balance between computational requirements and biological realism which keeps the advantages of the biological networks while enabling a compact technical realization. To fully take advantage of the unique features of SbS in terms of robustness and sparseness, dedicated hardware architectures are required. You would join in with numerical simulations, theoretical analyses, as well as through the development of new ideas and approaches for boosting the performance and capabilities of the Spike-By-Spike model. Furthermore, you would also work on combining Spike-By-Spike networks with non spiking deep neuronal networks into hybrid models. Details can be found at https://www.neuro.uni-bremen.de/drupal/open-position-sbs *Requirements:* Ideal candidates have a master's or doctorate degree in Computational Neurosciences, Physics, Computer Sciences or in related fields. They must have a strong background in mathematics, programming (preferably in Python/Matlab), and machine learning as well as an intense interest in neuroscience. An optimal candidate should not be afraid of cooperating with engineers, since this is a joint project with a focus on hardware development. Above all, he/she must have a strong motivation, a sense for responsibility, a distinct desire to learn, and the ability to proactively collaborate in an international research environment. Fluency in English is required (both written and spoken). The Theoretical Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. The university is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification priority will be given to disabled persons. Please explicitly address each of the specified requirements in the application. Detailed instructions are described below. Please send your application documents (motivation letter, CV, copy of your degree certificates including high school, list of skills, awards, publications, contact details of two academic reference) until December 9th, 2022 by indicating the job id A326/22 to: University of Bremen FB1 Theoretical Neurophysics lab Secretary of Prof. Dr. Klaus Pawelzik Mrs Agnes Janßen Hochschulring 18, Cognium D-28359 Bremen Tel.: +49 421 218 62000 in electronic form in a summarized PDF file via e-mail: ajanssen(a)neuro.uni-bremen.de. For questions of the research project please contact: Prof. Dr. Klaus Pawelzik, E-Mail: pawelzik(a)neuro.uni-bremen.de See also for general information on this topic: http://www.neuro.uni-bremen.de/content/open-position-sbs _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1-2 page essay should reply the following questions: • What is your background? In which fields have you worked before and how do you think this can be useful for the present job? • What attracts you to the field of computational neuroscience? • Which problem(s) in computational neuroscience are you most interested in? • What is your motivation to join our project? • What are your plans for your future career? * * ** *Curriculum Vitae* Send a classical tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some. *Contact details of two academic references* One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted. Your application can be in English or German, whatever language you are more familiar with. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

Nov. 28, 2022

Postdoc position - Computational neuroscience - Cheng Lab

by Vinita Samarasinghe

*Postdoctoral Position in Computational Neuroscience at the Institute for Neural Computation, Faculty of Computer Science* Prof. Sen Cheng, Institute for Neural Computation, Faculty of Computer Science at the Ruhr University Bochum, invites applications for a full time (currently 39.83 hours/week) *Postdoctoral position (TV-L E13) in Computational Neuroscience. * The position starts as soon as possibleand is funded until 30.06.2025. *Job description* The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280) and studies the principles underlying spatial learning and its extinction with reinforcement learning models. A particular focus is the role of episodic-like memory in learning and extinction processes. The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. *Your Profile: * Candidates must have * a doctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English * the ability to work well in a team. Research experience in neuroscience would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is December 31^st , 2022. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Nov. 25, 2022

Postdoc and PhD positions in the area of predictive coding

by Christopher Laurie Buckley

Hi all, We are looking to recruit PhDs and a postdoc in the area of predictive coding. We are recruiting for the specific project below but there are various other sources of funding too. A postdoc and a PhD position are available at the University of Sussex between my own group and the group of Prof. Anil K Seth (Department of Informatics and Centre for Consciousness Science) on the EU-funded project entitled “A metapredictive model of synthetic awareness for enabling tool invention”. The project is a ground-breaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on the predictive processing of metacognition and validating its utility in real robots in the context of conditional sequential tasks, operationalised by tool use, as well as by the novel challenge of tool creation. This will suit those interested in predictive processing and generally work at the intersection of cognitive science and ML. To apply for the postdoc please see, https://www.sussex.ac.uk/about/jobs/research-fel-in-computational-cognitiv-… The closing date is 9th December 2022. For the PhD positions, and all informal inquiries. please contact c.l.buckley(a)sussex.ac.uk <mailto:c.l.buckley@sussex.ac.uk>.

Nov. 25, 2022

2 year Post-Doc in Brain Criticality at the University of Padova

by Samir Suweis

2 year Post-Doc in Brain Criticality at the University of Padova The groups of Judit Gervain <https://sites.google.com/site/juditgervain/?pli=1> and Samir Suweis <http://www.liphlab.com/> are recruiting a talented young postdoctoral researcher to participate in a project that is at the intersection of mathematics, physics, and neuroscience in the general area of brain criticality. In particular, the project will investigate how efficient learning during critical or sensitive periods early in life may be modelled. It will combine the theory of criticality in statistical physics with developmental cognitive neuroscience to offer a new model of perceptual attunement to the native language during the first year of life. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with (preferable but not mandatory) experience in applying this background to neuroscience. The post doc will join the Department of Developmental and Social Psychology, The Department of Physics and the Padova Neuroscience Center and live in highly active, stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between January-April 2023, unless otherwise agreed. The position is funded for two years. Interested candidates should contact Prof. Samir Suweis (samir.suweis(a)unipd.it <mailto:samir.suweis@unipd.it>) and Prof Judit Gervain (judit.gervain(a)unipd.it <mailto:judit.gervain@unipd.it>).We strive for a diverse and inclusive environment, and encourage applications from members of any identity. Sorry for cross posting, please forward to who may be interested. Best Samir - - - - - - - - Associate Professor, LIPh Lab - www.liphlab.com <http://www.liphlab.com/>, Physics & Astronomy Dept. Padova Neuroscience Center University of Padova Tel: +39 049 827 71 74 @SamirSuweis https://suweis.github.io/ <https://suweis.github.io/> Why don't you join the next generation publishing experiment with "Peer Community In" - publish and read at no cost and inject more money into research! Check us out @ https://peercommunityin.org <https://peercommunityin.org/> https://youtu.be/4PZhpnc8wwo <https://youtu.be/4PZhpnc8wwo> @PeerCommunityIn

Nov. 25, 2022

4-year postdoc in “Insect-Inspired depth perception” at Edinburgh

by Barbara Webb

A postdoctoral research associate position is available to undertake computational and physical modelling studies to translate insect visual depth perception to robot systems, under the direction of Professor Barbara Webb, in the School of Informatics at the University of Edinburgh. The project will focus on newly discovered forms of retinal and receptor motion in the insect compound eye that could enable near-field high-resolution stereo vision. The key outcome would be the design of a compact, low power visual sensor, and associated processing algorithms, which is particularly suited to distinguish the 3D shape of small nearby objects. The work will be carried out in close collaboration with neurobiologists at the University of Sheffield. The position is available for 48 months starting in February 2023, and has a salary range of £35,333 - £42,155 per annum. Candidates are expected to have a PhD in a relevant area and a strong background in computational modelling, ideally of neural circuits for perception, with a track record of good journal publications. The candidate is also expected to have good system engineering skills, including experience in design, construction and testing of hardware systems. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://edin.ac/3VGuxmX The closing date for applications is 21 December 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

Nov. 24, 2022

Postdoctoral position at Bern Hospital and University of Geneva

by Timothée Proix

A postdoc position is available under the shared supervision of Prof. Maxime Baud (https://www.neuro-elab.com/) a neurologist and experimental neuroscientist at Inselspital, Bern Switzerland and Dr. Timothée Proix (https://ndlab.ch/) a computational neuroscientist at the University of Geneva, Switzerland who both specialize in quantitative neuroscience research. Together, we are running a three-year clinical trial involving patients with epilepsy who received a minimally invasive EEG device beneath the scalp for the chronic recording (months) of brain signals during wake and sleep. To help with the analysis of massive amounts of EEG data, we are looking to hire a passionate postdoc with desire to build forecasting algorithms aiming at estimating the risk of seizures 24 hours in advance. *Start of project early 2023 **(Quarter 1)*, at the University of Bern. Yearly, renewable contract with Swiss salary in compliance with guidelines of the University. Required qualifications • Applicant should hold a PhD in any engineering field, physics, or neuroscience and have published scientific literature as a first author. • Strong abilities in computer programming (Matlab and/or Python) • Prior experience with machine learning methods, signal analysis and advanced data analysis techniques applied to neural timeseries (EEG > fMRI). • Strong interpersonal communication skills in English and good written English Preferred qualifications • Hands-on experience in human electrophysiology recordings is a significant advantage. • Experience with deep-learning, machine-learning or statistical model development Your tasks • Acquire domain knowledge in epileptology and sleep physiology • The project lies at the interface between machine learning and EEG data analysis. • The *goal of the project* is to develop *machine learning algorithms* to *forecast seizures*. To apply, please send a one-page motivation letter dedicated to this specific project, your up-to-date CV, and contact information for 2-3 references, as well as any other relevant documents to the Prof. Maxime Baud (maxime.baud.neuro (at) gmail.com) as well as Dr. Timothée Proix (timothee.proix (at) unige.ch). Screening of applications will start by November 2022 and will continue until the position is filled.

Nov. 23, 2022

Postdoctoral Positions at the University of Calgary

by Wilten Nicola

*Postdoctoral Position 1* We are currently looking for a postdoctoral researcher for a 2 year position in commercializing spiking neural network/neuromorphic technologies. This is a joint postdoc with Dr. Wilten Nicola and Dr. Aaron Gruber. The ideal postdoctoral researcher will have a strong background in hardware and software engineering, specifically with Field Programmable Gate Arrays or other neuromorphic-like platforms capable of spiking network emulation. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola at wilten.nicola(a)ucalgary.ca. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Nicola. *Postdoctoral Position 2* We are currently looking for a postdoctoral researcher for a 2 year position investigating how networks of neurons can learn to create abstraction and semantic definitions from a few stimuli. In short, how do networks of neurons learn and know how to generalize in a meaningful way? The ideal postdoctoral researcher will have a PhD in mathematics, physics or engineering and will have extensive experience in working with feedforward or recurrent neural networks, either artificial or spiking. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until this position is filled. For additional information and informal inquiries, please contact Dr. Nicola at wilten.nicola(a)ucalgary.ca. https://www.nicolacomputationalneurosciencelab.com/ The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

Nov. 23, 2022

[jobs] Lecturer / Senior Lecturer in Artificial Intelligence and Robotics

by Di Nuovo, Alessandro

The Computing Department as Sheffield Hallam is seeking an outstanding individual who can make a strong academic contribution to the area of artificial intelligence and robotics. Lecturer / Senior Lecturer in Artificial Intelligence and Robotics at Sheffield Hallam University (jobs.ac.uk)<https://www.jobs.ac.uk/job/CUW183/lecturer-senior-lecturer-in-artificial-in…> You will join a large Computing Department that is engaged in both teaching and research. Within the Department, there is a group of colleagues who are dedicated to the teaching and research of artificial intelligence and robotics. You will join this group and be expected to play a key role in delivering both teaching and research. The Department has recently approved a new masters course in artificial intelligence (MSc AI) and you will be directly involved in the teaching of this. MSc AI forms the foundation of the teaching within the artificial intelligence group, and it has been designed to cover a wide spectrum of artificial intelligence topics. Prior teaching experience is essential, and you will be expected to develop exciting and engaging teaching materials, deliver lectures and tutorials in a vibrant manner and assess students. In addition, you will join the Smart Interactive Technologies (SIT) research laboratory, a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that has a focus on Artificial Intelligence and Robotics. The laboratory hosts several prestigious research projects worth over £1 million funding from the European Union, for the European Training Network on PErsonalized Robotics as SErvice Oriented applications, and the EPSRC, for the projects ALDENS: Autonomous Learning and Development in Embodied Neuromorphic Systems, on embodied neuromorphic artificial intelligence, I'M-ACTIVE Intelligent Multimodal Assessment and Coaching Through Identification of Vulnerabilities in older people and the NetworkPlus EMERGENCE: Tackling Frailty - Facilitating the Emergence of Healthcare Robots from Labs into Service. The research laboratory is partner of Sheffield Robotics, a collaboration between the University of Sheffield and Sheffield Hallam University, which is one of the leading international groups in intelligent systems and robotics and which has received considerable investment in equipment as well as in facilities and staff at both Universities, including state-of-the-art robotics equipment such as the iCub, the Care-o-bot 4, and the Fetch Mobile Manipulator, plus many other robotic platforms like the humanoids Tiago, Pepper and NAO. You must hold a PhD (or equivalent) in a relevant subject; possess excellent communication skills, and an excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Experience of managing large research projects and contributing to external funding applications would be desirable. We welcome applications from people with strong backgrounds in artificial intelligence and robotics, and experience of programming in Python, C++, and ROS. Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

Nov. 22, 2022

PhD Program in Brain & Cognitive Science at the University of Rochester

by Haefner, Ralf

The Department for Brain & Cognitive Sciences at the University of Rochester is inviting applications for its PhD program. We seek exceptional students from a broad range of backgrounds with a strong interest in understanding the neural and computational basis of perception, cognition and action using experimental and theoretical approaches. Application Deadline: December 4, 2022, strongly encouraged but late applications accepted Start Date: July or September 2023. Application Details & Link: http://www.sas.rochester.edu/bcs/graduate/admission.html Program Info: http://www.sas.rochester.edu/bcs/graduate/curriculum.html. We especially encourage applications from minority and/or underrepresented students. The BCS department<http://www.sas.rochester.edu/bcs/> is one of the leading places of research in Brain & Cognitive Sciences and at the center of a vibrant and supportive scientific community. It has particularly strong ties to the Center of Visual Science<https://www.cvs.rochester.edu>, the Department for Neuroscience<https://www.urmc.rochester.edu/neuroscience.aspx>, the Department for Computer Science<https://www.cs.rochester.edu>, the Department for Linguistics<http://www.sas.rochester.edu/lin/>, and the Data Science Institute<https://www.sas.rochester.edu/dsc/>. PhD students with interdisciplinary research programs are eligible for joint PhD degrees with several departments. Every admitted PhD student is guaranteed 5 years of funding at currently ~$31.5k/yr (currently equivalent to ~120% NIH rate) which affords a good standard of living in an inexpensive city. We also provide a single plan UR health insurance, full tuition scholarship, paid family leave, and enduring NY State social protections. Both University and city are exceptionally LGBTQIA+ friendly. We believe that being a successful scientist requires not just dedication and supportive mentorship, but also a good work/life balance and the ability to explore one's passions both within and outside the lab. There are lots of ways to enjoy your time here: world-class symphony, museums, and a wide range of outdoor activities: several parks within cycling distance, 20 min by car to sandy beaches on Lake Ontario, 1h to Finger Lakes / wine country / skiing, 3h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and guaranteed snow in the winter. More info here: https://www.visitrochester.com. If you have any questions, please don’t hesitate to reach out to our beloved program administrator Kathy Corser<mailto:kcorser@ur.rochester.edu> or to any of our PIs directly.

Nov. 22, 2022

Open Rank Faculty Position at the Gatsby Unit, UCL

by Lin, I-Chun

Open Rank Faculty Position in Theoretical Neuroscience or Machine Learning at the Gatsby Unit Closing date: 6 December 2022 The Gatsby Unit seeks to appoint a new principal investigator with an outstanding record of research achievement and an innovative research programme in theoretical neuroscience or machine learning at any academic rank. In theoretical neuroscience, we are particularly interested in candidates who focus on the mathematical underpinnings of adaptive intelligent behaviour in animals, or develop mathematical tools and models to understand how neural circuits and systems function. In machine learning, we seek candidates who focus on the mathematical foundations of learning from data and experience, addressing fundamental questions in probabilistic or statistical machine learning and understanding; areas of particular interest include generative or probabilistic modelling, causal discovery, reinforcement learning, theory of deep learning, and links between these areas and neuroscience or cognitive science. The unit offers internationally competitive salaries and an award-winning work environment. Our staff are entitled to UCL's wide range of staff benefits, including family-friendly policies. We particularly encourage applications from candidates from groups, including women and those from an ethnic minority background, who are likely to be under-represented in UCL’s workforce in this type of role. For more information on the role and how to apply, please visit https://www.ucl.ac.uk/gatsby/vacancies About the unit: Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for both theoretical neuroscience and machine learning. We share a purpose-built home with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC). Our close connection with the SWC offers an unparalleled opportunity for theorists and experimentalists to work together towards understanding computation in neural systems. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL

Nov. 22, 2022

Lab Manager position (Tübingen - Germany) [Deadline 11 Dec 2023]

by Susan Fischer

(Apologies for cross-posting) The newly established W3 professorship “Computational Psychiatry” at the Dept. of Psychiatry and Psychotherapy, University Tübingen is offering a position for a Lab Manager (m/f/d; 50-100%, 1+ years) starting in January 2023 or at earliest convenience. The position is initially limited to 1 year with the possibility of a further extension. Background: The newly established W3 professorship “Computational Psychiatry” focuses on understanding the neural and computational mechanisms underlying psychiatric disorders, such as obsessive-compulsive disorder, and predicting disorder trajectories using computational modelling, neuroimaging, pharmacology and smartphone-based data collection in clinical and non-clinical populations. This position is suited for aspiring researchers with an MSc in psychology, cognitive science, or similar and is ideal for an ambitious person that wants to gain experience in cognitive neuroscience and computational psychiatry research. This position will allow the candidate to gain experience with conducting research with vulnerable populations and using cutting-edge computational psychiatry methods. Responsibilities: Involvement in the day-to-day running of the lab Assistance with conducting studies, e.g. piloting of studies, equipment setup and maintenance, and data collection (behavioural, neuroimaging, smartphone-based) Assistance with patient recruitment and support for clinical studies Assistance with coding experiments and analyses pipelines Support professor with administrative tasks and lab management: Support with Ethics applications Implementation and communication of general lab and safety regulations File and document management (e.g., preparatory work for the reimbursement of travel expenses) Organisation of higher-level laboratory management tasks (e.g. purchasing of equipment, inventory) Qualifications: Essential: This position is suited for aspiring researchers with an MSc in psychology, cognitive science, neuroscience, or similar Good organization skills and self-motivation Experience with conducting cognitive (neuro-)science / psychological research with human participants A strong interest in cognitive neuroscience and computational psychiatry and good understanding of the relevant literature Good command of the German language Desirable: Experience with conducting research in vulnerable populations, such as children and/or psychiatric patients Solid programming skills (Matlab, Python) Experience with neuroimaging and/or computational modelling would be ideal What we offer: We offer a unique lab manager position based at the Dept. for Psychiatry and Psychotherapy, University Hospital of Tübingen. The position is funded by an Alexander-von-Humboldt-Professorship award. We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. The candidate will gain insight into the process of academic research, and it will be a great stepping stone towards an independent research career. The position will be linked to the new German Centre for Mental Health and there is ample opportunity for interacting with collaborators locally, nationally and internationally. About Tübingen: Tübingen is a scenic university town on the Neckar River in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, four Max Planck Institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https://www.tuebingen.de/en/ How to apply: If you are interested in the position, please get in touch with Susan Fischer via email (susan.fischer(a)tue.mpg.de) enclosing your CV. For formal applications, please send a motivation letter, your CV, and the contact information of two referees as a single PDF to Susan Fischer. The University of Tübingen is an equal opportunities employer. Severely handicapped persons with equal qualifications are given preferential consideration. Applications of qualified women academics are thus especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Please note the applicable vaccination regulations. The employment will be arranged by the central administration of the University of Tübingen. Preference will be given to applications received by 11 December, 2022, but applications might be considered thereafter until the position is filled. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

Nov. 21, 2022

PhD student position in computational neuromechanical modeling, at EPFL, Lausanne, Switzerland

by Auke Ijspeert

*PhD student position in computational neuromechanical modeling * The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuromechanical modeling*. The position is part of the ERC Synergy Salamandra project that started in September 2021, together with Prof. Andras Simon (KI Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models of the musculoskeletal system of the salamander (and other related animals), (ii) to develop models of the physical interactions of the simulated bodies with water and ground environments, and (iii) to simulate neurons that relay proprio- and exteroception to locomotor circuits (together with computational neuroscientists in the team). The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational modeling and physics-based simulations, e.g. in computer science, mechanical engineering, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in animal and robot locomotion. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/) The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs (e.g. robotics or computer science). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date: **The ideal starting date is September 2023* (with some flexibility). Applications will be considered starting *from December 2022*, and then continuously until the positions are filled. *Contact: *Information concerning the type of research carried out by the lab can be found at https://www.epfl.ch/labs/biorob/ . You should send your application and any inquiry by email to: auke.ijspeert(a)epfl.ch -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

Nov. 20, 2022

COSYNE 2023: Abstract submission closes soon

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 23 November 2022, 11:59PM PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 November 2022. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. See Cosyne.org -> Abstracts -> Abstract submission for details on how to submit an abstract to Cosyne. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

Nov. 18, 2022

PhD & Postdoc positions at Bocconi University, Milan (IT)

by Alessandro Sanzeni

Hi all, PhD and Postdoctoral positions are open in computational neurosciences at Bocconi University (Milan, Italy). Research topics include: how movement modulates neural responses to visual stimuli; integrating connectomes in mechanistic models of brain functions; building normative models of neural representations. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. Positions will be part of the vibrant community at Bocconi University, which includes researchers working in neuroscience, machine learning, computer science and statistics (a complete list of researchers can be found in the websites of the Department of Computing Sciences <https://cs.unibocconi.eu/>, Decision Sciences <https://dec.unibocconi.eu/> and the BIDSA <https://bidsa.unibocconi.eu/>). Bocconi University is committed to building a diverse intellectual community (a detailed strategic plan can be found at this link <https://www.unibocconi.eu/wps/wcm/connect/bocconi/sitopubblico_en/navigatio…>) and we particularly encourage members of underrepresented groups to apply to these positions. Application deadline for PhD students is February 1st, 2023. Postdoctoral application reviews will start on Dec. 1st and will continue until positions are filled; the ideal starting date is before June 2023. Candidates should send their CV and a brief cover letter to: alessandro.sanzeni(a)unibocconi.it <mailto:alessandro.sanzeni@unibocconi.it> All the best, Alessandro Sanzeni

Nov. 18, 2022

Postdoc + PhD positions in Constantin Rothkopf's lab in ERC funded project ACTOR

by Constantin Rothkopf

One postdoc and one PhD position are available in the lab of Constantin Rothkopf at the Centre for Cognitive Science @ TU Darmstadt as part of the ERC project ACTOR. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks ranging from continuous psychophysics to navigation and food preparation in the framework of sequential decision making/planning/optimal control/RL. To get a better idea, here some work from our group related to this project: - F. Kessler, J. Frankenstein, C. A Rothkopf. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to a an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in several fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt just recently reached 7th place worldwide in a ranking by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. While some of the positions within this ERC are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page summary of your past research experience and current research interests, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “721” and the code for the Postdoc position is “722”. Official advertisements are linked at the end of this post. The positions can be filled starting in December. Applications will be reviewed on a continuing basis. All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/ Official ads: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote… https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote…

Nov. 17, 2022

PhD & Postdoc at University of Lyon1, FR

by DI VOLO MATTEO

PhD and Postdoctoral positions are open in computational neurosciences at the University of Lyon1, in the Stem and Brain Research Institute (https://sbri.fr/) The project aims at understanding the cellular and circuit mechanisms responsible for cognitive functions, combining computational and theoretical aspects of neural modeling as well as analyses of electrophysiological data. Further details at https://euraxess.ec.europa.eu/jobs/865006. The positions are available starting immediately. Candidates should send their CV and a brief cover letter to Matteo di Volo: matteo.divolo(a)univ.lyon1.fr

Nov. 17, 2022

Assistant Professor position in Cognitive Sciences at UC Irvine

by Jeffrey L Krichmar

Dear Comp-Neuro colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an anticipated start date of July 1, 2023. We are seeking scientists who study human vision, with a particular interest in those who combine an empirical research program with innovative approaches in neuroscience and/or cutting-edge computational tools such as machine learning and AI. The successful candidate will establish a vital research program, and contribute to teaching, mentoring, and to inclusive excellence. They will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Applicants should submit a cover letter, curriculum vitae, research and teaching statements, a statement describing past or potential contributions to diversity, equity, and inclusion, three recent or relevant publications, and the names and contact information of three references. The application requirements along with the online application can be found at: https://recruit.ap.uci.edu/JPF07912. To ensure full consideration, applications must be completed by December 15, 2022. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Nov. 17, 2022

PhD Positions in Visual Cognition & Computational Neuroscience

by Marius Catalin Iordan

The lab of Dr. Marius Cătălin Iordan at the University of Rochester (Depts. of Brain & Cognitive Sciences and Neuroscience) is recruiting 1-2 PhD students interested in visual cognition + neuroscience and/or quantitative + computational methods applied to human neuroimaging. Apply by December 4 for a Fall 2023 start date. Our lab studies how the human brain organizes conceptual information into categories, events, and stories to understand and interact with our complex, noisy world. More details about our research can be found here: www.MariusCatalinIordan.com . Details re: position, application, compensation, benefits, & friendly lab culture below. PhD Program in Brain and Cognitive Sciences: Application Deadline: December 4, 2022. Start Date: September 2023. Application Details & Link: http://www.sas.rochester.edu/bcs/graduate/admission.html Program Info: http://www.sas.rochester.edu/bcs/graduate/curriculum.html. We especially encourage applications from minority and/or underrepresented students. Students with strong computational background & interests may be eligible for a joint PhD degree in Brain and Cognitive Sciences and Computer Science. Ideal candidates have psychology, neuroscience, and/or computer science research experience, as well as programming skills; computational methods and/or neuroimaging experience is a plus. However, strong evidence of passion & dedication for research may partly substitute for the above. In your personal statement, please describe your research contributions during current and past projects, as well as your computational / programming prowess. Also, please make sure to include 1-2 specific cognitive (neuro)science question(s) you would like to pursue in grad school. We look for students who can think clearly about which scientific questions are most important, which methods are best for answering those questions, and why they're passionate! Come work in a welcoming, inclusive, equitable, and friendly environment where you'll be supported and valued. We will train you to become an independent scientist and we'll provide support for achieving your own best path forward, whether in academia or industry. You'll join a growing community of interdisciplinary scientists and you'll have opportunities to collaborate with several communities and departments: Brain and Cognitive Sciences, Psychology, Neuroscience, Data Science, & Computer Science. You'll receive training in psychology & neuroscience, esp. cognition, as well as computational approaches, including machine learning and neural networks. Our lab also provides training opportunities in a cornucopia of techniques and methods, including fMRI, psychophysics, real-time neuroimaging, and neurofeedback. Collaboration opportunities are also available within the department for students interested in EEG and AR/VR. We'll also help you build and hone other valuable and marketable skills, such as teaching, leadership, mentoring, project management, & scientific communication. Your salary will afford you a good standard of living in an inexpensive city: ~$31.5k/yr (currently equiv. to ~120% NIH rate) or external/fellowship funding rate, whichever is higher. We also provide a single plan UR health insurance, full tuition scholarship, paid family leave, and enduring NY state social protections. We believe that being a successful scientist requires not just dedication and supportive mentorship, but also a good work/life balance and the ability to explore one's passions both within and outside the lab. There are lots of ways to enjoy your time here: world-class symphony, great culture and food, exceptionally LGBTQIA+ friendly University and city, 20 min to a sandy beach, 1h to Finger Lakes / wine country / skiing, 2h to great hiking in the Adirondacks. We also have a balanced 4 season climate with weather for every occasion: Lilac Festival in the spring, beautiful sunny summers (<10 days above 90 degrees), gorgeous fall foliage, and snowy holidays in the winter. More info here: https://www.visitrochester.com . If you have any questions or would like to request a waiver of the application fee ($30), please reach out to mci (at) rochester (dot) edu.

Nov. 16, 2022

Call for papers, Scientific Reports special issue: Biological modularity

by alireza valizadeh

Dear all, Sientific reports accepts papers for the collection "Biological Modularity". Please see below. https://www.nature.com/collections/bedecebdgf/how-to-submit Collection Biological modularity Submission statusOpen Submission deadline08 March 2023 Modularity has become a central concept in biological sciences, stemming from the notion that biological systems can be conceptualised as intricate networks, which in turn are often divided into sets of strongly interacting parts that are relatively autonomous with respect to each other. Modularity has strong evolutionary implications, and has been applied at various scales, from gene regulation and cell metabolism, to organism development, morphogenesis and functional anatomy, to neural circuits and behaviour, and species’ or whole community interactions. This Collection will bring together original research advancing our understanding of modularity, as well as its application in various biological fields, including multidisciplinary studies. --------------------------------------------------------------------- Alireza Valizadeh Professor Neurophysics lab, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran Tel:(+98) 24 3315 2120 Fax:(+98) 24 3315 2104 valizade(a)iasbs.ac.ir Web: http://www.iasbs.ac.ir/~valizade/index.html --------------------------------------------------------------------

Nov. 16, 2022

Tenure-track Assistant Professor in Computational Brain Science at Brown

by Michael J Frank

The Robert J. and Nancy D. Carney Institute for Brain Science <https://www.brown.edu/carney/> at Brown University invites applications from rising and established leaders in computational brain science for a tenure-track position at the Assistant Professor level. A transformative $100M gift to the Institute is catalyzing the growth and expansion of Carney faculty and research over the next decade, including to further research goals of the Center for Computational Brain Science <https://ccbs.carney.brown.edu/>. As part of this expansion, this search will consider applicants with expertise in computational neuroscience broadly construed and will result in an appointment with a tenure-track home in a Carney Institute-affiliated department (including physics, applied mathematics, computer science, neuroscience, and cognitive, linguistic and psychological sciences). The successful applicant will have an outstanding record of research and teaching that contributes to the mission of the candidate’s appropriate home department and the Carney Institute Center for Computational Brain Science. We are particularly interested in scholars who demonstrate commitment to promoting diversity and inclusion in the brain sciences. The Carney Institute promotes discovery and innovation in brain science by supporting a diverse community of experimentalists, theorists, engineers, and clinicians. With more than 180 affiliated faculty members in more than 20 academic and clinical units, the Carney Institute catalyzes research across the brain sciences, including in the neurobiology of cells and circuits, computational brain science, cognition and behavior, and neuroengineering and neurotechnology. We are a highly interactive community that values collaborative approaches to tackle major questions in brain science to benefit society. Quality of research and scholarship is central to reaching our goals and this depends on engaging talented scientists from across academia and embracing their contributions in a fully inclusive community. The Carney Institute’s strategic vision is aligned with Brown’s commitment to creating a more fully diverse and inclusive community, outlined in “Pathways to Diversity and Inclusion: An Action Plan for Brown University <https://www.brown.edu/about/administration/institutional-diversity/pathways> .” *Qualifications* Applicants must have a Ph.D. at the time of starting work. The start date can be anytime between July 1, 2023, and January 1, 2024. *Application Instructions* All candidates should submit: (1) a teaching statement; (2) a research statement; (3) a diversity and inclusion statement; (4) a curriculum vitae; (5) up to 5 publications; and (6) a cover letter describing their interest in the position (including the general field of research and potential departments of interest); (7) at least three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor, and teacher. Inquiries about the position should be directed to carney-institute(a)brown.edu. Full consideration will be given to applications received by December 15, 2022; we will continue to accept applications until the position is filled. Brown is an equal opportunity/affirmative action employer, and members of underrepresented groups in brain science are strongly encouraged to apply. Apply at http://apply.interfolio.com/115307. *Equal Employment Opportunity Statement* *Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to and does not discriminate on the basis of, gender, race, protected veteran status, disability, or any other legally protected status.* Michael J Frank, PhD | Edgar L. Marston Professor Director, Carney Center for Computational Brain Science <https://www.brown.edu/carney/ccbs> Laboratory of Neural Computation and Cognition <https://www.lnccbrown.com/> Brown University website <http://ski.clps.brown.edu>

Nov. 16, 2022

GEM 2023 - Call for Abstracts

by Vinita Samarasinghe

The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for abstracts for its biennial conference *GEM 2023* (Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy), which will be held *in person*at the Ruhr University Bochum, Germany from 12^th to 14^th June 2023. For more information on the conference please visit https://for2812.rub.de/gem2023. We invite submissions for symposia, talks and posters. *Please note that all presentations are in person.* Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Abstract* submission deadlines [GMT +1 (CET)]: Abstract submission – 15.03.2023 Notification of acceptance – 15.04.2023 Submission guidelines: Abstracts mustbe submitted in English and be no longer than 500 words.Submitted work must be original and unpublished andsubmitted electronically athttps://www.conftool.net/gem2023/. Types of submissions: * Talks * Symposia: In addition to submitting individual talks there is also the option to submit a set of talks (henceforth called symposium). Symposiamust be interdisciplinary in nature, i.e., they must contain talks from at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience, and must comprise 3 talks. Please note that if one or more of the talks that make up the symposium are rejected the remainingtalks are not automatically rejected. They will be scheduled into the general program by the program committee. * Posters Please ensure that your files are in PDF format and are no larger than 10 MB. We look forward to welcoming you in Bochum. Vinita Samarasinghe Coordinator -- Coordination Office For 2812 "Constructing scenarios of the past: A new framework in episodic memory" https://for2812.rub.de 25.11.2022 - Colloquium - Olaf Blanke <https://for2812.rub.de/events/#event_60> 09.12.2022 - Colloquium - Kristina Liefke <https://for2812.rub.de/events/#event_61> 13.01.2023 - Colloquium - Caswell Barry <https://for2812.rub.de/events/#event_62> Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Email: for2812(a)rub.de

Nov. 15, 2022

Gary Marcus speaking on November 17 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On November 17, the Developing Minds global online lecture series will feature Gary Marcus: „Towards a Foundation for AGI“ https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 09:00 am PST (Pacific Standard Time) 17:00 UTC (Universal Coordinated Time) 18:00 CET (Central European Time) 02:00 am, Friday Nov. 18, JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Large pretrained language models like GPT-3 and PaLM have generated enormous enthusiasm, and are capable of producing remarkably fluent language. But they have also been criticized on many grounds, and described as "stochastic parrots." Are they adequate as a basis for artificial general intelligence [AGI], and if not, what would a better foundation for general intelligence look like? Bio GARY MARCUS is a leading voice in artificial intelligence. He is a scientist, best-selling author, and serial entrepreneur (Founder of Robust.AI and Geometric.AI, acquired by Uber). He is well-known for his challenges to contemporary AI, anticipating many of the current limitations decades in advance, and for his research in human language development and cognitive neuroscience. An Emeritus Professor of Psychology and Neural Science at NYU, he is the author of five books, including, The Algebraic Mind, Kluge, The Birth of the Mind, and the New York Times Bestseller Guitar Zero. He has often contributed to The New Yorker, Wired, and The New York Times. His most recent book, Rebooting AI, with Ernest Davis, is one of Forbes’s 7 Must Read Books in AI. You can follow him at garymarcus.substack.com and on Twitter, @garymarcus. The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

Nov. 13, 2022

Re: Postdoc and PhD position in Computational Cognitive Neuroscience

by Christopher L Buckley

Apologies, the post doc position is for 2 years with possible extension for 2 years not 14 months as stated in the advert. Best, Chris > On 11 Nov 2022, at 15:13, Christopher Laurie Buckley <christopher.laurie.buckley(a)gmail.com> wrote: > > > Hi all, > > A postdoc and a PhD position are available at the University of Sussex in my own group and the group of Prof. Anil K Seth (Department of Informatics and Centre for Consciousness Science) on the EU-funded project entitled “A metapredictive model of synthetic awareness for enabling tool invention (METATOOL)”. The METATOOL project is a ground-breaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on the predictive processing of metacognition and validating its utility in real robots in the context of conditional sequential tasks, operationalised by tool use, as well as by the novel challenge of tool creation. This will suit those interested in predictive processing and generally work at the intersection of cognitive science and ML. > > To apply for the postdoc please see, > https://www.sussex.ac.uk/about/jobs/research-fel-in-computational-cognitiv-… > The closing date is 9th December 2022. > For the PhD position, and all informal inquiries. please contact c.l.buckley(a)sussex.ac.uk. > > > Professor Christopher L. Buckley > Sussex AI Group > Department of Informatics > University of Sussex > Falmer > Brighton, UK > >

Nov. 11, 2022

Postdoc and PhD position in Computational Cognitive Neuroscience

by Christopher Laurie Buckley

Hi all, Hi all, A postdoc and a PhD position are available at the University of Sussex in my own group and the group of Prof. Anil K Seth (Department of Informatics and Centre for Consciousness Science) on the EU-funded project entitled “A metapredictive model of synthetic awareness for enabling tool invention (METATOOL)”. The METATOOL project is a ground-breaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on the predictive processing of metacognition and validating its utility in real robots in the context of conditional sequential tasks, operationalised by tool use, as well as by the novel challenge of tool creation. This will suit those interested in predictive processing and generally work at the intersection of cognitive science and ML. To apply for the postdoc please see, https://www.sussex.ac.uk/about/jobs/research-fel-in-computational-cognitiv-… The closing date is 9th December 2022. For the PhD position, and all informal inquiries. please contact c.l.buckley(a)sussex.ac.uk. Professor Christopher L. Buckley Sussex AI Group Department of Informatics University of Sussex Falmer Brighton, UK

Nov. 11, 2022

Two postdoc positions in bio-inspired AI

by Thomas Nowotny

Dear all, We are looking for two post-doctoral research fellows to join our team working on bio-inspired AI and robotics at the University of Sussex which will suit people with a range of backgrounds (from robotics, through computational neuroscience to Artificial Life). Deadline 22nd November. You will develop novel active AI algorithms that are inspired by the rapid and robust learning of insects within the. £1.2m EPSRC International Centre to Centre Collaboration project: “ActiveAI: active learning and selective attention for rapid, robust and efficient AI.” and will work in collaboration with the University of Sheffield and world-leading neuroscientists in Australia. Detailed information and how to apply can be found here: https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-… https://www.sussex.ac.uk/about/jobs/research-fellow-in-bio-inspired-ai-rob-… Your primary role will be to develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the learning problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. The cycle of modelling and experiments will be achieved through field work in both Sussex and Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham within the Department of Informatics at Sussex and will join an active team of research fellows and PhD students working on similar topics at Sussex. Please contact Andrew Philippides (andrewop(a)sussex.ac.uk<mailto:andrewop@sussex.ac.uk>) for informal enquiries Kind regards, Thomas Nowotny -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

Nov. 10, 2022

Software Engineering and PostDoc position at EPFL

by Mathis Alexander

My group has two openings: * Software engineer position in NeuroAI * SNSF-funded Postdoc position to model the sensorimotor system (see second half of the email) Thank you! Software engineer position in NeuroAI The Alexander Mathis Group of Computational Neuroscience & AI (UPAMATHIS, https://mathisgroup.org<https://mathisgroup.org/>) at EPFL (Lausanne & Geneva, Switzerland) is looking for a software engineer to support the research in Computer Vision, Machine Learning and modeling the Brain. Part (50% effort) of this position would also support our work collaboratively with the Mathis Laboratory<http://www.mackenziemathislab.org/> on DeepLabCut - a popular animal pose estimation system https://github.com/DeepLabCut/DeepLabCut EPFL<https://www.epfl.ch/de/> is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. Requirements: Candidates minimally should have a bachelor’s in Computer Science or related fields, and a masters degree or PhD is preferred. * Candidates without a PhD must be from Switzerland or the EU, PhD holders can be from anywhere in the world * Work is onsite at Campus Biotech in Geneva, Switzerland * Excellent English verbal and written communication skills and proven record of effective communication, both written and verbal, with scientists is required An ideal candidate would have prior experience in: * 3+ years of experience in Python & Machine Learning related technologies such as TensorFlow, PyTorch, JAX. * 2+ years of professional software development experience * Experience building and scaling systems both on-premise and the cloud. * A record of experience working with scientists and other research engineers Deadline and starting date: Applications are requested starting from November 15 2022 and will then be processed as they arrive until the position is filled. The ideal starting date is winter or spring 2023. How to apply: Applications should consist of a motivation letter, a CV, two relevant GitHub repositories, and the email addresses of two or more referees. Please send your application and any inquiry by email to alexander.mathis(a)epfl.ch<mailto:alexander.mathis@epfl.ch>. Additional information about our research can be found at https://www.mathisgroup.org<https://www.mathislab.org/> Related work: Lauer, …, Mathis & Mathis Nature Methods<https://www.nature.com/articles/s41592-022-01443-0> 2022 SNSF-funded Postdoc position to model the sensorimotor system The Alexander Mathis Group of Computational Neuroscience & AI (UPAMATHIS, https://mathisgroup.org<https://mathisgroup.org/>) at EPFL (Lausanne, Switzerland) has one open postdoc position in to model the sensorimotor system funded by the Swiss National Science Foundation (SNSF). The goal is to build deep learning models of the sensorimotor system with a particular focus on proprioception based on known anatomical, pharmacological, lesion, behavioral and physiological data. We will then test predictions with our experimental collaborators. EPFL<https://www.epfl.ch/de/> is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. Related work: DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body<https://arxiv.org/abs/2209.14218> Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis. NeurIPS (in press), 2022. Contrasting action and posture coding with hierarchical deep neural network models of proprioception <https://www.biorxiv.org/content/10.1101/2020.05.06.081372v3> Kai J. Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis**, Alexander Mathis**, BioRxiv, 2022. Requirements: Candidates should have a Ph.D. and a strong publication record in computational neuroscience or related fields. An ideal candidate would have prior experience in: * Reinforcement learning * Machine learning * Modeling neural data * Biomechanics * Fluency in oral and written English is required. Deadline and starting date: Applications are requested starting from November 15 2022 and will then be processed as they arrive until the position is filled. The ideal starting date is spring 2023. How to apply: Postdoctoral applications should consist of a motivation letter, a CV, two relevant publications, and the email addresses of two or more referees. Please send your application and any inquiry by email to alexander.mathis(a)epfl.ch<mailto:alexander.mathis@epfl.ch>. Additional information about our research can be found at https://www.mathislab.org<https://www.mathislab.org/> [cid:clip_image001.png] Alexander Mathis Tenure Track Assistant Professor people/alexander.mathis mathislab.org<http://mathislab.org>

Nov. 10, 2022

Funded PhD Scholarship in Developmental Neurorobotics at Sheffield Hallam University (UK)

by Di Nuovo, Alessandro

About the Project This scholarship will support the PhD candidate to carry out frontier research in Developmental Neurorobotics, a combination of Neuromorphic Computing and Cognitive Developmental Robotics. The PhD candidate will work with the Professor Alessandro Di Nuovo and his team, who have been awarded funding by the EPSRC for his research in the field. We are looking for an outstanding student to work with the team of a new EPSRC project. The research will pioneer the new developmental neuromorphic paradigm, which will be a synergic combination that will go beyond the limitations of the individual paradigms: neuromorphic computing will provide efficient brain-like resources able to process a more accurate representation of the real world, meanwhile developmental robotics will deliver the missing learning mechanisms for complex applications of neuromorphic spiking neural networks. The short-term objective is to demonstrate feasibility and lay the foundation of a biologically plausible framework to simulate the human-like learning process of numerical and abstract cognition, a fundamental characteristic of human intelligence. The team long-term goal is to create an artificial mind for robots that 'grows up' like a child's brain. This will be underpinned by neuromorphic computing which emulates the deep-lying architecture of the brain and will allow it to interpret and adapt to situations. As well as enabling the creation of robots with a human-like ability to reason, behave and interact the creation of an artificial mind will boost research in life sciences disciplines such as neuroscience by allowing researchers to run biologically realistic simulations to test theories. By simulating information on the inner workings of the brain that could not otherwise be detected, it could enhance our understanding of neurodevelopmental and learning disorders and lead to new treatments. Eligibility Information on entry requirements can be found here<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> The ideal candidate should have a Masters degree in Neuromorphic Computing, Computational Neuroscience, Machine Learning, or closely related disciplines in AI and Robotics, excellent programming skills and experience in interdisciplinary research. How to apply Your application should be emailed to industry-innovation-admissions(a)shu.ac.uk<javascript:void(0)> Any interested candidates must contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. The application should explain how the candidate knowledge, skills and experience are relevant to the project short and long-term objectives. For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> ________________________________ Funding Notes The PhD studentship provides tuition fees at UK level and a maintenance bursary at the UK Research Councils' national minimum doctoral stipend rate (£17,668 for 2022/23). The scholarship is available for three years of full-time. ________________________________ References Di Nuovo, A., McClelland (2019). Developing the knowledge of number digits in a child-like robot. Nature Machine Intelligence, 1(12), 594-605. Di Nuovo, A., & Jay, T. (2019). Development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. Cognitive Computation and Systems, 1(1), 2-11. Di Nuovo, A., & Cangelosi, A. (2021). Abstract Concept Learning in Cognitive Robots. Current Robotics Reports, 2(1), 1-8. Roy, Jaiswal, Panda, (2019). Towards spike-based machine intelligence with neuromorphic computing. Nature, 575(7784), 607-617. Krichmar (2018). Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers in Neurorobotics, Vol. 12, p. 42. Furber (2016). Large-scale neuromorphic computing systems. Journal of Neural Engineering, 13(5), 51001. Sengupta, et al. (2019). Going deeper in spiking neural networks: VGG and residual architectures. Frontiers in Neuroscience, 13, 95. Quax, D'Asaro,van Gerven, (2020). Adaptive time scales in recurrent neural networks. Scientific Reports, 10(1), 11360.

Nov. 10, 2022