- Comp-neuro - lists.cnsorg.org

Preparatory workshop for shaping funded research teams in neuromorphic and unconventional computing (Europe only)
by Herbert Jaeger 28 Jul '22

28 Jul '22

The Volkswagen Foundation -- Germany's largest private research funding organization -- launches an initiative for the development of neuromorphic and other non-digital approaches to analyse and engineer computing systems. One action within this initiative is to support the formation of INTERDISCIPLINARY, possibly multi-national research teams. In a preparatory "Ideation" workshop, to be held in Einbeck (Germany) in December 5-8, 2022, European researchers interested in non-digital computing are invited to exchange views and ideas and start networking. The target audience is open-minded postdocs and assistant/junior professors with backgrounds in relevant areas - including but not restricted to materials and devices, microchip technology, optical computing, neuroscience, cognitive modeling, theory of computing, machine learning, complex dynamical systems, or philosophy of computing. The aim of the workshop is the nucleation of research teams who subsequently submit funding proposals for large-scale interdisciplinary research projects. More information can be found at https://www.volkswagenstiftung.de/en/funding/our-funding-portfolio-at-a-gla…. -- 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) 50-36 32473 COVID home office phone: +49 (0) 4209 930403 web: www.ai.rug.nl/minds/

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Workshop on Big Data Neuroscience UT Austin
by Franco Pestilli 27 Jul '22

27 Jul '22

Dear Colleagues, We are excited to announce the 7th annual Big Data Neuroscience (BDN) workshop organized by the Advanced Computational Neuroscience Network <https://neurosciencenetwork.org/ACNN_Workshop_2022.html#home>. The BDN workshop brings together researchers in neuroscience, computer science, statistics, computer engineering, structural biology, neuroinformatics, and related disciplines. The BDN workshop will be held in Austin, Texas, September 15-16, 2022. The themes of the workshops will be on the following topics: (1) Data Governance and Infrastructure, (2) Measurements and Acquisition, (3) Advanced Analysis and Applications, (4) Software, Sharing and Publication, (5) Standards and Validation. We have an exciting line-up of speakers spanning multiple disciplines of science and engineering: James Carson (Kristen Harris’ NeuroNex, UT Austin), Dan Stanzione (TACC), Damian Eke (De Montfort University), Axel Brunger (Stanford University), Martin Paulus (Laureate Institute), Jason McLellan (UT Austin), Jingyu Liu (Georgia State), Jessica Church-Lang (UT Austin), Chen Yu (UT Austin), Angie Laird (Florida International University), Maryann Martone (University of California San Diego), Laura Colgin (The University of Texas at Austin), Franco Pestilli (UT Austin), Piotr Sliz (Harvard University), Yaroslav Halchenko (Dartmouth), Dora Hermes (Mayo Clinic), and David Kennedy (UMass Medical School). In addition to science and engineering, the workshop will host a panel discussion on “Challenges and opportunities for international-scale infrastructure to advance data sharing and equity” with representatives from the National Science Foundation, the National Institutes of Health, Kavli Foundation, Nature Publishing Group, and Wellcome Trust. Registration You can register for the workshop using this form <https://forms.gle/xkAv9dgErAGzXPodA>. The deadline is September 1st, 2022. Call for Posters and Lightning Talks You can submit your abstract here <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Travel Scholarships A few travel scholarships for trainees with underrepresented backgrounds and diverse geographical locations are available. Use the abstract submission form to apply for a travel scholarship <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Please visit www.neurosciencenetwork.org for more information. Best regards, Franco Pestilli, The University of Texas at Austin Susanne Ressl, The University of Texas at Austin Josiah Leong, University of Arkansas Sharlene Newman, University of Alabama Jessica Turner, Georgia State Ivo Dinov, University of Michigan *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

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Post-doc in Neurophysiology: Cortical control of free viewing eye movements
by Bisley, James 27 Jul '22

27 Jul '22

Apologies for cross-posting We invite applications for a post-doc position studying the cortical control of free viewing eye movements at UCLA. The work will include recording from the frontal eye field and superior colliculus as well as inactivation experiments in LIP and FEF. For more information about the sort of work done in the lab, check out our publications at https://www.ncbi.nlm.nih.gov/myncbi/james.bisley.1/bibliography/public/. UCLA is growing its visual neuroscience footprint and now is an exciting time to be in Los Angeles. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording, the use of open source recording systems and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu) Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Sergey Levine speaking on July 28 in Developing Minds global online lecture series
by Jochen Triesch 26 Jul '22

26 Jul '22

Dear colleagues, On July 28, the Developing Minds global online lecture series will feature Sergey Levine, UC Berkeley, USA: "From Reinforcement Learning to Embodied Learning“ https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 09:00 PDT (Pacific Daylight Time) 16:00 UTC (Universal Coordinated Time) 18:00 CEST (Central European Summer Time) 01:00 JST, July 29 (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Reinforcement learning provides one of the most widely studied abstractions for learning-based control. However, while the RL formalism is elegant and concise, real-world embodied learning problems (e.g., in robotics) deviate substantially from the most widely studied RL problem settings. The need to exist in a real physical environment challenges RL methods in terms of generalization, robustness, and capacity for lifelong learning -- all aspects of the RL problem that are often neglected in commonly studied benchmark problems. In this talk, I will discuss how we can devise a framework for learning-based control that is at its core focused on generalization, robustness, and continual adaptation. I will argue that effective utilization of previously collected experience, in combination with multi-task learning, represents one of the most promising paths for tackling these challenges, and present recent research in RL and robotics that studies this perspective. Bio Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more. Web: https://people.eecs.berkeley.edu/~svlevine/ 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

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Several PhD positions in clinical EEG and MEG at SFU, Vancouver
by Vasily Vakorin 26 Jul '22

26 Jul '22

Dear moderators, Can you please post this ad? Thank you. Several PhD positions in clinical EEG and MEG at SFU, Vancouver Several funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. Two Ph.D. projects will use clinical routine EEG recorded and evaluated in public hospitals in the process of neurological evaluation to predict patients’ clinical profiles. The other project will apply MEG to explore cortico-cerebellar brain networks in children with autism. Ph.D. candidates are expected to get experience with digital signal processing, multivariate statistics, predictive analytics (deep learning and classical machine learning) and data analysis with applications in clinical and cognitive neuroscience, and further develop scientific programming skills (Python). The ideal start date is September 2022, but in general it is flexible. For more information, please contact Dr. Sam Doesburg, Dr. Teresa Cheung, and Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin(a)sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia email: vvakorin(a)sfu.ca

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AMALEA workshop September 12-16
by Michael Biehl 26 Jul '22

26 Jul '22

On behalf of Prof. Dr. Nicolai Petkov (www.cs.rug.nl/~petkov) *International workshop on Applications of Machine Learning and Neural Networks* *AMALEA, 12-16 Sept 2022, Cetraro, Calabria, Italy* Dear colleagues and friends, There are a few rooms still available for AMALEA - APPLICATIONS OF MACHINE LEARNING International Workshop, Cetraro, Italy, September 12-16, 2022 http://amalea.web.rug.nl/index.html Venue: Grand Hotel San Michele on the West, Tyrrhenian sea coast of Southern Italy with a surrounding own land estate, golf course, private beach and a conference center. Photo gallery Aim: to provide a discussion forum for scientists from different disciplines where they can inspire and learn from each other, meet new people and form new research alliances. Format: a single track for talks from 10:00-12:30H and 17:00-19:30H in the conference center. Enough time for discussions outside the conference room: during breakfast on the terrace overlooking the Tyrrhenian sea, at lunch in the private beach restaurant, in the afternoon break on the private beach, at dinner on the hotel terrace and after dinner listening to the life piano music in the grand salon. Please visit the workshop website for further information and contact. -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Announcement: spiking neural networks workshop Nov 9-10, deadline Sept 28
by Goodman, Daniel F M 22 Jul '22

22 Jul '22

We will be holding the third incarnation of our annual workshop SNUFA<http://snufa.net/2022/> on spiking neural networks. This online workshop brings together hundreds of researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. Key information * The workshop will take place 9-10 November in the afternoons (central europe timezone). * Registration is free but mandatory. Click here to register<https://www.eventbrite.co.uk/e/snufa-workshop-2022-tickets-387490864607>. * Abstract submission deadline is 28 September. Click here to submit<https://forms.office.com/r/izX1Wimhy6>. * Final decisions by 12 October. Invited speakers * Charlotte Frenkel<https://chfrenkel.github.io/>, TU Delft * Priya Panda<https://intelligentcomputinglab.yale.edu/>, Yale * Yiota Poirazi<http://dendrites.gr/>, Institute of Molecular Biology and Biotechnology (IMBB) * Yonghong Tian<https://www.pkuml.org/>, Peking University Abstracts will be made publicly available at the end of the abstract submissions deadline for blinded public comments and ratings. We will select the most highly rated abstracts for contributed talks, subject to maintaining a balance between the different fields of, broadly speaking, neuroscience, computer science and neuromorphic engineering. Abstracts not selected for a talk will be presented as posters, and there is an option to submit an abstract directly for a poster and not a talk if you prefer. The workshop will also feature a debate with all speakers invited. The subject of the debate is yet to be decided - please do get in touch if you have a fun idea! To get a feel for the workshop, take a look at our previous incarnations on YouTube for 2020<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy> and 2021<https://www.youtube.com/playlist?list=PL09WqqDbQWHEqm1_3a620tKUKnC6FgBrG>. Many thanks, and hope to see you there, The SNUFA executive committee, Dan Goodman Friedemann Zenke Katie Schuman Tim Masquelier

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[jobs] 2 year independent Postdoc position in human centered AI (German required)
by Laurenz Wiskott 22 Jul '22

22 Jul '22

The Institute for Neural Computation of the Faculty of Computer Science is looking for a Postdoc (m,f,x) for 2 years, full-time, TVL E13 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 of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile and your own research group. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives. Your tasks: * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Advising corresponding PhD and student projects. * Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry Your profile: * Very good PhD in mathematics, computer science, engineering, or a related field * Solid knowledge in Artificial Intelligence / Machine Learning. * Good programming and mathematical skills * Good command of German. * Good organizational and communicative abilities. * Advantageous: + Experience in industry cooperations and interdisciplinary projects. + Programming skills in Python. Our offerings: * Challenging and varied tasks with a high degree of personal responsibility * Support from and cooperation with competent colleagues * A dynamic environment * Fair and flexible working hours * Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room) Additional information: The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). 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…. We are looking forward to receiving your application with the specification ANR: 800 until 08.08.2022, send by e-mail to the following address: laurenz.wiskott(a)rub.de extent: full-time duration: temporary beginning: as soon as possible application dateline: 08.08.2022 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. __________________________________________________________________________ Prof. Dr. Laurenz Wiskott room: NB 3/29 Institut für Neuroinformatik phone: +49 234 32-27997 Ruhr Universität Bochum fax: +49 234 32-14210 D-44780 Bochum, Germany https://www.ini.rub.de/PEOPLE/wiskott/ laurenz.wiskott(a)rub.de __________________________________________________________________________

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Reminder: SMILES workshop call extended 28th July
by Xavier Hinaut 21 Jul '22

21 Jul '22

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline extended: July 28th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. - Join our Discord: https://discord.gg/B8xbemQS <https://discord.gg/B8xbemQS> Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ <https://sites.google.com/view/smiles-workshop/> - ICDL conference website: https://icdl2022.qmul.ac.uk/ <https://icdl2022.qmul.ac.uk/> Xavier Hinaut on behalf of the SMILES workshop organisers: - Xavier Hinaut, Inria, Bordeaux, France - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, Hong Kong Polytechnic University, Hong Kong, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

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INCF IC survey on barriers to neuroscience data sharing and reuse - please forward
by Malin Sandström 21 Jul '22

21 Jul '22

The INCF <https://incf.org/> Infrastructure Committee <https://incf.org/about/governance/infrastructure-committee-ic> has created a brief (~2 min) anonymous survey to chart barriers to data sharing and reuse among neuroscience researchers worldwide. The results will be made public, and will be used by INCF and collaborators to develop strategies and activities for supporting the global neuroscience community. To have real impact, the survey needs to reach the broadest possible range of neuroscience researchers. We would be very grateful for your help in spreading the word to your friends and colleagues - the more responses we get, the more valuable and useful the survey will be! Take the survey <https://forms.gle/Gnq8Eb7eMFg1JxBJ7> *No personal data will be collected within this survey, but please note that the survey uses Google Forms; their privacy policies can be found here <https://policies.google.com/privacy?hl=en-US>. Follow the link to the survey if you agree with these policies. Best regards, Malin Sandström on behalf of the INCF Infrastructure Committee -- 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

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Registration for "Simulate with EBRAINS" training is *open*
by Lührs, Anna 21 Jul '22

21 Jul '22

Dear all, We are happy to announce that the registration for our workshop Simulate with EBRAINS How to use EBRAINS research infrastructure and Fenix resources for simulations on a scale from molecules via small and large networks of point or structured spiking neurons to simplified whole brain activity and virtual environments is now open! The workshop will take place virtually from 7-10 November 2022. Registration is free but required. The workshop is open to anyone, with sessions designed for beginners but also at a more advanced level. More information: https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242 <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242> We are looking forward to e-meet you “there”! Best regards, Anna Lührs on behalf of the organising team

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notice of UCSD postdoctoral position
by Scott Makeig 20 Jul '22

20 Jul '22

We have two postdoctoral positions open in projects to work with the very large and growing corpus of simultaneous EEG, eye tracking, and hand movement data being collected by the Child Mind Institute in New York. These projects are aimed at leading edge advances in EEG and concurrent EEG/behavioral (MoBI) analysis. Please contact me for more information. Basic information about the 1st position is below. Scott Makeig Postdoctoral Scholar - The Institute for Neural Computation (INC) (JPF03263) Job #JPF03263 INSTITUTE NEURAL COMPUTATION / Research / UC San Diego Apply now: https://apol-recruit.ucsd.edu/JPF03263/apply View this position online:https://apol-recruit.ucsd.edu/JPF03263 APPLICATION WINDOW Open date: July 19th, 2022 Next review date: Tuesday, Jul 26, 2022 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Jul 19, 2023 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. POSITION DESCRIPTION Drs. Scott Makeig and Arnaud Delorme of the Swartz Center for Computational Neuroscience (SCCN), at UC San Diego, are seeking a postdoctoral researcher to work on a potentially three-year compute-intensive neuroimaging project between SCCN (sccn.ucsd.edu) and the Child-Mind Institute of New York ( childmind.org) This Healthy Brain Network (HBN) project ( healthybrainnetwork.org) is collecting MR, eye tracking, and high-density EEG data from up to 10,000 children as they perform cognitive tasks and watch movie/animations. This collaboration, with Dr. Michael Milham (CMI/HBN) and colleagues, seeks to (1) develop a library of terms for the Hierarchical Event Descriptor system (HED-3G) (hedtags.org) and open-source tools for annotating events in movies to operate both standalone and in connection with our EEGLAB signal processing environment ( sccn.ucsd.edu/eeglab) running on Matlab. (2) After annotating the HBN short films, the HBM data will be exported to OpenNeuro (openneuro.org) under BIDS standards (bids.neuroimaging.io), and will be made available via the forthcoming NEMAR data portal (nemar.org) for processing on the XSEDE high-performance computer network via the Neuroscience Gateway (NSG, nsgportal.org) The HBN M/EEG and behavioral/eye tracking data will be analyzed at the source and source network levels (Akalin Acar & Makeig, 2021) using advanced applications of Independent Component Analysis (Makeig et al., 1996; Delorme et al., 2012), Bayesian source and network clustering using SCALE- optimized forward head models (Akalin Acar et al., 2016, 2020). Tools and pipelines developed in the project will be made available in EEGLAB and through NSG. Our neuroscientific goal is to model the development of cortical EEG source dynamics and associated eye gaze patterns during viewing of 'moving pictures', and to model and explore individual differences in these processes. The Office of Research Affairs and INC at UC San Diego is committed to academic excellence and diversity. The University of California employs about 5,963 postdoctoral scholars (approx. 1,200 at UCSD) who contribute to the academic community by enhancing the research and education programs of the university. The postdoctoral experience emphasizes scholarship and continued research training. UC's postdoctoral scholars bring expertise and creativity that enrich the research environment for all members of the UC community, including graduate and undergraduate students. Appointment durations vary depending on the length of the research project and availability of funding. Total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions. The International Union, United Automobile, Aerospace and Agricultural Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars. Applicants should submit their detailed statement of experience and specific qualifications related to this position with their application. Review of applications will commence on July 12, 2022 and will continue until a qualified candidate is selected. Salary is commensurate with qualifications and based on published University of California pay scales. QUALIFICATIONS Basic qualifications (required at time of application) Doctorate degree or its equivalent in fields related to Computational or Cognitive Neuroscience or Biomedical Engineering. Appointment is dependent on academic experience, scholarly achievements, skills and knowledge and needs of the project. Candidates must be able to work remotely as needed, but must be, or be able to be in residence in the United States. Preferred qualifications Postdoctoral or equivalent experience, and commitment to mentoring and research training service to build equitable and diverse scholarly environment. The successful applicant will have a strong background in signal processing and computer science, and an interest in contributing to cognitive neuroscience. -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott

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postdoctoral position in U.S.
by Scott Makeig 19 Jul '22

19 Jul '22

Drs. Scott Makeig and Arnaud Delorme of the Swartz Center for Computational Neuroscience (SCCN), at UC San Diego, are seeking a postdoctoral researcher to work on an innovative human neuroimaging project between SCCN (*sccn.ucsd.edu <http://sccn.ucsd.edu>*) and the Child-Mind Institute of New York ( childmind.org) This Healthy Brain Network (HBN) project (*healthybrainnetwork.org <http://healthybrainnetwork.org>*) is collecting MR, eye tracking, and high-density EEG data from up to 10,000 children as they perform cognitive tasks and watch movie/animations. This collaboration, with Dr. Michael Milham (CMI/HBN) and colleagues, seeks to (1) develop a library of terms for the Hierarchical Event Descriptor system (HED-3G) (*hedtags.org <http://hedtags.org>*) and open-source tools for annotating events in movies to operate both standalone and in connection with our EEGLAB signal processing environment (*sccn.ucsd.edu/eeglab <http://sccn.ucsd.edu/eeglab>*) running on Matlab. (2) After annotating the HBN short films, the HBM data will be exported to OpenNeuro (*openneuro.org <http://openneuro.org>*) under BIDS standards (bids.neuroimaging.io), and will be made available via the forthcoming NEMAR data portal (*nemar.org <http://nemar.org>*) for processing on the XSEDE high-performance computer network via the Neuroscience Gateway (NSG, *nsgportal.org <http://nsgportal.org>*). The HBN M/EEG and behavioral/eye tracking data will be analyzed at the source and source network levels (Akalin Acar & Makeig, 2021) using advanced applications of Independent Component Analysis (Makeig et al., 1996; Delorme et al., 2012), Bayesian source and network clustering using SCALE- optimized forward head models (Akalin Acar et al., 2016, 2020). Tools and pipelines developed in the project will be made available in EEGLAB and through NSG. Our neuroscientific goal is to model the development of cortical EEG source dynamics and associated eye gaze patterns during viewing of 'moving pictures', and to model and explore individual differences in these processes. See *https://apol-recruit.ucsd.edu/JPF03263 <https://apol-recruit.ucsd.edu/JPF03263>* for details. This job search will remain open until filled. Scott -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott

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Neuroscience cluster hire at Georgetown University
by Rebekah Evans 19 Jul '22

19 Jul '22

Assistant Professor on the Tenure Track, Neuroplasticity Across the Lifespan (Cluster Hire) -- Georgetown University Medical Center Georgetown University: Medical Center: School of Medicine Location: Washington, DC Open Date: Jun 16, 2022 Deadline: Oct 31, 2022 at 11:59 PM Eastern Time Application: https://apply.interfolio.com/108764 Description The Medical Center at Georgetown University (GUMC), known for its excellence in research and scholarship, is seeking applicants for a Faculty Cluster Hire (https://ofaa.gumc.georgetown.edu/gumc-cluster-hire-initiative/) consisting of six (6) tenure track positions at the rank of Assistant Professor broadly focused on the topic of “Neuroplasticity Across the Lifespan.” This cluster of new hires will join a vibrant neuroscience research community as we continue to expand our institutional priority areas of research on the Mind & Brain and Aging and Age-Related Diseases. This is the inaugural class of cluster hires as GUMC seeks to expand its ranks of tenure-line faculty. Plasticity is a fundamental ability of the nervous system and essential for its normal function. It occurs at the molecular level (e.g. genome and proteome), the level of the cell (e.g., changes in excitability and receptor signaling), the circuit (e.g., changes in connections), and at the systems and cognitive level (e.g., learning, development, memory, recovery and reorganization after injury). There are few, if any, processes more fundamental to the mind and brain than the remarkable ability to change and adapt. We welcome and encourage applications from candidates working on neuroplasticity at any level of analysis, with particular interests in individuals conducting interdisciplinary research relevant to: (1) neuroimaging across the lifespan and in disease, (2) neuroimmunology of brain-immune interactions, (3) cognitive function across the lifespan, (4) large scale omics and/or network modeling, (5) neurophysiology of brain plasticity, and (6) protein folding and misfolding in aging and neurodegeneration. New hires will join one of seven departments at GUMC (Biochemistry and Molecular & Cellular Biology; Biostatistics, Bioinformatics, & Biomathematics; Microbiology & Immunology; Neuroscience; Neurology; Pathology; or Pharmacology & Physiology), with the departmental appointment and consideration of joint or secondary appointments to be determined during the course of the interview and hiring process. They may also participate in various NIH T32-funded training programs including Interdisciplinary PhD Program in Neuroscience, Aging and Alzheimer's Research Training Program, Neural Injury and Plasticity (NIP) Training Grant, The Training Program in NeuroHIV, the Neuroscience of Language Training Program and other training programs, all of which recruit outstanding students and postdoctoral fellows. The cluster hires will receive mentorship at the department level and through GUMC's Mentoring Program for New and Early Career Faculty. Competitive space, startup funds, and salary will be provided. Georgetown University Medical Center is strongly committed to an environment that fosters inclusive excellence and diverse working and learning communities. We are particularly eager to consider candidates committed to our institutional mission to continue to build a thriving, collaborative, diverse, inclusive, and welcoming scholarly community. Qualifications • Candidates must meet the standards in scholarship, education, and service for a Tenure Line Assistant Professor ( https://georgetown.box.com/s/2krdblqefi11xugun8u3dyvcv5gbyjd6) Please note that these standards are illustrative and not all inclusive of the standards for this position. • Work on neuroplasticity at any level of analysis, with particular interests in individuals conducting interdisciplinary research relevant to: (1) neuroimaging across the lifespan and in disease, (2) neuroimmunology of brain-immune interactions, (3) cognitive function across the lifespan, (4) large scale omics and/or network modeling, (5) neurophysiology of brain plasticity, and (6) protein folding and misfolding in aging and neurodegeneration. Application Instructions Interested individuals should submit via Georgetown’s electronic platform: (i) a curriculum vitae, (ii) three representative publications, (iii) a statement that describes past engagement with and future commitment to diversity, equity and inclusion as applicable to your scholarship, teaching, mentorship, or service (no more than one-page) and (iv) names of three references and contact information. To facilitate blind review, applicants should also submit (v) an anonymized statement of three of your most significant contributions to science to date and future research interests (no more than three pages), without reference to information that would reveal identities, professional titles, journal titles or PhD granting institutions. Preference will be given to applications submitted before October 1, 2022. Rebekah Evans M.Ed., Ph.D. Assistant Professor Department of Neuroscience Georgetown University 3970 Reservoir Rd. NW, NRB EG31 Washington DC RebekahColemanEvans(a)gmail.com

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SMILES workshop call extended 28th July
by Xavier Hinaut 18 Jul '22

18 Jul '22

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline extended: July 28th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. https://discord.gg/B8xbemQS <https://discord.gg/B8xbemQS> Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut on behalf of the SMILES workshop organisers: - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, South China University of Technology, Guangzhou, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

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Reminder: Mathematics of Neuroscience Symposium, Crete, Greece, 24-25th September 2022
by Ruairidh McLennan Battleday 18 Jul '22

18 Jul '22

Dear All, Just a reminder that there is under a week left to apply to present at the Mathematics of Neuroscience symposium to be held this year in September on Crete, Greece. We have a great list of confirmed speakers and would love to hear from you too. Deadline for submission is the 23rd of July. ------------------ Symposium on the Mathematics of Neuroscience. Crete, Greece, 24-25th September 2022 (www.neuromonster.org) Two decades into the 21st century, can we claim to be any closer to a unified model of the brain? In this exploratory symposium, we invite submissions for short talks and posters presenting general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. This year’s theme is life-long learning and discovery. Keynote Speakers Professor Peter Dayan (Director, Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen) “Learning from scratch: Non-parametric models of task acquisition over the long run” Professor Andrew Adamatzky (Director, Unconventional Computing Laboratory, University of the West of England) “Fungal Brain” Symposium Chairs Professor Dan V. Nicolau (King’s College London) Dr Ruairidh McLennan Battleday (Princeton University) Confirmed Talks Professor Michael Levin (TUFTS) Professor Kobi Kremnitzer (University of Oxford) Professor Marc Howard (Boston University) Professor Kevin Burrage (Queensland University of Technology) Professor Carina Curto (Penn State) Professor Rahul Bhui (MIT) Dr Jonathan Mason (University of Oxford) Dr James Whittington (University of Oxford / Stanford) Dr Ilia Sucholutsky (Princeton University) Dr Sophia Sanborn (UC Berkeley, UC Santa Barbara, University of British Columbia) Dr Christina Merrick (UC San Francisco) Dr Timothy Muller (UCL) Dr Kamila Maria Jóźwik (University of Cambridge) Dr Chris Hillar (Awecom, Inc) Prize Talks Dr Aenne Brielmann (Max Planck Institute, Tübingen) Andrew Ligeralde (Redwood Center for Theoretical Neuroscience, University of California, Berkeley) The symposium will be held virtually or in-person on the island of Crete, Greece from the 24-25th of September 2022 (www.neuromonster.org) Submission is by 250-word abstract before the 23rd July 2022, emailed to the organizers Professor Dan V. Nicolau Jr (dan.nicolau(a)kcl.ac.uk) and Dr Ruairidh M. Battleday (battleday(a)princeton.edu)

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Two open PhD positions in Theoretical and Applied Neuroscience
by Alberto Mazzoni 18 Jul '22

18 Jul '22

Dear all, Two open positions to work with Prof. Silvestro Micera at The Biorobotics Institute of Scuola Superiore Sant'Anna https://www.santannapisa.it/en/institute/biorobotics/bioelectronics-and-bio… The PhDs will focus on brain decoding of hand functions for neuroprosthetic control and computational neuroscience and will take place in the framework of the of the Italian "Theoretical and Applied Neuroscience" PhD program to apply: https://isas.unicam.it/dni/phd-theoretical-and-applied-neuroscience. See you soon! Alberto Mazzoni -- */////////////////////////////////////////////////////* perché quello del populo è più onesto fine che quello de' grandi, volendo questi opprimere, e quello non essere oppresso N.M.

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ESI SyNC 8-9 Sept. 2022 - The ever-changing brain: Through development and evolution
by Esfandiari, Jahangir 15 Jul '22

15 Jul '22

We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference 2022 -9th ESI SyNC- will take place in-person this year, on September 8th and 9th at the Ernst Strüngmann Institute in Frankfurt, Germany. A hybrid format will be implemented, such that online participation is also possible. This year’s topic is "The ever-changing brain - through development and evolution". Eleven speakers will discuss their research and views on the development, organization, and evolution of the brain from a wide array of viewpoints: from anatomy to function, from the microcircuit to whole-brain network level, from the origins of cognition in single-celled organisms to complex social behavior in primates. This year’s conference is a great platform to learn about comparative neuroscience, organizational and evolutionary aspects of neural processing, and developmental mechanisms of cognitive and sensory systems. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session for which we welcome submissions. This year's exciting line-up: * Detlev Arendt (European Molecular Biology Laboratory EMBL, Heidelberg, GER<https://www.embl.org/groups/arendt/>) * Rosa Cossart (Inmed, Aix-Marseille University, Marseille, FR<https://www.inmed.fr/en/developpement-des-microcircuits-gabaergiques-cortic…>) * Onur Güntürkün (Ruhr-Universität Bochum, GER<https://www.rd.ruhr-uni-bochum.de/neuro/wiss/sprecher/guentuerkuen.html.en>) * Ileana Hanganu-Opatz (Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, GER<http://www.opatzlab.com/ileana-hanganu-opatz/>) * Suzana Herculano-Houzel (Vanderbilt University, Nashville, TE, USA<http://www.suzanaherculanohouzel.com/>) * Marcus Kaiser (University of Nottingham, UK<https://www.dynamic-connectome.org/>) * Pamela Lyon (University of Adelaide, AUS<https://www.adelaide.edu.au/directory/pamela.lyon>) * Rogier Mars (University of Oxford, UK and Donders Institute, Nijmegen, NED<http://www.rbmars.dds.nl/lab/lab.html>) * Rebecca Saxe (Massachusetts Institute of Technology, Cambridge, MA, USA<https://saxelab.mit.edu/>) * Georg Striedter (University of California, Irvine, CA, USA<https://cnlm.uci.edu/striedter/>) * Daniel Takahashi (Federal University of Rio Grande do Norte, Natal, BRA<https://ethogenesis.science/>) The conference will end with a panel discussion hosted by local experts Gilles Laurent and Alison Barker from the Max Planck Institute for Brain Research. Visit our website<https://www.esi-frankfurt.de/newevent/> to register for in-person or online attendance and to see the latest information on the conference. Space for in-person attendance is limited so go ahead and register as soon as possible! Best regards, The organizing committee Alexander Bird Peter Donhauser Jahangir Esfandiari Pascal Fries Christini Katsanevaki David Poeppel Wolf Singer Renata Vajda ----------------------------------------- Jahangir Esfandiari Ph.D. student, Vinck Department Ernst Strüngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society Deutschordenstraße 46 60528 Frankfurt am Main Germany E-Mail: jahangir.esfandiari(a)esi-frankfurt.de<mailto:cem.uran@esi-frankfurt.de> Internet: www.esi-frankfurt.de<http://www.esi-frankfurt.de/> Registered at Local Court Frankfurt am Main - HRB 84266 CEO: Prof. David Poeppel, PhD -----------------------------------------

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Call for submissions to the ICDL 2022 workshop on neurodiversity of cognitive feelings
by nagai.yukie＠mail.u-tokyo.ac.jp 14 Jul '22

14 Jul '22

Dear colleagues, We are going to organize the following workshop at IEEE International Conference on Development and Learning (ICDL 2022), which will be held in London, UK on September 12-15. We invite submissions of extended abstracts (1-2 pages) of ongoing research that focuses on one or several of our listed topics below. Accepted submission will be considered for symposium talks or as part of a poster session. Workshop on Neurodiversity of Cognitive Feelings https://sites.google.com/view/icdl-cognitive-feeling ICDL 2022 https://icdl2022.qmul.ac.uk [ Theme of the workshop ] From the general conception of our own subjective experiences, and from behavioural and neuroimaging research we know that affective emotional states can influence our cognitive functions. While the existence of this relationship is generally accepted, understanding the neural mechanisms that lead to individual diversity remains an open question that requires continued development of understanding and assessment of individual cognitive abilities. One of the suggested pathways includes the perception of emotional sensations that are experienced towards multisensory perception systems with a cognitive feeling. Cognitive feeling can be described as a sense of confidence, knowing, familiarity, distinguishing reality and fluency of information from multisensory perceptual experiences (Clore and Parrott, 1994; Arango-Muñoz 2014). Where emotional sensations, or affective feelings, are the result of perceived multisensory integration such as liking, disliking, or fear, arousal. Each kind of feeling is then providing information about different system. The affective feeling provides information on whether what is perceived is positive or negative with regards to our expectations. The cognitive feeling is the informational source of our expectations, knowing and understanding the multisensory information. The principles of cognitive feeling can be applied in developmental and cognitive robotics (Asada et al. 2009; Tani 2016), predictive coding theories (Friston & Kiebel 2009; Friston 2010), computational psychiatry (Montague et al. 2012), and behavioural studies through the verification of virtual reality-based approaches. [ Welcomed topics ] Affective Neuroscience Affective Computation Interoception Self-awareness and self-recognition Rubber hand illusion and bodily illusion Sense of agency Sense of presence Psychiatric disorder and developmental disorder Consciousness Brain-body interactions Metacognitive feeling [ Keynote speakers ] • Professor Sarah Garfinkel, Institute of Cognitive Neuroscience, University College London, UK • Dr Sophie Betka, The École polytechnique fédérale de Lausanne (EPFL), Switzerland • Professor Tony Prescott, Department of Computer Science, The University of Sheffield, UK [ Submission ] Extended abstract submission guidelines can be found on the workshop website (https://sites.google.com/view/icdl-cognitive-feeling) which should be sent to Sean D. Lynch (lynch.sean(a)mail.u-tokyo.ac.jp) by August 13, 2022. Please write in the subject line “ICDL 2022 neurodiversity workshop submission”. [ Important dates ] Submission deadline: August 13, 2022 Notification of acceptance: August 27, 2022 Workshop: September 12, 2022 [ Organizers ] Sean Lynch (The University of Tokyo) Keisuke Suzuki (Hokkaido University) Yukie Nagai (The University of Tokyo) — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

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Scientist - Neural Data Analysis at the Allen Institute
by Anton Arkhipov 11 Jul '22

11 Jul '22

Dear colleagues, A new exciting opportunity is open at the Allen Institute (Seattle, WA): https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Scientist - Neural Data Analysis – Systems Neuroscience We are seeking a Scientist to be an essential team member in our ongoing efforts to link transcriptomically defined cell types with the types of functional neural activity in vivo. We are generating systematic datasets of neural activity using 2-photon calcium imaging in the mouse cortex, followed up by spatial transcriptomics, in order to better understand cell-type-specific contributions to neural coding and circuit dynamics. The core responsibility for this position will be the computational analysis of these datasets, including co-registration between the calcium imaging and spatial transcriptomics data, linking these modalities for individual cells. The ideal candidate will have experience with analysis of imaging data, sensory physiology, machine learning, computer vision, and/or spatial transcriptomics. This position sits at the interface of neuroscience and data science, and good coding and analytical skills are a high priority. The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role. Please see details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Best regards, Anton. 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

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TEX2022: Detailed program and registration for online attendance
by Yamil Vidal 08 Jul '22

08 Jul '22

Dear all, We are pleased to share the detailed program for "TEX2022: Bringing together Predictive Processes and Statistical Learning": https://indico.sissa.it/event/59/timetable/#20220719.detailed <https://t.co/tgo3hNEOFF> Registration deadline is this Sunday, 10/7. Come join us! And if you cannot join us in person, you can still join us online (and free of charge). To attend online, please register here: https://sissa-it.zoom.us/webinar/register/WN_0qgRUCodT02MLGmmiQ4tiA Looking forward to meet you all, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

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UCL NeuroAI Annual Meeting on Monday, July 11, 1-5 pm BST
by Harsha Gurnani 05 Jul '22

05 Jul '22

The third *UCL NeuroAI Annual Meeting* will be held in *hybrid forma*t on *Monday, July 11, 2022*. The annual half-day UCL NeuroAI <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>event features speakers working across the spectrum of machine learning to neuroscience and aims to foster further collaboration and discussion. Join us from *1-5 pm BST* for an exciting set of talks and discussion on goals and prospects for NeuroAI. *Registration is free but needed for access to final details: * https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127 -------------------------------- *Event programme:* 1.00pm – Welcome *1.05pm – 2.35pm – Session one* *Kim Stachenfeld (DeepMind) *"Predictions and Relations for Biological and Artificial Reasoning" *Peter Latham (UCL)* Title: TBC *Blake Richards (McGill University)* "Contrastive introspection to rapidly identify contingencies in the environment" *2.35pm - 2.55pm – Comfort break* *2.55pm – 3.55pm – Session two* *Raia Hadsell (DeepMind)* "Embodied AGI and The Future of Robotics" *Panel discussion* *3.55pm - 4.00pm *– Closing remarks -------------------------------- For in-person attendees, the location is Jeremy Bentham Room, Wilkins Building, UCL. Please find links to map and accessibility information on the Eventbrite page <https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127> . We look forward to seeing you - in person or online! *Co-organizers:* Caswell Barry, Will De Cothi, Asaph Zylbertal, Padraig Gleeson, Harsha Gurnani (University College London), Sebastian Lee (Sainsbury Wellcome Centre and Imperial College London)

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[CFP, Deadline Approaching] MDPI Molecules (IF: 4.927) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu 04 Jul '22

04 Jul '22

(Apologies if you receive multiple copies of this CFP) MDPI Molecules (IF: 4.927, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: *31** July 2022* --------------------------- Guest Editors Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Sasitharan Balasubramaniam, University of Nebraska-Lincoln, USA ( sasi(a)unl.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Mr. Gavin Fu at: gavin.fu(a)mdpi.com <gavin.fu(a)mdpi.com>, molecules(a)mdpi.com

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SMILES workshop call for abstracts
by Xavier Hinaut 03 Jul '22

03 Jul '22

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline: July 18th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

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2022 SPARC FAIR Codeathon (prize pool of US$50,000)
by Elisabetta Iavarone 01 Jul '22

01 Jul '22

Dear colleagues, we are looking for exciting projects which use SPARC data <https://sparc.science/data?type=dataset> and/or SPARC tools and resources <https://sparc.science/data?type=sparcPartners&developedBySparc=true&skip=0> for the peripheral nervous system in novel ways, particularly in enhancing, demonstrating, or measuring the findability, accessibility, interoperability, or reusability (FAIR) of the data. *Total prize pool of US$50,000* -- including cash prizes and manuscript publication fees. Project selection has begun, but it’s not too late to suggest a novel topic for consideration. The Codeathon will take place virtually, on 6-8 August. You can find more information on the SPARC codeathon page <https://sparc.science/help/2022-sparc-fair-codeathon>. Codeathon projects should result in code, tools, datasets, or other outputs which are open and freely available. Some coding experience is beneficial, but not necessary, as part of the project involves writing exhaustive documentation of your code and the aim of your project. Examples of projects from earlier codeathons are available on GitHub <https://github.com/SPARC-FAIR-Codeathon>, and here <https://docs.google.com/document/d/1OG3I0Oy1HivQNKOipNOZazFYCFVsSSn4Qe_EpSc…> you can find more ideas, such as: - Quantitative Analysis of Image Data - Visualizing experimental protocols - Create a short course on data science using Jupyter Notebook and the SPARC Portal <https://sparc.science/> - Embed o²S²PARC <https://docs.osparc.io/#/> modelling and simulation functionality within the SPARC Portal <https://sparc.science/> Participation in the codeathon is free and you only need access to your own computer and reliable internet connection to work with your team. We are looking forward to receiving your proposals. Best, Elisabetta (on behalf of the organizing committee)

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Fully-funded PhD and PostDoc position (4 years) in Machine / Deep Learning in Translational Psychiatry, Charité - Universitätsmedizin Berlin, Germany
by Kerstin Ritter 01 Jul '22

01 Jul '22

Dear all, we offer one PostDoc position (4 years, 100%) and one PhD position (4 years, 75%) at Charité - Universitätsmedizin (Berlin, Germany) in Machine / Deep Learning in Translational Psychiatry in a newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Please see the job advertisements below. Please forward to potential candidates. Thanks, and best wishes, Kerstin (Ritter) ______________________________________________________________ Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry 1) PostDoc position (starting date: autumn 2022, 4 years; 100 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PostDoc for methods development at the intersection of explainable machine learning / deep learning and clinical neuroimaging / translational psychiatry. The position will be located in the research groups of Prof. Kerstin Ritter and Prof. John-Dylan Haynes at Charité Berlin. The main task will be to predict response to cognitive-behavioral psychotherapy in retrospective data and a prospective cohort of patients with internalizing disorders including depression and anxiety from a complex, multimodal data set comprising tabular data as well as imaging data (e.g., clinical data, smartphone data, EEG, structural and functional MRI data). An additional task will be to contribute to the organization and maintenance of the prospective cohort. This study will be one of several projects in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Requirements for the Postdoc: - Excellent master and PhD degree in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Excellent methodological skills (esp. machine learning, deep learning, explainable AI, medical image analysis) - Excellent programming skills in python - Excellent writing and communication skills (in English) - Strong interest in neuroscientific and psychiatric research 2) PhD position (starting date: autumn 2022, 4 years; 75 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PhD student for analyzing structural and functional MRI data in patients with internalizing disorders (e.g., depression and anxiety) using machine learning methods. An additional task will be the acquisition of fMRI data together with other PhD students in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). The PhD student will be supervised by Prof. Kerstin Ritter, Prof. Ulrike Lüken and Prof. Norbert Kathmann. Requirements for the PhD student: - Excellent master in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Very good methodological skills (esp. machine learning, deep learning, statistics, neuroimaging) - Very good programming skills in python - Excellent writing and communication skills (in English and German) - Strong interest in neuroscientific and psychiatric research Please send your application (motivation+CV+references) in one pdf-file (in English or German) asap to: Prof. Dr. rer. nat. Kerstin Ritter Charité - Universitätsmedizin Berlin Department of Psychiatry and Psychotherapy Bernstein Center for Computational Neuroscience Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin E-Mail: kerstin.ritter(a)charite.de Webpage: https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…

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NEURON School on basic Computational Neuroscience 12-16 September 2022 ITALY
by Sergio Solinas 30 Jun '22

30 Jun '22

**Apologies for cross-posting** [All details about this school can be found online at The NEURON School < https://www.neuronschool.org/>] The organisers are excited to announce the third edition of The NEURON School on Computational Neuroscience. This *one-week* school will introduce the basic use of the simulation environment NEURON and related software to build brain models from experiments to their applications. - The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. - The school will cover how these models can be constructed based on the principles of biological tissue electrophysiology. We welcome applications from full graduate, PhD students, and PostDocs in a variety of fields from biology, neurobiology and psychology, to physics, engineering, and mathematics, and industry professionals with a relevant background. Applicants are expected to have a good background in their discipline, an interest in neuroscience, and some knowledge (even basic) of computer programming. We will soon post updates and a flyer about the school organisation. *Format*: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by presentations of Senior Scientists. *Date and Location:* September 12th to September 16st, 2020 at the Pula Research Centre < https://www.sardegnaricerche.it/index.php?xsl=376&s=13&v=9&c=3874&nc=1> within the Science and Technology Park of Sardinia, Cagliari - Sardinia (ITALY). Application Deadline: 15 August 2022 *Applications*: Please visit https://www.neuronschool.org/ where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas(a)uniss.it or enrico(a)uniss.it We look forward to your registration and to welcoming you to the Pula Research Centre!

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[JOBS] PhD @ Italian Institute of Technology, Ferrara
by Alessandro D'Ausilio 30 Jun '22

30 Jun '22

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), jointly with the University of Ferrara, are opening up to 8 PhD positions starting in November 1st, 2022. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in human patients during awake Neurosurgery - Human non-invasive neurophysiology of speech and sensorimotor communication by means of TMS, EEG, EMG and MoCap Who: physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/it/ctnsc-unife <https://www.iit.it/it/ctnsc-unife>) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience <http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience> Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection <http://www.unife.it/studenti/dottorato/concorsi/selection> Application website: https://pica.cineca.it/unife/dottorati-38-ntn/ <https://pica.cineca.it/unife/dottorati-38-ntn/> DEADLINE: July 25rd, 2022

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Workshop on State of the Art Methods for Brain Data Analysis
by Dimitris Pinotsis 28 Jun '22

28 Jun '22

State of the Art Methods for Brain Data Analysis- A workshop for computational, theoretical and cognitive neuroscientists taking place on July 6 at City— Universıty of London This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will be of interest to computational and cognitive neuroscientists who are keen on brain imaging, computational psychiatry and network-level dynamics. Speakers: - John Ashburner, UCL - Aldo Faisal, Imperial - Gene Fridman, Johns Hopkins - Alan Jasanoff, MIT - Marcus Kaiser, Nottingham - Mark Woolrich, Oxford Hybrid format (f2f and online) July 6th, 2022 09:50 - 17:00 B200 Lecture Theatre, University Building, 2nd Floor, City, University of London Read more here: About | Brain Data Analysis (braindatanalysis.wixsite.com) Registration is free. To register, please fill in this form: . For any questions, please email braindatanalysis(a)gmail.com

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2022 Western-Fields School in Networks and Neuroscience
by Lyle Muller 27 Jun '22

27 Jun '22

Applications are invited for a one-week school at the interface of mathematics and neuroscience. With similar scope as the 2021 joint seminar series<http://www.fields.utoronto.ca/activities/21-22/western-fields>, the Western-Fields Summer School in Networks and Neuroscience<https://uwo.ca/academy/themes/neural_networks/2022_western_fields_school.ht…> will bring together advanced undergraduate students, graduate students, and postdocs for a week of training in methods for networks, dynamics, learning, and modeling biological neural networks. Lectures will cover graph theory, network dynamics, advanced algebra, and machine learning. Students will receive intensive training ranging from an introduction to advanced methods in these fields. This summer school will be held September 19-23 on the campus of Western University (London, Ontario), with a closing session at the Fields Institute (Toronto, Ontario). Applications should consist of CV and one-page statement of interest, submitted as a single PDF file to Lyle Muller (lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca>) and Ján Mináč (minac(a)uwo.ca<mailto:minac@uwo.ca>). Review of applications will begin on 6 July 2022. Our team is committed to fostering diversity in mathematics and neuroscience, and a goal of this summer school is to encourage diverse candidates with quantitative training to consider problems in this growing field. Any interested applicants can write to the teaching team with questions about the program. -- Lyle Muller http://mullerlab.ca<http://mullerlab.ca/>

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2022 Western Academy for Advanced Research Postdoctoral Competition
by Lyle Muller 27 Jun '22

27 Jun '22

The Western Academy for Advanced Research<https://uwo.ca/academy/index.html> is launching a competition for highly motivated postdoctoral researchers<https://uwo.ca/academy/themes/neural_networks/2022_postdoctoral_competition…> at the interface of mathematical modeling and neuroscience. Successful candidates will join a new, research-intensive program at Western University. The Western Academy’s opening Theme will develop connections between mathematics and neuroscience, leveraging mathematical approaches to answer open questions in neuroscience. Motivated postdoctoral candidates are encouraged to submit application materials, including a CV, short research statement, and contact information for three academic references, to Lyle Muller (lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca>) and Ján Mináč (minac(a)uwo.ca<mailto:minac@uwo.ca>). Postdocs will receive competitive stipends and support for their academic careers. Review of applications will begin 15 July 2022. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write the PIs directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca

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Postdoc in neural data analysis
by Mark Humphries 26 Jun '22

26 Jun '22

A 3 year postdoc post is available in the lab of Prof Mark Humphries, at the University of Nottingham (UK) In this project, our aim is to test the overarching hypothesis that movement transitions are encoded by the same neural population reconfiguring its joint activity, for both rhythmic and discrete movements. We will tackle this question using newly-available population recordings during rhythmic movement transitions in Aplysia and discrete arm movement transitions in monkeys, The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes information about and actions in the world. For more see: https://www.humphries-lab.org Queries: mark.humphries(a)nottingham.ac.uk Deadline: 5th September Full details, and to apply: https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2 [http://jobs.nottingham.ac.uk/org/images/socialmedia.png]<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Job Vacancy at the University of Nottingham: Research Associate/Fellow (Fixed term)<https://jobs.nottingham.ac.uk/Vacancy.aspx?id=27005&forced=2> Applications are invited for a postdoctoral research fellow to join the Humphries’ group on the MRC-funded project “Uncovering the neural basis of movement transitions”. The Humphries’ group researches fundamental... jobs.nottingham.ac.uk Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike 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.

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Tutorial and Workshop on Neuron-Glial Interactions at the CNS*2022 (Melbourne, Australia)
by De Pitta, Maurizio 24 Jun '22

24 Jun '22

Dear colleagues, Please mark them on your calendar. Share and disseminate into your networks. We are organizing a Tutorial and a Workshop on Computational Methods and Models of Neuron-Glial interactions, at the forthcoming Annual Meeting of the Organization of Computational Neurosciences (CNS*2022), in Melbourne, VIC, Australia. Both events will be in person. ***Tutorial on Models of Neuron-Glial Interactions*** Melbourne Convention and Exposition Center (MCEC) July 16, 2022; 9AM -- 6.15PM Session 1 (morning): Oligodendrocyte modeling Daniel Park, Afroditi Talidou, Jeremie Lefebvre (University of Ottawa, Canada) Session 2 (morning): Astrocytic Calcium modeling Hugues Berry (INRIA Lyon, France) Session 3 (afternoon): Tripartite synapses and neuron-glial networks Maurizio De Pitta (Krembil Research Institute, Canada) Session 4 (afternoon): Ionostasis at the tripartite synapses Marinus Toman, Liam McDaid (University of Ulster, Northern Ireland, UK) Please visit the Tutorial Website for more info: https://sites.google.com/view/cns2022-tutorial-on-modeling-n/home ***Workshop on Emerging Perspectives and Models on Neuron-Glial Interactions*** Melbourne Convention and Exposition Center (MCEC) July 19, 2022; 2PM -- 6PM July 20, 2022; 8:30AM -- 7:30PM Day 1: Hugues Berry, INRIA Lyon, France Corrado Cali, University of Turin, Italy David Gonsalvez, Monash University, Australia Leonid Savtchenko, University College London, The United Kingdom Tanya Tchumatchenko, University of Mainz Medical Center, Germany Day 2: Maurizio De Pittà, Krembil Research Institute, Canada Adi Doron, The Hebrew University of Jerusalem, Israel Jeremie Lefebvre, University of Ottawa, Canada Liam McDaid, Ulster University, Northern Ireland, The United Kingdom Ciaran Murphy-Royal, Université de Montréal, Canada Marlene Hao, The University of Melbourne, Australia Daniela Pietrobon, University of Padua, Italy Christine R. Rose, Heinrich Heine University, Germany Annalisa Scimemi, State University of New York at Albany, USA Please visit the Workshop Website for more info: https://sites.google.com/view/cns22-ngi-iworkshop/home To attend the Tutorial and the Workshop, Registration through the CNS*2022 is required: https://www.cnsorg.org/cns-2022-registration-fees We are looking forward to seeing you in Melbourne. Thank you for your consideration. Maurizio ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit our website here<https://www.uhn.ca/PatientsFamilies/Patient_Safety_Advocacy/Privacy/Documen…> to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Reminder: Free online CNS*2022 satellite tutorials: June 27--July 1
by Ankur Sinha 23 Jun '22

23 Jun '22

Dear all, Apologies for the cross-posts. A final reminder of next week's CNS*2022 free online satellite tutorials (from June 27--July 1): https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… Free registration remains open at: https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-reg… To prevent spam/zoom crashing, links to zoom meetings for the tutorial sessions will be limited to registrants only. Therefore, while registration is free, it is required. The satellite tutorials feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML Please spread the word, and we look forward to seeing you there! -- 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

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Research assistant position in systems neuroscience (sleep and memory). Florida, USA
by Carmen Varela 23 Jun '22

23 Jun '22

Hi, We have an opening for a research assistant in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate sleep oscillations that correlate with memory consolidation and sleep quality. Sleep disruption is a common symptom of neurodegenerative and mental disorders and is thought to be linked to their progression. Thalamocortical activity during sleep is critical for the contribution of sleep to memory consolidation, but it is not clear what oscillatory and cellular activity patterns relate to sleep quality and memory consolidation. The candidate will assist with administrative and scientific aspects of this project, using rats to investigate the patterns of thalamic activity that promote healthy sleep function and memory consolidation. More generally, the lab uses state-of-the-art techniques to investigate the neural network mechanisms of cognitive behavior, with a focus on learning and memory and on the role of the neuronal circuits formed by the thalamus. *Keywords*: behaving rodent extracellular electrophysiology, sleep oscillations, learning and memory. Start date September 2022 (some flexibility). **** Requirements **** Interested candidates please send your curriculum and a brief description of your research interests to carmenv.work(a)gmail.com We are looking for team-oriented candidates, ideally with prior experience in rodent behavior. Candidates selected for an interview will be asked to provide contact information for two references. **** What you get **** · Work on exciting and impactful projects to understand the contribution of thalamic activity to sleep and memory. · Develop research skills using state-of-the-art systems neuroscience methods in rodents. · Mentorship, supportive lab environment, in a rapidly growing neuroscience campus. *Location**:* The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. Best, Carmen Varela, Ph.D. Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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Registration for the Bernstein Conference now open
by Bernstein Communication 23 Jun '22

23 Jun '22

*** Apologies for cross-posting *** Dear colleagues, the registration for the Bernstein Conference 2022 (Sept 13-16, 2022) is now open. Register before July 24, 2022 to benefit from the Early Bird rate. Members of the Bernstein Network receive an additional discount. Register here: https://bit.ly/BC22_reg To foster the delightfully high participation of young scientists, we have travel grants available for students, doctoral candidates and Postdoc members of the Bernstein Network: Learn more here: https://bit.ly/BC_TravelGrants -- Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/en/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for abstract submission: July 18, 2022 * Early Bird registration: July 24, 2022 * Late registration: August 28, 2022 * Onsite registration possible ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

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Apply now for EITN Fall School in Computational Neuroscience 2022
by Zélie Tournoud 22 Jun '22

22 Jun '22

EITN School in Computational Neuroscience, 2022 session EITN School in Computational Neuroscience is an intensive computational neuroscience training aimed at neuroscience students and early-career researchers. It is supported by the Human Brain Project and is an oppotunity to learn from researchers from all over Europe. The 2022 edition will take place from *21 to 30 September 2022* in Paris, France. Attendance is selective as seats are limited. *Applications are open until 23 June 2022.* *Information : https://eitnschool2022.sciencesconf.org* Organizers: Sacha Van Albada (Forschungszentrum Jülich), Albert Gidon (Humboldt-Universität zu Berlin), Alain Destexhe (CNRS), Matteo di Volo (Cergy Université), Spase Petkoski (Aix-Marseille Université), Gorka Zamora-Lopez (Universitat Pompeu Fabra). Faculty: Nicolas Brunel Hermann Cuntz Gustavo Deco Alain Destexhe Matteo di Volo Albert Gidon Jennifer Goldman Moritz Helias Viktor Jirsa Maurizio Mattia Spase Petkoski Bartosz Telenczuk (to be confirmed) Sacha Van Albada Gorka Zamora-Lopez Damien Depannemaecker Domenico Guarino To be completed Who is this training for? * Neuroscience (and related fields) students and related * Post-doctoral/early-career researchers Why join? * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals o Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefor a selection will be performed by a scientific organizing committee. Applications are open until 23 June 2022. *Send your application by including a resume (CV) and cover letter (explaining motivations t**o join) by email at **eitn(a)neuro-psi.fr**.* You will receive a confirmation your application has be received within 5 working days or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)neuro-psi.fr for any question or assistance. Selection criteria include: * Working or studying in neuroscience or related * Experience in python programming would help * Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply Practical information: * If selected, registration fee to attend the training is 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location: Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris. This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. __________ * * *Zélie Tournoud*/// EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org>

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Reminder registration deadline: FENS satellite symposium "Understanding Neural Circuit Evolution" (Jul 7-8, 2022, in Paris and online)
by von Behren, Christina 22 Jun '22

22 Jun '22

Dear all, The deadline for registration for the FENS satellite symposium "Understanding Neural Circuit Evolution" to be held in Paris and online on July 7-8 is fast approaching. Registration is free but mandatory, please see below and register by tomorrow, June 23. We are very much looking forward to meeting you in Paris and/or online! FENS satellite symposium "Understanding Neural Circuit Evolution" (July 7-8, 2022, Paris and online) The FENS satellite symposium "Understanding Neural Circuit Evolution" will present exciting lines of research into neural circuit evolution from paleobiology to computational neuroscience and to the molecular and genetic generation of neuro-behavioral diversity. Organized by the German Research Foundation Priority Program "Evolutionary Optimization of Neuronal Processing"<https://www.uni-goettingen.de/de/618311.html>, the symposium is designed to make the full spectrum of progress in neural circuit evolution accessible to a wide neuroscience audience. We aim to build bridges between computational, experimental, and paleobiological research approaches, and to foster integrative studies of neural circuit evolution. On July 7 the event starts with an online poster session. On July 8 there are exciting talks on the program, e.g. by Mitya Chklovskii (Flatiron Institute, New York, USA), Maude Baldwin (MPI Biological Intelligence, Seewiesen, Germany), and Lucia Prieto Godino (Francis Crick Institute, London, UK). The symposium is designed as a hybrid event. Registration will be open until June 23, 2022. For further information on program and registration see https://www.uni-goettingen.de/de/660201.html

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International Symposium on AI and Brain Science 2022: Registration deadlines June 23 on-site and June 30 online
by Kenji Doya 21 Jun '22

21 Jun '22

The registration deadline for the International Symposium on AI and Brain Science 2022 is June 23 for on-site and June 30 for online participation. http://www.brain-ai.jp/symposium2022/ The symposium is held on July 4th and 5th at Okinawa Institute of Science and Technology in a hybrid format as a satellite event for Neuro2022: https://neuro2022.jnss.org/en/ Tentative Program: time in JST=GMT+9 <Monday July 4th> 9:00 Registration 9:40 Opening: Kenji Doya 10:00-12:00 Session 1: AI for Brain Science Maneesh Sahani (Gatsby Unit) Angela Langdon (NIMH) Xiao-Jing Wang (NYU) Terrence Sejnowski (Salk Institute) 12:00-14:00 Lunch and Poster Session 14:00-16:00 Session 2: Biological and robotic motor control Chair: Hiroaki Gomi Tetsuya Ogata (Waseda U) Tom Macpherson (Osaka U) Jun Izawa (Tsukuba U) Rieko Osu (Waseda U) 16:30-18:30 Session 3: Brain-inspired AI Jun Tani (OIST) Masashi Sugiyama (RIKEN AIP) Yutaka Matsuo (U Tokyo) Aida Nematzadeh (DeepMind) <Tuesday July 5th> 10:00-12:00 Session 4: AI, Brain, and Society Ryota Kanai (ARAYA) Yoshua Bengio (U Montreal) Ai Koizumi (Sony CSL) Patricia Churchland (Salk Institute) 12:00-13:00 Lunch and Poster Session 13:00-15:00 Session 5: Natural and artificial consciousness Chair: Naotsugu Tsuchiya Hideaki Shimazaki (Hokkaido U) Keisuke Suzuki (Hokkaido U) Makiko Yamada (QST) Tadahiro Taniguchi (Ritsumeikan U) 15:30-17:30 Session 6: Unifying models of cognition Chair: Tadahiro Taniguchi Misako Komatsu (Tokyo Tech) Karl Friston (UCL) Yuichi Yamashita (NCNP) Matthew Botvinick (DeepMind) 17:30-18:00 General Discussion - Closing Co-organizers: Kenji Doya (Okinawa Institute of Science and Technology) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Takao Hensch (The University of Tokyo International Research Center for Neurointelligence) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Tadahiro Taniguchi (Ritsumeikan University) Naotsugu Tsuchiya (Monash University) Secretariat: Neural Computation Unit, OIST: ncus(a)oist.jp<mailto:ncus@oist.jp> ---- Kenji Doya <doya(a)oist.jp<mailto:doya@oist.jp>> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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how can we improve model discovery?
by McDougal, Robert 19 Jun '22

19 Jun '22

For over 25 years, ModelDB (modeldb.yale.edu<http://modeldb.yale.edu>) has provided a model sharing and discovery service for the computational neuroscience community. We’re in the process of revising our website, and we’d like to make sure we address the evolving needs and expectations of the community. Personally, I’m interested in making it easier to do analysis across the collection of models. What about you? Whatever your career stage is, please help ModelDB help you by filling out a brief survey: https://yalesurvey.ca1.qualtrics.com/jfe/form/SV_3EkPlMkOUDV5xgW Thanks for your help, Robert McDougal ModelDB

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Call for Papers: Mathematics of Neuroscience Symposium, Crete, Greece, 24-25th September 2022
by Ruairidh McLennan Battleday 17 Jun '22

17 Jun '22

------------------ Symposium on the Mathematics of Neuroscience. Crete, Greece, 24-25th September 2022 (www.neuromonster.org) Two decades into the 21st century, can we claim to be any closer to a unified model of the brain? In this exploratory symposium, we invite submissions for short talks and posters presenting general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. This year’s theme is life-long learning and discovery. Keynote Speakers Professor Peter Dayan (Director, Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen) “Learning from scratch: Non-parametric models of task acquisition over the long run” Professor Andrew Adamatzky (Director, Unconventional Computing Laboratory, University of the West of England) “Fungal Brain” Symposium Chairs Professor Dan V. Nicolau (King’s College London) Dr Ruairidh McLennan Battleday (Princeton University) Invited Talks Professor Kobi Kremnitzer (University of Oxford) Professor Marc Howard (Boston University) Professor Kevin Burrage (Queensland University of Technology) Professor Rahul Bhui (MIT) Dr Jonathan Mason (University of Oxford) Dr James Whittington (University of Oxford / Stanford) Dr Ilia Sucholutsky (Princeton University) Dr Sophia Sanborn (UC Berkeley, UC Santa Barbara, University of British Columbia) Dr Christina Merrick (UC San Francisco) Dr Timothy Muller (UCL) Prize Talks Dr Aenne Brielmann (Max Planck Institute, Tübingen) Andrew Ligeralde (Redwood Center for Theoretical Neuroscience, University of California, Berkeley) The symposium will be held virtually or in-person on the island of Crete, Greece from the 24-25th of September 2022 (www.neuromonster.org) Submission is by 250-word abstract before the 23rd July 2022, emailed to the organizers Professor Dan V. Nicolau Jr (dan.nicolau(a)kcl.ac.uk) and Dr Ruairidh M. Battleday (battleday(a)princeton.edu) ------------------

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ASTROTECH PhD Position on Ion diffusion in the Neuron-glial vascular unit @BCAM (Spain) [Immediate hiring]
by Maurizio De Pitta 16 Jun '22

16 Jun '22

Dear colleagues, Please share and disseminate into your networks, department, and Institute. The Basque Center for Applied Mathematics (BCAM), located in Bilbao (Spain), is recruiting a Ph.D. student for a 3-year project in Computational Neurobiology within the framework of the H2020 ASTROTECH International Training Network (http://www.astrotechproject.eu/) The student will be based in Bilbao (Spain) and enroll in the Graduate Program in Neuroscience of the Faculty of Medicine of the University of the Basque Country. They will work under my supervision and that of Christophe Bernard (Aix-Marseille University, France). The project revolves around modeling the neuron-glial-vascular unit, focusing on epilepsy and neurodegeneration and emphasizing clinical technologies. This is an excellent opportunity for ambitious and brilliant candidates to gain expertise in the emerging field of computational modeling of neuron-glial interactions in an exceptional international setting. The average annual salary for this position is 28k-30k EUR/yr and comes with benefits and a generous budget for traveling to scientific events related to the project. Hiring is immediate, with a planned starting date of Sep-Oct 2022. Please prompt anyone who could be interested in reaching out to me at this email address or maurizio.depitta(a)uhnresearch.ca. More information about the Ph.D. project, along with eligibility requirements, can be found here: https://euraxess.ec.europa.eu/jobs/800279 Applications must be submitted here: http://www.bcamath.org/en/research/job/phd-position-for-h2020-project-astro… The application deadline is July 15, 2022, at 2 pm CET (UTC+2). Thanks for your consideration. Maurizio ----- Maurizio DE PITTA Scientist, Krembil Research Institute External Scientific Member, Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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Community feedback requested: the Neo object model
by INCF 16 Jun '22

16 Jun '22

*Call for community feedback on the Neo object model for electrophysiology and optophysiology data - open until August 14, 2022* INCF is taking a leading role in endorsing and promoting standards and best practices (SBPs) for global neuroscience <https://link.springer.com/article/10.1007/s12021-020-09509-0>, as part of our mission to promote data reuse and reproducibility in brain research. SBP’s are nominated by the community and reviewed by the INCF SBP Committee according to our criteria <https://incf.org/incf-standards-review-criteria-v20> for a FAIR community standard. If they meet our criteria, we put them up for 60 days of community review to gauge the level of user support and to identify possibilities for improvement and potential weaknesses. For the next 60 days (Closing date: August 14, 2022), we are seeking community feedback on whether we should endorse the Neo object model <https://www.incf.org/sbp/neo> as a standard. Neo <https://www.incf.org/sbp/neo> is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5. Should Neo be endorsed as a standard? Comments open until Aug 14: f1000research.com/documents/11-658 Read more about Neo: Project page <https://neuralensemble.org/neo/> Documentation <https://neo.readthedocs.io/en/stable/> Github <https://github.com/NeuralEnsemble/python-neo> Paper <https://www.frontiersin.org/articles/10.3389/fninf.2014.00010/full>

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Last Call: Abstract submission for the Bernstein Conference
by Bernstein Communication 14 Jun '22

14 Jun '22

**Apologies for cross-posting** Dear colleagues, The deadline to submit abstracts to be considered as contributed talks at the Bernstein Conference is tomorrow, June 15. Abstract drafts created until tomorrow can be finalized until Sunday, June 19. Submit your abstract here: https://bit.ly/BC_submission Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for submission of abstracts to be considered for Contributed Talks: June 15, 2022 * Deadline for abstract submission: July 18, 2022 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

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State of the Art Methods for Brain Data Analysis
by Dimitris Pinotsis 14 Jun '22

14 Jun '22

State of the Art Methods for Brain Data Analysis- A workshop for computational, theoretical and cognitive neuroscientists taking place on July 6 at City— Universıty of London.versıty of London. . This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will be of interest to computational and cognitive neuroscientists who are keen on brain imaging, computational psychiatry and network-level dynamics. Registration is free. To register, please fill in this form. For any questions, please email braindatanalysis(a)gmail.com Further details: This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will review techniques that allow us to access large-scale brain networks, based on deep neural networks, dynamical systems and probabilistic inference. It will also provide updates about how recent developments allow us to map and modulate brain activity and understand how information processing breaks down in disease.

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PhD and postdoctoral positions at the Technical University of Munich
by Gjorgjieva, Julijana 14 Jun '22

14 Jun '22

We invite applications for PhD and postdoctoral positions at the Computation in Neural Circuits group led by Prof. Julijana Gjorgjieva at the Technical University of Munich in Germany. Using mathematical and computational approaches, we study how neurons and the synaptic connections between them tune their properties during early development and young life to ensure appropriate network dynamics and behavior. Another interest relates to how adult function and behavior emerge from a diversity of mechanisms, including synaptic plasticity, sensory noise, and biophysical constraints. We address these questions at different spatial scales, from the organization of individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these processes during development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of interest. We collaborate with different experimental research groups in the US, UK, Netherlands, Spain and Germany and benefit from interactions with the strong neuroscience community in Munich, including the SyNergy Cluster of Excellence. Our applications range across animals from rodent to Drosophila to reptiles and humans. Successful applicants can choose from a range of projects including theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Open topics include: - Formation and co-organization of excitatory and inhibitory synaptic inputs on dendrites, including dendritic growth, receptive field formation and alignment, and emergence of tuning. - Development of biophysical models of synaptic plasticity at the cellular and subcellular levels and investigation of their functional consequences. - Reliable top-down modulation of network dynamics during synaptic plasticity, including interactions between different information streams. - Mechanistic dissection of cortical computations driven by different cell types, especially interneurons. - Modeling network attractor states of resilience, and synaptic and homeostatic plasticity processes to rebalance network states after perturbation. Please check our website for recent publications: https://www1.ls.tum.de/compneuro/publications/ Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and excellent programming skills (Julia, Python, Matlab or C/C++). The positions can start at any time. For more information or an informal discussion, email me at gjorgjieva(a)tum.de<mailto:gjorgjieva@tum.de>. To apply for these positions, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a paper or code 4. Contact details for 2-3 referees 5. Transcripts (if applying for a PhD position) ----------------------------------------- Julijana Gjorgjieva, PhD Associate Professor of Computational Neuroscience Technical University of Munich Maximus-von-Imhof-Forum 3 85354 Freising, Germany Research Group Leader Max Planck Institute for Brain Research Frankfurt, Germany office: +49 8161 71 2709 https://www1.ls.tum.de/compneuro

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invitation to join an open collaborative comp neuro research project
by Goodman, Daniel F M 13 Jun '22

13 Jun '22

Hi everyone, We have started a new collaborative, open comp neuro research project (in the spirit of the Polymath project<https://en.wikipedia.org/wiki/Polymath_Project> that was a huge success in mathematics). Everyone is invited to participate, and anyone who does contribute will get to be an author. Some details below, but you can just jump straight in to the website and take a look here: https://comob-project.github.io/snn-sound-localization/ The idea is to experiment with doing science in the spirit of collaboration rather than competition. We've set up an initial research topic and some code/results, and then you choose what direction you want to take, get feedback from others and give feedback to them on their ideas. We have an infrastructure that makes all contributions appear automatically on the website. We're running a discussion group, and planning local workshops. The first one of those will be in Paris on July 8th, just before FENS. This project grew out of my Cosyne tutorial<https://neural-reckoning.github.io/cosyne-tutorial-2022/> on using machine learning methods with spiking neural networks (surrogate gradient descent). It's a relatively easy topic to get into and a lot of low hanging fruit to pick, so hopefully ideal for this approach. If you watch the tutorial video and run the notebooks, you're already at the boundary of new research. Contributing is super easy. Go to our GitHub repo, open it up and start running the code on Google Colab (one click, no local installation required). Use one of the existing notebooks to start your own, commit the changes (via pull request for the first one), and your notebook automatically appears on the website. Detailed instructions on the website<https://comob-project.github.io/snn-sound-localization/Contributing.html>. Thanks, and hope to see your contributions and discussion soon! Dan Goodman<http://neural-reckoning.org/> Tomas Fiers<https://tomasfiers.net/> Marcus Ghosh<https://neural-reckoning.org/marcus_ghosh.html> Rory Byrne<https://twitter.com/ryrobyrne>

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08 July 22 FENS satellite event: 'EBRAINS Research Infrastructure Symposium'
by Zélie Tournoud 13 Jun '22

13 Jun '22

Dear everyone, Please find below the announcement of EBRAINS FENS Satellite event 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research'. In between sessions, it will be possible to visit the EBRAINS showroom with hands-on demonstrations of the platform co-organized by EITN. Registration is free but mandatory to attend, see information below. Have an excellent day, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 –*NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org/> _____ EBRAINS is organising a satellite event at the FENS Forum 2022 on 8 July from 8:30 – 17:30 CEST. The EBRAINS FENS satellite event, 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research', aims to bring together experimental, clinical and computational neuroscientists. The programme is structured to highlight the bridges between basic and clinical neuroscience and computational neuroscience. It will be structured therefore around four sessions on why, what, how and where to integrate multi-resolution and multi-scale data for neuroscience research. The seminar will be held on July, 8 at INSPE, rue Molitor in Paris (https://www.inspe-paris.fr/visite-virtuelle) Programme: • 08:30 Get-together: Coffee and mingling • 09:00 INTRODUCTION • 09:20 SESSION 1: What are the grand challenges in basic and human neuroscience that currently hamper reproducible the integrating multiscale, multilevel data in a new data infrastructure with tools allowing researchers to use these data. • 10:30 Coffee & posters, EBRAINS showroom • 11:00 SESSION 2: The solutions implemented in EBRAINS Research Infrastructure • 12:30 LUNCH & posters, EBRAINS showroom • 13:30 SESSION 3: Success stories from experimentalists, clinicians, modelers: neuroscience research examples empowered by EBRAINS • 15:15 Coffee & posters, EBRAINS showroom • 16:00 SESSION 4: Perspectives and future • 17:00 – 18:00 ROUND TABLE and summary Registration: Registration is free but mandatory. Register here: https://ebrains.eu/fens-satellite-event/

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“TEX2022: Bringing together Predictive Processes and Statistical Learning” Abstract submission deadline extended
by Yamil Vidal 13 Jun '22

13 Jun '22

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” has been extended to the 19th of June!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend to register early in order to secure a spot. Invited Speakers: - Maria Chait - Lori Holt - Floris de Lange - Clare Press - Lucia Melloni - Ram Frost - Nicola Molinaro - Caspar Schwiedrzik Scientific Committee: - Alejandro Blenkmann - Louisa Bogaerts - Fabienne Chetail - Abhishek Banerjee - Emma Holmes - Dezső Németh You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1536292945275629568 We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

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Open PhD position in mathematical/computational modeling of endocannabinoid-mediated synaptic plasticity
by Hugues Berry 10 Jun '22

10 Jun '22

Dear colleagues, A PhD position is open in my team at Inria Lyon, France on the modelling of endocannabinoid-mediated synaptic plasticity and its implication in fast learning. The research is a collaboration with the Venance Lab, Centre Interdisciplinaire de Recherche en Biology, Collège de France, Paris. We are looking for a highly motivated candidate with a background in mathematical modelling, dynamical systems, computational neuroscience or computational systems biology and a solid appetite for interactions with experimental neuroscience data. The starting date must be between September and November 2022. More information can be found here: http://www.inrialpes.fr/Berry/Images/PhD_Proposal_2022.pdf Contact me directly for applications. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology Inria 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 hugues.berry(a)inria.fr

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