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International Symposium on AI and Brain Science 2022: Call for poster abstracts and registration

by Kenji Doya

We are pleased to announce the International Symposium on AI and Brain Science 2022 on July 4th and 5th at Okinawa Institute of Science and Technology http://www.brain-ai.jp/symposium2022/ as a satellite event for Neuro2022 at Okinawa Convention Center from June 30th to July 3rd. https://neuro2022.jnss.org/en/ The symposium is on-site/online hybrid and we are calling for on-site poster presentations by June 1st. Please note that all foreign nationals currently need a visa to enter Japan and if you need a visa application support, please submit your abstract by May 25th, i.e. immediately. Attendance is free, but registration is required by June 15th from the web site: http://www.brain-ai.jp/symposium2022/registration/ 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, Angela Langdon, Xiao-Jing Wang, Terrence Sejnowski 12:00-14:00 Lunch and Poster Session 14:00-16:00 Session 2: Biological and robotic motor control Tetsuya Ogata, Tom Macpherson, Jun Izawa, Rieko Osu 16:30-18:30 Session 3: Brain-inspired AI Masashi Sugiyama, Matthew Botvinick, Yutaka Matsuo <Tuesday July 5th> 10:00-12:00 Session 4: AI, Brain, and Society Patricia Churchland, Yoshua Bengio, Ryota Kanai, Ai Koizumi 12:00-13:00 Lunch and Poster Session 13:00-15:00 Session 5: Natural and artificial consciousness Hideaki Shimazaki, Keisuke Suzuki, Makiko Yamada, Tadahiro Taniguchi 15:30-17:30 Session 6: Bayesian Brain and Computational Psychiatry Jun Tani, Karl Friston, Yuichi Yamashita, Misako Komatsu 17:30-18:00 General Discussion - Closing Hope to see many of you in Okinawa, or online. 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) ---- 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

May 24, 2022

CFP: Frontiers research topic on Neural Dynamics and Behavior in Freely Moving Animals (DL:2022.10.30)

by Panagiotis Symvoulidis

Dear Colleagues, We are organizing the Frontiers Research Topic below, aiming to create a collection of articles across the whole field of neuroscience studies of freely moving animals. Please *consider submitting* your related work and *sharing the call* with potentially interested colleagues. Apologies for the cross-post. *The Brain in Action: Neural Dynamics and Behavior in Freely Moving Animals* *Link*: https://www.frontiersin.org/research-topics/20697/the-brain-in-action-neura… *Details: *Understanding the neural basis of complex behaviors is a primary aim of neuroscience. However, until recently, the field lacked an appropriate set of techniques for simultaneously measuring neural activity and behavior in freely moving animals, forcing investigators to use immobilized animals performing simplistic behavioral tasks. Synergistic technological breakthroughs in fluorescent brain imaging and behavioral tracking approaches have paved the way to a new type of neuroscience that enables tracking behavior in setups compatible with brain imaging and manipulation, even at the single-cell level, using optical electrophysiology techniques. A diversity of such neurobehavioral imaging systems have been recently invented, spanning the range of conventional model organisms including C. Elegans, Flies, Zebrafish, and Rodents. Each species and approach showcases unique technical challenges, achievements, and opportunities. Our aim with this Research Topic is to provide an overview of this new field. We will present not only the technological advances but also discuss the novel type of experiments and insights that they promise. To achieve that, we welcome articles that span the following categories: i) Algorithms and imaging systems for tracking and quantifying complex behaviors of freely moving animals; ii) Molecular tools and microscopes, enabling capturing or manipulating neuronal dynamics. Such systems could include tracking or large field of view microscopes in small animals, head-mounted mini scopes and fiber-based systems for mammalian models, -or non-optical methods; iii) Neuroscience studies, using such tools to generate neurobehavioral datasets (ideally shareable with the community) and new biological findings; iv) Perspective articles on the future possibilities of such systems are also welcome -including ones that discuss alternatives approaches; v) Analysis pipelines and computational neuroscience frameworks exploiting the produced datasets, along with ways to integrate them with existing ( or future) knowledge and techniques. *Keywords*: Brain Imaging, Behavioral Tracking, Quantitative Behavior, Neuronal Dynamics, Freely Moving *Participating Journals:*Frontiers in Neuroscience Frontiers in Neuroimaging *Guest Editors Team:* Prof. Gershow, Prof. Venkatachalam, Dr. Marshall, and Dr. Symvoulidis *Deadline:*30 October 20202 Best, Panos

May 23, 2022

New 4-years PostDoc position in "Explainable Machine / Deep Learning in Translational Psychiatry" at Charité - Universitätsmedizin Berlin, Germany

by Kerstin Ritter

Dear all, John-Dylan Haynes and I offer a new PostDoc position in the field of "Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry" at Charité - Universitätsmedizin Berlin, Germany (see advertisement below) - please feel free to forward the advertisement to people who may be interested! Thanks a lot! Best wishes, Kerstin Ritter ______________________________________________________________ Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry PostDoc position (starting date: July/August 2022, up to 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 Ass. 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). Please see also the job advertisement: https://www.charite.de/service/stellenangebot/angebot/detailinfo/dm11822b_r… Requirements for the Postdoc: - Excellent 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 Please send your application (motivation+CV+references) in one pdf-file (in English or German) asap to: Ass. 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… ______________________________________________________________

May 19, 2022

Junior Chair position in Computational Neuroscience, Marseille, France

by Sylvain Takerkart

Aix-Marseille Université (AMU) is opening a Junior Chair in Computational Neuroscience, a new tenured-track path at French Universities. The position is open at Junior Professor level (level of experience 3-10 years after PhD) and is supported with a start-up package of 470K€, including the salary for the Junior Professor. After 3-5 years, depending upon the scientific achievements, the Chair should lead to a permanent Faculty position at the Professor level (PR2). * Starting date: Sept-Dec 2022 (not flexible) * teaching is about 60h/year (negotiable) in Computational neurosciences * deadline of application June 8th * Inquiries and further information can be sent directly to both Dr Guillaume Masson (Director INT:guillaume.masson@univ-amu.fr <mailto:guillaume.masson@univ-amu.fr>) and Dr Viktor Jirsa (Director INS:viktor.jirsa@univ-amu.fr <mailto:viktor.jirsa@univ-amu.fr>) More info (in French, then in English) at https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub… <https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub…> Please circulate! -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

May 19, 2022

Call for papers for the 5th international workshop on machine learning in clinical neuroimaging

by MLCN Workshop

Dear Colleagues, Please find below the call for papers for the International Workshop of Machine Learning in Clinical Neuroimaging (MLCN) which is held on *the 18th of September 2022 at MICCAI 2022, Singapore*. We welcome contributions to novel machine learning methods and their applications to clinical neuroimaging data. The submission deadline is *25 June 2022*, and all MLCN accepted papers will be eligible for the best paper award of 500 USD. Top accepted papers will be invited to submit an extended version to the MELBA journal. For more information, please visit https://mlcnws.com/call-for-papers/*.* Best wishes, The MLCN 2022 steering and organizing committees Christos Davatzikos, Andre Marquand, Jonas Richiardi, Emma Robinson Ahmed Abdulkadir, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers *Call for Papers* The International Workshop of Machine Learning in Clinical Neuroimaging (MLCN 2022 <https://mlcnws.com/>), a satellite event of MICCAI (MICCAI 2022 <https://conferences.miccai.org/2022/en/>), calls for original papers in the field of clinical neuroimaging data analysis with machine learning. The two tracks of the workshop include methodological innovations as well as clinical applications. This highly interdisciplinary topic provides an excellent platform to connect researchers of varying disciplines and to collectively advance the field in multiple directions. In the *machine learning* track, we seek novel contributions that address current methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous clinical neuroscientific data using stable, scalable, and interpretable machine learning models. Topics of interest include but are not limited to: · Big data · Spatio-temporal brain data analysis · Structural data analysis · Graph theory and complex network analysis · Longitudinal data analysis · Model stability and interpretability · Model scalability in large neuroimaging datasets · Multi-source data integration and multi-view learning · Multi-site data analysis, from preprocessing to modeling · Domain adaptation, data harmonization, and transfer learning in neuroimaging · Unsupervised methods for stratifying brain disorders · Deep learning in clinical neuroimaging · Model uncertainty in clinical predictions · … In the *clinical neuroimaging *track*,* the applications of existing machine learning algorithms are evaluated to move towards precision medicine for complex brain disorders. The discovery of biological markers in medicine is an important challenge across different fields and various experimental procedures and designs are used to detect biological signatures that can be utilized for improvement in diagnostic, treatment, or for other beneficial ends. However, for most complex brain disorders, we do not have reliable biomarkers today. The application of advanced machine learning methods may help to reach this goal. Therefore, we invite the community to submit conference contributions on machine learning approaches with the goal to improve our understanding of complex brain disorders, moving the field closer to precision medicine. Topics of interest include but are not limited to: · Biomarker discovery · Refinement of nosology and diagnostics · Biological validation of clinical syndromes · Treatment outcome prediction · Course prediction · Analysis of wearable sensors · Neurogenetics and brain imaging genetics · Mechanistic modeling · Brain aging · The presentation of clinical neuroimaging databases to stimulate developments in machine learning · … ------------------------------ *Submission Process:* The workshop seeks high-quality, original, and unpublished work that addresses one or more challenges described above. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (see this link <https://conferences.miccai.org/2022/en/PAPER-SUBMISSION-AND-REBUTTAL-GUIDEL…> for detailed author guidelines) using the CMT system here <https://cmt3.research.microsoft.com/MLCN2022>. The page limit is 8-pages (text, figures, and tables) plus up to 2-pages of references. We review the submissions in a double-blind process. Please make sure that your submission is anonymous. Accepted papers will be published in a joint proceeding with the MICCAI 2022 conference. ------------------------------ *MLCN Special Issue at the MELBA journal:* We will invite the top accepted papers to submit an extended version of their contribution to the MLCN special issue at the Journal of Machine Learning for Biomedical Imaging (MELBA) <https://www.melba-journal.org/>. The invited papers will go through an independent review process by the journal. *Error! Filename not specified.* <https://www.melba-journal.org/> ------------------------------ *Donders Best Paper Award:* The MLCN’s best paper award is sponsored by Donders Institute <https://www.ru.nl/donders/>. All MLCN accepted papers will be eligible for the best paper award. The recipient of the award will be chosen by the MLCN scientific committee based on the scientific quality, novelty, and clarity of contributions. The winner will be announced at the end of the workshop and will receive a 500 USD honorarium. ------------------------------ *Important Dates:* · Paper submission deadline: June 25, 2022 · Notification of Acceptance: July 23, 2022 · Camera-ready Submission: Aug 6, 2022 · Workshop Date: September 18, 2022

May 18, 2022

Final reminder: 9th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2022)

by Daniel Wójcik

*Deadline this Sunday.* Apologies for cross-posting. Please distribute.* ------------------------------------------------------- 9th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2022)* /Understanding neurons, cognition and behavior// //through neuroinformatics and artificial intelligence/ *Place* The Campus of the 600th Anniversary of the Jagiellonian University Revival Faculty of Management and Social Communication / Faculty of Mathematics and Computer Science Krakow, Poland *Time:* July 4-8, 2022 *More information and applications at* http://bionn.matinf.uj.edu.pl/events/bnni2022/ * **Important dates* *22 May 2022 Application deadline* 31 May 2022 Acceptance notification 4-8 July 2022 Summer School *We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2022 to be held at Jagiellonian University in Kraków.* The course is interdisciplinary and covers modeling at different levels of organization of the brain as well as elements of machine learning. The course combines lectures, tutorials and computer exercises for computational modeling and analysis of brain functions at multiple physiological and anatomical scales. The summer school will follow the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, BNNI 2014 in Tampere, BNNI 2015 in Tartu, BNNI 2016 in Warsaw, BNNI 2017 in Kaunas, BNNI 2018 in Ventspils, BNNI 2019 <https://bnni.lsmuni.lt/bnni2019/en> in Frankfurt, BNNI 2021 <https://www.humanbrainproject.eu/en/education/BNNI2021/> online). The *target audience* of the course will be advanced master students, doctoral students and postdoctoral researchers in natural science, including physics, chemistry, mathematics, computer science, informatics and information technology, and similar who would like to get an introduction to neuroinformatics and computational neuroscience. Advanced master students, doctoral students and postdoctoral researchers in neuroscience and psychology with strong interest in computer science, data analysis and mathematics, and some educational and/or research background in quantitative science are also encouraged to apply. *The school will be in hybrid format with up to 40 in-person places.* *Faculty includes* Hermann Cuntz, Ernst Strüngmann Institute (ESI) for Neuroscience, Frankfurt, Germany Gaute Einevoll, Norwegian University of Life Sciences and University of Oslo, Norway Boris Gutkin, Ecole Normale Superieure, Paris, France Adam Hamed, Nencki Institute of Experimental Biology, Warsaw, Poland Gabriela Izowit, Jagiellonian University, Kraków, Poland Dieter Jaeger, Emory University Peter Jedlicka, Faculty of Medicine, Justus-Liebig-University and NeuroScience Center, Goethe-University, Germany Ewelina Knapska, Nencki Institute of Experimental Biology, Warsaw, Poland Jan Fousek, Aix-Marseille University, France Marja-Leena Linne, Tampere University of Technology, Finland Jan Rodriguez Parkitna, Maj Institute of Pharmacology, Kraków, Poland Igor Podolak, Jagiellonian University, Kraków, Poland Arnd Roth, University College London, UK Ausra Saudargiene, Lithuanian University of Health Sciences, Kaunas, Lithuania Dirk Schubert, Radboud University, Netherlands Wolfram Schultz, University of Cambridge, UK Eleni Vasilaki, University of Sheffield, Sheffield, United Kingdom Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw & Jagiellonian University, Kraków, Poland Mirosław Wyczesany, Jagiellonian University, Kraków, Poland Friedemann Zenke, Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland *Venue* The lectures will be held at the Faculty of Management and Social Communication and the computer classes in the Faculty of Mathematics and Computer Science at the new The Campus of the 600th Anniversary of the Jagiellonian University Revival. The two buildings are next to each other and connected to Kraków center by multiple tram and bus lines. *Registration fee* In person attendance: 100 EUR; covers lunches, coffee breaks and special dinner during the school. Online attendance: 10 EUR; covers transmission costs. The organizers will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. We will provide advise with inexpensive lodging for all the students. *Available support* We will award scholarships to 20 in-person participants from outside of Poland. The scholarship (over 4000 PLN before tax) comes with a fee waiver and should be enough to cover travel and lodging during the school. *Funding *The course is supported by the SPINAKER program financed by the National Agency for Academic Exchange (NAWA) in Poland.* * We are looking forward to welcome you at the BNNI 2022 in Kraków in July!

May 18, 2022

Date change: Susan Goldin-Meadow speaking on June 1 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On June 1, the Developing Minds global online lecture series will feature Susan Goldin-Meadow, Dept. of Psychology, U. of Chicago, USA. : "The Mind Hidden in Our Hands“ https://sites.google.com/view/developing-minds-series/home The talk had to be postponed from the originally planned date of May 18. The live event will take place via zoom at: 08:00 CDT (Central Daylight Time) 13:00 UTC (Universal Coordinated Time) 15:00 CEST (Central European Summer Time) 22:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Gesture is versatile in form and function. Under certain circumstances, gesture can substitute for speech, and when it does, it embodies the properties of language that children themselves bring to language learning, and underscores the resilience of language itself. Under other circumstances, gesture can form a fully integrated system with speech. When it does, it both predicts and promotes learning, and underscores the resilience of gesture in thinking. Together, these lines of research show how much of our minds is hidden in our hands. Bio Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology and Comparative Human Development at the University of Chicago. Her research focuses on the most basic building blocks of language and thought as they are developed in early childhood. Specifically, she is interested in uncovering linguistic components that are so basic they will arise in a child’s communication system even if the child has limited access to outside linguistic input. Professor Goldin-Meadow’s research has also generated more broadly applicable insights into how the spontaneous gestures that learners produce can reveal their readiness to learn language, math, and scientific concepts. Professor Goldin-Meadow is the founding Editor of Language Learning and Development, and has been president of the International Society for Gesture Studies, president of the Cognitive Development Society, chair of the Cognitive Science Society, and president of the Association for Psychological Society. She is the recipient of a Guggenheim Fellowship, received the William James award for lifetime achievement in basic research from APS, was elected to the American Academy for Arts and Science in 2005, and the National Academy of Sciences in 2020. Web: https://psychology.uchicago.edu/directory/susan-goldin-meadow 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

May 17, 2022

Submissions for trainee talks at CCNSv3 (June 6-7 on Crowdcast) are open

by Scott Rich

The third edition of the CCNS meeting is less than three weeks away! The program is being updated daily at ccnsmeeting.ca. Three of our keynote speakers are confirmed: Drs. Gaute Einevoll, Viktor Jirsa, and Cendri Hutcherson. Other confirmed speakers include Drs. Willy Wong, Steven Prescott, Carmen Canavier, Kelly Shen, and Casper Hesp. To register for the meeting, head over to https://www.crowdcast.io/e/ccnsv3/register. We are also still accepting submissions for Trainee Talks at https://docs.google.com/forms/d/e/1FAIpQLSdF1cFvCOKFuwYJf_e1QpLZaxnANE-xjuG…. Submissions received before May 23 will receive full consideration. We look forward to seeing you at CCNSv3! Sincerely, Scott Rich (on behalf of the organizing committee)

May 17, 2022

New publication from the INCF Infrastructure Committee

by INCF

The INCF Infrastructure Committee’s “Recommendations for repositories and science gateways from a neuroscience perspective” <https://www.nature.com/articles/s41597-022-01334-1> has been published today, May 16, as a Comment in Scientific Data <https://www.nature.com/sdata/>. The project, initiated by the INCF Infrastructure Committee, aimed to develop an inclusive set of criteria that could apply to a wide and diverse range of digital services, including repositories, science gateways, data, and software. “We set out to develop criteria that were specific to neuroscience, but we realized during the process that our end result would be applicable to other data-heavy disciplines as well”, says Malin Sandström, coordinator for the Infrastructure Committee. “When you look at the problem closely, it turns out that many of the criteria have to do with best practices for how a service is run and governed, rather than with which types of data and other content it contains”. The work began in October 2020. A draft version <https://www.incf.org/criteria-checklist> was presented to the community at the INCF Assembly in April 2021, in a workshop <https://f1000research.com/documents/10-1026> with representatives from organizations engaged in similar projects, including FAIRSharing, FORCE11, and the Coalition of Open Access Repositories (COAR). A public first version of the criteria checklist was made available on the INCF portal <https://www.incf.org/criteria-checklist> in late 2021. With these criteria, INCF wants to help neuroscience researchers and students choose good services for their specific use cases and help service providers make good and future-proof decisions for setup and operations. Former Chair Wojtek Goscinski, now Chief Executive Officer at the Australian National Imaging Facility, explains: “Data repositories and scientific gateways are critical, but often underappreciated, components in the scientific workflow. It’s important that researchers can navigate the digital landscape to find the services that they need and to understand which services are fit-for-purpose. Likewise, repositories and gateways have increasing obligations to their users”. The recommendations published in the Comment are intended to guide users through the reasoning and considerations that went into the criteria development process. Read more: Workshop report <https://f1000research.com/documents/10-1026> Public first version criteria <https://www.incf.org/criteria-checklist> Blog post <https://incf.org/blog/incf-infrastructure-committee-recommendations-publish…>

May 16, 2022

Postdoc positions in modeling/analysis for understanding sleep

by Geoffrey Goodhill

POSTDOC POSITIONS IN MODELING/ANALYSIS FOR UNDERSTANDING SLEEP OVERVIEW. A new NIH-funded collaboration between David Prober (Caltech), Thai Truong (USC) and Geoff Goodhill (Washington University in St Louis) aims to gain new insight into the neural circuits underlying sleep, through a combination of whole-brain neural recordings in zebrafish and theoretical/computational modeling. The Goodhill lab is now looking for 2 postdocs for the modeling and computational analysis components. PROJECT DETAILS. Using novel 2-photon imaging technologies Prober and Truong will record from the entire larval zebrafish brain at single-neuron resolution continuously for long periods of time, examining neural circuit activity during normal day-night cycles and in response to genetic and pharmacological perturbations. The Goodhill lab will analyze the resulting huge datasets using a variety of sophisticated computational approaches, and use these results to build new theoretical models that reveal how neural circuits interact to govern sleep. Theoretical and experimental work will be intimitely linked. APPLICANT PROFILE. Applicants for the positions in the Goodhill lab should have a strong background in mathematics/theory/computation applied to biological problems. Experience in modeling sleep processes is desirable but not required. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. The lab both performs its own behavioral and neural imaging experiments with larval zebrafish, and collaborates on the analysis of data generated elsewhere. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. In 2023 the Goodhill lab will move along with over 100 other labs into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest in the positions to g.goodhill(a)wustl.edu. Review of applications will continue until the positions are filled. Professor Geoffrey J Goodhill Departments of Developmental Biology, Neuroscience, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St Louis, MO 63110 https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd Email: g.goodhill(a)wustl.edu

May 15, 2022

Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic

by Magda Pokorna

*Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics is available in Prague, Czech Republic:* We are looking for new team members to join the _Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>_to work on its interdisciplinary projects. The group is part of the *Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic,*_https://www.cs.cas.cz/ <https://www.cs.cas.cz/>_. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at _http://cobra.cs.cas.cz/ <http://cobra.cs.cas.cz/>_. **Applications will be reviewed on a rolling basis with a first cut-off point on June 30, 2022.** For more information and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-20… Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz, Web: http://cs.cas.cz/hlinka. Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/

May 12, 2022

Postdoc / Junior Scientist in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic

by Magda Pokorna

Postdoctoral / Junior Scientistposition in Multimodal Neuroimaging Machine Learning is available in Prague, Czech Republic: A postdoc or junior scientistposition is available to join the _Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>_for the project: /“Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“/funded by the Czech Health Research Council.The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors.The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. **Applications will be reviewed on a rolling basis with a first cut-off point on June 30, 2022.** For more information and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlin… Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz, Web: http://cs.cas.cz/hlinka. Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/

May 12, 2022

INCF Assembly 2022: Abstract deadline extended!

by INCF

*The deadline to submit your abstracts to INCF Neuroinformatics Assembly 2022 <https://neuroinformatics.incf.org/> has been extended to May 23!* This interactive event will take place virtually from September 12-16 on the Gather platform, with poster sessions in Zohuddle. We’ve chosen these platforms specifically to make your experience as close to an in-person experience as possible. *Why is Assembly’s format different from other virtual conferences?* The Gather platform enables you to “walk” around the virtual space and when you get close to other participants they will pop up on live video. This works the same for posters and exhibitor booths and gives you a much more interactive experience than your ordinary virtual conference! The Assembly offers many training opportunities for participants of all career stages - this year we offer a 2 PhD-credit course on “Neuroscience data integration through use of digital brain atlases”. See all training sessions here <https://neuroinformatics.incf.org/2022/educational-courses>. *What is Zohuddle?* It’s an app to simplify virtual networking, specifically the poster session of Assembly. It works by letting you rank the abstracts that interest you the most, then creating a schedule of “huddles” with an integrated video chat for you to meet your matches! Important dates: - Registration opens: April 8 - Abstract submission opens: April 8 - Abstract submission closes: May 23 - Assembly: September 12-16 Submit your abstract & register for Assembly 2022 today! <https://neuroinformatics.incf.org/> *Share with your friends, colleagues, and networks!* Please forward the above email to your colleagues, students, and other networks to make this the best Assembly yet! Is social media more your style? Here are some posts just for you! Post 1: 📢Deadline extended!📢 You now have until May 23 to submit your abstracts for INCF Neuroinformatics Assembly 2022! Learn more & register here: bit.ly/Assembly2022reg Post 2: How is INCF Neuroinformatics Assembly 2022 more interactive than other virtual conferences? - “Walk” around the space - get close to other participants to interact via video! - Earn 2 PhD credits on one of our digital brain atlasing courses! Learn more: bit.ly/NeuroinformaticsAssembly2021 *We hope to see you at INCF Neuroinformatics Assembly 2022!*

May 11, 2022

Junior Professor position in Computational Neurosciences - University of Lyon, France

by Nicolas Fourcaud-Trocmé

Dear all, Sorry for the short delay (application deadline is may 23th, 2022), but there is a Junior Professor position in Computational Neurosciences opened at the University of Lyon 1 (France). The position is targeted to Junior Professor level (level of experience 3-10 years after PhD). All details (research and teaching expectations, starting package, application guidelines) are given in the link below (initially in french then in english): https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub… Inquiries and further information can be sent directly to Dr Jérémie Mattout <jeremie.mattout(a)inserm.fr> and Pr Anne Didier <anne.didier(a)univ-lyon1.fr> Cordially, Nicolas Fourcaud-Trocmé -- Centre de Recherche en Neurosciences de Lyon Inserm U1028 - CNRS UMR5292 - UCBL Centre Hospitalier Le Vinatier - Bātiment 462 - Neurocampus 95 boulevard Pinel 69675 Bron Cedex Phone: (+33) 4 81 10 65 51 Fax: (+33) xxx e-mail: Nicolas.Fourcaud-Trocme(a)cnrs.fr

May 11, 2022

Extended deadline: KogWis2022 | 15th Biannual Conference of the German Cognitive Science Society

by Constantin Rothkopf

Deadline extended to May 16th, 2022. Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2022 Theme: Understanding Minds Date: 5.-7. September 2022 Location: Freiburg im Breisgau, Germany Host: Albert-Ludwigs University Freiburg Web: https://www.kogwis2022.uni-freiburg.de/ +++ The Call for Papers is now open (deadline: May 9th, 2022) : https://www.kogwis2022.uni-freiburg.de/picturesandstuff/call-for-papers-kog… +++ The Call for Tutorials is now open (deadline: May 9th, 2022): https://www.kogwis2022.uni-freiburg.de/picturesandstuff/call-for-tutorials-… Abstract: The 15. biannual Conference of the German Cognitive Science Society (KogWis2022) will take place from 5.-7. September 2022 in Freiburg i.Br., Germany, organized by the Center for Cognitive Science. The theme “Understanding Minds” reflects two perspectives: The conference provides a forum for all topics in the study of how minds – both human and artificial – operate. The theme also puts a specific spotlight on how cognitive systems make sense of the world, in particular in language comprehension and communication. Confirmed keynote speakers are: Dedre Gentner, Northwestern University, Illinois (USA) Seana Coulson, University of California, San Diego (USA) Marcel Brass, Humboldt-University, Berlin (D) Matthew Crocker, Saarland University, Saarbrücken (D) Further information is available on the conference website: www.kogwis2022.uni-freiburg.de. For any inquiries please use the conference e-mail-address: kogwis2022(a)cognition.uni-freiburg.de. With kind regards - The Organising Committee Evelyn Ferstl, Lars Konieczny, Rul von Stülpnagel, Judith Beck, Lisa Zacharski

May 10, 2022

Junior Chair in Computational Neurosciences at Aix-Marseille Université, France

by PERRINET Laurent

Dear colleagues, Aix-Marseille Université (AMU) is opening a Junior Chair in Computational Neuroscience, a new tenured-track path at French Universities. The position is open at Junior Professor level (level of experience 3-10 years after PhD) and is supported with a start-up package of 470K€, including the salary for the Junior Professor. After 3-5 years, depending upon the scientific achievements, the Chair should lead to a permanent Faculty position at the Professor level (PR2). Quick facts: - Starting date: Sept-Dec 2022 (not flexible) - teaching is about 60h/year (negotiable) in Computational neurosciences - deadline of application June 8th - Inquiries and further information can be sent directly to both Dr Guillaume Masson (Director INT: guillaume.masson(a)univ-amu.fr<mailto:guillaume.masson@univ-amu.fr>) and Dr Viktor Jirsa (Director INS: viktor.jirsa(a)univ-amu.fr<mailto:viktor.jirsa@univ-amu.fr> ) Flyer : https://amubox.univ-amu.fr/s/6RPZfSs2B98DgdB/download/CPJ_call_AMU_INT_INS_… Full info (in French, then in English) at https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub… Please circulate! Cheers, Laurent -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/

May 10, 2022

NEST Conference 2022 - Extension of abstract submission deadline

by Hans Ekkehard Plesser

Dear all, The abstract submission deadline for the (virtual) NEST Conference 2022 has been extended to Wednesday, 25 May. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Thursday/Friday 23/24 June 2022. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Important dates 25 May 2022 — Deadline for submission of contributions 03 June 2022 — Notification of acceptance 17 June 2022 — Registration deadline 23 June 2022 — NEST Conference 2022 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

May 10, 2022

Susan Goldin-Meadow speaking on May 18 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On May 18, the Developing Minds global online lecture series will feature Susan Goldin-Meadow, Dept. of Psychology, U. of Chicago, USA: "The Mind Hidden in Our Hands“ https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 08:00 CDT (Central Daylight Time) 13:00 UTC (Universal Coordinated Time) 15:00 CEST (Central European Summer Time) 22:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Gesture is versatile in form and function. Under certain circumstances, gesture can substitute for speech, and when it does, it embodies the properties of language that children themselves bring to language learning, and underscores the resilience of language itself. Under other circumstances, gesture can form a fully integrated system with speech. When it does, it both predicts and promotes learning, and underscores the resilience of gesture in thinking. Together, these lines of research show how much of our minds is hidden in our hands. Bio Susan Goldin-Meadow is the Beardsley Ruml Distinguished Service Professor in the Departments of Psychology and Comparative Human Development at the University of Chicago. Her research focuses on the most basic building blocks of language and thought as they are developed in early childhood. Specifically, she is interested in uncovering linguistic components that are so basic they will arise in a child’s communication system even if the child has limited access to outside linguistic input. Professor Goldin-Meadow’s research has also generated more broadly applicable insights into how the spontaneous gestures that learners produce can reveal their readiness to learn language, math, and scientific concepts. Professor Goldin-Meadow is the founding Editor of Language Learning and Development, and has been president of the International Society for Gesture Studies, president of the Cognitive Development Society, chair of the Cognitive Science Society, and president of the Association for Psychological Society. She is the recipient of a Guggenheim Fellowship, received the William James award for lifetime achievement in basic research from APS, was elected to the American Academy for Arts and Science in 2005, and the National Academy of Sciences in 2020. Web: https://psychology.uchicago.edu/directory/susan-goldin-meadow 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

May 10, 2022

Scientific programmer position (ML/comp neuro), Kietzmann Lab

by Tim Kietzmann

Dear all, My team is looking for a scientific programmer (part-time, but permanent employment as a state employee, University of Osnabrück, Germany) to support our work in the domain of computational neuroscience/ML, which largely focuses on deep learning. The role comes with lots of flexibility in terms of content and working hours. - Details about the position are provided here: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… - You can find out more about our work here: https://www.kietzmannlab.org/ Feel free to contact me with any open questions. Best wishes Tim __________________________________ Prof. Dr. rer. nat. Tim C Kietzmann Professor for Machine Learning Institute of Cognitive Science University of Osnabrück Osnabrück, Germany Web: https://www.kietzmannlab.org Email: tim.kietzmann(a)uni-osnabrueck.de Twitter: @TimKietzmann

May 10, 2022

POSITION FOR A POSTDOCTORAL FELLOW IN COMPUTATIONAL MOTOR NEUROSCIENCE - Dagmar Sternad

by Mohsen Sadeghi

We are seeking a highly motivated postdoctoral fellow to work in the area of computational motor neuroscience. Our research addresses fundamental questions on human motor control, with extensions to clinical applications and human-robot interactions. The candidate is expected to participate in one or more lines of research, including projects on the human control of complex objects in healthy and clinical populations, specifically stroke and autism, and the interrelation of timing in motor skills and perceptual tasks. We have several collaborators on these projects, including Pawan Sinha at MIT, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by the National Institutes of Health and the National Science Foundation. The Action Lab has state-of-the-art experimental equipment, including 3D motion capture, three virtual reality set-ups, two robot manipulanda, force plates and wireless EMG. We also use brain measurement and stimulation techniques, such as EEG and TMS. For more information about ongoing projects please visit our website: https://actionlab.sites.northeastern.edu. The Action Lab’s interdisciplinary research program addresses questions in motor control from the perspective of dynamical system, bridging disciplinary approaches from neuroscience, nonlinear dynamics, biomechanics, engineering, and psychology. The Action Lab is located in the Departments of Biology, Electrical and Computer Engineering, and Physics as well as the Institute of Experiential Robotics at Northeastern University. The university is located in the heart of Boston, which provides a stimulating intellectual environment for interdisciplinary research. Candidates should have graduate training in one of the following disciplines: Computational Motor Neuroscience, Physics, Mechanical, Electrical or Computer Engineering, or Experimental Psychology. The applicant should demonstrate an academic record of scientific excellence, independent research, and a strong interest in an interdisciplinary approach to human motor control. Experience in programming is expected (Matlab, C++, Statistics packages, etc.). He/she will get involved in existing research projects but is also encouraged to bring to bear his/her expertise and interest into the generation of new research projects. *Applicants should submit a curriculum vita, including a list of publications, and two letters of recommendation to d.sternad(a)northeastern.edu <d.sternad(a)northeastern.edu>. Hiring will start as soon as possible and continue until the position is filled.*

May 9, 2022

postdoc, Moreno-Bote Lab, Barcelona

by Ruben Moreno Bote

*Post-doctoral position* *Computational Neuroscience, Moreno-Bote Lab * *University Pompeu Fabra, Barcelona, Spain* *In collaboration with Gregory C. DeAngelis (U of Rochester) and Jan Drugowitsch (Harvard)* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art theory and models of primate navigation in virtual 3D environments with detailed optic flow signals, using the tools of stochastic optimal control and RL. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by NIH (pending), HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: up to the position is filled STARTING DATE: any time between September 2022 and February 2023 -- Rubén Moreno Bote Serra Húnter Professor Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

May 6, 2022

‘Monitoring and controlling ourselves and our world: computations of metacognition and agency in mental health’ - 28 July 2022 - ICN, UCL, London

by Sidarus, Nura

Dear All, We are excited to announce our in-person workshop ‘Monitoring and controlling ourselves and our world: computations of metacognition and agency in mental health’ taking place at the UCL Institute of Cognitive Neuroscience on the 28th of July 2022 (and streamed online). This ESRC funded workshop will bring together researchers from both computational and mental health fields and aims to generate discussion surrounding metacognition, agency, decision-making and learning within mental health. We have an exciting list of speakers and a keynote talk from Professor Yael Niv. * Bastien Blain, UCL Department of Experimental Psychology (PALS) * Mike Browning, Department of Psychiatry, Oxford University * Lora Capobianco, University of Manchester * Catherine Culot, Université Libre de Bruxelles * Celine Fox, Psychology Department, Trinity College Dublin * Quentin Huys, UCL Max Planck Centre for Computational and Ageing Research * Yael Niv, Princeton Neuroscience Institute and Psychology Department * Marion Rouault, Department of Cognitive Studies, Ecole Normale Supérieure, Paris * Tricia Seow, UCL Max Planck Centre for Computational and Ageing Research * Matilde Vaghi, Department of Psychology, Stanford University To register (for free) and for the full programme please see our Eventbrite: https://www.eventbrite.co.uk/e/computations-of-agency-and-metacognition-in-… __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Department of Psychology Royal Holloway University of London | Egham | Surrey | TW20 0EX Office: Wolfson 248 | Tel: +44 (0) 1784 44 3717 Affiliate Member | Institute of Cognitive Neuroscience, UCL nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | www.nurasidarus.com<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

May 5, 2022

9th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2022)

by Daniel Wójcik

Apologies for cross-posting. Please distribute.* ------------------------------------------------------- 9th Baltic-Nordic Summer School on Neuroinformatics (BNNI 2022)* /Understanding neurons, cognition and behavior// //through neuroinformatics and artificial intelligence/ *Place* The Campus of the 600th Anniversary of the Jagiellonian University Revival Faculty of Management and Social Communication / Faculty of Mathematics and Computer Science Krakow, Poland *Time:* July 4-8, 2022 *More information and applications at* http://bit.do/bnni2022 * **Important dates* 22 May 2022 Application deadline 31 May 2022 Acceptance notification 4-8 July 2022 Summer School *We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2022 to be held at Jagiellonian University in Kraków.* The course is interdisciplinary and covers modeling at different levels of organization of the brain as well as elements of machine learning. The course combines lectures, tutorials and computer exercises for computational modeling and analysis of brain functions at multiple physiological and anatomical scales. The summer school will follow the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 <http://www.cs.tut.fi/sgn/neuroinfo/index_files/Page500.htm> in Kaunas, BNNI 2014 <http://www.cs.tut.fi/sgn/neuroinfo/index_files/summerschool.htm> in Tampere, BNNI 2015 <http://neuro.cs.ut.ee/bnni2015/> in Tartu, BNNI 2016 <https://neuroinflab.wordpress.com/events/bnni-2016/> in Warsaw, BNNI 2017 <https://bnni.lsmuni.lt/bnni2017/> in Kaunas, BNNI 2018 <https://bnni.lsmuni.lt/bnni2018/> in Ventspils, BNNI 2019 <https://bnni.lsmuni.lt/bnni2019/en> in Frankfurt, BNNI 2021 <https://www.humanbrainproject.eu/en/education/BNNI2021/> online). The *target audience* of the course will be advanced master students, doctoral students and postdoctoral researchers in natural science, including physics, chemistry, mathematics, computer science, informatics and information technology, and similar who would like to get an introduction to neuroinformatics and computational neuroscience. Advanced master students, doctoral students and postdoctoral researchers in neuroscience and psychology with strong interest in computer science, data analysis and mathematics, and some educational and/or research background in quantitative science are also encouraged to apply. *The school will be in hybrid format with up to 40 in-person places.* *Faculty includes* Hermann Cuntz, Ernst Strüngmann Institute (ESI) for Neuroscience, Frankfurt, Germany Gaute Einevoll, Norwegian University of Life Sciences and University of Oslo, Norway Boris Gutkin, Ecole Normale Superieure, Paris, France Adam Hamed, Nencki Institute of Experimental Biology, Warsaw, Poland Gabriela Izowit, Jagiellonian University, Kraków, Poland Dieter Jaeger, Emory University Peter Jedlicka, Faculty of Medicine, Justus-Liebig-University and NeuroScience Center, Goethe-University, Germany Ewelina Knapska, Nencki Institute of Experimental Biology, Warsaw, Poland Mario Lavanga, Aix-Marseille University, France Marja-Leena Linne, Tampere University of Technology, Finland Jan Rodriguez Parkitna, Maj Institute of Pharmacology, Kraków, Poland Igor Podolak, Jagiellonian University, Kraków, Poland Arnd Roth, University College London, UK Ausra Saudargiene, Lithuanian University of Health Sciences, Kaunas, Lithuania Dirk Schubert, Radboud University, Netherlands Wolfram Schultz, University of Cambridge, UK Eleni Vasilaki, University of Sheffield, Sheffield, United Kingdom Daniel Wójcik, Nencki Institute of Experimental Biology, Warsaw & Jagiellonian University, Kraków, Poland Mirosław Wyczesany, Jagiellonian University, Kraków, Poland Friedemann Zenke, Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland *Venue* The lectures will be held at the Faculty of Management and Social Communication and the computer classes in the Faculty of Mathematics and Computer Science at the new The Campus of the 600th Anniversary of the Jagiellonian University Revival. The two buildings are next to each other and connected to Kraków center by multiple tram and bus lines. *Registration fee* In person attendance: 100 EUR; covers lunches, coffee breaks and special dinner during the school. Online attendance: 10 EUR; covers transmission costs. The organizers will provide teaching, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. We will provide advise with inexpensive lodging for all the students. *Available support* We will award scholarships to 20 in-person participants from outside of Poland. The scholarship (over 4000 PLN before tax) comes with a fee waiver and should be enough to cover travel and lodging during the school. *Funding *The course is supported by the SPINAKER program financed by the National Agency for Academic Exchange (NAWA) in Poland.* * We are looking forward to welcome you at the BNNI 2022 in Kraków in July!

May 4, 2022

NeuroBridges 2022 ( Deadline May 15th 2022)

by Ahmed El Hady

*NeuroBridges2022* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Deadline to apply: May 15, 2022* *NeuroBridges2022* is a summer school which will take place between September 4 and September 15, 2022 in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://streaklinks.com/BCAQ9gkmZpNbCNaAUAyJpOjc/https%3A%2F%2Fcollegecluny…>. The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. All costs of registration and accommodation will be covered by the organizers. For more information and application, visit our website:_http://decision-making-lab.com/NeuroBridges/neurobridges2022.html_ *NeuroBridges2022 Faculty:* Carlos Brody (Princeton), Ahmed El Hady (Princeton), David Hansel (CNRS), Ifat Levy (Yale), Yonatan Loewenstein (Hebrew U.), Najib Majaj (NYU), Mike Shadlen (Columbia U.), Eyal Winter (Hebrew U.) and Yoram Yovell (Hadassah Hebrew U. Medical Center) *NeuroBridges* is co-organized by Ahmed El Hady (Princeton Neuroscience Institute, USA), Yonatan Loewenstein(Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). *NeuroBridges2022* is supported by the Simons Foundation (USA), the Edmond & Lily Safra Center for Brain Sciences (Hebrew U., Israel) and CNRS (France) and is in partnership with VVTNS (wwtns.online). *Contact us:*_neurobridges2022@gmail.com <mailto:neurobridges2022@gmail.com>_

May 4, 2022

Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil

by Antonio Roque

*Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering one post-doctoral fellowship for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (São Paulo or Ribeirao Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of neurobiological data. Candidates to the first research line are required to have a strong background in probability theory with emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. The initial appointment is for one year, with a possible extension to up to two years, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the two aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until May 31, 2022. Appointment is expected to start by July or August 2022. The initial period of the position lasts for 12 months, with possible renewals for up to two years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of BR 8,479.20 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

May 3, 2022

A conversation about failure in science (featuring Edvard Moser, Sara Solla, and Nachum Ulanovsky)

by William Podlaski

WorldWideNeuRise will host a special online event on Wednesday, May 11th at 5PM CET: A conversation about failure in science Featuring brief talks and a panel discussion with: Edvard Moser (NTNU, Norway) Sara Solla (Northwestern University, USA) Nachum Ulanovsky (Weizmann Institute, Israel) For more information (and link to crowdcast for the event), please visit our website (https://neurise.github.io/) find us on WorldWideNeuro ( https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter ( https://twitter.com/WWNeuRise) WWNeuRise is a seminar series that hosts talks by early-career researchers. We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our special event on May 11th, as well as our other upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Ellen Boven (Apps Lab, University of Bristol) Christina Buetfering (Häusser Lab, University College London) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

May 3, 2022

Update: CAMP summer course on computational neuroscience: Deadline extended to 9th May

by U.S.Bhalla

Dear Colleagues, We would like to announce CAMP@Bangalore 2022 from 23 July 2022 to 7 August 2022, in Bangalore, India. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — Neuromodulation and Cell Diversity. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. The NCBS Campus has pleasant grounds, sports facilities, and the weather in late July is mild with moderate rain. There is no registration fee. Students are advised to obtain independent travel grants. Please visit the course website https://camp.ncbs.res.in/ for more details about this year's course and past courses. Updated application deadline: 9 May 2022 Referee letters must reach by 9 May 2022 Speakers include: Arvind Kumar KTH Royal Institute of Technology, Sweden Gilad Silberberg Karolinska Institutet, Sweden K.T. Blackwell George Mason University, USA Peter Dayan Max Planck Institute for Biological Cybernetics, Germany Raffaella Tonini Istituto Italiano di Tecnologia, Italy Rishikesh Narayanan Indian Institute of Science, Bangalore Sho Yagishita University of Tokyo, Japan Srikanth Ramaswamy Newcastle University, UK Upinder Bhalla National Centre for Biological Sciences, Bangalore Vatsala Thirumalai National Centre for Biological Sciences, Bangalore Thank you, Course Organizers CAMP 2022 Arvind Kumar Rishikesh Narayanan Upinder S. Bhalla

May 3, 2022

Ph.D. and postdoc positions in human visual psychophysics in Zhaoping lab

by Li Zhaoping

Li Zhaoping's labs at Max Planck Institute for Biological Cybernetics and University of Tuebingen have postdoc positions and Ph.D. positions available on human visual psychophysics for highly skilled and motivated individuals. The projects are towards understanding visual attentional and perceptual processes. Our research methods often include eye tracking, EEG, fMRI, TMS, and computational modeling, and hence familiarity in some of these methodologies is highly desirable. The research framework, their motivations, and example project types can be found at http://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html General information on researches in Zhaoping's lab can be found at http://www.lizhaoping.org/ For more details and to apply, please visit *https://jobs.tue.mpg.de/jobs/169* <https://jobs.tue.mpg.de/jobs/169>* for the postdoc positions* ***https://jobs.tue.mpg.de/jobs/170* <https://jobs.tue.mpg.de/jobs/170>* for the Ph.D positions* The positions are available immediately, applications received by *June 5th, 2022* will be preferentially considered, but later applications will still be considered until the positions are filled. The postdoc positions are for 2 years (and renewable), and the Ph.D. positions are for 3 years. Inquiries welcome. Li Zhaoping li.zhaoping(a)tuebingen.mpg.de * * * *

May 2, 2022

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Enrolments are now open for the Modeller’s Workshop for the Brain Dynamics Toolbox. The Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org>) is an open matlab toolbox for simulating dynamical systems in neuroscience and more. The Modeller’s Workshop is an online course for those who wish to use the toolbox to simulate their own dynamical systems. It is a self-paced course with a practical focus on the art of programming differential equations. Students are guided through each step via a series of video lectures. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Recommended Text Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Important Dates Enrolments open 1st May, 2022. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

May 1, 2022

[meetings] CRNS Talk Series (7) - Live Talk by Dr. Harold Soh - The National University of Singapore (NUS) - Singapore

by Amir Aly

Dear All * *Apologies for cross-posting* * The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. **Harold Soh* from the* National University of Singapore (NUS)* - Singapore on Wednesday, *May 4th *from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/97464558182?pwd=WW92MGFGb1BvOWVEZlN0ajZRbGdTUT09… >> *Title of the talk*: Human Models for Trust and Communication *Abstract*: At CLeAR, we believe human models are crucial for fluent human-robot collaboration. When coupled with planning/learning, human models enable robots to display intelligent interactive behavior. However, crafting good human models remains difficult. In this talk, we’ll discuss facets of human modeling, starting with our efforts in capturing human trust in the robot. We’ll discuss a perspective that views trust as function learning and the impact this has in multi-task scenarios. Next, we will cover MIRROR, a new approach to quickly learn human models that are useful for (communication) planning. MIRROR is inspired by social projection theory, which hypothesizes that humans use self-models to understand others. In a similar manner, MIRROR leverages robot self-models learned using RL to bootstrap human modeling. We will examine how MIRROR performs relative to state-of-the-art methods using simulations and a human-subjects study. Finally, we’ll discuss how MIRROR can be extended towards real-time human-robot collaboration, and take a broader perspective of the challenges and opportunities that lie ahead. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

April 28, 2022

Diversity Postdocs with Track to Tenured Position

by Sharon Crook

The School of Mathematical and Statistical Sciences at Arizona State University (ASU) invites applications for up to two Presidential Postdoctoral Fellowship positions in the area of mathematical biology (broadly defined and can include data science and large-scale computation in life sciences for example). The program seeks applicants whose professional preparedness, experience, and accomplishments are informed by experiences working with and within groups historically underrepresented in higher education in the United States. The goal of these positions is to support the career development of outstanding Ph.D. recipients with a path to a future tenure track appointment at ASU. Applications can be submitted online via https://www.mathjobs.org. Application deadline is 4:00 pm AZ Time, Sunday, May 8, 2022. All the details are here: https://www.mathjobs.org/jobs/list/19800 Sharon Crook Professor and Associate Director for Graduate Programs School of Mathematical and Statistical Sciences Barrett Honors Faculty Arizona State University https://iconlab.asu.edu

April 28, 2022

POSITION FOR A POSTDOCTORAL FELLOW IN COMPUTATIONAL MOTOR NEUROSCIENCE- Dagmar Sternad

by Mohsen Sadeghi

We are seeking a highly motivated postdoctoral fellow to work in the area of computational motor neuroscience. Our research addresses fundamental questions on human motor control, with extensions to clinical applications and also human-robot interactions. The candidate is expected to participate in several lines of research, including projects on the human control of complex objects in healthy and clinical population, specifically stroke and autism, and the interrelation of timing in motor skills and perceptual tasks. We have several collaborators on these projects, including Pawan Sinha at MIT, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by the National Institutes of Health and the National Science Foundation. The Action Lab has state-of-the-art experimental equipment, including 3D motion capture, three virtual reality set-ups, two robot manipulanda, force plates and wireless EMG. We also use brain measurement and stimulation techniques, such as EEG and TMS. For more information about ongoing projects please visit our website: https://actionlab.sites.northeastern.edu . The Action Lab’s interdisciplinary research program addresses questions in motor control from the perspective of dynamical system, bridging disciplinary approaches from neuroscience, nonlinear dynamics, biomechanics, engineering, and psychology. The Action Lab is located in the Departments of Biology, Electrical and Computer Engineering, and Physics as well as the Institute of Experiential Robotics at Northeastern University. The university is located in the heart of Boston, which provides a stimulating intellectual environment for interdisciplinary research. Candidates should have graduate training in one of the following disciplines: Computational Motor Neuroscience, Physics, Mechanical, Electrical or Computer Engineering, or Experimental Psychology. The applicant should demonstrate an academic record of scientific excellence, independent research, and a strong interest in an interdisciplinary approach to human motor control. Experience in programming is expected (Matlab, C++, Statistics packages, etc.). He/she will get involved in existing research projects but is also encouraged to bring to bear his/her expertise and interest into the generation of new research projects. Applicants should submit a curriculum vita, including a list of publications, and two letters of recommendation to d.sternad(a)northeastern.edu. Hiring will start as soon as possible and continue until the position is filled.

April 28, 2022

2 post-doctoral positions (LMU, Munich, MCN)

by Deroy, Ophelia

Hi, Is it possible to post this ? Thanks a lot --------------------------------------- We are seeking applications for 2 post-doc researchers to join the Co-Learn project, funded by the BIDT (Bavarian Institute for Digital Transformation). The general goal of the project is to develop an intelligent artificial tutor to improve human learning. One post-doctoral position will focus on the human side of reinforcement learning through vision and touch, the other on the role of metacognitive confidence and trust. The team also include another PHD (in machine-learning). Senior project members include Prof. Ophelia Deroy, Prof. Merle Fairhurst, Prof. Maximilian Moll and Prof. Vincent Hayward (Paris). The appointees will be expected to program and conduct experimental research in the topics relevant to the project (esp. reinforcement learning, multisensory perception) To write, publish and disseminate research results to participate in the research activities of the project. Requirements The successful candidates will have · a PhD in psychology, cognitive neuroscience or related disciplines carried out and published empirical research knowledge of experimental design, statistics, modelling and data analysis strong command of computer programming (R, Python, Matlab) is highly desirable a strong sense of leadership and initiative interest in interdisciplinary projects. knowledge of German language is not mandatory. For informal questions about the project : ophelia.deroy(a)lmu.de Applications (including CV, list of publications, list of courses taught, a writing sample, and a description of possible research project (1000-1500 words)) should be submitted via email (one PDF, max. 5MB) by May 10th, 2022, to Verena Winkler, Coordination Co-Sense.In addition, we ask for two letters of reference, which must be sent by the reviewers directly to Verena Winkler. Email: cosense(a)bio.lmu.de; winkler(a)bio.lmu.de -- Prof.Dr. Ophelia Deroy https://linktr.ee/ophelia.deroy Chair, Philosophy of Mind Cognition Values Behaviour Research Group (CVBE) Faculty of Philosophy & Munich Center for Neuroscience Ludwig Maximilian University Munich [The information transmitted by this email is intended only for the person or entity to which it is addressed. This email may contain proprietary, business-confidential and/or privileged material. Any use, review, retransmission, distribution, reproduction or any action taken in reliance upon this message is strictly prohibited. If you received this in error, please contact the sender and delete the material from all computers]

April 28, 2022

Open Postdoc position in Denmark

by Diego Vidaurre

Dear all, I'm opening a postdoc position in my group in Aarhus University to work in collaboration with Oxford (Steve Smith and Mark Woolrich) and Cambridge (Rik Henson) on machine learning models to characterise between-subject variability in brain dynamics. The ultimate goal is to leverage these models to achieve a better stratification of existing diagnoses and clinical information. We will apply these models on the different modalities in the UK Biobank, Cam-CAN and BioFIND datasets, leveraging concepts that lie in between the supervised and unsupervised learning paradigms. PhD could also be considered. More info here: https://international.au.dk/about/profile/vacant-positions/job/postdoc-in-i… Don't hesitate to contact if you have any questions. Deadline is 10May. Many thanks d

April 28, 2022

Workshop on "Virtual Brains & Digital Twins" - 02 May 2022 in Paris

by Zélie Tournoud

** *"Virtual Brains & Digital Twins: a Tentative Roadmap, Neuroethical perspectives"* *An in-person neuroethics workshop in Paris. *Date: 02 May 2022 Place: Inalco - Institut national des langues et civilisations orientales, 65 Rue des Grands Moulins, 75013 Paris Info and registration: https://www.eventbrite.fr/e/288538023997 ** Join us for this in-person workshop co-organized by philosopher Kathinka Evers, and neuroscientists Viktor Jirsa and Alain Destexhe with the support of the European Institute for Theoretical Neuroscience. Detailled program: *13:00 – 13:15 *Welcome & short introduction (Kathinka Evers & Maxime Guye) *13:15 – 14:15 Theme 1. Virtual Brains & Digital Twins in Neuroethics & Science* * Moderator: Maxime Guye * *13:15 – 13:30 *Kathinka Evers: Epistemic and Neuroethical Challenges of Virtual Brains & Digital Twins: Why Concepts Matter * *13:30 – 13:45* Viktor Jirsa: On the nature of a digital brain twin: how real is it? * *13:45 – 14:15* Panel discussion with Panel members: Wolf Singer, Jeanette Hellgren Kotaleski, Viktor Jirsa, Kathinka Evers *14:15 – 15:15 Theme 2. Neuroethics & Responsible Innovation: Mapping the Issues* * Moderator: Kathinka Evers * *14:15 – 14:30* Arleen Salles: Some ethical issues related to virtual brains and digital twins * *14:30 – 14:45* Manuel Guerrero: Mapping the Neuroethical Issues on Digital Twins in Alzheimer research and treatment * *14:45 – 15:15 *Panel discussion with Panel members: Pawel Swieboda, Florent Gaillard, Manuel Guerrero, Arleen Salles *15:15 – 15:45* Coffee break *15:45 – 16:45 Theme 3. Early career researchers' perspectives on questioning modelling practices: individual and structural perspectives* * *15:45 – 16:00* Three short introductions 1. Mallory Carlu: Why do we build models (and why we should (always) ask this question)? 2. Damien Depannemaecker: How we build and validate models: on the loss of reality and its propagation 3. Lionel Kusch: How do we use models, and who are "we"? Standardisation and popularity of models * *16:00 – 16:40* Questions to the audience (An interactive session during which randomly chosen attendees will address one of the proposed questions about their relationship with modelling.) *16:40 – 16:45* Synthesis *16:45 – 17:00 *Thanks & wrapping up (Viktor Jirsa) *17:00 –18:00 *Apéritif _____ *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/>

April 27, 2022

SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Basel, August 2021

by Rava A. da Silveira

*CN**EURO**2022* *Theoretical and Computational Neuroscience Summer School* *14 to 21 August 2022 — In person in Basel, Switzerland* *This year: “L**EARNING,** M**EMORY, AND **D**ECISION **M**AKING IN **B**RAINS AND **M**ACHINES**”* *www.cneuro.net* <http://www.cneuro.net> *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Topic and format* Past editions of CNeuro have focused on theoretical approaches to neural dynamics and coding. This year’s school will be organized around a different theme: it will explore various facets of learning, memory, and decision making, from circuit neuroscience to cognition to artificial intelligence. The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular ‘Life and Science’ panel series, in which faculty and students can both share their personal experiences and views on research and career. *Confirmed faculty* Alaa Ahmed (University of Colorado Boulder, USA) Kameron Harris (Western Washington University, USA) Yonatan Loewenstein (The Hebrew University of Jerusalem, Israel) Rubén Moreno-Bote (Universitat Pompeu Fabra, Spain) Gergő Orbán (Wigner Research Centre for Physics, Hungary) Maneesh Sahani (University College London, England) Tianming Yang (Institute of Neuroscience, China) Hang Zhang (Peking University, China) *Special Lecture by* Silvia Arber (FMI and University of Basel, Switzerland) *Organizers* Rava Azeredo da Silveira (ENS and IOB) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Information and application guidelines at www.cneuro.net. Applications will be reviewed starting on May 21, 2022. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups.

April 27, 2022

Postdoc position in Spiking Neural Networks available

by Thomas Nowotny

Dear Comp-Neuro, a postdoc position in Neuromorphic Computing and machine learning with Spiking Neural Networks is available in my group. Join our vibrant team at the beautiful University of Sussex campus in Brighton, UK. Closing date 17 May 2022 Desired start date 1 July 2022 Details and application: https://www.sussex.ac.uk/about/jobs/research-fellow-ref-8453 Please get in touch with me for any informal enquiries. Kind regards, Thomas Nowotny -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

April 26, 2022

Neuro2022 Late-Breaking Abstracts and International Symposium on AI and Brain Science

by Kenji Doya

Neuro2022 is calling for late-breaking abstracts for poster presentations by April 29, 12:00JST (3:00GMT). https://neuro2022.jnss.org/en/lba.html Neuro2022 is a joint conference of Japanese Neuroscience, Neurochemistry and Neural Networks Societies, held from June 30 to July 3, 2022 in the beautiful island of Okinawa in an on-site/online hybrid format. https://neuro2022.jnss.org/en/ It is followed by the 2nd International Symposium on AI and Brain Science on July 4-5 at Okinawa Institute of Science and Technology http://www.brain-ai.jp/symposium2022/ Confirmed Speakers: Yoshua Bengio (University of Montreal) Matthew Botvinick (DeepMind) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Ryota Kanai (ARAYA Inc.) Angela Langdon (Princeton University) Yutaka Matsuo (The University of Tokyo) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Terrence Sejnowski (Salk Institute Univesity of California San Diego) Jun Tani (Okinawa Institute of Science and Technology) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Naotsugu Tsuchiya (Monash University) Xiao-Jing Wang (New York University) The symposium is also in an on-site/online hybrid format. Free registration and abstract submission for on-site poster presentations will open in early May. Please refer to this page for the information about entry to Japan. https://neuro2022.jnss.org/en/visa.html All foreign nationals need a visa, but self-quarantine is not required from most countries with a proof of three vaccinations. ---- 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

April 26, 2022

Further deadline extension for CNS*2022 posters

by Thomas Nowotny

Dear all, 31st Annual Computational Neuroscience Meeting (CNS*2022) Melbourne 16-20 July 2022 https://www.cnsorg.org/cns-2022 The CNS*2022 abstract submission deadline for posters has been extended to Monday, 02 May at 14:00 European Summer Time. Please note this is an exceptional extension for posters only. One of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract Submission: https://cns.confmaster.net/ The call for workshops remains open: CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals was 15 April 2022 Regards, Thomas Nowotny OCNS vice-president on behalf of the board of directors -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

April 25, 2022

The Third Canadian Computational Neuroscience Spotlight: June 6-7 on Crowdcast

by Scott Rich

Dear Comp-neuro mailing list, I'm excited to have you be the first to know that *the third edition of the Canadian Computational Neuroscience Spotlight (CCNSv3) will take place June 6th and 7th, once again via Crowdcast*. We are still finalizing the meeting's itinerary and speakers (keep an eye on ccnsmeeting.ca for updates), but we're excited to announce the four themed sessions: - Dr. Alexandra Chatzikalymniou of Stanford University will chair a session on neural circuit modelling. - Dr. Randy McIntosh of Simon Fraser University will chair a session on large-scale brain modelling. - Dr. Milad Lankarany will chair a session on Neuro-AI. - Drs. Andreea Diaconescu and Povilas Karvelis will co-chair a session on cognitive modelling. To register, go to https://www.crowdcast.io/e/ccnsv3/register and click "Save my spot!" That will ensure your access come June and that you receive our e-mail updates during the coming weeks. Registration is entirely free, and replays will be available to all registrants to address time-zone concerns. Please don't hesitate to reach out to myself or anyone on the organizing committee if you have questions. We look forward to seeing you for CCNSv3! Sincerely, The CCNS Organizing Committee Scott Rich <http://scottrich.strikingly.com/>, Ph.D.: Postdoctoral Research Fellow, Krembil Brain Institute Andreea Diaconescu <https://cognemo.com/>, Ph.D.: Independent Scientist, Krembil Centre for Neuroinformatics at CAMH John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D.: Independent Scientist, Krembil Centre for Neuroinformatics at CAMH Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D.: Scientist, Krembil Brain Institute

April 25, 2022

Invitation to join the OCNS Student SIG on the Neurostars forum

by Fleur Zeldenrust

Dear computational neuroscience PhD students and postdocs, The Organization for Computational Neuroscience <https://www.cnsorg.org> (OCNS) has long been supportive of computational neuroscience students. To take this further, we are starting an OCNS SIG (Special Interest Group) for students and postdocs in computational neuroscience. This group will be launched with support from the current and assistant Training and Education Directors (Fleur Zeldenrust and Malin Sandström). Our hope is to eventually transition the SIG into being led by students - one PhD representative, one postdoc representative, and two alternates. The goal of the group is to help computational neuroscience students connect to their peers, to network, to get experience in scientific presentation, discussion and event organization, and to get insight into career possibilities. Are you a student, active in or interested in computational neuroscience? Would you like to be part of the SIG? Please take our survey to let us know what group activities you would be interested in: https://forms.gle/y94h9dstqGH45U7d9 Since we do not want to send you unwanted email, we would like to do our future correspondence through the Neurostars forum. We kindly invite you to register there and join our newly started SIG group. We will use this group to coordinate all the other SIG activities, such as group meetings, workshops, journal clubs and study groups. After you join, you can stay updated via email. Please use this link to register: https://neurostars.org/invites/be8ftCwsXT Best regards, Fleur Zeldenrust (OCNS Training & Education Chair) Malin Sandström (OCNS Training & Education Assistant)

April 22, 2022

Competition and workshop on behavior analysis

by Ann Kennedy

Dear all, I'm writing to advertise our Multi-Agent Behavior Workshop and associated machine learning competition, aimed at developing better tools for the quantification of animal behavior: The Multi-Agent Behavior Challenge on Unsupervised Learning<https://www.aicrowd.com/challenges/multi-agent-behavior-challenge-2022> is a competition to learn meaningful representations of behavioral video datasets in a self-supervised way. Teams are given collections of video and pose data of interacting animals (mice, flies, or ant-beetle pairs), and asked to submit an embedding that captures animals' actions; embeddings are evaluated on a gauntlet of hidden tasks to judge their ability to capture human-defined behaviors. Round 2 has just launched, and runs through May 20th, with $6,000 in cash prizes, plus the first 50 teams to beat task baselines receive up to $400 in AWS credits. Call for Papers: The Multi-Agent Behavior Workshop<https://sites.google.com/view/mabe22/home> at CVPR brings together researchers studying behavior of interacting agents, broadly defined (this year's invited speakers spans topics in biology, neuroscience, robotics, reinforcement learning, and autonomous driving.) We invite you to submit your work<https://sites.google.com/view/mabe22/call-for-papers> to present at our workshop poster session, held on June 20th at CVPR in New Orleans. Workshop organizers: Ann Kennedy (Northwestern), Jennifer J. Sun (Caltech), and Kristin Branson (Janelia) Best regards, Ann Ann Kennedy Assistant Professor Department of Neuroscience Northwestern University Feinberg School of Medicine Chicago, IL 60611 kennedylab.org<http://kennedylab.org/>

April 21, 2022

2 Postdoctoral positions in Computational Neuroscience - Cheng lab, Ruhr University Bochum

by Vinita Samarasinghe

Prof. Sen Cheng, Faculty of Computer Science, Ruhr University Bochum, invites applications for two full-time positions (39.83 hours/week) of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience. * The positionsstart on 1st July 2022and arefunded for 3 years.** _*Positions*_ 1. The successful applicant will work on a collaborative project (within the Collaborative Research Center “Extinction Learning” SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/>), together with experimentalists to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280. * compare the learning dynamics between individuals, species, learning phases and learning paradigms. * develop algorithms to analyze the learning dynamics. * develop and study computational models of learning dynamics. * coordinate research with other participating projects. The research centeris highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. 2. The successful candidate will model the function of episodic memory in spatial learning and other tasks using reinforcement learning within the Research Unit “Constructing Scenarios of the Past: A New Framework in Episodic Memory” FOR 2812 <https://for2812.rub.de/>. This project strives to find answers to the questions: * Why and how can specific experiences stored in episodic memory be helpful for learning? * How is behavior driven by episodic memory different from that driven by general knowledge, or semantic information? * How do different learning systems interact with one another? The research unit studies the cognitive and neuronal mechanisms underlying scenario construction, which is believed to lie at the heart of episodic memory retrieval. It employs and combines approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience. _*Qualifications*_ * Adoctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field. In exceptional cases, graduate students with a Masters degree in these fields, but nodoctorate degree, may be considered. * Relevant experience in mathematical modeling * Relevant research experience in neuroscience or a related field (only position 1) * Excellent programming skills (e.g., Python, C/C++, Matlab), * Excellent communication skills in English * The ability to work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation in the Faculty of Computer Science combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts (bachelor & master) and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

April 21, 2022

Postdoc / Research Fellow for complex network analysis: Critical events detection; Prague, Czech Republic

by Magda Pokorna

Postdoctoral or Research Fellow position is available to join the *Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>* for the project: /*“*//*Modelling and analysis of complex systems for safety of critical infrastructures“*/ as part of the National Center of Competence – Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. The project involves developing, implementing, optimizing and applying techniques for detection and prediction of critical events and regime transitions and their propagation in complex networks, with applications in societally important real-world systems such as social and communication networks, computer networks and large-scale industrial systems. **Applications will be reviewed on a rolling basis with a first cut-off point on May 30, 2022.** More information and application at https://www.cs.cas.cz/job-offer/NCK-postdoc-positions-Hlinka1/cs** ** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz, Web: http://cs.cas.cz/hlinka. Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic https://www.cs.cas.cz/

April 20, 2022

Postdoc / Junior Scientist in complex networks and information theory; Prague, Czech Republic

by Magda Pokorna

Postdoctoral / Junior Scientist position in complex networks and information theory is available to join the***Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>* for the project: *“Network modelling of complex systems: from correlation graphs to information hypergraphs“* funded by the Czech Science Foundation. The project involves developing, optimizing and applying techniques for modelling complex dynamical systems beyond the currently available methods of complex network analysis and game theory. The project is carried out in collaboration with the Artificial Intelligence Center of the Czech Technical University. **Applications will be reviewed on a rolling basis with a first cut-off point on April 30, 2022.** More information and application at https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka5-2021/en** ** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz. Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Web: http://cs.cas.cz/hlinka

April 20, 2022

CRNS Talk Series (6) - Live Talk by Prof. Jochen Triesch - Frankfurt Institute for Advanced Studies - Germany

by Amir Aly

Dear All * Apologies for cross-posting* The* Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. Jochen Triesch* from *Frankfurt Institute for Advanced Studies* - Germany on Wednesday, *April 27th* from *11:00 am *to *12:30 pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/94978385874?pwd=WXlOYXpJYzlQRnFQTmFYekloSDVsZz09… >> *Title of the talk*: Learning to see without supervision *Abstract*: Biological brains can learn much more autonomously than today’s AI systems and robots. How does this work and can we reproduce such autonomous learning abilities in artificial systems? Over the last years we have been studying this question for the case of visual perception. We have constructed models of how human infants learn to see the world in three dimensions, begin to track moving objects and learn to recognize them without any supervision. We have compared these models to biological data and validated them on physical robots. Studying the computational principles underlying these learning processes, we highlight effective information compression as the central driving force behind our brain’s ability to learn to see without supervision. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

April 19, 2022

Postdoc opportunity (ML/visual computational neuroscience), Kietzmann Lab

by Tim Kietzmann

Dear all, I am excited to be hiring a postdoc in the space of deep learning and visual computational neuroscience to join my group at the institute of cognitive science (University of Osnabrück, Germany). The full-time position is initially for 3 years, but can be extended. - Details about the position are provided here: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… - You can find out more about our work here: https://www.kietzmannlab.org/ - Information about research in Germany more generally: https://twitter.com/TimKietzmann/status/1482027695856828417 Feel free to contact me with any open questions. Best wishes Tim __________________________________ Prof. Dr. rer. nat. Tim C Kietzmann Professor for Machine Learning Institute of Cognitive Science University of Osnabrück Osnabrück, Germany Web: https://www.kietzmannlab.org Email: tim.kietzmann(a)uni-osnabrueck.de Twitter: @TimKietzmann

April 14, 2022

Postdoctoral Positions in Decision Neuroscience and/or Computational Psychiatry, Virginia Tech

by Chiu, Pearl

Dear All, we are excited to be hiring post-docs at Virginia Tech! Feel free to contact me with any questions. Best, Pearl -- Postdoctoral Associate Positions in Decision Neuroscience and/or Computational Psychiatry Fralin Biomedical Research Institute at Virginia Tech Carilion Roanoke, Virginia Multiple postdoctoral openings are available in the labs of Dr. Pearl Chiu and Dr. Brooks King-Casas at the Fralin Biomedical Research Institute at Virginia Tech Carilion (http://research.vtc.vt.edu/) Projects in the labs use a variety of human neuroscience methods (including fMRI, in vivo electrochemistry, MEG) to examine motivated behavior and social influences on decision-making with additional methods adapted from behavioral & computational neuroscience, experimental economics, computational psychiatry, and psychology. Ongoing projects focus on processes in individuals with and without psychopathology and address both basic and translational questions. Qualified candidates with basic science backgrounds are welcome, and training in applied science will be provided. For interested candidates, the labs provide opportunities to examine the functional neuroscience of decision-making and its disruption in depression, substance dependence, post-traumatic stress, personality disorders, and at-risk adolescents. The labs are located in the Fralin Biomedical Research Institute at Virginia Tech Carilion in Roanoke, VA, just off the beautiful Blue Ridge Parkway. The FBRI provides full access to outstanding infrastructure, including four research-dedicated Siemens 3T scanners, facilities for in vitro electrochemistry, neurosurgical collaborations for in vivo electrochemistry, and high-throughput computing clusters. Successful candidates will play lead roles in highly collaborative multidisciplinary scientific efforts. Minimum requirements for the position include: 1) a PhD in computational or cognitive neuroscience, engineering, psychology, experimental economics, or a related field; 2) facility with computational neuroscience, signal processing, Bayesian inference, cognitive neuroscience, or machine learning; 3) demonstrated potential for research excellence; 4) willingness to contribute to a positive, inclusive lab environment. Behaviorally- or clinically-oriented candidates with strong research backgrounds will be considered. Please forward a statement of interest and CV. Three letters of reference will be requested from candidates under final consideration. Consideration of applications will begin May 1 and will end when the positions are filled. Salary is competitive and will be commensurate with experience and qualifications. Virginia Tech Carilion is an Affirmative Action/Equal Opportunity employer and is committed to cultural diversity and compliance with the Americans with Disabilities Act. Applicants from diverse and underrepresented backgrounds are encouraged to apply. Send inquiries and materials to: Pearl Chiu, PhD and Brooks King-Casas, PhD chiup(a)vtc.vt.edu and bkcasas(a)vtc.vt.edu -- Pearl Chiu, PhD Associate Professor Fralin Biomedical Research Institute at Virginia Tech Carilion Department of Psychology, Virginia Tech VTC School of Medicine Salem VA Medical Center 2 Riverside Circle, R1110 Roanoke VA 24016 +1 540-526-2019 chiup(a)vtc.vt.edu

April 13, 2022

CNS*2022 EXTENDED deadline

by Thomas Nowotny

Dear Comp-Neuro, 31st Annual Computational Neuroscience Meeting (CNS*2022) Melbourne 16-20 July 2022 https://www.cnsorg.org/cns-2022 The CNS*2022 abstract submission deadline has been extended to Friday, 22 April at 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract Submission: https://cns.confmaster.net/ The call for tutorials and workshops remains open: CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2022-call-for-tutorials Deadline for proposals: 15 April 2022 CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals: 15 April 2022 Regards, Thomas Nowotny OCNS vice-president on behalf of the board of directors

April 11, 2022

CFP - Special Track: Embedded Neuroprosthetics, Technologies, and Devices, MCSoC-2022 - Dec 19-22, 2022, Malaysia

by Chun-Shu Wei

Dear Colleagues, The special track: Embedded Neuroprosthetics, Technologies, and Devices of the 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2022), is now calling for submissions. Topics of Interest include but not limited to: Neuroprosthetics and Neuroprosthetic technologies and devices Complex neural systems and communication Peripheral stimulation and recording Central stimulation and recording Neural stimulation and plasticity Functional electrical stimulation Deep brain stimulation Auditory and Cortical prostheses Peripheral nerve interfaces and Microelectrode array technology Brain-computer interfaces Assistive technologies Augmentative and alternative communication Biofeedback therapy Privacy, security, and neuroethics Robotic-assisted therapy Virtual reality tools Neural interfaces and neuromodulation Extracellular stimulation and recording The 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2022) aims to provide the world’s premier forum of leading researchers in the Embedded Multicore/Many-core SoCs software, tools, and applications design areas for academia and industries. From the 2018 edition, the MCSoC symposium targets new emerging topics related to multicore neuro-inspired computing architectures and systems. Prospective authors are invited to submit their contributions. Submission of a contribution implies that at least one of the authors will have a full registration to the symposium upon acceptance of his/her contribution. Submissions can include, technical and experimental, theoretical, conceptual, or a survey. https://mcsoc-forum.org/site/ Venue: University of Science, Malaysia (11800 Gelyor, Penang, Malaysia) Important dates: Abstract submission: May 30, 2022 Full Paper submission: June 5, 2022 Acceptance notification: July 31, 2022 Camera-ready paper: August 15, 2022 Symposium date: December 19-22, 2022 Best Paper Award and Journal Special Issues: Three accepted papers will be selected for best paper awards. Selected papers will be recommended to the following Journals for potential fast-track publications: (TBC). Proceedings Publication and Indexing The 15th MCSoC-2022 proceedings, including all technical tracks, special tracks, and special sessions and workshops papers, will be published by IEEE CS Press, which will be included in the Computer Society Digital Library CSDL and IEEE Xplore. All CPS conference publications are also submitted for indexing to EI’s Engineering Information Index, Compendex, and ISI Thomson’s Scientific and Technical Proceedings, ISTP/ISI Proceedings, and ISI Thomson. Submission System: https://edas.info/N29397 Track Chairs: Chun-Shu Wei, National Yang Ming Chiao Tung University, Taiwan Chul Kim, Korea Advanced Institute of Science and Technology, Korea

April 10, 2022

Neural model of brain dynamics of music: Lyrics, melodies, rhythms, and beats

by Grossberg, Stephen

Dear Colleagues, I have published a new article about the brain dynamics of music: Grossberg, S. (2022). Towards understanding the brain dynamics of music: Learning and conscious performance of lyrics and melodies with variable rhythms and beats. Frontiers in Systems Neuroscience, April 8, 2022. https://doi.org/10.3389/fnsys.2022.766239 This article shows how neural models that I recently published in my Magnum Opus can help to understand music and its links to other brain processes: Grossberg, S. (2021). Conscious Mind, Resonant Brain: How Each Brain Makes a Mind. New York: Oxford University Press. https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 https://global.oup.com/academic/product/conscious-mind-resonant-brain-97801… Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu

April 9, 2022

Open Master, PhD and Postdoc positions in Germany

by Tatjana Tchumatchenko

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD projects are currently open: A project exploring the intersection of protein dynamics and machine learning www.tchumatchenko.de/2022_PhD_position.pdf An additional PhD and postdoctoral positions will address the relation between neurological diseases, protein dynamics and network activity. www.tchumatchenko.de/A_PhD_and_Postdoc_positions_April2022.pdf When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-mainz.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

April 8, 2022

TEX2022: Bringing together Predictive Processes and Statistical Learning

by Yamil Vidal

Dear all, The registration for “TEX2022: Bringing together Predictive Processes and Statistical Learning” is now open. After our online meeting last year, this summer we want to welcome you for an in-person meeting in Trieste, Italy. The event will consist of morning lectures by the invited speakers and talks/posters by the attendees. There will also be plenty of time for social activities and informal discussions. While all presentations will be delivered in person, it will also be possible to attend online. You can find more information at the event’s website: *https://indico.sissa.it/e/TEX2022* <https://indico.sissa.it/e/TEX2022> If you are active on Twitter, please consider retweeting the event’s announcement: *https://twitter.com/CrepaldiLab/status/1512412553942601740* <https://twitter.com/CrepaldiLab/status/1512412553942601740> 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

April 8, 2022

Final reminder: EMBO Practical Course - Barcelona summer school for Advanced Modelling of Behavior (BAMB!)

by Alexandre Hyafil

The Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is an EMBO Practical Course <https://www.embo.org/conferences-training/> and is organized by the Centre de Recerca Matemática <http://www.crm.cat>. A limited number of travel grants <https://www.embo.org/funding/lecture-travel-and-childcare-grants/travel-gra…> will be available from EMBO. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (CRM, Barcelona) Máté Lengyel (Cambridge) Zhaoping Li (Tübingen) Alfonso Renart (Champalimaud) Marion Rouault (ENS Paris) Kim Stachenfeld (Deepmind) Chris Summerfield (Oxford / Deepmind) MH Tessler (Deepmind) Klaus Wimmer (CRM, Barcelona) Dates and location: September 1-8, downtown Barcelona, Spain Applications are open until April 13. Please see the course website for further details: www.bambschool.org.

April 8, 2022

INCF Neuroinformatics Assembly 2022: Registration and abstract submission are now open!

by INCF

INCF Neuroinformatics Assembly 2022: Registration and abstract submission are now open! We're happy to announce that the INCF Neuroinformatics Assembly 2022 <https://neuroinformatics.incf.org/> is scheduled to take place virtually on September 12-16! The Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. INCF Assembly 2022 will be hosted on the Gather platform. Who should attend? If you fit into either of the categories below you don't want to miss the INCF Assembly! - Neuroscience and/or neuroinformatics researchers interested in learning how to implement FAIR data management and sharing practices in their research, tools, and infrastructures. - Standards developers, infrastructure providers, and software developers interested in learning about the latest advancements in the state of the art, increasing community adoption of their infrastructures and software, improving their craft, and those dedicated to working collaboratively with the community to develop solutions that support open, FAIR neuroscience. This year we are covering the following topics: - FAIR data & workflows - Computational neuroscience - Digital brain atlasing - EEG - Neuroimaging - Diversity & inclusion in neuroinformatics Find all session descriptions here <https://neuroinformatics.incf.org/2022/sessions> Important dates: - Registration opens: April 8 - Abstract submission opens: April 8 - Abstract submission closes: May 9 - Assembly: September 12-16: This year's Assembly will include keynotes, workshops, tools and infrastructure demonstrations, investigator presentations from selected abstracts, and poster presentations. New this year is a new platform for a type of “speed dating” for neuroscientists and neuroinformaticians, we have partnered with Zoohuddle to improve the virtual poster presentation experience. Via Zoohuddle, participants will be able to submit abstracts, review other abstracts, and rank other abstracts based on who they would most like to meet. Each abstract submitter will then receive a schedule of 1-1 “huddles.” We hope to see you at the INCF Neuroinformatics Assembly 2022 <https://neuroinformatics.incf.org/>! <https://neuroinformatics.incf.org/> /the INCF Team

April 8, 2022

Funded PhD in large-scale brain modelling

by Goodfellow, Marc

Dear Colleagues, We are offering a funded PhD studentship at the University of Exeter, aiming to advance methods for modelling and understanding large-scale brain dynamics. The successful candidate will be part of an interdisciplinary team, based across the Living Systems Institute, the department of Mathematics, as well as Psychology. They will be part of a vibrant community of researchers focussed on the development of mathematical methods to improve our understanding of the brain in health and disease. I would be very grateful if you could forward the advert below to anyone who may be interested: https://www.exeter.ac.uk/study/funding/award/?id=4335 Best wishes Dr. Marc Goodfellow, University of Exeter http://emps.exeter.ac.uk/mathematics/staff/mg401

April 8, 2022

NEST Conference 2022 - call for contributions is open

by Hans Ekkehard Plesser

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2022. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We explicitly encourage young scientists to participate in the conference! This year's conference will again take place as a virtual conference on Thursday/Friday 23/24 June 2022. Submission of contributions is now open! We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 30 April 2022 - Deadline for NEST Initiative membership applications eligible for fee reduction 11 May 2022 - Deadline for submission of contributions 03 June 2022 - Notification of acceptance 17 June 2022 - Registration deadline 23 June 2022 - NEST Conference 2022 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

April 7, 2022

PhD and postdoc positions in distributed lifelong learning / RL

by Andrea Soltoggio

Dear All, I would like to advertise a Ph.D. and a postdoc position in my research group at Loughborough University to work on distributed lifelong learning / reinforcement learning, with a particular focus on neuro-modulatory approaches. If interested, please email me. Best regards, Andrea Soltoggio Further additional links to our latest news and papers: https://www.azorobotics.com/News.aspx?newsID=12518 https://www.nature.com/articles/s42256-022-00452-0.epdf https://openreview.net/forum?id=BJge3TNKwH https://arxiv.org/abs/1703.10371 Details. This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA projects Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL). The researchers will join a growing research group of Ph.D. students and postdocs working in the same area, and have access to the latest computational devices such as Nvidia A100 cards. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported. Loughborough University Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career. -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

April 7, 2022

Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. We design computational neural networks inspired by the human brain and examine what enables the networks to acquire human-like intelligence. Please send the required documents if you are interested in being considered. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — 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

April 7, 2022

Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses

by Erik De Schutter

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp) Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu) We have two postdoctoral positions open and Japan is finally issuing visa again. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net) research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

April 7, 2022

CAMP summer course on computational neuroscience: announcement.

by U.S.Bhalla

Dear Colleagues, We would like to announce CAMP@Bangalore 2022 from 23 July 2022 to 7 August 2022, in Bangalore, India. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — Neuromodulation and Cell Diversity. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. The NCBS Campus has pleasant grounds, sports facilities, and the weather in late July is mild with moderate rain. There is no registration fee. Students are advised to obtain independent travel grants. Please visit the course website https://camp.ncbs.res.in/ for more details about this year's course and past courses. Application deadline: 30 April 2022 Referee letters must reach by 2 May 2022 Speakers include: Arvind Kumar KTH Royal Institute of Technology, Sweden Gilad Silberberg Karolinska Institutet, Sweden K.T. Blackwell George Mason University, USA Peter Dayan Max Planck Institute for Biological Cybernetics, Germany Raffaella Tonini Istituto Italiano di Tecnologia, Italy Rishikesh Narayanan Indian Institute of Science, Bangalore Sho Yagishita University of Tokyo, Japan Srikanth Ramaswamy Newcastle University, UK Upinder Bhalla National Centre for Biological Sciences, Bangalore Vatsala Thirumalai National Centre for Biological Sciences, Bangalore Thank you, Course Organizers CAMP 2022 Arvind Kumar Rishikesh Narayanan Upinder S. Bhalla

April 6, 2022

Available Ph.D. Position in Developmental Robotics / Human-Robot Interaction

by Amir Aly

Dear All, *Apologies for cross-posting* We are pleased to announce an opportunity for a funded Ph.D. studentship about (*Computational Modelling of Language Compositionality through Human-Robot Interaction*) at the Center for Robotics and Neural Systems (CRNS) at Plymouth University, UK. The closing date for applications is *12 noon on 04 May 2022* *(funding conditions for the international (non-home fees / non-UK-based) students are available in the link below)*. This exciting project tries to investigate language compositionality (*from the word to sentence levels*) through human-robot interaction with a view to making a robot able to understand human instructions. This requires *inferring the* *latent syntactic structure* of language through perceptual information (e.g., visual and/or haptic perception) and defining its mechanism of compositional development. This project will set the basis for learning the meaning of words and their syntactic categories (e.g., nouns, verbs) through perception in the surroundings, and learning language grammar - through an unsupervised approach - so as to understand phrases and sentences (*more details and research questions are available in the link below*). More details *about the topic*, *how to apply*, *eligibility criteria for home students / international students*, *and* *funding conditions* are available at: https://www.findaphd.com/phds/project/computational-modelling-of-language-c… <https://www.findaphd.com/phds/project/computational-modelling-of-language-c…> Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth on FindAPhD.com <https://www.findaphd.com/phds/project/computational-modelling-of-language-c…> PhD Project - Computational Modelling of Language Compositionality through Human-Robot Interaction at University of Plymouth, listed on FindAPhD.com www.findaphd.com If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

April 5, 2022

Four lectureships available at University of Sussex

by Thomas Nowotny

Dear comp-neuro, four permanent positions at the level of lecturer (assistant professor) are available at University of Sussex due to our rapid expansion in Computer Science and AI. The lectureships are for any topics in Computer Science/Informatics, including computational neuroscience and bio-inspired AI. Please get in touch if you want to know more. The full advert is here: https://www.sussex.ac.uk/about/jobs/lecturer-com-sci-8058 Come and work with us in the beautiful city of Brighton on the South coast of England. Best regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> [../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny] I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

April 4, 2022

The interplay of complex and coherent dynamics in brain function; Cergy (France) May 18-22 2022

by bgutkin

The HYBRID workshop The interplay of complex and coherent dynamics in brain function https://complexityparisseine.wordpress.com/ <https://complexityparisseine.wordpress.com/> will take place at Cy Advanced Studies , Neuville sur Oise (France) from 18-20 May 2022. This international workshop is the final act of the ANR Project Exact Reduction of Multiscale Neural Dynamics ERMUNDY involving CY Cergy Paris Université, École Normale Supérieure in Paris and Institut de Neurosciences des Systèmes in Marseille. Our aim is to bring in Neuville-sur-Oise scientists working in different disciplines ranging from applied mathematics to neuroscience, from physics to biology in order to address a topic of general interest as the emergence of complex and coherent dynamics in the brain. If you are interested to follow the workshop via ZOOM you should register here: https://univ-amu-fr.zoom.us/meeting/register/tZEuceypqjItE9ASdbQAOwoovh7EJc… <https://univ-amu-fr.zoom.us/meeting/register/tZEuceypqjItE9ASdbQAOwoovh7EJc…> In case you would like to come (even for 1 single day) and eventually present a poster, you should register here : https://complexityparisseine.wordpress.com/contact/ <https://complexityparisseine.wordpress.com/contact/> due to COVID restrictions only 20 places are left and they will be reserved in priority for those presenting a poster. The organizing committee A. Torcini, B. Gutkin, D. Battaglia, M. di Volo

April 4, 2022

Coordinator position 'Diversity Internship Programme', Tuebingen, Germany

by Susan Fischer

---- Apologies for cross-posting ---- In an exciting venture, the Max Planck Institute for Biological Cybernetics has created a new internship programme, targeting students from currently underrepresented communities. The Institute investigates information processing in the brain for which it uses experimental, theoretical and computational methods to study perception, memory, decision-making, motor performance and more, and to develop appropriate recording and imaging techniques. We now invite applications for a part-time position for a Coordinator of the Computation and Cognition Tübingen Summer Internship (CaCTüS internship) (m/f/d;). This position is limited until 31 October 2023 in the first instance. The internship aims to improve diversity, equity and inclusion in animal, human and machine intelligence research by offering paid research stays to students from currently underrepresented groups to work on projects suggested and supervised by early career researchers. By providing hands-on research experience, access to first-class research facilities and scientific networks at the start of the students’ careers, the initiative counteracts systemic disadvantages and empowers students to continue their academic career and to develop their full potential. Key Duties & Responsibilities: In your role as CaCTüS Coordinator you will be responsible for the implementation and the overall management of the internship. You will contribute to the planning, organisation, implementation and maintenance of the programme’s activities, systems and processes and serve as the point of contact for potential candidates/enrolled interns. You will also identify and assess further potential external funding opportunities and contribute to the strategic development and promotion of the initiative. Full job description and detailed information about the position can be found on our website at: https://jobs.tue.mpg.de/jobs/168 ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & Department for Sensory and Sensorimotor Systems, Prof Zhaoping Li Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

April 4, 2022

Postdoctoral Scholar in Computational/Theoretical Neuroscience (Western University)

by Lyle Muller

The lab of Lyle Muller (http://mullerlab.ca<http://mullerlab.ca/>) at the Department of Mathematics and the Western Institute for Neuroscience (Western University, London, Ontario) has an open postdoctoral position in computational and theoretical neuroscience. This scientist will work with an international NeuroNex consortium (http://nxwm.io) studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Research in this project utilizes a combination of large-scale numerical simulations, supervised/unsupervised learning, and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Both our group and the University are deeply committed to fostering diversity in the sciences, and applications from underrepresented groups are strongly encouraged. Interested candidates can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV and statement of interest. Review of applications will begin on 18 April 2022. -- Lyle Muller http://mullerlab.ca

April 4, 2022

Deadline extension - 31st International Conference on Artificial Neural Networks ICANN 2022, Sept 6-9, Bristol, UK

by Paolo Masulli ENNS

31st International Conference on Artificial Neural Networks ICANN 2022 https://e-nns.org/icann2022 *Submission deadline extended to: 13 April 2022* Bristol, United Kingdom - *Hybrid event* 6 - 9 September 2022 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2022 the Department of Computer Science and Creative Technologies of the University of the West of England, in Bristol, United Kingdom will organise ICANN 2022. This will be held at Frenchay Campus from 6 to 9 September 2022. The conference is currently planned as a *hybrid event* with some presence and some online participation if possible. We will continuously monitor the situation in the next few months according to the overall health developments. * **CONFERENCE TOPICS* ICANN 2022 is a conference featuring tracks in Brain-inspired Computing and Machine Learning in Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: *Machine Learning*: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information-theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI. *Brain-inspired Computing*: Cognitive models, Computational Neuroscience, Self-organisation, Bioinspired Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action. *Neural Applications for*: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech and Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2022 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *Call for Special Sessions and Workshops* ICANN 2022 organizers cordially invite internationally recognised experts to organise Special sessions and Workshops within the general scope of the conference. Proposals should be sent to ICANN2022(a)uwe.ac.uk *CALL FOR PAPERS* Authors willing to present original contributions in either the oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots, the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2022/ *IMPORTANT DATES* Deadline for special session and workshop proposals: 28 Feb 2022 Opening of contribution submissions: 21 Feb 2022 Deadline for full paper and extended abstract submission: 13 Apr 2022 Notification of acceptance: 20 Jun 2022 Camera-ready paper upload: 30 June 2022 Deadline for author registration and early registration at early rate: 30 June 2022 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* *General Chairs* Elias Pimenidis – UWE Bristol, UK Angelo Cangelosi – University of Manchester, UK *Organising Committee Chairs* Tim Brailsford – UWE Bristol, UK Larry Bull – UWE Bristol, UK *Honorary Chairs* Stefan Wermter – University of Hamburg, Germany (ENNS President) Igor Farkaš – FMPI, Comenius University in Bratislava, Slovakia *Programme Committee Chairs* Plamen Angelov – Lancaster University, UK Mehmet Aydin – UWE Bristol, UK Chrisina Jayne – Teesside University, UK Elias Pimenidis – UWE Bristol, UK *Communication Chairs* Paolo Masulli – ENNS, Technical University of Denmark Kristína Malinovská – FMPI, Comenius University in Bratislava, Slovakia Antonios Papaleonidas – Democritus University of Thrace, Greece

April 3, 2022

FACM-22 Conference 'New Perspectives in Math Biology' May 20-21 (2022) NJIT, Newark NJ

by Victor Matveev

On May 20 and 21, 2022, the 17th Annual Conference on Frontiers in Applied and Computational Mathematics (FACM '22) will be held at the New Jersey Institute of Technology (NJIT) in Newark, New Jersey. The theme of FACM '22 Conference is "New Perspectives in Mathematical Biology." https://sites.google.com/njit.edu/facm2022/home Confirmed plenary speakers are: Carina Curto (Pennsylvania State University) Anita Layton (University of Waterloo) Grzegorz Rempala (Ohio State University) Corina Tarnita (Princeton University) FACM '22 will feature 4 minisymposia that cover a wide range of topics in math biology: (1) *learning paradigms in real and artificial neuronal networks,* (2) collective behavior in biological populations, (3) stochastic modeling at different scales, and (4) biofluids: machine learning and data-driven approaches. A poster session will run concurrently over the 2 days of the meeting. Pending NSF support, funds to cover all or part of the travel costs and local accommodation costs may be available for students, postdocs, and junior faculty. Applications by members of underrepresented groups, minorities and women are particularly encouraged. A combined poster abstract submission, travel award application and registration form (due April 15, 2022) is available at the conference homepage: https://sites.google.com/njit.edu/facm2022/home There is no registration fee for this conference. NJIT campus is located in close proximity to two train stations, the Newark Liberty International airport, and is accessible by public transportation from New York City: https://www.njit.edu/about/maps-directions FACM'22 Organizing Committee: Amitabha Bose (co-Chair), Casey Diekman, Simon Garnier, Enkeleida Lushi, James MacLaurin, Victor Matveev (co-Chair), Peter Thomas, Yuan-Nan Young -- ----------------------------------------------- Victor Matveev, Professor Applied Math, Biophysics, Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 matveev(a)njit.edu

April 1, 2022

INCF/OCNS Software WG session on NetPyNE (4th April: 1600 UTC)

by Ankur Sinha

Dear all, Apologies for the cross post. Please join us for the next INCF/OCNS Software working group "dev session" where Joe Graham will speak to us about NetPyNE: https://ocns.github.io/SoftwareWG/2022/04/04/dev-session-joe-graham-netpyne… - Date: April 4, 2022, 1600 UTC (Click here[1] to see your local time). - Location (Zoom): (login to Zoom required): https://ucl.zoom.us/j/99620419452?pwd=SkZlQnJmWWZVczNURkp2azVOZkhzUT09 Abstract: NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator. The NetPyNE GUI is available from a variety of resources: Neuroscience Gateway Portal (NSG); Open Source Brain (OSB) ; Human Brain Project (HBP) EBRAINS; and the NIH SPARC initiative. The NetPyNE source code is available on GitHub. More information is available on the NetPyNE website. During this dev session, I will give an overview of NetPyNE, go through an interactive demo using the NetPyNE GUI, describe my personal development workflow using virtual environments, and then go through two big dev projects I worked on: (1) documenting code inline and online using docstrings, Sphinx, Napoleon, and autodocsumm, and (2) separating and standardizing analysis and plotting. --------- The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG on our GitHub repository[3]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Jo… [2] https://github.com/OCNS/SoftwareWG/issues -- 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

April 1, 2022

Postdoctoral position in computational neuroscience

by Maxim Bazhenov

Applications are invited for NIH funded post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study role of sleep in memory and learning using sophisticated computer models of brain dynamics. This project involves close collaboration with experimental laboratories. The ultimate goal of the work is to understand how sleep rhythms contribute to consolidation of memory for recent learning and how sensory or electrical stimulation during sleep can enhance memory consolidation (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019). Our lab research interests also include other topics in neuroscience (e.g., olfaction, epilepsy) and artificial intelligence (e.g., lifelong learning, generalization, adversarial robustness) and lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be used to understand network dynamics that are involved in the processes of memory consolidation during sleep, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Programming experience with C/C++ is required. Knowledge of PYTHON, PyTorch or MATLAB is a plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

March 31, 2022

Google Summer of Code: model and experimental data sharing on Open Source Brain

by Padraig Gleeson

--Apologies for cross-posting-- Google Summer of Code <https://summerofcode.withgoogle.com/> is a global, online program focused on bringing new contributors into open source software development. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF <http://incf.org/> has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative <http://www.opensourcebrain.org> is encouraging students to apply to be part of this. The successful candidate(s) for our 2 proposals will take published computational models and experimental datasets and convert them into open, standardised formats (e.g. NeuroML and NWB) and share them on the OSB platform as a resource for the wider community. The two projects are: *Open source, cross simulator, large scale cortical models in NeuroML and PyNN* <https://neurostars.org/t/gsoc-2022-project-idea-9-1-open-source-cross-simul…> These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. *Conversion of public neurophysiology datasets to Neurodata Without Borders (NWB) format* <https://neurostars.org/t/gsoc-2022-project-idea-9-2-conversion-of-public-ne…> This project will involve converting a number of publicly available datasets to NWB format, adding structured metadata to ensure maximal readability and reusability of the data. The converted datasets will be made available through the new NWB Explorer on the Open Source Brain repository (http://nwbexplorer.opensourcebrain.org) which allows visualisation of the data as well as interactive analysis through an inbuilt Jupyter notebook. *This opportunity is particularly relevant for Masters & PhD students currently working in model development/data analysis in neuroscience. Many students **are already reusing/converting/updating existing models and data as part of their work and this is a great opportunity to get paid extra to do this! *** Closing date for student applications: *19 April 2022* Period of working on projects: *13 June - ***12 *September 2022* Please get in contact if you have any questions. -- ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

March 31, 2022

Postdoc in Computer Vision / Machine Learning / Applied Mathematics

by Tony Lindeberg

Postdoc in Computer Vision / Machine Learning / Applied Mathematics Job description The Division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm, Sweden is seeking a Postdoc in Computer Vision / Machine Learning / Applied Mathematics to handle scale-dependent image information in deep networks. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together. The selected candidate will work closely together with the project leader Tony Lindeberg. Qualifications requirements * A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline * We are seeking a candidate with a PhD in Computer Vision, Machine Learning, Applied Mathematics or a related discipline dealing with automated analysis of image information. * Previous experience with experimental evaluations using deep learning architectures applied to image data is necessary, preferably PyTorch. * A theoretical background in continuous mathematics for modelling convolutions and the influence of image transformations on image data is also necessary. Preferred qualifications As a person you have excellent scientific and collaborative skills, in combination with independence, with very good ability to get into new scientific theories and conduct implementations and experimental evaluations in close collaboration with the research environment you are working in. The preferred candidates should have demonstrated expertise (through publications) in any one of the following: * Deep networks that handle image information for computer vision tasks, including experimental evaluation using modern architectures for deep networks. * Continuous models for deep networks applied to image information. * Theoretical modelling of scaling transformations or other image transformations applied to automated processing of image information. For further information and information about to how to apply, see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:490734/ Application deadline: May 2, 2022 The position is offered for a period of two years. [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology Computational Brain Science Lab Division of Computational Science and Technology, CST SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 https://www.kth.se/profile/tony/

March 31, 2022

brain waves and topology

by Yuri Dabaghian

NIH-funded postdoctoral position is available in the group of Dr. Yuri Dabaghian at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests in neuroscience and mathematical physics, network dynamics, and topological data analyses. Some projects are based on studying electrophysiological data, some are theoretically motivated. We are specifically interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidate will develop data-driven hippocampal neuronal network models, develop and creatively apply novel tools for the brain wave (EEG) analyses, Topological Data Analysis of spiking data, etc. Strong background in quantitative disciplines (a PhD and ongoing interest in computational neuroscience, physics or mathematics), plus willingness to do programming and to analyze experimental data is required. All appointments are renewable for at least four years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center, participate in collaborations with groups at Baylor College of Medicine, Rice University, University of Houston. To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu) The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We strive for a diverse and inclusive environment, and encourage applications from members of any identity.

March 30, 2022

IMRF abstract submission deadline extended to April 07

by Marc Ernst

Dear friends of IMRF, upon multiple request, we decided to extend the abstract submission deadline for the International Multisensory Research Forum 2022 (IMRF2022) by some days to April 07th. You can submit new abstracts for talks and posters until that date (here <https://www.conftool.net/imrf2020>). In case you submitted an abstract already previously for 2020 or 2021, please make sure to verify that your abstract and information is still up-to-date. To do so, you can log into the system (here <https://www.conftool.net/imrf2020>) and update your abstract information at any time until the deadline. In case you will not be able to make it to IMRF this year, which I would deeply regret, but you submitted an abstract earlier in the past two years, please make sure to withdraw your abstract (here <https://www.conftool.net/imrf2020>). In case you submitted an already accepted symposium in 2020, these symposia will keep their accepted status. But please as organiser of the symposium verify that all presenters of the symposia are still on board (here <https://www.conftool.net/imrf2020>). In cases where this is necessary please update the symposium information - abstracts of the symposia can be updated by the organiser of the symposium. In case you have a drop out of one or two speakers it is best to exchange them by new speakers. As for registration, I would recommend to register early (here <https://www.conftool.net/imrf2020>). At the moment it seems like the spatial restrictions may be loosened. But with this virus you never know. Also, please start looking for a hotel room early. There is the Danube Festival the same week of IMRF - a nice festival along the Danube river. We reserved some rooms but only until a month prior to the meeting. When booking, please refer to “IMRF” to get our conference rates. Looking forward to finally seeing you in Ulm in summer 2022. Best, Marc --------------------------------------------------------- Prof. Dr. Marc Ernst Applied Cognitive Psychology Faculty for Computer Science, Engineering & Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room nr.: 43.3.103 mail: marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de> phone int.: +49-(0)731-50 320 50 phone ext.: +49-(0)731-50 356 27 sekr: +49-(0)731-50 320 51 mobile: +49-(0)152-22 543 156

March 30, 2022

Workshop: The interplay of complex and coherent dynamics in brain function. May 18-20, Cergy

by boris gutkin

Interplay of complex and coherent dynamics in brain function will take place at CY Advanced Studies at Neuville-Sur-Oise from 18th to 20th May 2022 thanks to the support of CY Cognition, CYAS, Labex MME-DII. More information can be found here: https://complexityparisseine.wordpress.com/ The workshop will take place in a hybrid form, with a group of participants (at most 50) in presence at CYAS and the rest connected via Zoom. There will be the possibility to present posters of your research activity up to a maximum of 20 posters, There are no costs, but if you are interested you should register in both cases either in presence or in remote (Zoom) by April 30th. Organisers: Alessandro Torcini (CYU), Demian Battaglia (INS marseille), Boris Gutkin (ENS, Paris) and Matteo di Volo (University of Parma, Italy)

March 29, 2022

additional 2 postdoc positions (4 in total) at Imperial College

by Schultz, Simon R

Dear all, In addition to the previously advertised two experimental positions, we have two theoretical postdoc positions available: Four post-doc positions in the Statistical Physics of Cognition Two theoretical and two experimental postdoctoral positions each for a duration of up to 36 months starting as soon as possible after 1st April 2022. All four post-docs will form a collaborative team, will be affiliated with the Departments of Mathematics and Bioengineering at Imperial College London, and will work together with a core team consisting of Simon R Schultz, Henrik Jeldtoft Jensen, Fernando Rosas, Mauricio Barahona, Lucilla de Arcangelis, Ann Go and Amanda Foust. As for the two theoreticians we are looking for people familiar with statistical mechanics of complex systems, including SOC, network theory and information theory. The theory positions can be found here: https://www.imperial.ac.uk/jobs/description/NAT01116/research-associate-mat… The details for the experimental positions are here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… To discuss the theoretical positions, please contact Henrik Jensen (h.jensen(a)imperial.ac.uk<mailto:h.jensen@imperial.ac.uk>) To discuss the experimental positions, please contact Simon Schultz (s.schultz(a)imperial.ac.uk<mailto:s.schultz@imperial.ac.uk>) Best wishes Simon -- Prof Simon Schultz Dept of Bioengineering, Imperial College London http://www.schultzlab.org Director, Imperial College Centre for Neurotechnology http://www.imperial.ac.uk/neurotechnology For Centre admin, email: Dr Kate Hobson, k.hobson(a)imperial.ac.uk

March 29, 2022

Atsushi IRIKI speaking on March 31 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On March 31, the Developing Minds global online lecture series will feature Atsushi IRIKI, RIKEN Japan: "Self-in-the-world map evolved in the primate brain as a basis of civilized Homo sapiens“ The live event will take place via zoom at: 22:00 JST (Japan Standard Time) 15:00 CET (Central European Time) 13:00 UTC (Universal Coordinated Time) 9:00 EST (Eastern Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract After a specific point in history, hominin evolution accelerated to a level that could not be accounted for by natural selection alone, but an alternative mechanism has been proposed based on mutual interaction among neural, cognitive, and ecological niches in a positive feedback loop (triadic niche construction; TNC). Nevertheless, the trigger events for the cognitive revolution of Homo sapiens as well as the reasons for this event being limited to a single species remain unknown. Using a multidisciplinary approach involving psychology, neurobiology, and phenomenology, I will propose a shift in the mechanisms underlying TNC, from TNC- 1 in primates/hominids to TNC-2 in Homo sapiens, to answer these questions. As the primates and hominin brain expanded during TNC-1, latent cognitive capabilities were incubated within its neural framework to be expressed with a simple rewiring among brain areas in TNC-2, a quick and inexpensive process but one that requires a unique set of preconditions to commence. This process was bootstrapped by the advanced function of “projection,” which enabled humans to recognize the “self” in particular time and space in the world, allowing the manipulation of this world (in both physical and symbolic dimensions) again in a positive feedback loop. Based on these, a new concept of a somatocentric holistic self will be proposed, represented as a more comprehensive body-in-the-world map in the primate brain, taking into account evolutionary aspects that characterize the human cognition and its implication in the emergence of self-consciousness. Paper: Iriki A, Suzuki H, Tanaka S, Bretas R, Yamazaki Y. (2021). The sapient paradox and the great journey: Insights from cognitive psychology, neurobiology and phenomenology. Psychologia, https://doi.org/10.2117/psysoc.2021-B017. Bio Atsushi IRIKI received his Ph.D. in Neuroscience from Tokyo Medical and Dental University in 1986. He held research associate positions at the Tokyo Medical and Dental University and then at The Rockefeller University (USA). He joined the faculty of Toho University Medical School as an assistant professor and then as an associate professor in Physiology (1991-1999). In 1999, he returned to Tokyo Medical and Dental University as a full professor and chairman of Cognitive Neurobiology. In 2004, Atsushi IRIKI was appointed a head of Laboratory for Symbolic Cognitive Development at RIKEN Institute (first at its Brain Science Institute and then 2018 onward at Center for Biosystems Dynamics Research). He is currently a visiting professor of University College London (UK) and Nanyang Technological University (NTU, Singapore), an adjunct professor of Keio University, a research professor of Kyoto University, a senior fellow of the Canadian Institute for Advanced Research (Canada), founding co-director of RIKEN-NTU Research Centres (Singapore & Japan). Web: https://www.riken.jp/en/research/labs/bdr/symbol_cogn_dev/index.html Best regards, 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

March 28, 2022

Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada

by Joern Davidsen

Dear colleagues, We are recruiting a postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. Please forward to anyone who you think might be interested. For more info (review of applications will begin on May 1st), please see below or https://www.ucalgary.ca/complexity/positions or reach out to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Best wishes, Joern. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen> ************************************************************************************ Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada We are recruiting a talented postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. Specifically, we are looking for a postdoctoral candidates interested in what mathematical principles predict (1) how the connectivity structure of neural networks – their connectomes – combine with the dynamics of nodes and edges to control the dynamics and statistics of the network, (2) how the brain learns these connectomes to produce generative models predictive of their environment, and (3) how such models are affected by psychedelic drugs. The overarching aim of the project is to understand how mental models become corrupted in depression/anxiety, and how psychedelics appear to reverse the corruption. A variety of world-class data sets on the structure and function of the brain are available to guide theoretical advances in the understanding of underlying brain computation, particularly in learning, perception, and decision making. The position is open immediately with a primary location in Calgary. It is partially funded by the Pacific Institute for Mathematical Sciences<https://www.pims.math.ca/> and is aimed to strengthen the link between the computational neuroscience community at the University of Calgary (Complexity Science Group<https://www.ucalgary.ca/complexity/>, Hotchkiss Brain Institute<https://hbi.ucalgary.ca/>) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience<https://www.uleth.ca/artsci/neuroscience/about>) with the other network members including the Computational Neuroscience Center<https://cneuro-web01.s.uw.edu/> at the University of Washington, and centers in Montreal and Paris. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin May 1st, 2022, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

March 26, 2022

PostDoc positions on neuromorphic sensing for condition monitoring

by Fredrik Sandin

The Embedded Intelligent Systems Lab (EISLAB) at the Luleå University of Technology in Sweden is inviting applications for two 2-year PostDoc positions focusing on neuromorphic sensing for condition monitoring. The scholarships are intended for research that aims to develop knowledge about neuromorphic and event-driven sensor systems for advanced condition monitoring, e.g. investigating filterbanks, charge amplifier designs, event-based sampling, and machine learning based signal processing methods suitable for implementation with spiking neural networks and neuromorphic processors. The project is a collaboration between EISLAB and the division of Machine Elements and is funded by The Kempe Foundations. By taking part in this collaboration you will work in an international, creative resourceful environment with an extensive international contact network. Further information about the positions, requirements and how to apply is available here: - https://www.ltu.se/ltu/stipendier-priser/postdoc-stipendier?l=en - https://web103.reachmee.com/ext/I003/583/main?site=14&validator=47967adc563… ========================= Professor Fredrik Sandin EISLAB, Machine Learning Luleå University of Technology 971 87 Luleå, Sweden www.ltu.se/staff/f/fresan-1.10646?l=en

March 26, 2022

MBL Methods in Computational Neuroscience Course - Deadline March 30

by Stephen A. Baccus

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 28 to August 24, 2022, and the online application form can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 30*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2022 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2022 Faculty: Larry Abbott, Columbia University Tim Behrens, Univ. College London Emery Brown, MIT Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Albert Compte, IDIBAPS Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind

March 25, 2022

Final Call For Papers: RaPID4@LREC-2022 and PSST Challenge ...

by Dim X

Final Call for Papers: The 4th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" Full-day workshop: co-located with LREC 2022 | Marseille, France | June 25th, 2022 Submission deadline: Sat., 9th of April, 2022 (extended) Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ Website and more details: https://spraakbanken.gu.se/en/rapid-2022 Contact: Dimitrios Kokkinakis (dimitrios.kokkinakis(a)gu.se) RaPID-4 Organizing committee: Kathleen C. Fraser, National Research Council, Canada; Dimitrios Kokkinakis, University of Gothenburg, Sweden; Kristina Lundholm Fors, Lund University, Sweden; Johan Skoog, University of Gothenburg, Sweden; Charalambos K. Themistocleous, Johns Hopkins University, USA; Athanasios Tsanas, The University of Edinburgh, UK ************************************************************************************ Collocated shared task: for papers related to the Post-Stroke Speech Transcription, PSST Challenge: https://psst.study/ Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ PSST Contacts: Steven Bedrick (bedricks(a)ohsu.edu) or Gerasimos Fergadiotis ( gfergadiotis(a)pdx.edu) PSST Organizing committee: Steven Bedrick, Oregon Health and Science University, USA Gerasimos Fergadiotis, Portland State University, USA Robert Gale, Oregon Health and Science University, USA Mikala Fleegle, Portland State University, USA ************************************************************************************ RaPID-4 and the PSST ask for full papers, 4 to 8 pages, plus more pages for references if needed, which must strictly follow the LREC stylesheet: https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/ ************************************************************************************ Description: RaPID-4 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia. Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. the annotation, description, analysis and interpretation of linguistic, paralinguistic and extra-linguistic aspects of such data (i.e. spontaneous spoken language, transcripts, eye tracking, wearable and sensor measurements, digital biomarkers, etc.). Processing of such data can be used to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations. Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. ************************************************************************************

March 25, 2022

2 Postdoctoral Research Positions at Imperial College London

by Schultz, Simon R

These two posts form part of an interdisciplinary collaborative research project, “Statistical Physics of Cognition” funded by the UKRI and Wellcome. The aim of the project is to understand how neuronal avalanches relate to cognition. The postholders will be part of an interdisciplinary team including theorists, experimental neuroscientists and optical physicists aiming to solve this problem. The approach taken will be to perform large-scale neuronal imaging experiments to record the activity of thousands of neurons in the brains of mice performing cognitive tasks, to use advanced methods to analyse how distance from criticality is task-dependent, to develop models describing the role of avalanche dynamics in cognition, and to use graph theory, information theory and complexity theory to advance our understanding how large-scale network dynamics affect cognitive performance. As well as advancing our understanding of the way the brain operates, this may lead to new insights into how neurological disorders such as Alzheimer’s Disease cause degradation in cognitive function, and aid in the development of future treatments. Based in the Neural Coding and Neurodegenerative Disorders Laboratory led by Prof Simon Schultz, we are seeking two postdoctoral fellows to carry out neuroscience experiments involving mesoscopic two-photon imaging of neural activity from thousands of neurons in behaving mice. Applicants should have research experience in either systems neuroscience or in biomedical optics. A PhD in neuroscience, physics, or a cognate discipline is essential. Post 1 – Multiphoton optical microscopy. You will have expertise in biomedical optics, including the construction, maintenance and use of advanced optical apparatus for fluorescence imaging of neural activity, and an interest in neuroscience. Post 2 – Optical neurophysiology. You will have expertise in systems neuroscience, including experience in performing in vivo neurophysiology experiments, and expertise in processing and analysis of neurophysiological data. You will be based in the Neural Coding and Neurodegenerative Disease Laboratory led by Prof Simon Schultz and Dr Amanda Foust, in the Department of Bioengineering at Imperial College London. As well as members of the group, you will work closely with colleagues in the Department of Mathematics, including Prof Mauricio Barahona and Prof Henrik Jensen, as well as two theoretical postdoctoral fellows working as part of the collaborative project. You will also work together with external collaborators, including particularly Dr Fernando Rosas (University of Sussex) and Prof Lucilla De Arcangelis (University of Campania). The link to the official job advertisement and application portal can be found here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… I am happy to discuss the positions via email. (Please email me directly rather than replying to this email, as I have mailing list emails filtered). The closing date is 5th April 2022 (but is likely to be extended). Please note that there will be a further two postdoctoral positions advertised shortly, focused on theoretical elements of the project. ---------- Simon R. Schultz DPhil FIET FRSB Professor of Neurotechnology Director, Imperial College Centre for Neurotechnology Dept of Bioengineering, Imperial College London Email: s.schultz(a)imperial.ac.uk http://www.schultzlab.org http://www.imperial.ac.uk/neurotechnology Centre contact: Dr Kate Hobson, 0207 594 5101, k.hobson(a)imperial.ac.uk

March 24, 2022

Upcoming HBP Education events

by HBP Education

Dear Sir*Madam, I hope this e-mail finds you well! I would like to raise awareness for several upcoming events by the HBP Education Programme. Please consider adding them to your list of upcoming events. Symposium: From Cortical Microcircuits to Consciousness Date: 11-13 April 2022 Website: https://www.humanbrainproject.eu/en/education/corticon/ <https://www.humanbrainproject.eu/en/education/corticon/> Description: The Symposium: From Cortical Microcircuits to Consciousness aims at bringing together the Human Brain Project’s neuroscientists and invited guests to present their latest achievements in understanding neurocircuit dynamics at microscales, meso- and macro-scales, including the emergence of consciousness. Theories of consciousness will be reviewed and challenged by new findings from brain circuits and behavior. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will offer a hands-on session on The Virtual Brain, the platform of EBRAINS for constructing and simulating personalised brain network models. EBRAINS is the European research infrastructure for gathering, processing and simulating brain data. Finally, the Symposium will address the recent advances in neuroethics and neurophilosophy in neuroscience research and society. Address: Institut Catholique de Paris, 21 Rue d'Assas, 75006 Paris, France Registration deadline: 6 April 2022 ———————————————— Young Researchers Event 2022 in Denmark Date: 16 May 2022 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ <https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/> Description: HBP <http://humanbrainproject.eu/> and EBRAINS <http://ebrains.eu/> together with the University of Copenhagen <https://www.ku.dk/english/> invite the entire scientific community, in particular early career researchers, to join the Young Researchers Event on 16 May 2022 at the University of Copenhagen, Denmark. Young Researchers Events provide a setting where EBRAINS <http://ebrains.eu/> RI, the Project’s tools and results are presented to early career scientists as well as to a wider scientific community. The event will introduce participants to EBRAINS, offer opportunities to exchange information and knowledge with peers, as well as with renowned experts. Address: University of Copenhagen, Faculty of Health and Medical Sciences, Maersk Tower, Blegdamsvej 3B, 2200 Copenhagen, Denmark Registration deadline: 9 May 2022 —————————— EBRAINS Brain Simulation School 2022 Training on Single Neuron Models, Brain Circuit Models, Cognition, Collaboratory, Synaptic Plasticity and Learning Date: 30 May – 3 June 2022 Website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ <https://www.humanbrainproject.eu/en/education/BRAINSIM/> Description: The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the digital infrastructure for brain research EBRAINS <http://ebrains.eu/>, created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use EBRAINS Computing Services configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to carry out their own research, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases. The target audience of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure. The event is limited to 40 participants. Address: Splendid Hotel la Torre, Via Piano di Gallo 11, 90151 Palermo, Italy Registration deadline: 30 April 2022 ——————————————— Brain Activity across Scales and Species: Analysis of Experiments and Simulations (BASSES) - EBRAINS Workshop Date: 13-15 June 2022 Website: https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/ <https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/> Description: The HBP and EBRAINS invite interested scientists to join the forthcoming EBRAINS Workshop on Brain Activities across Scales and Species. The study of brain rhythms and of spatio-temporal patterns of brain activation is an important test-bench for understanding connectivity and the mechanisms that determine cognitive systems in mammals. The large variety of available experimental protocols and measurement techniques enable researchers to investigate new scientific questions. In addition, the input from experimental observations is used to design theoretical models able to emulate brain dynamics and cognitive mechanisms in in-silico experiments. The goal of the BASSES Workshop (Brain Activity across Scales and Species: analysis of Experiments and Simulations) is to provide an overview of the scientific topic of brain states and complexity, state transitions, and their connection with cognitive functions, and to demonstrate the achievements in this field obtained within the Human Brain Project thanks to the functionalities provided by the EBRAINS <http://www.ebrains.eu/> research platforms. Lectures will showcase the latest advancements in analysis strategies and whole-brain modelling tools. Hands-On Sessions will allow the participants to be actively engaged and test the EBRAINS functionalities for data storage, curation, analysis, and modelling. BASSES will allow people with different expertises, from experimental and theoretical neuroscientists to computer scientists, to share results and ideas and connect into a wider community. Address: ROMA EVENTI – Fontana di Trevi, Piazza della Pilotta, 00187 Rome, Italy Registration deadline: 27 May 2022 ———————————————————————— Please don’t hesitate to contact us should you need further info. Thank you in advance Best regards, HBP Education Team

March 24, 2022

Computational & Cognitive Neuroscience Summer School application open!

by Chengcheng Huang

Applications are open for the 11th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 26 to July 17, 2022*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/1239 Application deadline: *April 30, 2022* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. More details can be found at the course website https://www.ccnss.org. Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Faculty: Dani Bassett, University of Pennsylvania Carlos Brody, Princeton University Bob Desimone, Massachusetts Institute of Technology Angela Langdon, National Institute of Mental Health Songting Li, Shanghai Jiao Tong University Yunzhe Liu, Chinese Institute for Brain Research Yuanyuan Mi, Chongqing University Tirin Moore, Stanford University Srdjan Ostojic, École normale supérieure Anna Schapiro, University of Pennsylvania Kim Stachenfeld, DeepMind

March 24, 2022

Support for Ukrainian doctoral students in computer science at the University of Vienna

by Moritz Grosse-Wentrup

Dear all, The Doctoral School for Computer Science (DoCS) at the University of Vienna (https://docs.univie.ac.at/) supports Ukrainian doctoral students in computer science (who are currently enrolled in a Ukrainian university) with 6-month stipends to continue their doctoral studies in Vienna. If you would like to apply for such a stipend, please send an email to uadocs2022(a)univie.ac.at including a CV and a brief description of your dissertation topic. We will then contact you asap regarding further details. We ask for your understanding though that our funds may not cover stipends for all applicants. For other initiatives, please also see https://scienceforukraine.eu/ On behalf of the DoCS and the Faculty of Computer Science, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Kolingasse 14-16, Room 02.49 A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

March 23, 2022

3 Postdoctoral Positions at the University of Calgary

by Wilten Nicola

We are currently looking for 3 postdoctoral positions in the Nicola Computational Neuroscience Lab ( http://www.nicolacomputationalneurosciencelab.com) at the University of Calgary, in Alberta Canada: *Postdoctoral Position 1* We are currently looking for a postdoctoral researcher for a 2-year position investigating the interplay between hippocampal and cortical dynamics in memory consolidation. The project will involve both simulating spiking neural networks, and analyzing real spiking data. The ideal postdoctoral researcher will have a PhD in mathematics, physics, or engineering, and will have a proven track-record in working with spiking neural networks. A knowledge of neuroscience is beneficial, but not strictly necessary. Familiarity with multi-unit recordings is also beneficial, but not strictly necessary. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. ------------------------------ *Postdoctoral Position 2* We are currently looking for a postdoctoral researcher for a 2 year position investigating how networks of neurons can learn to create abstraction and semantic definitions from a few stimuli. In short, how do networks of neurons learn and know how to generalize in a meaningful way? The ideal postdoctoral researcher will have a PhD in mathematics, physics or engineering and will have extensive experience in working with feedforward or recurrent neural networks, either artificial or spiking. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. ------------------------------ *Postdoctoral Position 3 * We are currently looking for a postdoctoral research for a 2 year position in commercializing spiking neural network technologies. This is a joint postdoc with Dr. Aaron Gruber, as part of an ongoing initiative on commercializing spiking neural networks for both edge computing, and big-data applications. The ideal postdoctoral researcher will have a strong background in hardware and software engineering, specifically with Field Programmable Gate Arrays or other neuromorphic-like platforms capable of spiking network emulation. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

March 22, 2022

Cajal Computational Neuroscience Course, Application deadline 28 March, 2022

by Gjorgjieva, Julijana

Dear Students and Postdocs, There is still time to apply to the Cajal Computational Neuroscience course 2022! Application deadline: 28 March 2022 Apply here: http://cajal-training.org/on-site/ccn2022/ Stipends are available. Date and Location: 17 July - 6 August 2022 Champalimaud Center for the Unknown, Portugal Course directors: Brent Doiron, University of Chicago, US Maria Geffen, University of Pennsylvania, US Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany Joe Paton, Champalimaud Foundation, Portugal About the Cajal Computational Neuroscience Course The course teaches the central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. During the course’s mornings, distinguished international faculty deliver lectures on topics across the entire breadth of experimental and computational neuroscience. For the remainder of the time, students work on research projects in teams of 2 to 3 people under close supervision of expert tutors and faculty. Research projects are proposed by faculty before the course and include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. Confirmed Keynote Speakers: Megan Carey – Champalimaud Foundation, Portugal Alex Cayco-Gajic – École Normale Supérieure, France John Krakauer – Johns Hopkins University, USA Gilles Laurent – Max Planck Institute for Brain Research, Germany Máté Lengyel – Cambridge University, UK Ashok Litwin-Kumar – Columbia University, USA Christian Machens – Champalimaud Foundation, Portugal Olivier Marre – Vision Institute, France Ken Miller – Columbia University, USA Srdjan Ostojic – École Normale Supérieure, France Anne-Marie Oswald – University of Pittsburgh, USA Alfonso Renart – Champalimaud Foundation, Portugal Tim Vogels – IST Austria, Austria And others! CAJAL Advanced Neuroscience Training Programme is funded by FENS, IBRO and The Gatsby Foundation. For more information on the CAJAL programme: www.cajal-training.org<http://www.cajal-training.org> ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich office: +49 69 850033 3600 https://www1.ls.tum.de/compneuro

March 22, 2022

Call for Symposia - NEURONUS 2022 IBRO Neuroscience Forum (15-17 October 2022, Krakow, Poland)

by Michał Zaręba

*On behalf of my colleagues, I would like to invite you to **submit symposia proposals for NEURONUS 2022 IBRO Neuroscience Forum, **which takes place on 15-17 October 2022 in Krakow, Poland. We await your proposals until 1 April 2022. More information can be found here: https://neuronusforum.pl/page/40,call-for-symposia <https://neuronusforum.pl/page/40,call-for-symposia>**.* With prominent speakers and unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year we will host 6 keynote speakers including Lauri Nummenmaa (University of Turku, Finland), Florian Engert (Harvard University, Cambridge, USA) and Marina Bedny (Johns Hopkins University, USA). The remaining names will be announced soon. During the upcoming 12th edition of the conference, we will continue to put* emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. To help us achieve this goal, we have opened the *call for symposia*. A symposium should last approximately 90 minutes and be composed of a talk by the Invited Speaker (of post-doc status or higher) and 3-4 talks given by early-career researchers. Early-career speakers may be proposed by the Symposium Organizer. At least two of the early-career speakers must be at pre-doctoral level. The general focus of the symposium should fall within the scope of biological and cognitive neuroscience. Please contact us if more information is needed. We strongly encourage you to join this special initiative and hope to see you in the beautiful scenery of Krakow! On behalf of my colleagues, Michal Zareba Organizing Committee Neuronus 2022 IBRO Neuroscience Forum

March 21, 2022

Postdoctoral position in "Multiphysics Brain Aging Modeling" at Stevens Institute of Technology, New York City, USA

by Johannes Weickenmeier

Dear all. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier (www.weickenmeierlab.com<http://www.weickenmeierlab.com>). The Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available now until filled. To apply, please send a motivation letter, CV, and contact information for 2-3 references to Prof. Johannes Weickenmeier (johannes.weickenmeier (at) stevens.edu) Stay well, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering |phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

March 21, 2022

New INCF endorsement standard: MBF file format

by INCF

We are pleased to inform you that on January 25 2022, the INCF Standards and Best Practices (SBP) committee <https://incf.org/about/governance/SBP-subcommittee> endorsed the MBF file format as a standard, with the standard number INCFSN-22-01 <https://www.incf.org/mbf-file-format-v-40>. All INCF standards undergo re-review every two years. MBF Bioscience and INCF will work together to further improve the FAIRness of the standard until the next review, including implementation of the governance policy and modification of the standard’s license from the CC-BY-ND-NC to a CC-BY-ND. The committee is pleased to see an open format from a commercial entity go through the endorsement process, and applaud MBF Bioscience for taking this very important step in support of open and FAIR neuroscience. See the community review <https://f1000research.com/documents/10-712> Read the endorsement statement <https://f1000research.com/documents/11-336> *Why endorse community standards? * INCF (incf.org) has implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. Our mission is to make neuroscience more open and FAIR, to ensure that research funds and efforts are well invested, and that neuroscientific findings are robust and replicable. Open community review is a very important step in the process. Quality community standards are necessary to make FAIR resources and processes work, but too many neuroscience communities lack robust standards or have competing incompatible standards. The rapid development of new techniques also means that there is a continuous need for new and updated standards, and that old standards need an active developer and user community keeping them up to date. By endorsing standards, INCF wants to: - Make it easy to find the best, most reliable standard appropriate for your research - Ensure recognition for community members investing their time and effort in standards Similar to other standards, the review criteria <https://incf.org/incf-standards-review-criteria-v20> include: - Openness - FAIRness - Design, testing, and implementation - Governance - Adoption and use - Stability and support - Extensibility - Comparison (similarity to other standards)

March 21, 2022

2022 Neuro-Inspired Computational Elements Conference -- Final Agenda -- March 29-April 1 Virtual!

by Aimone, James Bradley

Dear colleagues, The final agenda for NICE 2022 has been published here https://flagship.kip.uni-heidelberg.de/jss/HBPm?mI=235&m=showAgenda This is the 9th annual NICE meeting, and we will be virtual again this year due to global travel considerations related to the COVID-19 pandemic. NICE covers the neuromorphic computing field with parallel considerations of the neuroscience inspiration and application drivers of brain-inspired computing technologies. Keynote talks Stefano Fusi (Columbia University) Jeff Clune (University of British Columbia) Please join us! Brad Aimone 2022 NICE Organizing Committee -------------------------- James Bradley Aimone, Ph.D. Cognitive and Emerging Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

March 21, 2022

4-year postdoc in cognitive science

by Dominik Endres

The research group for Theoretical Cognitive Science of Prof. Dr. Dominik Endres at the Department of Psychology, Philipps Universität Marburg, Germany, is currently accepting applications for a *** Postdoctoral Researcher **** We expect the successful applicant to independently develop, implement and execute virtual reality experiments for the validation of (deep) learning and Bayesian models of human behavior and perception and/or to develop, implement and analyze these models. Contributions to scientific publications and regular and active participation in the CRC’s scientific program are required. More details about the project's research directions can be found in these publications: https://dl.acm.org/doi/10.1145/3355401 https://jov.arvojournals.org/article.aspx?articleid=2678770 https://ieeexplore.ieee.org/document/7829376 https://psycnet.apa.org/doi/10.1037/rev0000330 The position is offered for a period of 4 years, if no former times of qualification need to be considered. The starting date is as soon as possible. The position is full-time with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). The position is a part of the project C6 (sensorimotor primitives, collaboratively supervised by Prof. D. Endres, Prof. A. Schütz and Prof. A. Schubö) of the DFG-funded *** Collaborative Research Center CRC/TRR 135 “Cardinal Mechanisms of Perception” *** More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Formal requirements are a qualified degree (diploma, master or equivalent) in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable), a completed or nearly completed PhD as well as demonstrable programming experience in a high-level language, e.g. Python. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modelling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. The full job advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… Please send your application (including a project-specific motivation letter in English, relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0010-wmz-2022 only as a single PDF file to dominik.endres(a)uni-marburg.de, before 15.04.2022. Feel free to contact Prof. Dr. Dominik Endres, mailto:dominik.endres@uni-marburg.de for more information. -- Prof. Dr. Dominik Endres Theoretische Kognitionswissenschaft - Theoretical Cognitive Science FB 04 Psychologie Tel: 06421-28 23818

March 21, 2022

PhD funded opportunity

by Eirini Mavritsaki

PhD funded opportunity (computational cognitive psychology) https://www.bcu.ac.uk/social-sciences/research/phd_opportunities Title: Covid-19 effects on Cognitive Health School: School of Social Sciences The COVID-19 pandemic has affected everyday life and cognitive health including sustained attention and depression (Hampshire et al., 2021; Zhou et al., 2020 (a)(b)). However, little is known about whether depression is due to COVID-19 infection, or an effect of cognitive decline caused by the COVID-19, as depression is also linked to changes in attention and memory (Fossati, 2018; Dillon & Pizzagalli, 2018). Therefore, it is imperative to understand the interaction between cognition and depression, an area of research that is poorly understood in recent work related to COVID-19 and how this is progressing over time. Here, we propose to investigate the link between COVID-19 and cognitive health - depression, cognitive flexibility, and attention. We are using an interdisciplinary approach that combines online behavioural data with computational modelling using a computational approach developed by our team. Contact information: Name: Prof. Eirini Mavritsaki E-mail: eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> Tel: 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol , SFHEA, SEDA Recognised Supervisor Professor of Cognitive Psychology Director of Research for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

March 18, 2022

Postdoctoral position in the cognitive neuroscience of aging at UC Riverside and Irvine

by Aaron Seitz

A postdoctoral position in the cognitive neuroscience of aging is available at the University of California, Riverside (UCR) to work with a research team including Professors Xiaoping Hu, Aaron Seitz, Ilana Bennett, and Weiwei Zhang at UCR, and in collaboration with Megan Peters at UC Irvine. This opportunity will involve working on a NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult population. The postdoctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervising graduate students and undergraduate research assistants, and disseminating results at conferences and in research publications. https://aprecruit.ucr.edu/JPF01540 Successful candidates should have a strong background in fMRI data collection and analysis, advanced computational and statistical competencies, management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and knowledge of the others): cognitive aging, brain aging, psychophysics, perception or memory processes, eye-tracking, metacognition, and the role of the locus coeruleus in cognition. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be either in the UCR Psychology or Bioengineering Departments, depending upon candidate interest and primary expertise. Working with our diverse research team will provide a unique interdisciplinary research and mentoring experience. Research will be conducted at the UCR Center for Advanced Neuroimaging, which features a 3T Prisma fMRI system with state of the art eye-tracking and psychophysical systems. Applications must include a cover letter, curriculum vitae, 1-2 sample publications, statement of research interests, statement of past and/or planned future contributions to advancing diversity and inclusive excellence, and the names of three to five references with phone numbers and emails. Review of applications will begin on April 7, 2022 and may continue until the position is filled. Applications received by April 7, 2022 will receive full consideration. UCR is a world-class research university with an exceptionally diverse student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. Best, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu<mailto:aseitz@ucr.edu> Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu<http://braingamecenter.ucr.edu/> **************************************************

March 18, 2022

PhD studentships at University of Hertfordshire, UK

by Nada Yousif

Applications are invited by the Centre for Future Societies Research for three fully funded PhD studentships at the University of Hertfordshire. These research studentships will be part of the University Alliance (UA) Doctoral Training Alliance in Future Societies, and include the proposed project: "Low-cost, accessible neurostimulation, experiments and simulations" to be supervised by Dr Nada Yousif and Prof Volker Steuber. The PhD project will combine experimental cerebellar stimulation and computational modelling of the cerebellum to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Please see the Centre for Future Societies Research web page where project details are held on https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear… and the external advert on https://www.jobs.ac.uk/job/CND466/three-fully-funded-phd-research-studentsh…. Closing date for applications: 22nd April 2022. Interviews will start soon after the closing date. Studentship start date: September 2022. For informal enquiries contact Dr Nada Yousif (n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk>) or Prof Volker Steuber (v.steuber(a)herts.ac.uk<mailto:v.steuber@herts.ac.uk>, biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk/>). Dr Nada Yousif School of Physics, Engineering and Computer Science University of Hertfordshire +44 (0)1707 284129 n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk> go.herts.ac.uk/nada_yousif https://sites.google.com/view/nada-yousif/home

March 17, 2022

EBRAINS Brain Simulation School 2022, 30 May – 3 June 2022, REGISTRATION DEADLINE: 30 April 2022

by Luca Leonardo Bologna

We are glad to announce the *EBRAINS Brain Simulation School 2022* to be held in Palermo, Italy, from 30 May to 3 June, 2022. The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the *digital infrastructure for brain research EBRAINS* (ebrains.eu), created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use *EBRAINS Computing Services* configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to *carry out their own research*, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases. The *target audience* of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an *introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure*. Registrations close on *30 April, 2022*. The event is limited to *40 participants*. Registration and Program are available on the School website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ The School Scientific Chairs & Organizers Michele Migliore, Aušra Saudargienė, Francesca Spataro, Alessia Bonafede

March 17, 2022

Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience

by Jan Drugowitsch

Location: Harvard Medical School, Boston, MA Start: summer 2022 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School (https://drugowitschlab.hms.harvard.edu/) The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. We have strong ties to, and frequently collaborate with, experimental labs. The postdoctoral fellow will develop state-of-the-art theories of neural computations using machine learning, neural networks, dynamical systems analysis, and reinforcement learning, and will analyze the neural data collected by experimental collaborators. The position starts in or after June 2022, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Expected background: Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Application: Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch(a)hms.harvard.edu. If they are considered suitable candidates, they will be requested to additionally organize two letters of reference. The position is open until filled. Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place in Portugal, March 17-22, for questions and further information about the opening. Harvard is an equal opportunity employer 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 veteran status, or any other characteristic protected by law. Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School https://drugowitschlab.hms.harvard.edu/

March 14, 2022

NeuroBridges 2022

by Ahmed El Hady

*NeuroBridges 2022* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Application opens March 15, 2022* *Website: **___http://decision-making-lab.com/NeuroBridges/neurobridges2022.html_* ** *NeuroBridges2022* is a summer school which will take place between September 4 and September 15, 2022 in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://streaklinks.com/A90svF509Dfx1gAIfQKAz1pX/https%3A%2F%2Fcollegecluny…>. The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover a different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. All costs of registration and accommodation will be covered by the organizers. For more information and application, visit our website:_http://decision-making-lab.com/NeuroBridges/neurobridges2022.html_ *NeuroBridges2022 Faculty:* Carlos Brody (Princeton), Ahmed El Hady (Princeton/Konstanz), David Hansel (CNRS), Ifat Levy (Yale), Yonatan Loewenstein (Hebrew U.), Najib Majaj (NYU), Mike Shadlen (Columbia U.), Eyal Winter (Hebrew U.) and Yoram Yovell (Hadassah Hebrew U. Medical Center) *NeuroBridges* is co-organized by Ahmed El Hady (Princeton Neuroscience Institute, USA), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). *NeuroBridges2022* is supported by the Simons Foundation (USA) and CNRS (France) and is in partnership with WWTNS (wwtns.online). *Contact us:*_neurobridges2022@gmail.com <mailto:neurobridges2022@gmail.com>_

March 13, 2022

job: machine learning research scientist at NIMH

by Francisco Pereira

## HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ## About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort, from helping discover or develop theories to generating actionable results. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and recent publications at https://cmn.nimh.nih.gov/mlt ## About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Required experience: - deep learning, using PyTorch or Tensorflow Desirable experience: - reinforcement learning - Bayesian statistical modelling - other types of modelling of human/animal learning and decision-making - neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG) - other types of neural data (e.g. neural recording, calcium imaging) all in the context of substantial research projects, ideally having led to submitted or published articles. Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. Backgrounds of team members include computer science, statistics, mathematics, and biomedical engineering. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests or community impact. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. We especially encourage applications from members of underrepresented groups in the machine learning research community. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

March 12, 2022

SCGB Virtual Postdoc/Student Meeting: Monday, March 14 by James Roach

by Laura Long

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at our next Global meeting! Please see event details and the Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277… Monday, March 14th, 1pm Eastern Time https://simonsfoundation.zoom.us/j/97652465539?pwd=YkdYaTBGOGU0c1NyUzV1d1Jr… Passcode: 188122 *James Roach*Postdoctoral Researcher, Churchland Laboratory University of California, Los Angeles *Two roles for choice selective inhibition in decision-making circuits* During perceptual decision-making, the firing rates of cortical neurons reflect upcoming choices. Recent work showed that excitatory and inhibitory neurons are equally selective for choice. However, the functional consequences of inhibitory choice selectivity in decision-making circuits are unknown. We developed a circuit model of decision-making which accounts for the specificity of inputs to and outputs from inhibitory neurons. We found that selective inhibition expands the space of circuits supporting decision-making, allowing for weaker or stronger recurrent excitation when connected in a competitive or feedback motif. The specificity of inhibitory outputs sets the trade-off between speed and accuracy of decisions by altering the attractor dynamics in the circuit. Recurrent neural networks trained to make decisions display the same dependence on inhibitory specificity and the strength of recurrent excitation. Our results reveal two concurrent roles for selective inhibition in decision-making circuits: stabilizing strongly connected excitatory populations and maximizing competition between oppositely selective populations. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

March 11, 2022

Multiple Postdoctoral Scholar Positions at Washington University in St. Louis

by Shuo Wang

We are looking for multiple highly motivated postdoctoral scholars to work on NSF, DoD, and NIH funded projects. Projects include but are not limited to using human single-neuron recordings to study the neural circuits underlying social attention and using fMRI to study face perception in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. The Wang Neuroscience Lab is housed in the Mallinckrodt Institute of Radiology (MIR) at the Washington University School of Medicine (WUSM) in St Louis. WUSM is a world class research intensive academic health center that is consistently ranked among the nation’s research-oriented medical schools. Additionally, it is nationally known for its attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. St. Louis is consistently rated a Forbes most affordable city with vibrant music, food and park scene, and has one of the fastest growing start-up communities with impressive accelerator and incubator services available through the Biogenerator, Cambridge Innovation Center, and Cortex Innovation District. Shuo Wang, Ph.D. Assistant Professor Washington University in St. Louis https://sites.wustl.edu/wanglab/

March 11, 2022

Applications open for BRAINS: please forward!

by Adrienne L Fairhall

Dear colleagues, Applications are now open for an NINDS funded, national professional development program dedicated to advancing diversity and inclusion in neuroscience (*BRAINS: Broadening the Representation of Academic Investigators in NeuroScience*. BRAINS uses a unique cohort-based professional development approach to explicitly address the inclusion, retention, and advancement of early career (post Ph.D. and pre-tenure) neuroscientists from historically underrepresented and marginalized groups. The BRAINS experience positively impacts participants’ career trajectories, especially in academic neuroscience, and creates perpetually empowering communities. For more information about our program, visit the BRAINS website [https://advance.washington.edu/brains/] To apply, go to: https://advance.washington.edu/brains/program/application. Applications will be accepted until April 25, 2022. If you have questions, feel free to contact Sheri Mizumori (mizumori(a)uw.edu ).

March 11, 2022

Neuro tool projects with INCF in Google Summer of Code - open to all beginners to open source

by Malin Sandström

Dear all, tell your friends and colleagues - for the first time, the Google Summer of Code <https://summerofcode.withgoogle.com> Program is open to all beginners and newcomers to open source. INCF participates as a mentoring organization for the 12th time. This year, we offer 50 different projects suggested and mentored by tool developers in the neuroscience community. If you are interested in becoming an open source contributor, this program is a fantastic opportunity! Links: INCF Ideas List for 2022 <https://docs.google.com/document/d/131tHl3Ao3aJ_KbfOdZbeDog3sovhHhx_5fobchc…> Google Summer of Code FAQ <https://developers.google.com/open-source/gsoc/faq> Google Summer of Code 2022 timeline <https://developers.google.com/open-source/gsoc/timeline>Recommendations for GSoC contributors <https://www.incf.org/recommendations-gsoc-contributors> Google Summer of Code guides for mentors and students <https://developers.google.com/open-source/gsoc/resources/guide> Read our blog about GSoC 2022 <https://incf.org/blog/incf-applies-gsoc-2022> Best regards, Malin INCF Org Admin for GSoC 2022 -- 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

March 11, 2022

Call for Abstracts: 31st Annual Computational Neuroscience Meeting (CNS*2022) in Melbourne

by Thomas Nowotny

Organization for Computational Neurosciences Call for Abstracts We are inviting abstracts for the 31st Annual Computational Neuroscience Meeting (CNS*2022) - Melbourne, Australia July 16-20, 2022 The main meeting begins the evening of Saturday, July 16 and runs through Tuesday, July 19. It will be preceded by a day of tutorials (Saturday, July 16) and followed by workshops (Tuesday, July 18 mixed with the main meeting and Wednesday, July 19 workshops only). Keynote Speakers Michael Breakspear,<https://www.newcastle.edu.au/profile/michael-breakspear> The University of Newcastle Tara Hamilton, University of Technology Sydney Joseph Lizier<https://www.sydney.edu.au/engineering/about/our-people/academic-staff/josep…>, The University of Sydney Kristin Sellers<https://profiles.ucsf.edu/kristin.sellers>, University of California, San Francisco Registration and abstract submission will open Monday, March 14th. Abstract submission deadline: April 15th, 2022. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the drop-down box on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract submission for main meeting: https://cns.confmaster.net/ For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2022 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-tutorials Thomas Nowotny, Vice-President OCNS -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: http://www.cnsorg.org<http://www.cnsorg.org/> --------------------------------------------------------------------------------------------

March 10, 2022

Call for Satellite Workshop Proposals, Bernstein Conference 2022 in Berlin

by Bernstein Communication

+++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2022 in Berlin. +++ ____ BERNSTEIN CONFERENCE 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. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 13 - 14, 2022 o Tuesday, Sep 13, 14:00 – 18:00 CEST o Wednesday, Sep 14, 8:30 – 12:30 CEST - Main Conference: September 14 – October 16, 2022 - Deadline for Satellite Workshop proposal submission: +++ April 10, 2022 +++ - Notification of workshop acceptance: planned in early May 2022 ____ WORKSHOP PROPOSALS The pre-conference Satellite Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster extensive discussion and debate, rather than a series of talks. Proposals are welcome for either half-day or full-day workshops. We aim at organizing workshops in Berlin, please ask potential speakers about their availability for the in-person meeting. In addition, there might be a possibility for a few hybrid workshops. Selection criteria for workshop proposals will include scientific excellence, topical relevance and diversity in gender and career level of the selected speakers. Submit your workshop proposal here: https://indico3-jsc.fz-juelich.de/event/9/registrations/2/ +++ Deadline: April 10, 2022– not to be extended +++ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 € each. ____ WORKSHOP SELECTION COMMITTEE Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) Raoul Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumachenko (Program Vice Cahir) Megan Carey Brent Doiron Tatjana Engel 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<mailto:bernstein.conference@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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 10, 2022

Postdoc position in plasticity in blindness and handlessness (Washington DC)

by Ella Striem-Amit

*Postdoctoral researcher position in visual and/or motor brain plasticity* The sensory and motor plasticity lab at Georgetown University (PI: Ella Striem-Amit) is looking for a passionate and dedicated postdoctoral researcher to study brain plasticity in congenital visual and/or motor deprivation. The SAMP lab explores the balance between innate brain organization and experience-dependent plasticity by studying people born blind or born without hands using behavioral and fMRI state-of-the-art analytical techniques. Relevant projects include (but are not limited to) exploring individual differences in brain plasticity and action execution without hands. For more details, see https://samp-lab.facultysite.georgetown.edu/people/opportunities. A Ph.D. in a relevant field, experience with fMRI data analysis, and strong programming skills are required. Experience with behavioral methods used in visual, multisensory, or motor control is desirable but not a requirement. The position is not limited to US citizens. The start date is flexible. This position is available for two years and can be extended further based on performance. The lab is located at Washington DC, USA. To apply, please send your CV and a brief statement of research interests by email to Dr. Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

March 9, 2022

INCF accepted to GSoC 2022!

by Heather Topple

For the 12th time, INCF has been accepted as a mentoring organization for Google Summer of Code! Many core INCF community tools have been improved, extended, and made more interoperable as a result of GSoC (such as LORIS, The Virtual Brain, Open Source Brain, the Brian simulator, the Active Segmentation plugin for ImageJ, and more). For this round, tool developers in the INCF community have proposed 50 possible projects that they would be willing to mentor, from a range of different neuroscience fields. Please spread the word to anyone you feel would be interested! Learn more: bit.ly/INCFGSoC2022blog Talk directly with mentors on Neurostars: bit.ly/GSoC2022Neurostars Full project ideas list: bit.ly/GSoC2022ideas Best regards, /The INCF Secretariat ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

March 9, 2022

Postdoc in “InsectNeuroNano” at Edinburgh

by Barbara Webb

A postdoctoral research associate position is available computational and neuromorphic modelling studies of navigation systems in the insect brain, as part of the InsectNeuroNano project and under the joint direction of Professor Barbara Webb (Edinburgh) and Professor Elisabetta Chicca (Gronigen). The InsectNeuroNano project proposes the development of nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain. It is a Horizon funded project with partners from Lund University (nano-devices, neurobiology), University of Copenhagen (semi-conductors, organic dyes), University of Gronigen (neuromorphic engineering) and University of Edinburgh (insect robotics). As proof of concept, we target the complete pathway from polarised light sensing in the insect eye to the internal compass and memory circuits in the central complex by which this information is integrated in a continuous accurate estimate of location. Within this project, the main role of the RA will be to take results from both anatomical and physiological studies and condense these into computational models, to abstract key principles of circuit function, as an essential bridge to hardware design. The position is available immediately and runs to 31 March 2024, but note there will then be a further 24 months funding at Gronigen and ideally the same person will continue in this RA role on the project for its 4 year duration. The salary range is £34,304 - £40,927 per annum. Candidates are expected to have a PhD in a relevant discipline and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The closing date for applications is 5th April 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

March 9, 2022

Postdoc in “Insect AI” at Edinburgh

by Barbara Webb

A postdoctoral research associate position is available to undertake computational modelling studies of learning mechanisms in the insect brain and apply them to robot control and navigation problems, contributing to the project Insect AI under the direction of Professor Barbara Webb, in the School of Informatics at the University of Edinburgh. The position is available immediately, runs to 31 December 2023, and has a salary range of £34,304 - £40,927 per annum. Candidates are expected to have a PhD in a relevant area and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The closing date for applications is 7th April 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

March 9, 2022

[Meetings] CRNS Talk Series (4) - Live Talk by Prof. Mehul Bhatt - Orebro University - Sweden

by Amir Aly

Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. **Mehul Bhatt* from *Orebro University* - Sweden on Wednesday, March 16th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/95748572834?pwd=M05YTXhTVnBOK0R6WTlPaDJnTm5GUT09… >> *Title of the talk*: Artificial visual intelligence: Perceptual commonsense for human-centred cognitive technologies *Abstract*: This talk addresses computational cognitive vision and perception at the interface of (spatial) language, (spatial) logic, (spatial) cognition, and artiﬁcial intelligence. Summarizing recent works, I present general methods for the semantic interpretation of dynamic visuospatial imagery with an emphasis on the ability to perform abstraction, reasoning, and learning with cognitively rooted structured characterizations of commonsense knowledge pertaining to space and motion. I will particularly highlight: - explainable models of computational visuospatial commonsense at the interface of symbolic and neural techniques; - deep semantics, entailing systematically formalised declarative (neurosymbolic) reasoning and learning with aspects pertaining to space, space-time, motion, actions & events, spatio-linguistic conceptual knowledge; and - general foundational commonsense abstractions of space, time, and motion needed for representation mediated (grounded) reasoning and learning with dynamic visuospatial stimuli. The presented works –demonstrated in the backdrop of applications in autonomous driving, cognitive robotics, visuoauditory media, and cognitive psychology– are intended to serve as a systematic model and general methodology integrating diverse, multi-faceted AI methods pertaining knowledge representation and reasoning, computer vision, and machine learning towards realising practical, human-centred, computational visual intelligence. I will conclude by highlighting a bottom-up interdisciplinary approach –at the conﬂuence of cognition, AI, Interaction, and design science– necessary to better appreciate the complexity and spectrum of varied human-centred challenges for the design and (usable) implementation of (explainable) artiﬁcial visual intelligence solutions in diverse human-system interaction contexts. *Keywords*. Cognitive Vision; Knowledge Representation and Reasoning; Commonsense Reasoning; Deep Semantics; Declarative Spatial Reasoning; Com- puter Vision; Computational Models of Narrative; Human-Centred Computing and Design; Spatial Cognition and AI; Visual Perception; Multimodal Interaction; Autonomous Driving; HRI; Visuo-Auditory Media; Visual Art >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

March 8, 2022

Symposium "From Cortical Microcircuits to Consciousness" 11-13, April 2022

by Zélie Tournoud

*From Cortical Microcircuits to Consciousness (CORTICON)* In person Symposium Institut Catholique de Paris, Paris, France 11-13 April 2022 The Symposium aims at bringing together neuroscientists from the Human Brain Project and invited guests to present their latest achievements in understanding cortical circuits at various scales, including the emergence of consciousness. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will also address neuroethics and neurophilosophy with links to society in a public key note, followed by a panel discussion by experts. Talks will be recorded and later put online. It will also offer a hands-on session on The Virtual Brain, the principal full brain network simulator in EBRAINS for constructing and simulating personalised brain models. We hope to see many of you in Paris at the Institut Catholique de Paris, close to Jardin du Luxembourg, in April 2022. Walter Senn, Alain Destexhe and Ausra Saudargiene ------------------------------------------------------------------------------ *Abstract submission* (300 words, for Posters): 15 March 2022 *Registration deadline:* 6 April 2022 *Info and program:*https://www.humanbrainproject.eu/en/education/corticon/ <https://www.humanbrainproject.eu/en/education/corticon/> *Speakers:* Katrin Amunts | Human Brain Project Scientific Research Director Melanie Boly | University of Wisconsin, USA Stanislas Dehaene | Collège de France Alain Destexhe | Centre National de la Recherche Scientifique, France Kathinka Evers | Uppsala University, Sweden Wulfram Gerstner | Ecole Polytechnique Fédérale de Lausanne, Switzerland Jeanette Hellgren-Kotaleski | KTH Royal Institute of Technology, Sweden Viktor Jirsa | Aix-Marseille University, France Christof Koch | Allen Institute for Brain Sciences, USA Matthew Larkum | Humboldt University of Berlin, Germany Marja-Leena Linne | Tampere University, Finland Marcello Massimini | University of Milan, Italy Lucia Melloni | Max Planck Institute for Human Cognitive and Brain Science, Germany Michele Migliore | Institute of Biophysics, Italian National Research Council, Italy Lars Muckli | University of Glasgow, UK Theofanis Panagiotaropoulos | Inserm, NeuroSpin, France Cyriel Pennartz | University of Amsterdam, Netherlands Panayiota Poirazi | IMBB-FORTH, Greece Petra Ritter | Berlin Institute of Health, Germany Pieter Roelfsema | Netherlands Institute for Neuroscience, Netherlands Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania Walter Senn | University of Bern, Switzerland Johan Storm | Institute of Basic Medical Sciences, University of Oslo, Norway Chris Summerfield | University of Oxford, UK Marmaduke Woodman | Aix-Marseille University, France _____ *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>

March 8, 2022

Comp Neuro PhD position, Moreno Bote Lab, Barcelona

by Ruben Moreno Bote

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2022 and January 2023 -- Rubén Moreno Bote Serra Húnter Professor Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

March 8, 2022

[CFP, Deadline Extended] MDPI Molecules (IF: 4.412) - Special Issue "Practical Aspects of Molecular Communications"

by Murat Kuşcu

(Apologies if you receive multiple copies of this CFP) MDPI Molecules (IF: 4.411, 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

March 7, 2022

Postdoctoral Fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience

by Paolo Avesani

A postdoctoral fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience We are pleased to announce the opening of one Postdoctoral Fellowship at the Neuroinformatics Lab, an interdisciplinary initiative between the Center for Mind/Brain Sciences (CIMeC) of the University of Trento, and the Center for Digital Health of Fondazione Bruno Kessler. The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. The goal is to pursue an integrated approach to pre-operative neurosurgical planning, combining structural and functional characterization of brain connectivity. The data driven strategy will take advantage of a unique dataset of intra-operative points of directed electrical stimulation and the related functional responses. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 2 year Postdoc Fellowship (May, 2022 - April, 2024). To apply, follow the instructions at this link: https://bit.ly/nilab2022call Deadline for application: 21 March 2022. For questions about the position, please contact Paolo Avesani ( paolo.avesani(a)unitn.it) and/or Emanuele Olivetti (olivetti(a)fbk.eu) The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). To also consider a work/life balance, there is more than our passion for translational research. You can check these pointers for a flavor of life quality in Trentino: https://www.visittrentino.info/en; https://www.discovertrento.it/en A few papers related to the project are below: Bertò G,et al., (2021) Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation, Neuroimage, 224 https://doi.org/10.1016/j.neuroimage.2020.117402 Sarubbo S, et al., (2020) Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain, Neuroimage, 205 https://doi.org/10.1016/j.neuroimage.2019.116237 Astolfi P, et al., (2020) Tractogram filtering of anatomically non-plausible fibers with geometric deep learning, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) LNCS, vol 12267. Springer https://doi.org/10.1007/978-3-030-59728-3_29 Sarubbo S, et al., (2021) Planning brain tumor resection using a probabilistic atlas of cortical and subcortical structures critical for functional processing: a proof of concept, Operative Neurosurgery, 20(3), 175-183 https://doi.org/10.1093/ons/opaa396 -- ------------------------------------------------------- Paolo Avesani Fondazione Bruno Kessler via Sommarive 18, 38050 Povo (TN) - I phone: +39 0461 314336 fax: +39 0461 302040 email: avesani(a)fbk.eu web: avesani.fbk.eu -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

March 7, 2022

EMBO Practical Course - Barcelona summer school for Advanced Modelling of Behavior (BAMB!) -, September 1-8, 2022

by Alexandre Hyafil

The Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is an EMBO Practical Course <https://www.embo.org/conferences-training/> and is organized by the Centre de Recerca Matemática <http://www.crm.cat>. A limited number of travel grants <https://www.embo.org/funding/lecture-travel-and-childcare-grants/travel-gra…> will be available from EMBO. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (CRM, Barcelona) Máté Lengyel (Cambridge) Zhaoping Li (Tübingen) Alfonso Renart (Champalimaud) Marion Rouault (ENS Paris) Kim Stachenfeld (Deepmind) Chris Summerfield (Oxford / Deepmind) MH Tessler (Deepmind) Klaus Wimmer (CRM, Barcelona) Dates and location: September 1-8, downtown Barcelona, Spain Applications are open until April 13. Please see the course website for further details: www.bambschool.org.

March 7, 2022

INCF/OCNS Software working group survey on software usage

by Ankur Sinha

Dear all, We, the INCF/OCNS Software working group, are conducting a short anonymous survey to collect information on the usage of common software tools in comp-neuro. Could we please request you to spend 2 minutes of your time to fill it out here: https://forms.gle/NXWv2CwtWBSB9BXv9 The information gathered in the survey will be used to organise sessions/workshops related to the software, and improve awareness about them and their maintenance. On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

March 7, 2022

Survey on the technical landscape and barriers present in EEG research informatics

by Christian O'Reilly

Dear colleagues, We'd appreciate your time completing this brief survey, for a new initiative, EEGNet <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…> , which aims to leverage open-source infrastructure for sharing and annotating open standardized EEG datasets with automated processing workflows. We are keen to have your views on the technical landscape and barriers present in EEG research informatics. Click here to take this survey <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…> (https://tinyurl.com/4rruuz42) which should take around 10 minutes -- and thank you for sharing it with colleagues in your field. If you're interested in sharing tools and data through EEGNet and providing more input on the platform, please let us know via the embedded links you'll find in the survey. EEGNet is a constituent organization of the Global Brain Consortium (GBC <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…>), an international neuroscience collaboration focused on EEG-mediated applications in global health. Thank you for your valuable input - We are hoping to have all responses back as soon as possible. Christian O'Reilly ------------------ Assistant Professor, University of South Carolina (UofSC) Department of Computer Science and Engineering Artificial Intelligence Institute (#AIISC) Autism and Neurodevelopmental Disorders Center (#USCAND) Institute for Mind and Brain

March 6, 2022

Postdoc position

by Cian O'Donnell

Postdoc position in Computational Neuroscience Intelligent Systems Research Centre, Ulster University, Derry/Londonderry, UK We are looking for a computational/mathematical neuroscience research associate to build stochastic models of gene expression in neurons to try to understand how or if synapses can store information stably. Post has funding for up to 3 years. You will be based in the group of Cian O'Donnell at Ulster University in Derry, Northern Ireland, UK (https://odonnellgroup.github.io) but closely collaborating with and visiting the mathematical neuroscience group of Romain Veltz at INRIA, Sophia-Antipolis, France (http://romainveltz.pythonanywhere.com) In addition to mathematical/computational modelling, as part of the project you will have the opportunity to analyse in vivo and in vitro imaging data from experimental collaborators Noam Ziv, Technion, Israel (https://noamziv.net.technion.ac.il) and Haining Zhong, OHSU, USA (https://www.hainingzhonglab.com) You will also be a member of the Intelligent Systems Research Centre (http://isrc.ulster.ac.uk) which hosts a community of researchers working across computational and cognitive neuroscience, neurotechnology, neuromorphic engineering, machine learning, robotics and related fields. You should have: - PhD in computational neuroscience/biology, applied mathematics, computer science, engineering, physics, or related field. - Expertise in one or more programming languages for scientific computing such as Python, Julia, MATLAB, or similar. - Experience of computational/mathematical modelling of biological or related systems. Derry is lively city of ~100K people situated on the River Foyle, in the north-west of the island of Ireland. It has a highly affordable cost of living, thriving cultural scene, and access to spectacular coastal scenery and the great outdoors in Donegal and the north coast of Northern Ireland. Application deadline is 13th March 2022. Follow this link (https://www.ulster.ac.uk/about/jobs) and search for job ref 010982. Please contact Cian (c.odonnell2(a)ulster.ac.uk<mailto:c.odonnell2@ulster.ac.uk>) for informal enquiries. -- Cian O’Donnell Lecturer in Data Analytics School of Computing, Engineering and Intelligent Systems Ulster University https://odonnellgroup.github.io

March 4, 2022

A new postcast about how neural models can link brain to mind

by Grossberg, Stephen

Dear Comp-Neuro Colleagues, I just enjoyed a wide-ranging conversation about my work on Roi Yozevitch’s podcast: https://www.youtube.com/watch?v=JwqFmmhBbqA&t=49s Among other topics, we discussed my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 https://global.oup.com/academic/product/conscious-mind-resonant-brain-97801… Best, Steve Grossberg sites.bu.edu/steveg

March 3, 2022

Postdoc in Computational Neuroscience at NYU

by Cristina Savin

Postdoc in Computational Neuroscience at NYU We are seeking a creative and driven computational neuroscience postdoctoral fellow to work on a collaborative project between the labs of Dora Angelaki (https://angelakilabnyu.org/ <https://angelakilabnyu.org/>) and Cristina Savin (http://www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin>) at New York University. The project studies neural representations underlying foraging behavior in monkeys, comparing both freely-moving and head-restrained behaviors, funded by the NIH BRAIN Initiative. The position is initially for one year, with the possibility of renewal. The successful candidate will have: a strong quantitative background demonstrable interest in neuroscience obtained (or be close to the completion of) a PhD in computational neuroscience, physics, mathematics, computer science, machine learning, statistics, etc ability to work in a strongly collaborative and interdisciplinary setting Preference will be given to candidates with: expertise in probabilistic machine learning strong programming skills, ideally in python previous experience with neural data analysis To send your application please provide your cv, a brief statement of research interests, and the contact details for reference letters to <csavin(a)nyu.edu <mailto:csavin@nyu.edu>>. For informal queries, please contact Cristina Savin (csavin(a)nyu.edu <mailto:csavin@nyu.edu>) or Dora Angelaki(da93(a)nyu.edu <mailto:da93@nyu.edu>). We will be available for in person discussions at the upcoming Cosyne meeting.

Feb. 28, 2022

Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück.

by Peter König

Great opportunity in Computational Neuroscience: Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück. (apologies for multiple postings) Full details at: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… --- This tenure-track Professorship is funded by the German Federal Government and the Länder under its Program for the Promotion of Young Academics (Tenure-Track Program). Upon meeting the general administrative requirements, you will be employed as a civil servant on limited tenure for an initial period of three years. If you receive a positive evaluation after the initial three years, this period can be extended by up to three further years. If you meet Osnabrück University’s standards with respect to ability, competence and academic achievement, you will be offered a tenured W2 Professorship in accordance with the relevant legal provisions without further application. Tasks and Responsibilities: Research and teaching should be in the area of computational neuroscience. The professorship and research should be focused on understanding principles of neuronal information processing and cognitive processes. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (e.g. RTG Situated Cognition, RTG Computational Cognition) and should participate in the respective continuation research proposal of the Research Training Group Computational Cognition. In addition, the professorship should engage in teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Conditions of Employment: Condition of employment is: - Research experience in the field of neuronal information processing with the focus of understanding principles of neuronal information processing or cognitive processes. - Research focus on at least one of the two following topics: - Methods of Experimental cognitive neuroscience like EEG, MEG, fMRI, TMS, cell recordings, eyetracking, or virtual reality - Models of information processing in neurons, networks of neurons like for example deep neuronal networks and machine learning. - A coherent research profile, must be motivated by or explain experimental data and there must be a realistic perspective to implement all parts of the own research, including the experimental components or data collection, at the university of Osnabrück. - An excellent command of the English language. - Willingness to participate in university administrative processes and commission work. For non-German speaking applicants, willingness is expected to learn the German language with a sufficient proficiency within two years. In addition, it would be welcome: - Teaching experience in the field of the professorship - Experience with acquiring third party research funding. Legal Conditions of Employment: You will hold a first degree, have a strong commitment to teaching, and have demonstrated your ability to engage independently in advanced academic research, as a rule by obtaining an outstanding PhD (in accordance with Section 30 subsection 2 of the Lower Saxony Higher Education Act [NHG]) in a relevant subject. The time between the applicant’s final PhD examination or the completion of other equivalent qualifications which qualify the applicant for the position in accordance with Section 30 para. 2 sentence 1 No. 3 Lower Saxony Higher Education Act and the applicant’s application for the assistant professorship should be no longer than four years. This period of time does not include periods caring for a child or several children under 18 years of age or periods caring for a dependent relative and increases by up to two years per child or period of care to a maximum four years in multiple cases of care (Section 30 para. 5 Lower Saxony Higher Education Act). The position is available on a full-time or part-time basis. Osnabrück University is a family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. If two candidates are equally qualified, preference will be given to the candidate with disability status. For further information, please contact Prof. Dr Gordon Pipa, Tel. +49 541-969-2277, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application (including a resume with full details of your scholarly and scientific employment history, list of publications and courses taught as well as planned research) in electronic form (as one pdf file) together with the “Bewerbungsprofil” [“Applicant Profile”] (DOCX, 13,58 kB) to the Dean of the School of Human Sciences, Prof. Dr. Susanne Boshammer, Universität Osnabrück, 49069 Osnabrück (bewerbungfb08(a)uni-osnabrueck.de) to arrive by March 27, 2022. Please enter the code word "CNtt" in the subject of your e-mail. We look forward to receiving your application. -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

Feb. 28, 2022

Cerebellar computation postdoc

by Nicolas Brunel

A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position. For more information on the labs: Regehr Lab: https://urldefense.com/v3/__https://regehrmedharvard.wordpress.com/__;!!OTo… Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to: Kim McDaniels Kimberly_Mcdaniels(a)hms.harvard.edu<mailto:Kimberly_Mcdaniels@hms.harvard.edu> Please have the subject of the email: “Computational Postdoc Applicant:” Your Name

Feb. 25, 2022

Assistant Prof (W1) TT @ Uni Osnabrück, Germany

by Ulrich G. Hofmann

This open position may be of interest to Comp Neuro scientists: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… ulrich hofmann

Feb. 25, 2022

Okinawa/OIST Computational Neuroscience Course 2022: application deadline extended

by Erik De Schutter

Because of impending changes to Japanese border controls we want to give potential applicants more time to consider spending a few summer weeks in Japan: the deadline for applications has been extended to Sunday March 2022. On Jan 25, 2022, at 11:31 , Erik De Schutter <erik(a)oist.jp> wrote: OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2022 Methods, Neurons, Networks and Behaviors June 13 to June 29, 2022 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc After two consecutive cancelations due to COVID-19, OCNC 2022 will take place on June 13-29, preceding Neuro2022 (https://neuro2022.jnss.org) in Okinawa. Depending on the immigration situation in June the course will be either pure on-site or hybrid: a mixture of on-site and remote. The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June June 13 through June 29, 2022 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only: January 26 - March 20, 2022. Applicants will receive confirmation of acceptance end of April. The 17th OCNC will be a shorter course than in the past: a two-week course covering single neurons, networks, and behaviors with time for student projects. Teaching will focus on methods with hands-on tutorials during the afternoons, and lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. However in the case of a hybrid format course, only on-site students will receive support for student projects. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Michael Berry II (Princeton University, USA) • Anne Churchland, Cold Spring Harbor Labs, USA • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll, Norwegian University of Life Sciences (online) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Yukiyasu Kamitani, Kyoto University, Japan • Bernd Kuhn (OIST) • Sang Wan Lee, KAIST, South Korea • Devika Narain, Erasmus Medical Center, Rotterdam, Netherlands • Viola Priesemann, MPG Göttingen, Germany (online) • Ivan Soltesz, Stanford University, USA • Greg Stuart, Australian National University, Australia • Greg Stephens (OIST) • Saori Tanaka, (ATR, Japan) • Marylka Yoe Uusisaari (OIST)

Feb. 25, 2022

Postdoctoral position in "Multiphysics Brain Aging Modeling" at Stevens Institute of Technology, New York City, USA

by Johannes Weickenmeier

Dear all. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier (www.weickenmeierlab.com<http://www.weickenmeierlab.com>). The Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available now until filled. To apply, please send a motivation letter, CV, and contact information for 2-3 references to Prof. Johannes Weickenmeier (johannes.weickenmeier (at) stevens.edu) Stay well, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering |phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

Feb. 23, 2022

14ᵗʰ Advanced Scientific Programming in Python in Bilbao Spain, 5–11 September, 2022

by Jakob Jordan

ASPP2022: 14ᵗʰ Advanced Scientific Programming in Python ======================================================== a Summer School by the ASPP faculty and the Faculty of Engineering of the Mondragon University, Bilbao https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 5–11 September, 2022. Bilbao, Spain. Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 1 May, 2022. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. We are in the process of securing some funds for supporting students with accommodation and living costs. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Jakob Jordan, Department of Physiology, University of Bern Switzerland • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde Denmark • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam Germany • Nicolas Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Diseases, University of Bordeaux France • Pamela Hathway, GfK, Nuremberg Germany • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany Organization team in Bilbao: • Aitor Morales-Gregorio, Theoretical Neuroanatomy, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich, Germany • Carlos Cernuda, Data Analysis & Cybersecurity, Faculty of Engineering, Mondragon Unibertsitatea, Bilbao Spain Website: https://aspp.school Contact: info(a)aspp.school

Feb. 23, 2022

Call for proposals for workshops and tutorials at CNS*2022 Melbourne

by Thomas Nowotny

OCNS Organisation for Computational Neurosciences Dear com-neuro community, We are requesting proposals for workshops and tutorials at CNS*2022 from the international community of computational neuroscientists. The 31st Annual Computational Neuroscience Meeting, CNS*2022, will be held at Melbourne, Australia, 16-20 July 2022. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2022 Meeting. This is an excellent opportunity to reach international audience of computational neuroscience researchers participating in this meeting. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org<mailto:workshops@cnsorg.org> or tutorials(a)cnsorg.org<mailto:tutorials@cnsorg.org> as appropriate. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals: April 15 Jorge Mejias, Workshops Chair for CNS*2022 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2022-call-for-tutorials Deadline for proposals: April 15 Anca Doloc-Mihu, Tutorials Chair for CNS*2022 With kind regards, Thomas Nowotny, Vice President, on behalf of The OCNS Board of Directors -- Prof Thomas Nowotny Head of AI Research Group School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873

Feb. 23, 2022

Fully funded PhD position, University of Groningen/NL

by Michael Biehl

*Last reminder, j**ust a few days left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications *(before March 1)* are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Feb. 23, 2022

NEUROTECH: Call for tutorials on Neuromorphic Computing

by Elisa Donati

Dear Colleagues, Given the success of last year’s NEUROTECH educational program, we have planned a new tutorial series for 2022! We are happy to announce a call for tutorials on the different aspects of the neuromorphic field. These tutorials will cover an aspect of active research in Neuromorphic Technology, with the aim of enabling a non-expert audience to get started on it. They will be held online via zoom, should be about 45 minutes in length, including a discussion session. Tutorials could be given by experienced researchers as well as emerging leaders who seek to disseminate their research methods to a wider audience. Presenters will benefit from the high visibility of the tutorial sessions within the NEUROTECH programme, and from the wider dissemination of their research methods and potential impact generated by other researchers. Proposals should not exceed 1 page (A4 or letter) in length. The proposal should outline the topic and indicate how the audience will benefit from it. Send your proposal by 07.03.2022 to educational(a)neurotechai.eu with the subject "Proposal for NEUROTECH Educational Tutorial". For more information: Call for Tutorials About NEUROTECH: The NEUROTECH project is committed to community building around Neuromorphic Technology. The educational programme is an essential pillar of our activities. Last year we have built a strong educational programme around a series of talks by leaders in the field (https://neurotechai.eu) Kind Regards, The NEUROTECH Educational Team

Feb. 23, 2022

Survey of the Allen Institute modeling software

by Anton Arkhipov

Dear Colleagues, We are conducting a survey about the Allen Institute’s neuroscience modeling software: https://forms.gle/R1ThdxBE98FhG1uQ6 The survey covers the Brain Modeling ToolKit, the SONATA file format, and the Visual Neuronal Dynamics visualization tool. It only takes several minutes, and we will appreciate to hear from you! Whether you are using our software, may be interested in using it, or are happily using something else, we will be glad to hear your opinion about our tools and modeling software in neuroscience in general. Please let us know what works, what doesn’t, and what new features would be helpful. Results of the survey will be used to improve our modeling software at the service of the community. This work is conducted under the NIH grant U24NS124001. Thank you, and we are looking forward to hearing from you! 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

Feb. 23, 2022

[Meetings] CRNS Talk Series (3) - Live Talk by Dr. Séverin Lemaignan - PAL Robotics, Spain

by Amir Aly

Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. Séverin Lemaignan* who is a senior scientist at *PAL Robotics*, Spain on Wednesday, March 2nd from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/97451532624?pwd=ZmVSUzkrT3lUNWdXNmFEekNYSjRQUT09… >> *Title of the talk*: Teaching robots autonomy in social situations *Abstract*: Participatory methodologies are now well established in social robotics to generate blueprints of what robots should do to assist humans. The actual implementation of these blueprints, however, remains a technical challenge for us, roboticists, and the end-users are not usually involved at that stage. In two recent studies, we have however shown that, under the right conditions, robots can directly learn their behaviours from domain experts, replacing the traditional heuristic-based or plan-based robot controllers by autonomously learnt social policies. We have derived from these studies a novel 'end-to-end' participatory methodology called LEADOR, that I will introduce during the seminar. I will also discuss recent progress on human perception and modeling in a ROS environment with the emerging ROS4HRI standard. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Feb. 22, 2022

9th Iberian Conference on Perception, Barcelona, June 2022

by Xavier Otazu Porter

Dear colleague, perception researcher, We are pleased to invite you to attend the 9th Iberian Conference on Perception (CIP 2022), which will be held on June 27th-29th, 2022, in Barcelona, Catalonia, Spain (https://www.cip2022.org<https://www.cip2022.org/>). CIP focuses on perception, with an emphasis on, but no limitation to, several aspects of perception such as motion perception, spatial vision, stereopsis, colour, perception and action, attention and cognition, audition, multisensory integration, reading and speech, brain imaging, art and aesthetics, perception in clinical populations and computational modelling. In addition to talks on this broad range of topics, the conference will include five symposia, poster sessions, and two keynote lectures from young internationally renowned scientists, Dr Iris Groen, from the University of Amsterdam, and Prof Manuel Spitschan, from the Max Planck Institute in Tübingen.. The event will take place at the Casa Convalescència<https://uab-casaconvalescencia.org/es/> in the modernist historical complex of Hospital de la Santa Creu i Sant Pau <https://www.santpaubarcelona.org/> in Barcelona, which was declared a UNESCO World Heritage Site in 1997. The COVID-19 pandemic forced us to break with the biennial organisation of CIP and to cancel the 2021 edition. For this year's edition, the health and safety of our speakers, attendees and staff will be a top priority. We designed the conference around this premise. The venue and program will allow social distancing while on site and regular ventilation of the conference room. All attendees will be asked to continue to wear face masks (unless medically exempt) during the conference and throughout all the premises of the Casa Convalescència. These policies will continue to be reviewed in line with government and local authority updates. We look forward to an exciting scientific programme and rely on the renewed eagerness of the research community to submit abstracts on their recent studies. Abstracts deadline: 15th April Registration: From February 15th to 1st June The Organising Committee Dr Xavier Otazu Dr Xim Cerda-Company Dr C. Alejandro Parraga Dr Olivier Penacchio Computer Vision Center<http://www.cvc.uab.cat> CONFIDENTIALITY WARNING<http://www.cvc.uab.es/?page_id=7475>

Feb. 22, 2022

Postdoctoral position in natural language processing and neuroscience, University of Geneva, Switzerland

by Timothée Proix

Dear all, a postdoctoral position is available under the supervision of Prof. Pierre Mégevand (https://www.unige.ch/medecine/neucli/en/groupes-de-recherche/1034megevand/) and Timothée Proix (https://ndlab.ch/) at the University of Geneva, Switzerland. The project lies at the interface between natural language processing and intracranial EEG data analysis. The goal of the project is to understand the neural representations of speech production and perception in conversations. The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have prior experience with machine learning methods for natural language processing, as well as in advanced data analysis techniques. Experience in electrophysiological recordings and knowledge in neuroscience is a significant advantage. The research will be performed at the campus Biotech in the university of Geneva, in collaboration with the Geneva University Hospital. The positions are funded by the private foundation of the Geneva University Hospital, and salaries are in compliance with guidelines of the University of Geneva. The ideal start is May 2022, with some flexibility. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to the Prof. Pierre Mégevand (pierre.megevand (at) unige.ch) as well as Timothée Proix (timothee.proix (at) unige.ch). Screening of applications will start by March 2022 and will continue until the position is filled. Timothée Proix

Feb. 21, 2022

NSF Neuronex Big Brain Imaging Hybrid Workshop @ Boston University - April 7-8, 2022

by Chen, Jerry

We are proud to announce the 2022 Big Brain Imaging Workshop hosted jointly by the NSF NeuroNex Nemonic Hub as well as the Boston University Neurophotonics Center! This two-day hybrid workshop will take place at Boston University and online on Thursday, April 7th and continue on Friday, April 8th, 2022. The 2022 Big Brain Imaging Workshop is an opportunity to join in the discussion on optical approaches for cellular resolution imaging of neuronal populations that have been highly instrumental for uncovering the principles of neural circuit function. To date, the microscope technology development for imaging the nervous system has largely been focused on applications on a subset of model species with smaller, optically accessible brains (ex. c. elegans, zebrafish, mice). The ability to translate these technologies to species with brains that are both physically larger and less optically accessible remains a challenge. The topic of the workshop is focused on advancing cellular resolution brain imaging techniques in "larger" brains of mammalian species (ex. rats, cats, ferrets, marmosets, macaques). The goal is to bring neuroscientists and optical engineers together to discuss challenges and come up with potential solutions that will pave the way for the next generation of microscopes that can be applied to a greater number of model organisms. Invited Speakers Daniel Aharoni - University of California, Los Angeles Adam Charles - Johns Hopkins University Anna Devor - Boston University David Fitzpatrick - Max Planck Institute Florida Emily Gibson - University of Colorado Anschutz Prakash Kara - University of Minnesota Jerome Mertz - Boston University Kristina Nielsen - Johns Hopkins University Anitha Pasupathy - University of Washington Bijan Perasan - New York University Nicholas Priebe - University of Texas, Austin Eyal Seidemann - University of Texas, Austin Lei Tian - Boston University Alipasha Vaziri - Rockefeller University Chris Xu - Cornell University In addition to the invited speakers, spots are available for short talks by visiting the registration page and submitting a brief abstract: For more information and free registration, visit: https://nemonic.ece.ucsb.edu/index.php/Big_Brain Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org<http://www.chen-lab.org> jerry(a)chen-lab.org<mailto:jerry@chen-lab.org> Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org<http://www.chen-lab.org> jerry(a)chen-lab.org<mailto:jerry@chen-lab.org>

Feb. 21, 2022

postdoc in Computational Neuroscience, Cambridge-Columbia collaboration

by Máté Lengyel

Postdoc in Computational Neuroscience, Cambridge-Columbia collaboration We are seeking a highly creative and motivated postdoctoral fellow to work on a collaborative project between the labs of Guillaume Hennequin and Máté Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, and Daniel Wolpert at the Zuckerman Mind Brain Behavior Institute, Columbia University. The project studies neural network mechanisms underlying the context-dependent (continual) learning of motor repertoires and ties together several threads of research recently developed in our labs, based on the following key publications (note that several are collaborative between our groups): - JB Heald, M Lengyel, DM Wolpert (2021) Contextual inference underlies the learning of sensorimotor repertoires. Nature 600:489-493. - TC Kao, MS Sadabadi, G Hennequin (2021). Optimal anticipatory control as a theory of motor preparation: a thalamo-cortical circuit model. Neuron 109:1567-1581. - TC Kao, KT Jensen, GM van de Ven, A Bernacchia, G Hennequin (2021) Natural continual learning: success is a journey, not (just) a destination. NeurIPS, https://tinyurl.com/2jfyss8c - Echeveste R, Aitchison L, Hennequin G, Lengyel M (2020) Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature Neuroscience 23:1138-1149. The postdoc will be based in Cambridge, with an opportunity for regular visits to Columbia. The successful candidate will have - a strong quantitative background - demonstrable interest in theoretical neuroscience - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in computational neuroscience, especially with the dynamics of recurrent neural network, and function-optimized neural networks - sufficient programming skills to run numerical simulations and to use large scale optimization packages - expertise with advanced data analysis and Bayesian techniques For further details and to send your application, please go to https://www.jobs.cam.ac.uk/job/33691/. For informal queries, please contact Guillaume Hennequin <g.hennequin(a)eng.cam.ac.uk>, Máté Lengyel <m.lengyel(a)eng.cam.ac.uk> or Daniel Wolpert <wolpert(a)columbia.edu>. Máté Lengyel -- Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: lengyellab.org

Feb. 18, 2022

KogWis2022 | 15th Biannual Conference of the German Cognitive Science Society +++ The call for symposia is open

by Constantin Rothkopf

Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2022 Theme: Understanding Minds Date: 5.-7. September 2022 Location: Freiburg im Breisgau, Germany Host: Albert-Ludwigs University Freiburg Web: https://www.kogwis2022.uni-freiburg.de/ Abstract: The 15. biannual Conference of the German Cognitive Science Society (KogWis2022) will take place from 5.-7. September 2022 in Freiburg i.Br., Germany, organized by the Center for Cognitive Science. The theme “Understanding Minds” reflects two perspectives: The conference provides a forum for all topics in the study of how minds – both human and artificial – operate. The theme also puts a specific spotlight on how cognitive systems make sense of the world, in particular in language comprehension and communication. The Call for Symposia for the 15th Biannual Conference of the German Cognitive Science Society, KogWis2022, is now open! https://www.kogwis2022.uni-freiburg.de/ Confirmed keynote speakers are: Dedre Gentner, Northwestern University, Illinois Seana Coulson, University of California, San Diego Marcel Brass, Humboldt University, Berlin Matthew Crocker, Saarland University, Saarbrücken For any inquiries please use the conference e-mail-address kogwis2022(a)cognition.uni-freiburg.de. Further information is available on the conference website: www.kogwis2022.uni-freiburg.de. Organising Committee: Evelyn Ferstl, Lars Konieczny, Rul von Stülpnagel, Lisa Zacharski, Judith Beck

Feb. 18, 2022

MBL Methods in Computational Neuroscience Course

by Stephen A. Baccus

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 28 to August 24, 2022, and the online application form can be found at: https://www.mbl.edu/education/courses/methods-in-computational-neuroscience/<https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN> The course application deadline is *March 30*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2022 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2022 Faculty: Larry Abbott, Columbia University Tim Behrens, Univ. College London Emery Brown, MIT Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Albert Compte, IDIBAPS Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind

Feb. 18, 2022

[jobs] Phd opportunity in Lille, France - Spiking Neural Networks for Video Analysis

by Ioan Marius BILASCO

The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student starting as soon as possible on the following subject : Spiking Neural Networks for Video Analysis The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. We are also involved in IRCICA (CNRS), a research institute promoting multidisciplanary research. At IRCICA, we collaborate with computer scientists and experts in electronics engineering to create new models of neural networks that can be implemented on low-power hardware architectures. Recently, we designed state-of-the-art models for image recognition with single and multi-layer unsupervised spiking neural networks. We were among the first to succesfully apply unsupervised SNNs on modern datasets of computer vision. We also developed our own SNN simulator to support experiments with SNN on computer vision problems. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN) in the field. Abstract: Spiking Neural Network have recently been evaluated on classical image recognition tasks [1]. This work has highlighted their promising performances in this domain and have identified ways to improve them to be competitive with comparable deep learning approaches. In particular, it demonstrated the ability of SNN architectures to learn relevant patterns for static pattern recognition in an unsupervised manner. However, dealing with static images is not enough, and the computer vision community is increasingly interested in video analysis, for two reasons. First, video data is more and more common and corresponds to a wide range of applications (video surveillance, audio-visual productions, autonomous vehicles...). Second, this data is richer than isolated static images, and thus offers the possibility to develop more effective systems, e.g. using motion information. Thus, it is recognized in the community that modeling motion in videos is more relevant than studying visual appearance alone for tasks such as action or emotion recognition. The next step for SNNs is therefore to study their ability to model motion rather than, or in addition to, image appearance. The goal of the Ph.D. candidate will be to explore the use of SNNs for space-time modeling in videos. This work will be targeted towards applications in human behavior understanding and especially action recognition. More specifically, the Ph.D. candidate is expected to: * identify what issues may prevent space-time modeling with SNNs and how they can be circumvented; * propose new supervised and unsupervised SNN models for motion modeling, which are compatible with hardware implementations on ultra-low power devices; * evaluate the proposed models on standard datasets for video analysis. Detailed subject: https://bit.ly/stssnnfox <https://bit.ly/stssnnfox> Candidates must hold a Master degree (or an equivalent degree) in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • bio-inspired computing; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in C++ is a plus, but not mandatory). This PHD thesis will be funded in the framework of the ANVI-Luxant industrial chair. The general objective of the Chair is to make a scientific and technological progress in the mastery of emerging information processing architectures such as neuromorphic architectures as an embedded artificial intelligence technique. The use-case studies will come from video protection in the context of retail and transportation. The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. For application, please send the following information in a single PDF file to Dr. Marius Bilasco (marius.bilasco(a)univ-lille.fr <mailto:marius.bilasco@univ-lille.fr>) with subject [PhD_Luxant-ANVI]: * A cover letter. * A curriculum vitae, including a list of publications, if any. * Transcripts of grades of Master's degree. * The contact information of two references (and any letters if available). We look forward to receiving your application as soon as possible, but no later than 26.3.2022

Feb. 17, 2022

[jobs] PhD opportunity - Spatio-temporal augmentation models for motion pattern learning - AI_PhD@Lille, France

by Ioan Marius BILASCO

The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student starting on October 1st 2022 on the following subject : Spatio-temporal data augmentation models for motion pattern learning using deep learning: applications to facial analysis in the wild The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN). Abstract: Facial expression analysis is a well-studied field when dealing with segmented and constrained data captured in lab conditions. However, many challenges must still be addressed for building in-the-wild solutions that account for various motion intensities, strong head movements during expressions, the spotting of the subsequence containing the expression, partially occluded faces, etc. In recent years, learned features based on deep learning architectures were proposed in order to deal with these challenges. Deep learning is characterized by neural architectures that depend on a huge number of parameters. The convergence of these neural networks and the estimation of optimal parameters require large amounts of training data, especially when dealing with spatio-temporal data, particulary adequate for facial expression recognition. The quantity, but also the quality, of the data and its capacity to reflect the addressed challenges are key elements for training properly the networks. Augmenting the data artificially in an intelligent and controlled way is an interesting solution. The augmentation techniques identified in the literature are mainly focused on image augmentation and consist of scaling, rotation, and flipping operations, or they make use of more complex adversarial training. These techniques can be applied at the frame level, but there is a need for sequence level augmentation in order to better control the augmentation process and ensure the absence of temporal artifacts that might bias the learning process. The generation of dynamic frontal facial expressions has already been addressed in the literature. The goal of this Ph.D. is to conceive new space-time augmentation methods for unconstrained facial analysis (involving head movements, occultations, etc.). Attention should be paid in assessing the quality standards related to facial expression requirements: stability over time, absence of facial artifacts, etc. More specifically, the Ph.D. can didate is expected to conceive augmentation architectures that address various challenges (motion intensities, head movements) while maintaining temporal stability and eliminating facial artifacts. More details are available here : https://bit.ly/staugm_motion <http://bit.ly/st_augm_motion> Candidates must hold a Master degree in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in C++ is a plus, but not mandatory). This PHD thesis will be funded in the framework of the AI_PhD@Lilleprogram. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ <http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/> The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD@Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 26.03.2021.

Feb. 17, 2022

job: staff scientist/team leader at NIMH

by Francisco Pereira

The National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), is recruiting for a Staff Scientist/Team Leader position to direct the Scientific and Statistical Computing Core/AFNI Team (https://afni.nimh.nih.gov).The primary function of this group is to support multimodal neuroimaging research in the intramural research program (IRP) at NIH. This includes (i) applying, extending, and developing new and existing software tools and techniques to conduct pioneering analyses on a diverse array of neuroimaging modalities (e.g. MRI, DTI, fMRI, MEG, PET, and EEG), (ii) advising and training IRP researchers on neuroimaging analysis methods, and (iii) leading the future growth and development of the AFNI code base ( https://github.com/afni/afni) Primary responsibilities of the Team Leader will include serving as a partner in and facilitator of neuroimaging research within the NIMH IRP; providing guidance on study design; and ensuring that appropriate standards of quality, rigor, and transparency are maintained. They will also act in coordination with the leaders of the Data Science and Sharing ( https://cmn.nimh.nih.gov/dsst) and Machine Learning Teams ( https://cmn.nimh.nih.gov/mlt) Finally, they will be responsible for management and supervision of approximately 9 full time staff members including software engineers, statisticians, and other biomedical science professionals. The successful candidate must be committed to scientific excellence and highly collaborative research, ensuring an immense impact on the fields of brain imaging and mental health research. Candidates must have earned a Ph.D. or M.D. and demonstrate experience as an outstanding scientist. Applicants must possess the ability to analyze, prioritize, and delegate resources while managing multiple projects. Expertise and experience should include demonstration of positive and collegial interactions with staff at all levels and the ability to communicate and promote their research, software, and scholarly contributions. Applicants should also have knowledge and experience in software engineering, including writing, distributing, maintaining, and supporting scientific software for a large user base while adhering to community recognized standards and practices. Please see the official posting https://cmn.nimh.nih.gov/compcore-job for more details, including instructions on how to apply.

Feb. 17, 2022

new Open Access Perspective

by Daniel Gardner

What do brains compute, and how do they do it? Has evolution conserved a small canonical set of computations performed by neural circuitry? In a just-published invited Perspective for the Journal of Computational Neuroscience, I present arguments for (and against) these fundamental questions. The title, Where are the cores in this thing? …and what are they computing? (with apologies to Larry Abbott) is of course an homage to Larry's 'Where are the switches on this thing?' It's Open Access and freely downloadable (tell your students and friends) at: https://link.springer.com/content/pdf/10.1007/s10827-021-00809-1.pdf The very first sentence is: "Evolution conserves neural components and connectivity—does this extend to computations and circuitry?" I go on to note that independent of specific microcircuit connectivity, some key neuronal and network properties, conserved across all nervous systems, may be essential for computation. Candidates include irregular firing, stochastic plastic synapses, alternate A/D PSPs/spikes, nonlinear f-I, cellular longevity, dynamic but stable networks with both fixed and adaptive features, and local processing linked by distant connectivity for coherence and modulation. Collegially, I invite discussion. I also urge neuroscientists to add these questions to those that guide their own research, and I offer community efforts to widen the scope. ...Daniel Gardner, Ph.D. dan(a)med.cornell.edu dg458(a)columbia.edu Head, Laboratory of Neuroinformatics Professor Physiology & Biophysics/Neurology/Neuroscience Weill Medical College of Cornell University lab: (212) 746-6373 cell: (917) 902-0654

Feb. 17, 2022

NEST Conference 2022 - registration is open

by Hans Ekkehard Plesser

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2022. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! This year's conference will again take place as a virtual event on Thursday/Friday 23/24 June 2022. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

Feb. 17, 2022

Postdoctoral Researcher in Medical Interactive Technologies

by Mastaneh Torkamani

The University of Eastern Finland is inviting applications for a Postdoctoral Researcher position in Medical Interactive Technologies on the Joensuu Campus. The position will be filled for a 2-year term from 1.3.2022 (or as agreed). Please find more information below and submit your application no later than 25.2.2022. We are looking for a highly motivated and self-driven Postdoctoral Researcher to work full-time on an interdisciplinary research project funded by the Academy of Finland: "Next generation sensory monitoring for improving microsurgical skills and performance" led by Associate Professor Roman Bednarik (https://www.uef.fi/en/web/int) As our new Postdoctoral Researcher in Medical Interactive Technologies, you will be working in the School of Computing at the Faculty of Science and Forestry, Joensuu. The project is in collaboration with Kuopio University Hospital, Department of Neurosurgery and Microsurgery Training Center, https://www.microsurgerycenter.com/. The research will focus on deep understanding of sensorimotor perception and action in image-guided surgeries. A large part of the research evolves around the visual and tactile perception that underlies surgeon’s high-level skills, i.e. eye-hand coordination, action planning, and decision making. Situated in bimanual surgical tasks, our research combines human factors, human-robot interaction, computational modeling, machine learning, and computer vision for intelligent skill monitoring and interaction with robotic assistance in surgical procedures. For more information, please see the job advert at https://rekry.saima.fi/certiahome/open_job_view.html?did=5600&jc=16&id=0000… Please submit your application by using our electronic application form no later than 25.2.2022 (by 24.00 hours Finnish time). For further information on the position, please contact associate Professor Roman Bednarik, e-mail roman.bednarik(a)uef.fi, tel. +358 29 4453621 For further information on the application procedure, please contact HR-secretary Noora Hämäläinen, e-mail noora.hamalainen(a)uef.fi, tel. +358 29 4458 302 Best regards, Mastaneh Torkamani Azar, Ph.D. Postdoctoral Researcher Interactive Technologies Research Group School of Computing University of Eastern Finland Email: mastaneh.torkamani(a)uef.fi https://sites.uef.fi/int/

Feb. 17, 2022

Postdoc position at UTSA

by Fidel Santamaria

As part of a collaboration with the AFRL, the laboratory of Dr Santamaria at UTSA is looking for a talented postdoc to computationally study how fast thermal gradients impact synaptic mechanisms in dendritic spines. This will be part of a collaborative project between UTSA, AFRL, and other universities where experiments and simulations will combine to understand fundamental plasticity processes in neuronal synapses. The results will have important practical implications in neuroscience and biomedical engineering. The selected person will work on developing deterministic and stochastic models of how biochemical signals, involved in synaptic plasticity, are affected by thermal gradients. Interested individuals should send a CV and cover letter to Dr. Santamaria (fidel.santamaria(a)utsa.edu) The position is for one year, with the possibility of renewal. This position is only open to American citizens. Applicants must have experience with Python or Matlab and a background in physics or engineering is preferred. _______________________________________________________________________________ Fidel Santamaria, PhD Professor Department of Neuroscience, Development, and Regenerative Biology University of Texas at San Antonio www.utsa.edu/SantamariaLab<http://www.utsa.edu/SantamariaLab> Office: BSB 1.03.30 Tel +1(210) 458 6910

Feb. 16, 2022

Special issue of SIAP on the life sciences

by Kresimir josic

SIAM Journal on Applied Mathematics (SIAP) invites contributions for a special section on the life sciences to highlight the use and development of mathematical models and analysis tools to address life sciences issues that are of true biological, medical, or industrial relevance. Papers submitted to this special section will be peer-reviewed, subject to the review criteria of SIAP. Papers will initially be handled by guest editors. The window for submissions runs from February 15 to June 30, 2022. For information about this issue please see: https://bit.ly/3LsPxcw <https://bit.ly/3LsPxcw>

Feb. 14, 2022

Third session of the Brains Through Time Reading Club

by manuel molano

Dear all, I would like to bring to your attention the third session of the Brains Through Time Reading Club<https://sites.google.com/view/bbtreadingclub/home>! It will be on February 23rd (4pm CEST / 10 EST) and will include the participation of Leonard Maler<https://www.uottawa.ca/brain/people/maler-leonard>, Idoia Quintana-Urzainqui<https://twitter.com/idoiaeu>, Luis Puelles<https://scholar.google.com/citations?user=nIoLKVAAAAAJ&hl=en> and Paul Cisek<https://cisek.org/pavel/>. We will discuss the main ideas of the third chapter of the book: The origin of jaws and paired fins. You can register HERE<https://www.crowdcast.io/e/brains-through-time-3>. And in case you missed the previous sessions, you can watch them HERE<https://www.youtube.com/channel/UCDWFS3MBL9OhmpmL6mFmxsg/featured>.

Feb. 14, 2022

Computational Neuroscience Summer school in South Africa, DEADLINE TOMORROW

by Tim Vogels

Dear all, This is a reminder that the application DEADLINE for the next IMBIZO is TOMORROW. If you, or anyone you know who would benefit from this opportunity please consider applying: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2022 12 August - 4 September 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 15th February 2022 The #isiCNI2022 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 15th February 2022 * Notification of results: late April 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Demba Ba - Harvard University Adrienne Fairhall - University of Washington Peter Latham - University College London Daphne Bavelier - University of Geneva Timothy Lillicrap - DeepMind Jonathan Pillow - Princeton University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Alex Pouget - University of Geneva TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - McGill University Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Sanjukta Krishnaopal - University College London Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/>, as well as the Wellcome Trust <https://wellcome.org/>, Deep Mind <https://deepmind.com/> and Wits University <https://www.wits.ac.za/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

Feb. 14, 2022

[Jobs] Available Position: Professor in Artificial Intelligence (AI) at the University of Plymouth, UK

by Amir Aly

Dear All, *Apologies for cross-posting* *The School of Engineering, Computing, and Mathematics (SECaM)*, at the University of Plymouth has a unique opportunity for an outstanding academic and their team to join the School and strengthen our research, leadership, and collaboration in *Artificial Intelligence*. This is an opportunity to establish senior academic direction and growth in this core area of Artificial Intelligence and to build on multi-disciplinary collaboration, supporting the School’s strategic objectives to create a critical mass of expertise in the area of Artificial Intelligence aligning directly with Industry 4.0 and future national and international research opportunities and skills development needs. You will work together with colleagues to create a vision for our existing Centre for Robotics and Neural Systems (CRNS), which builds on the world-leading and international excellence performance in the field of computer science, social and cognitive robotics, neural computation, and others. You will join a community of over 100 staff and 2000 students who work alongside one another in world-leading facilities. This synergistic mix of academic disciplines has research strength aligned with challenges of the fourth Industrial Revolution, clean growth, digitalization, autonomy, and health technology, helping to develop pioneering, innovative solutions to real-world problems that have a genuinely positive impact upon society. The deadline is 25th February. For more information and to apply, please visit: https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhrservice…> Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Feb. 12, 2022

Running your new lab: tips and tricks - Panel discussion - 10th March 2022, 12h GMT / 13h CET

by Sidarus, Nura

Running your new lab: tips and tricks 10th March 2022 12h GMT / 13h CET Online To commemorate International Women's Day, we are delighted to host this practical panel discussion to provide support and inspiration for starting and running a lab. Save the date and do not miss the opportunity to share experiences with leading women scientists in cognitive sciences across Europe. Details and registration: https://www.eventbrite.co.uk/e/running-your-new-lab-tips-and-tricks-tickets… Our panel: * Prof Nivedita Mani, Professor of Psychology of Language, Georg-August-Universität Göttingen, Germany * Dr Jessie Ricketts, Reader in Psychology, Department of Psychology, Royal Holloway, University of London, UK * Prof Agnieszka Wykowska, Professor in Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia (IIT), Genova, Italy Organised and facilitated by Nura Sidarus (Royal Holloway University of London) & co-facilitated by María Jesús Maraver (Universidade de Lisboa). Supported by Women in Cognitive Science - Europe (WiCS-E) & Royal Holloway University of London. __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Department of Psychology Royal Holloway University of London | Egham | Surrey | TW20 0EX Office: Wolfson 248 | Tel: +44 (0) 1784 44 3717 Affiliate Member | Institute of Cognitive Neuroscience, UCL nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | www.nurasidarus.com<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

Feb. 11, 2022

Re: [Comp-neuro] Connectionists: crowd-sourcing COSYNE post-review score sheet

by Tim Vogels

Dear all, I shall neither confirm nor deny the validity of these results, but squinting my eyes, and not taking the various dimensions that we had to account for to make for a hopefully well-balanced conference, then yeah that looks like a very rough average of the several different thresholds we used. Once the dust settles and I’m not totally overwhelmed anymore (right!) Laura and I will sit down and write some sort of account of how things went down this year (follow us on Twitter - @visioncircuits and @tpvogels for updates on that). Thanks Laurent, for taking a first stab at this though, and keeping us on our toes. Did we get it right? Probably not in every way, and what we’ll write will be more more the next year than anything else. Do you have feedback? Please let us know, though I’d like to receive your criticism offline, if possible. It makes it much easier to digest. I hope this helps. All the best, Tim (sent from my phone) > On 11 Feb 2022, at 15:28, PERRINET Laurent <laurent.perrinet(a)univ-amu.fr> wrote: > > Dear community, > > As of today, I have received N = 82 answers from the google form (out of them, 79 are valid) out of the 881 submitted abstracts. In short, the total score is simply the linear sum of the scores relatively weighted by the confidence levels (as stated in the email we received from the chairs) and the threshold is close to 6.05 this year: > > > > More details in the notebook (or directly in this post) which can also be forked here and interactively modified on binder. > > cheers, > > Laurent > > -- > Laurent Perrinet - INT (UMR 7289) AMU/CNRS > https://laurentperrinet.github.io/ > > > > >> On 4 Feb 2022, at 09:19, PERRINET Laurent <laurent.perrinet(a)univ-amu.fr> wrote: >> >> Dear community >> >> COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are >> >> * 881 submitted abstracts >> * 215 independent reviewers >> * 2639 reviews >> >> If you have submitted an abstract (or several) you have recently received your scores. >> >> I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: >> >> https://forms.gle/p7eG1p6dJAkr4Cyg7 >> >> (Do one form per abstract.) >> >> For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results! >> >> Thanks in advance for your action, >> Laurent >> >> >> PS: if any similar initiative already exists, I'll be more than willing to receive feedback >> >> >> -- >> Laurent Perrinet - INT (UMR 7289) AMU/CNRS >> https://laurentperrinet.github.io/

Feb. 11, 2022

Re: [Comp-neuro] crowd-sourcing COSYNE post-review score sheet

by PERRINET Laurent

Dear community, As of today, I have received N = 82 answers from the google form<https://forms.gle/hjzWVemM4Jy9cBbZ9> (out of them, 79 are valid) out of the 881 submitted abstracts. In short, the total score is simply the linear sum of the scores relatively weighted by the confidence levels (as stated in the email we received from the chairs) and the threshold is close to 6.05 this year: [2022-02-11_COSYNE-razor]<https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet/blob/main/2…> More details in the notebook<https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet/blob/main/2…> (or directly in this post<https://laurentperrinet.github.io/sciblog/posts/2022-02-11-cosyne-reviewer-…>) which can also be forked here<https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet> and interactively modified on binder<https://mybinder.org/v2/gh/laurentperrinet/2022-02-11_COSYNE-scoresheet/mai…>. cheers, Laurent -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/ On 4 Feb 2022, at 09:19, PERRINET Laurent <laurent.perrinet(a)univ-amu.fr<mailto:laurent.perrinet@univ-amu.fr>> wrote: Dear community COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are * 881 submitted abstracts * 215 independent reviewers * 2639 reviews If you have submitted an abstract (or several) you have recently received your scores. I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: https://forms.gle/p7eG1p6dJAkr4Cyg7 (Do one form per abstract.) For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results! Thanks in advance for your action, Laurent PS: if any similar initiative already exists, I'll be more than willing to receive feedback -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/

Feb. 11, 2022

12 Postdoctoral positions - Ruhr University Bochum

by Vinita Samarasinghe

*12 postdoctoral positions (min. 3 years) in Neuroscience, Psychology, and Philosophy of Mind*** The Ruhr University Bochum and the University of Duisburg-Essen are among Germany’s leading research universities. They draw their strength from both the diversity and the proximity of natural sciences, humanities, and engineering disciplines on coherent campuses. These highly dynamic settings enable researchers to work across traditional boundaries of academic subjects and faculties. *We are searching for advanced postdocs who ideally already have ca. 2 years of research experience*and want to continue their careers in an inspiring environment that fosters interdisciplinary approaches. We aim to install an outstanding group of postdocs, starting on 1^st of April 2022 at the earliest, who are tightly integrated with the research focus “THINK@Ruhr”. Details of this research program as well as all further procedural details are outlined on the website: _*www.thinkatruhr.de* <http://www.ThinkAtRuhr.de/>_. Deadline of application is February 27, 2022. *Applicants should have *an excellent PhD in a research topic related to neuroscience, psychology, or philosophy of mind and should already have published in high-ranking peer-reviewed journals. The postdoc positions offer a focus on research only (no teaching or administration). It is expected that the successful candidate will submit a grant proposal to establish her/his own research group (e.g. ERC Starting Grant, Emmy Noether Research Grant, Sofja Kovalevskaja Award, etc.) during the postdoctoral period. Candidate selection will be based on whether submission of such a proposal is a realistic goal in addition to usual measures of scientific excellence. The candidates will be associated with faculty members who are named on the website thinkatruhr.de. THINK@Ruhr will foster and support any research activities of the postdocs. Our universities offer attractive academic career track options and family friendly conditions. For more information including application procedure and contact information please visit https://thinkatruhr.de/what-we-offer/

Feb. 11, 2022

PostDoc position in Göttingen: Retina research and computational neuroscience

by Gollisch, Tim

An exciting full-time postdoc position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The project centers on investigating information processing and neural coding in the neural network of the vertebrate retina, using a combination of experimental recordings with computational modeling and data analysis. The postdoc will contribute to our ongoing work under the ERC Consolidator Grant project CODE4Vision (https://www.retina.uni-goettingen.de/code4vision/) The work includes participation in recordings from the isolated retina (mostly mouse) with multielectrodes, using both wild-type retinas and optogenetic retina models of vision restoration therapy. Patch-clamp recordings are also a possibility. A strong focus will then be to combine these experiments with novel tools for data analysis and mathematical modeling, using cascade-type models (linear-nonlinear models and beyond), artificial neural networks, or machine-learning techniques to analyze the retinal network. Our research group is integrated into the strong and lively neuroscience research community of Göttingen, including the university, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen and of the Collaborative Research Centers "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) and "Mathematics of Experiment" (https://www.uni-goettingen.de/en/628179.html) For more information about the research group, please visit the group's website: https://www.retina.uni-goettingen.de/. We are looking for a highly motivated scientist with a good background in electrophysiology or computational/theoretical neuroscience. Experience in both of these areas is a bonus, but not required. Experience in computer programming or in scripting of data analysis routines is also a plus. The position is for 2 years initially with the possibility for renewal. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV, a statement of what interests you about the group's work, and contact details for two references. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.

Feb. 11, 2022

Groningen Spring School on Cognitive Modelling (4 to 8 April 2022)

by Thomas

Date: 4 to 8 April 2022 Location: Groningen, the Netherlands Fee: € 300 (late fee after March 7 will be € 350) www.cognitive-modeling.com/springschool After an enforced two-year covid break, we are excited to announce the fifth Groningen Spring School on Cognitive Modeling (4 to 8 April 2022), with a great lineup of speakers. The Spring School will cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and discriminative learning. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches. In addition, this year we are offering a lecture series on dynamical systems, which should be interesting for anyone looking into modeling cognitive dynamics at some or other level of abstraction. We recommend this lecture series as an excellent combination with Nengo, for those interested in neuromorphic computing. The first day will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as hands-on tutorials to get practical experience at working with the paradigm. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms. Please feel free to forward the information to anyone who might be interested in the Spring School. The Spring School team PS: Please note that, due to its interactive character, the spring school will be held as an offline-only event. We will not offer the option for hybrid or online teaching. In case the spring school needs to be cancelled at the last minute after all, participants will receive a full reimbursement. ______________ ACT-R Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo) Website: http://www.nengo.ca Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. Discriminative learning and the lexicon: NDL and LDL Harald Baayen, Yu-Ying Chuang, and Maria Heitmeier University of Tuebingen NDL and LDL are simple computational algorithms for lexical learning and lexical processing. Both NDL and LDL assume that learning is discriminative, driven by prediction error, and that it is this error which calibrates the association strength between input and output representations. Both words’ forms and their meanings are represented by numeric vectors, and mappings between forms and meanings are set up. For comprehension, form vectors predict meaning vectors. For production, meaning vectors map onto form vectors. These mappings can be learned incrementally, approximating how children learn the words of their language. Alternatively, optimal mappings representing the endstate of learning can be estimated. The NDL and LDL algorithms are incorporated in a computational theory of the mental lexicon, the ‘discriminative lexicon’. The model shows good performance both with respect to production and comprehension accuracy, and for predicting aspects of lexical processing, including morphological processing, across a wide range of experiments. Since mathematically, NDL and LDL implement multivariate multiple regression, the ‘discriminative lexicon’ provides a cognitively motivated statistical modeling approach to lexical processing. In this course, we will show how comprehension and production of morphologically complex words can be modeled successfully with the "Discriminative Lexicon" model for a range of languages (Hebrew, Maltese, English, German, Dutch, Mandarin Chinese, Korean, Kinyarwanda, Estonian, and Finnish). We will discuss the kinds of form and meaning representations that can be set up, including form features derived from the speech signal for auditory comprehension and semantic features grounded in distributional semantics. Furthermore, we will provide a survey of the measures that can be derived from the model mappings to predict empirical response variables such as reaction times in primed and unprimed lexical decision, spoken word duration, and tongue movements during speaking. Finally, participants will receive some training in using the JudiLing package for Julia. This package provides optimized code for implementing and evaluating components of a "discriminative lexicon" for a given language. Dynamical Systems: a Navigation Guide Teacher: Herbert Jaeger (University of Groningen) This lecture series gives a broad overview over the zillions of formal models and methods invented by mathematicians and physicists for describing “dynamical systems”. Here is a list of covered items: Finite-state automata (with and without input, deterministic and non-deterministic, probabilistic), hidden Markov models and partially observable Markov decision processes, cellular automata, dynamical Bayesian networks, iterated function systems, ordinary differential equations, stochastic differential equations, delay differential equations, partial differential equations, (neural) field equations, Takens’ theorem, the engineering view on “signals”, describing sequential data by grammars, Chomsky hierarchy, exponential and power-law long-range interactions, attractors, structural stability, bifurcations, phase transitions, topological dynamics, nonautonomous attractor concepts. In the lectures I work out the connecting lines between these different models and methods, aiming at drawing the "big picture". — Thomas Tiotto, PhD Candidate, CogniGron - Groningen Cognitive Systems and Materials University of Groningen Nijenborgh 9, 9747 AG Groningen, The Netherlands Email: t.f.tiotto(a)rug.nl Profile: https://www.rug.nl/staff/t.f.tiotto/ Office: 5161 0318

Feb. 11, 2022

Postdoctoral Fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience

by Paolo Avesani

A postdoctoral fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience We are pleased to announce the opening of one Postdoctoral Fellowship at the Neuroinformatics Lab, an interdisciplinary initiative between the Center for Mind/Brain Sciences (CIMeC) of the University of Trento, and the Center for Digital Health of Fondazione Bruno Kessler. The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. The goal is to pursue an integrated approach to pre-operative neurosurgical planning, combining structural and functional characterization of brain connectivity. The data driven strategy will take advantage of a unique dataset of intra-operative points of directed electrical stimulation and the related functional responses. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 2 year Postdoc Fellowship (May, 2022 - April, 2024). We welcome expressions of interest for this position, please contact Paolo Avesani (paolo.avesani@ <avesani(a)fbk.eu>unitn.it) and/or Emanuele Olivetti ( olivetti(a)fbk.eu) with your CV and a statement of intent. The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). To also consider a work/life balance, there is more than our passion for translational research. You can check these pointers for a flavor of life quality in Trentino: https://www.visittrentino.info/en; https://www.discovertrento.it/en A few papers related to the project are below: Bertò G,et al., (2021) Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation, Neuroimage, 224 https://doi.org/10.1016/j.neuroimage.2020.117402 Sarubbo S, et al., (2020) Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain, Neuroimage, 205 https://doi.org/10.1016/j.neuroimage.2019.116237 Astolfi P, et al., (2020) Tractogram filtering of anatomically non-plausible fibers with geometric deep learning, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) LNCS, vol 12267. Springer https://doi.org/10.1007/978-3-030-59728-3_29 Sarubbo S, et al., (2021) Planning brain tumor resection using a probabilistic atlas of cortical and subcortical structures critical for functional processing: a proof of concept, Operative Neurosurgery, 20(3), 175-183 https://doi.org/10.1093/ons/opaa396 -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

Feb. 11, 2022

Postdoc position - Computational Neuroscience - Ruhr University Bochum

by Vinita Samarasinghe

Deadline Extended! Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time *Postdoctoral position* (TV-L E13) in Computational Neuroscience. The position starts on July 1, 2022 and is funded for three years. The successful applicant will work on a collaborative project (within the Collaborative Research Center “Extinction Learning” (SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/>)), together with experimentalists to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280, * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, * coordinate research with other participating projects. Candidates must have: * a doctorate degree in neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English, * the ability to work well in a team. Research experience in neuroscience would be a further asset. The position is third party funded and does not have any formal teaching duties attached. The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. For further information see www.rub.de/cns. The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. The Institute for Neural Computation 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. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to *samarasinghe(a)ini.rub.de*. In addition, at least two academic references must be sent independently to the above email address. The deadline for applications is *February 20, 2022*. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to network with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. If you have any questions please feel free to get in touch with Vinita Samarasinghe (contact below) -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

Feb. 10, 2022

4 PhD/postdoc positions in ML for neuroscience, cognitive science and physics

by Ecker, Alexander

We have four open positions for PhD students or postdocs in the Neural Data Science Lab at the Campus Institute Data Science (University of Göttingen) and the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. If you want to work with us on exciting projects developing machine learning methods for neuroscience, cognitive science and physics, please check out the three short project descriptions below and apply now. Details can also be found on our website: https://eckerlab.org/applications/ Application documents including a short motivation letter, CV, transcript of records (PhD students) and the contact details of two references should be sent to Alexander Ecker: ecker(a)cs.uni-goettingen.de<mailto:ecker@cs.uni-goettingen.de> We value diversity and equality. We therefore particularly encourage international and female applicants as well as applications from underrepresented groups or candidates with disabilities. ============ *(1) Data-driven multi-modal discovery of cell types in the neocortex* Understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience. In this project, we develop deep learning methods for data-driven identification of excitatory cell types in the visual cortex and to understand how a neuron’s morphology relates to its function. We will harness a unique large-scale functional anatomy dataset: a combination of electron-microscopy reconstructions at sub-micrometer resolution with two-photon functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. This project is funded by the European Research Council through an ERC Starting Grant and in tight collaboration with Andreas Tolias' lab at Baylor College of Medicine, Houston, TX, USA. Regular visits at our collaborator’s lab in Houston are possible/encouraged. ============ *(2) Action Capture Platform: Deep learning for movement analysis and action classification* Studying social interactions and the underlying cognitive processes in humans and nonhuman primates requires observing and quantifying their behaviour, including body and head orientation, both in interactive lab settings and in the wild. The long-term goal of this project is to develop methods for automated, video-based recognition, motion tracking, and pose estimation of individual nonhuman primates as well as recognition of action types and inter-agent interactions in groups of primates freely moving primaates. We strive for generalisation across a range of primate species and varying real-world environmental conditions without the need to acquire detailed keypoint annotations in every context. The automated behavioural analysis tools developed in this project constitute a key enabling technology for a Collaborative Research Center focused on studying the Cognition of Interaction. Role: Postdoc (preferred) or PhD student Your profile: Strong background in machine learning (deep learning in particular) and/or computer vision. Experience with congitive science is a strong plus, but not a requirement. This project is funded by the German Research Foundation (DFG) as part of Collaborative Research Center SFB 1528 – Cognition of Interaction and in collaboration with several groups at the German Primate Center: Julia Ostner, Claudia Fichtel, Julia Fischer ============ *(3) Holography reconstruction using deep learning* Digital in-line holography is a very powerful method to investigate particles in turbulent fluid flows such as atmospheric clouds, aerosols, etc. using the diffraction patterns of the particles illuminated by coherent light. Currently, wider use of the technique is held back both by a data processing bottleneck and the degradation in hologram quality in field measurements compared to laboratory experiments due to the physical environment. In this project, we will train machine learning algorithms to reconstruct holograms using a combination of real holograms from the lab and the field and simulated datasets. We will start with simple idealized Lorenz-Mie theory, but later extend to full wave-equation calculations including non-flat and non-Gaussian beams, realistic defects in the optical components, dirty optics, camera micro-lens arrays, pixel cross-talk and digitization errors, non-spherical particles including ice crystals, aggregate particles with different indices of refraction, non-perfect collimation, non-perfect alignment, spatial variation in the index of refraction of the air in the view volume due to temperature gradients, multi-scattering from multiple particles, etc. Role: Postdoc (preferred) or PhD student Your profile: Strong background in physics. Experience with machine learning (deep learning in particular) and computer vision is a strong plus, but not a requirement. This project is in collaboration with the lab of Eberhard Bodenschatz and funded by the Max Planck Institute for Dynamics and Self-Organization. ============ -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

Feb. 9, 2022

On behalf of Michele Ferrante: New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors

by Reinoud Maex

Begin forwarded message: From: Michele Ferrante <mferran1(a)gmu.edu<mailto:mferran1@gmu.edu>> Subject: New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors Date: 4 February 2022 at 11:04:45 GMT To: <comp-neuro-owner(a)neuroinformatics.be<mailto:comp-neuro-owner@neuroinformatics.be>> New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors https://grants.nih.gov/grants/guide/notice-files/NOT-MH-22-090.html Purpose Background and Rationale This Notice of Special Interest (NOSI) encourages projects to experimentally test mechanistic hypotheses on the role of neuro-glia activity coupling in modulating complex behaviors. The human brain regulates complex behavior by processing information across ~170 billion cells, including ~86 billion neurons and ~84 billion glial cells. The influence of glial cell types (i.e., astrocytes, oligodendrocytes, and microglia) on neural activity may explain behavioral processes across broad spatio-temporal scales and hierarchies. For example, astrocytes may regulate cognitive functions by releasing gliotransmitters that activate hundreds of neuronal synapses at once, regulating system-level short-/long-term plasticity. Activity changes in neuro-oligodendrocytes networks may dynamically regulate myelin axon-sheathing, which in turn may affect action potential conduction, neuronal spike timing, and oscillations linked to cognitive/social/affective processes. Finally, microglia activity-dependent synaptic pruning may alter behaviorally activated neural networks over long time scales. Discovering how mechanistic dysfunctions in neuro-glia interactions may alter behavioral phenotypes relevant to mental health is a challenge with potentially high translational impact. Studying how neuro-glia activity coupling affects complex behavior has been challenging in part due to technical barriers. For example, until recently, the field lacked reliable and selective tools to manipulate glial cells. Biotechnology is now expanding the range of possible investigations into glial function by providing new methods necessary to record and manipulate glial cells with mouse lines and viral methods expressing designer reporters, sensors, and actuators of glial activity. Advances in metabolic imaging and genetically encoded activity measurements allow for simultaneous observation of interactions in neurons and glial activity. Tools are also available for selectively stimulating and silencing glia cells’ calcium signaling in-vivo through designer receptors exclusively activated by designer drugs (DREADDs) and optogenetics. In parallel, basic behavioral neuroscience has been rapidly advanced by integrating system-level neurotechnology with computational modeling. Computational models (e.g., reinforcement learning, drift-diffusion, Bayesian, biophysically realistic, dynamical systems, and deep neural networks) have directly linked behavioral parameters and the neural substrates that compute them, but the role of non-neuronal cells in these computations have been largely ignored. Thus, the integration of computational modeling approaches to investigate neuro-glia interactions could provide new perspectives on how they enable complex behavior and how they become altered in mental illnesses. Combining newly developed experimental methods for recording and controlling neuro-glia activity with rigorous computational approaches may inform mechanistic models of how neuro-glia interactions may compute or fail to compute cognitive and socio-affective functions relevant to neuropsychiatric disorders. Responsive Areas of Research Examples of research areas that may be included in applications submitted under this NOSI include, but are not limited to, the application of existing or novel: * Experimental methods to measure or control glial activity in behaving animals to elucidate the role of neuro-glia activity in cognitive or socio-affective behaviors. * Biologically inspired computational approaches to provide a mechanistic explanation of the consequences of neuro-glia interactions during cognitive or socio-affective behaviors. * Computational models able to map fine-grained cognitive or socio-affective behavioral parameters onto neuro-glia computations. * Neuro-glia computational principles or mechanistic knowledge derived from animal experiments in Basic Experimental Studies Involving Humans (BESH). Applications must include both: * A well-conceived scientific rationale, question, and/or hypothesis grounded in cognitive or socio-affective science, where neuro-glia activity may mechanistically explain a complex behavior. * Measurement or control neuro-glia activity during complex behavior. Applications proposing to exclusively investigate the effects of glial cells on behavior will be considered responsive to this NOSI, but applications including measurement and/or manipulation of both glia and neurons will be given higher priority. Applications Not Responsive to this NOSI * Applications that do not include all the items contained in the “applications must include” section above are not responsive to this NOSI and will not be reviewed. * Applications exclusively focused on in-vitro preparations - without an in-vivo behavioral component - are not responsive to this NOSI and will not be reviewed. * Applications proposing to apply animal models of mental disorders or use broad batteries of behavioral tests in animals to address constructs that are accessible only in humans by self-report, such as “depression” or “anxiety,” are non-responsive to this NOSI. For additional information on NIMH’s guidelines and priorities for animal neurobehavioral approaches applicants are strongly encouraged to review NOT-MH-19-053<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-19-053.html>. Note: NIMH only accepts mechanistic studies that meet NIH's definition of a clinical trial through PA-20-183<https://grants.nih.gov/grants/guide/pa-files/PA-20-183.html> and PA-20-184<https://grants.nih.gov/grants/guide/pa-files/PA-20-184.html>. Applications directed to NIMH for intervention development must be submitted through PAR-21-130<https://grants.nih.gov/grants/guide/pa-files/PAR-21-130.html>. For further information on NIMH clinical trial policies, see NOT-MH-20-105<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-20-105.html> and NOT-MH-19-006<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-19-006.html>. Application and Submission Information This notice applies to due dates on or after June 5, 2022 and subsequent receipt dates through May 8, 2025. Submit applications for this initiative using one of the following funding opportunity announcements (FOAs) or any reissues of these announcement through the expiration date of this notice. * PA-20-184<https://grants.nih.gov/grants/guide/pa-files/PA-20-184.html> - Research Project Grant (Parent R01 Basic Experimental Studies with Humans Required) * PA-20-185<https://grants.nih.gov/grants/guide/pa-files/PA-20-185.html> - NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed) * PA-20-196<https://grants.nih.gov/grants/guide/pa-files/pa-20-196.html> - NIH Exploratory/Developmental Research Grant Program (Parent R21 Basic Experimental Studies with Humans Required) * PA-21-219<https://grants.nih.gov/grants/guide/pa-files/pa-21-219.html> - Joint NINDS/NIMH Exploratory Neuroscience Research Grant (R21 Clinical Trial Optional) * PA-21-235<https://grants.nih.gov/grants/guide/pa-files/pa-21-235.html> - NIMH Exploratory/Developmental Research Grant (R21 Clinical Trial Not Allowed) * PAR-21-175<https://grants.nih.gov/grants/guide/pa-files/PAR-21-175.html> - Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R01 Clinical Trial Optional * PAR-21-176<https://grants.nih.gov/grants/guide/pa-files/PAR-21-176.html> - Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21 Clinical Trial Optional) All instructions in the SF424 (R&R) Application Guide<https://grants.nih.gov/grants/how-to-apply-application-guide.html> and the funding opportunity announcement used for submission must be followed, with the following additions: * For funding consideration, applicants must include “NOT-MH-22-090” (without quotation marks) in the Agency Routing Identifier field (box 4B) of the SF424 R&R form. Applications without this information in box 4B will not be considered for this initiative. Applications nonresponsive to terms of this NOSI will not be considered for the NOSI initiative. Inquiries Please direct all inquiries to the contacts in Section VII of the listed funding opportunity announcements with the following additions/substitutions: Scientific/Research Contact(s) Michele Ferrante, Ph.D. National Institute of Mental Health (NIMH) Telephone: 301-435-6782 Email: ferrantem(a)nih.gov<mailto:michele.ferrante@nih.gov> Andrew Breeden, Ph.D. National Institute of Mental Health (NIMH) Telephone: 301-443-1576 Email: andrew.breeden(a)nih.gov<mailto:andrew.breeden@nih.gov>

Feb. 9, 2022

PostDoc position at UCL: endogenous brain fluctuations and decision making

by Tobias U. Hauser

PostDoc position in real-time fMRI at Max Planck UCL Centre for Computational Psychiatry We are looking for a PostDoc to work on an exciting project investigating the role of endogenous brain fluctuations on decision making, funded by my ERC Starting Grant. In this project, we will investigate how endogenous, spontaneous fluctuations (aka resting-state fluctuations) influence behaviour. In our previous work (https://pnas.org/content/116/37/18732.short) we showed that moment-to-moment fluctuations affect risk taking behaviour. Here, we want to build on this and see how wide-reaching these effects are, and what the pharmacological bases of these effects are. We are looking for someone with expertise in advanced functional neuroimaging and preferably experience in real-time fMRI. We think that a postdoc with advanced understanding of time-series analyses and in-depth fMRI experience would be best suited for this position. Even though the general topic is set, own ideas and project ideas will very much appreciated & encouraged! The position is for 2 years (at the first instance) and will be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging, located in Central London. If you have further questions, please contact Tobias Hauser (t.hauser(a)ucl.ac.uk) To read more about the research group, please see https://devcompsy.org/ Job advert here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTg4MjA4NSZ2dF90… -- Play smartphone games and help us understand the brain: www.brainexplorer.net Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk www.tobiasuhauser.com www.devcompsy.org

Feb. 8, 2022

14 Open positions in neurotechnology R&D

by Eduardo López-Larraz

Bitbrain is a neurotechnology company that combines neuroscience, artificial intelligence, and hardware to develop innovative products. We are currently looking for 14 highly talented and enthusiastic individuals to join our R&D team. The profiles vary across the entire R&D pipeline of neurotechnology applications in healthcare: neuro/biomedical engineering, electronic engineering, software engineering, computer science, data science, project management, clinical neuropsychology, neuroscience lab assistants. More information and application procedure: https://www.bitbrain.com/careers -- Eduardo López-Larraz, PhD Research Scientist R&D Department eduardo.lopez(a)bitbrain.com Twitter <https://twitter.com/Edu_Lo_L> Scholar <https://scholar.google.com/citations?user=wLM67tAAAAAJ> LinkedIn <https://www.linkedin.com/in/edulop> www.bitbrain.com +34 931 444 823 info(a)bitbrain.com Facebook <https://www.facebook.com/BitbrainEN> Twitter <https://twitter.com/Bitbrain_EN> LinkedIn <https://www.linkedin.com/company/2070341>

Feb. 7, 2022

Fully funded PhD position (4 years)

by Michael Biehl

Apologies for multiple postings *Three weeks left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications (before March 1) are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. ------------------------------------------------------------ Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Feb. 7, 2022

Cognitive & Computational Neuroscience postdoc

by Peter Dayan

Cognitive and Computational Neuroscientist Postdoctoral position to understand the function of long range connectivity in human cognition We are seeking a new colleague to work on a collaborative project studying human cognition between the laboratories of Professor Linda Richards<https://neuroscience.wustl.edu/people/linda-richards-phd/> at Washington University in St. Louis and Professor Peter Dayan<https://www.mpg.de/12309370/biological-cybernetics-dayan> at Max Planck Institute for Biological Cybernetics in Tubingen. The position will be based at Washington University in St. Louis. We are studying how people with corpus callosum dysgenesis, a major change in their global brain wiring connectivity, are able to process and integrate information during tasks involving decision making, social intelligence and memory. We are seeking a creative scientist with a background in cognitive neuroscience and computational neuroscience to develop analysis tools and pipelines and new models of cognitive function that will help guide our experimental approaches. Applicants should submit their CV and a cover letter explaining their background and interest in the position and working in both laboratories by April 4th, 2022. Please see job posting<https://wustl.wd1.myworkdayjobs.com/en-US/External/job/Washington-Universit…> for additional information. Linda J. Richards AO, FAA, FAHMS, PhD Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine MSC 8108-12-8, 660 S. Euclid Avenue, St. Louis, MO 63110 Office Phone +1 314 362 4198; Cell Phone +1 314 532 7187 Linda.Richards(a)wustl.edu<mailto:Linda.Richards@wustl.edu> (My pronouns<https://www.mypronouns.org/>: she, her, hers)

Feb. 5, 2022

crowd-sourcing COSYNE post-review score sheet

by PERRINET Laurent

Dear community COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are * 881 submitted abstracts * 215 independent reviewers * 2639 reviews If you have submitted an abstract (or several) you have recently received your scores. I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: https://forms.gle/p7eG1p6dJAkr4Cyg7 (Do one form per abstract.) For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results! Thanks in advance for your action, Laurent PS: if any similar initiative already exists, I'll be more than willing to receive feedback -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/

Feb. 4, 2022

Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. Please send the required documents if you are interested in. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — 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

Feb. 4, 2022

Postdoc Position In Austin Texas

by Franco Pestilli

Dear Friends and colleagues We are looking for an enthusiastic you fellow to join us on a 2-year project funded by an NIH R01 by the BRAIN initiative. The project focuses on open science and data sharing standards. We are set to extend the Brain Imaging Data Structure (BIDS) to cover brain connectivity data. Here you can find a full description of the project. BIDS has become an exciting standard and the community is growing large: https://bids.neuroimaging.io/ A few papers relevant to the project are below: https://www.nature.com/articles/sdata201644 https://www.nature.com/articles/s41597-019-0104-8 https://www.nature.com/articles/sdata2018110 https://www.nature.com/articles/s41597-019-0105-7 https://www.biorxiv.org/content/10.1101/2021.06.16.448390v1 https://www.medrxiv.org/content/10.1101/2021.10.22.21265382v3 We would appreciate it if you could share this email with your trainees and younger colleagues. The project has a broad reach and could be a great base for developing further projects related to human neuroscience, neuroinformatics, computer science and machine learning depending on the interest of the applicant. Best regards, Project Leader Franco Pestilli co-Investigators Russ Poldrack, Stanford University, California, USA Ariel Rokem, University of Washington Seattle, Washington USA Theodore Satterthwaite, University of Pennsylvania, Pennsylvania, USA Other Personnel. Franklin Feingold, Stanford University, California, USA Eugene Duff, Imperial College, London, UK Cyril Pernet, Neurobiology Research Unit, Denmark Robert Smith, Florey Institute, Australia Oscar Esteban, Lausanne, Switzerland Matt Cieslak, University of Pennsylvania, Pennsylvania, USA *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.

Feb. 2, 2022

CRNS Talk Series (2) - Live Talk by Dr. Rachid Alami - CNRS, France

by Amir Aly

Dear All * Apologies for cross posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. Rachid Alami* who is a research director and team leader at the *National Center for Scientific Research* (CNRS), France on Wednesday, February 9th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning and AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/98559430652?pwd=aDBpNWtZd3FZKzNVQ0FMbndxWjdWdz09… >> *Title of the talk*: Models and Decisional issues for Human-Robot Joint Action *Abstract*: This talk will address some key decisional issues that are necessary for a cognitive and interactive robot which shares space and tasks with humans. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. The system is comprehensive since it aims at dealing with a complete set of abilities articulated so that the robot controller is effectively able to conduct in a flexible and fluent manner a human-robot joint action seen as a collaborative problem solving and task achievement. These abilities include geometric reasoning and situation assessment based essentially on perspective-taking and affordances, management and exploitation of each agent (human and robot) knowledge in a separate cognitive model, human-aware task planning and interleaved execution of shared plans. We will also discuss the key issues linked to the pertinence and the acceptability by the human of the robot behaviour, and how this influence qualitatively the robot decisional, planning, control and communication processes. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Feb. 2, 2022

Entropy Special Issue : Formal Analysis of Deep Artificial Neural Networks

by Friedhelm Schwenker

Dear Researchers, The Entropy Journal (https://www.mdpi.com/journal/entropy) is currently running a Special Isuue on Formal Analysis of Deep Artificial Neural Networks <https://www.mdpi.com/journal/entropy/special_issues/DANN> (Deadline: *31 May 2022) *This Special Issue welcomes original research papers on the analysis of ANNs based on mathematically founded methods in general. Review articles describing the current state of the art of ANNs in the aforementioned contexts are highly encouraged. All submissions to this Special Issue must include substantial theoretical aspects of ANN research.* * Keywords * ANN architectures and learning in approximation and complexity theories * Cost functions and constraints in information-theoretic learning algorithms for ANNs * Complexity of deep, recurrent, or quantum ANN learning * Information-theoretic principles for sampling and feature extraction * Analysis of learning based on information-theoretic methods (e.g., information bottleneck approach) in deep, recurrent, or quantum ANNs * Applications of ANNs based on information-theoretic principles or quantum computing * Theoretical advances in quantum ANNs Please contact us: Edmondo Trentin <trentin(a)dii.unisi.it> or Friedhelm Schwenker <friedhelm.schwenker(a)uni-ulm.de> if you are interested in submitting your work. A number of waivers / discounts is available for interested authors. Best wishes, Friedhelm Schwenker Edmondo Trentin -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker@uni-ulm.de www:http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

Feb. 1, 2022

FLAIRS-35 May 15-18, 2022, Jensen Beach, Florida, Paper Deadline

by David B

FLAIRS-35 Special Track on Neural Networks and Data Mining The Florida Artificial Intelligence Research Symposium (FLAIRS) is an interdisciplinary conference which features double-blind reviewing, free tutorials, and a warm and sunny venue. Abstract Due Date: February 7, 2022 Submission Due Date: February 14, 2022 Conference: May 15-18, 2022 Jensen Beach, Florida Website: https://sites.google.com/view/flairs-35-nn-dm-track/home URL: https://www.flairs-35.info/call-for-papers Papers are being solicited for a special track on Neural Networks and Data Mining at the 35th International FLAIRS Conference (https://www.flairs-35.info/home) This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy; algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy; modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. Questions regarding the track should be addressed to: David Bisant at bisant(a)umbc.edu, Steven Gutstein at s.m.gutstein(a)gmail.com, or Bill Eberle at weberle(a)tntech.edu.

Feb. 1, 2022

Positions in neuro-AI at the Centre for Neural Dynamics

by Richard Naud

Frontiers of neuro-AI Primary Supervisor: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, Faculty of Medicine, Faculty of Science Secondary supervisor: Prof Jean-Claude Béïque<https://www.uottawa.ca/brain/people/beique-jean-claude>, Katalin Toth<https://med.uottawa.ca/cellular-molecular/people/toth-katalin> University of Registration: University of Ottawa, Faculty of Medicine<https://med.uottawa.ca/graduate-postdoctoral/> Project outline: Multiple Ph.D. and postdoctoral positions are available in the Neural Coding lab. The main goal of our research group is to understand how properties of neurons and synapses allows the brain to learn to complete difficult tasks. We are particularly interested in how cognitive-level functions - as formalized by artificial intelligence - can be implemented by neurons in particular systems [1-2]. In particular, our work explores the relationship between properties of cortical neurons and the diverse methods of credit assignment that have been used to train artificial neural networks. We are also interested in the relationship between mood-related networks (serotonergic centers, dopaminergic centers) and types of reinforcement learning. To study this, we perform computational modeling closely related to experimental data. Our work typically involves the development of both data analysis methods and the study of simulated neuronal networks. For an example of previous work see Ref [1-4]. The PhD project will be well suited to candidates ideally having experience in scientific programming, mathematical modeling, phsyics, mathematics, computer science or similar disciplines. The research projects require a meaningful navigation of electrophysiological, opto-physiological, behavioral and anatomical data. Programming skills (preferably Python) skills are highly desirable and knowledge of Machine Learning/Deep Learning or numerical simulation of physical systems is a plus. We are committed to working in an inclusive environment that encourages diversity while ensuring that everyone is treated equally. Our team is down-to-earth, diverse, inclusive and very dynamic. Please write to Dr. Richard Naud if you have questions. References: 1. Payeur, Alexandre, et al. "Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits." Nature Neuroscience 24.12 (2021): 1780-1780. 2. Harkin, Emerson F., et al. "Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework." bioRxiv (2021). 3. Harkin, E. F., et al. "Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation." Neuroscience (2021). 4. Lynn, Michael B., et al. "A Synthetic Likelihood Solution to the Silent Synapse Estimation Problem." Cell reports 32.3 (2020): 107916. Contact: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, University of Ottawa with up-to-date CV and research statement.

Jan. 31, 2022

DENDRITES 2022: abstract submission extended to Feb. 8th, 2022

by Yiota Poirazi

Dear friends and colleagues, Due to popular demand we have decided to extend the deadline for abstract submission until *February 8th, 2022*. Abstract submissions have already exceeded our expectations and DENDRITES 2022 promises to be a really exciting meeting! Looking forward to seeing you in May, Yiota, Kristen, Michael and Matthew On Sun, Jan 23, 2022 at 1:59 PM Yiota Poirazi <poirazi(a)imbb.forth.gr> wrote: > DENDRITES 2022 > EMBO Workshop on Dendritic Anatomy, Molecules and Function > Heraklion, Crete, Greece > 23-26 May 2022 > http://meetings.embo.org/event/20-dendrites > > Dear Colleagues, > > We are pleased to announce the solicitation of abstracts for short oral or > poster presentations at the EMBO Workshop on DENDRITES 2022, which will > take place in Heraklion, Crete on 23-26 May 2022. > > This is the 4th of a very successful series of meetings on the island of > Crete that is dedicated to dendrites. The meeting will bring together > scientific leaders from around the globe to present their theoretical and > experimental work on dendrites. The meeting program is designed to > facilitate discussions of new ideas and discoveries, in a relaxed > atmosphere that emphasizes interaction. We have secured an exciting list > of speakers, including: > > Anthony Holtmaat, University of Geneva, CH > Attila Losonczy, Columbia University, US > Christine Grienberger, Brandeis University, US > David DiGregorio, Institut Pasteur, FR > Dan Johnston, University of Texas at Austin, US > Hermann Cuntz, Ernst Strüngmann Institute for Neuroscience, DE > Holly Cline, The Scripps Research Institute, US > Idan Segev, Hebrew University, IL > Jackie Schiller, Technion, IL > Judit Makara, Institute of Experimental Medicine of the Hungarian Academy > of Sciences, HU > Julijana Gjorgjieva, MPI for Brain Research, DE > Karen Zito, University of California Davis, US > Linnaea Ostroff, University of Connecticut, US > Lisa Topolnik, Université Laval, Canada, CA > Mark Harnett, MIT, US > Peter Jonas, Institute of Science and Technology Austria, AT > Terry Sejnowski, Salk Institute, US > Wenbiao Gan, New York University, US > > Please register (no payment required) and submit your abstract online at: > > http://meetings.embo.org/event/20-dendrites > > Submissions of abstracts are due by *February 1st, **2022* > > Notifications will be provided by February 28th, 2022 > Registration payment due by April 15th, 2022 > > Potential attendees are strongly encouraged to submit an abstract as presenters > will have registration priority. > > For more information about the conference, please refer to our web site > or send email to info(a)mitos.com.gr > > We look forward to seeing you in person at DENDRITES 2022! > > The organizers, > Yiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser > -- > Panayiota Poirazi, Ph.D. > Research Director > Institute of Molecular Biology and Biotechnology (IMBB) > Foundation of Research and Technology-Hellas (FORTH) > Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete > GREECE > Tel: +30 2810-391139 / -391238 > Fax: +30 2810-391101 > Εmail: poirazi(a)imbb.forth.gr > Lab site: www.dendrites.gr > >

Jan. 31, 2022

Three Postdoc Openings at the Krembil Computational Neuroscience hub in Toronto (Canada)

by De Pitta, Maurizio

Three postdoctoral positions are available in the Computational Neuroscience hub of the Krembil Research Institute, University Health Network in Toronto (see https://kcnhub.com/) **Postdoc position at the Neuron-Glia Interactions Lab (PI: Dr. Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca) The postdoc project aims to reconstruction, modeling and simulation of astrocytes by new techniques that leverage cross-fertilization of biophysical modeling, topology, connectomics, and statistical classification. The ideal candidate should be strongly committed to multidisciplinary research, and have a strong background in computational biology with excellent programming skills. Strong analytical skills and essential knowledge of astrocyte biology are preferred. The position is for 1 year with the possibility to extend it for at least two more years depending on performance. For more info: https://kcnhub.com/jobs/computational-characterization-of-spatiotemporal-ca… . ** Two Postdoc positions at the Neural Systems & Brain Signal Processing Lab (NSBSPL, PI: Dr. Milad LANKARANY, milad.lankarany(a)uhnresearch.ca) Two postdoc positions are available at NSBSPL to develop a translational computing framework that allows to identify the relationship between electrical stimulation (e.g., deep brain stimulation) and neuronal responses at the cellular level, decipher their mechanistic pathways at the circuit level, and link neural activities to behavior and cognition. Both positions are for 1 year with the possibility to extend for at least one more year depending on performance. Requirements and details for each position are provided at https://kcnhub.com/jobs/computational-neuroscience-postdoc-position & https://kcnhub.com/jobs/neural-data-science-postdoc-position . Applications should include a short (<2 pages) letter of interest including a research statement, an updated CV, and the contact details of three academic advisors. The application should be provided as ONE SINGLE PDF and submitted to the PI of interest with the subject line “[Postdoc Application] <Full Name>” Contact details: Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca Milad, LANKARANY, milad.lankarany(a)uhnresearch.ca Screening of applications will start by February 2022 and will continue until the position is filled. For more details on the individual positions, visit https://kcnhub.com/jobs/category/postdoc. The Krembil Research Institute (Krembil) is the research arm of the Toronto Western Hospital (TWH) and one of the seven research institutes at the University Health Network (UHN). Krembil’s research programs focus on the brain, the eye and arthritis. Its laboratories are located at the Krembil Discovery Tower and at TWH’s Main, McLaughlin and Fell Pavilions. Prior to November 13, 2015, Krembil was known as the Toronto Western Research Institute. For more information: https://www.uhn.ca/Research/Research_Institutes/Krembil. The Krembil Brain Institute (KBI) at Toronto Western Hospital is home to one of the world’s largest and most comprehensive teams of physicians and scientists uniquely working hand-in-hand to prevent and confront problems of the brain and spine. One in three Canadians will experience a brain-related condition such as Parkinson’s, Alzheimer’s or stroke in their lifetime. Through state-of-the-art patient care and advanced research, the Krembil Brain Institute works relentlessly to find new treatments and cures. The Krembil Computational Neuroscience ‘hub’ (KCNhub) is hosted on the fourth floor of the Krembil Discovery Tower. It constitutes a grouping of Krembil scientists doing computational neuroscience research on various topics that include fundamental and translational neuroscience, bioengineering and biophysics.The KCNhub interfaces with the strong, local neuroscience research environment at the KBI and the University Health Network, and originated from the need to build theoretical and mathematical neuroscience expertise directly interacting with stakeholders of the adjacent Toronto Western Hospital. ----- 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. 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Jan. 30, 2022

Sharing my happiness upon receiving a 2022 PROSE award for my book

by Grossberg, Stephen

Dear Comp-Neuro colleagues, I am happy to report that my Magnum Opus Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://lnkd.in/ePfN_K85 # has won the 2022 PROSE award in Neuroscience from the Association of American Publishers <https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552> [cid:fa0c5a71-4275-43da-b80b-d48a7e24fd4b] <https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552> Best, Steve Grossberg

Jan. 29, 2022

special issue: What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories

by Claudius Gros

Dear all It is a pleasure to invite viewpoints and short reviews (10 pages max) on What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories Cognitive Computation, special issue https://www.springer.com/journal/12559/updates/20028534 submissions deadline: 15 April 2022 edited by Asim Roy, Claudius Gros, Juyang Weng, Jean-Philippe Thivierge, Tsvi Achler, Ali A. Minai. Aim and Motivation: Arguments about the brain and how it works are endless. Despite some conflicting conjectures and theories that have existed for decades without resolution, we have made significant progress in creating brain-like computational systems to solve some important engineering problems. It would be a good idea to step back and examine where we are in terms of our understanding of the brain and potential problems with the brain-like AI systems that have been successful so far. For this special issue of Cognitive Computation, we invite thoughtful articles on some of the issues that we have failed to address and comprehend in our journey so far in understanding the brain. We aim for rapid peer-reviews by experts (about two weeks) for all selected submissions and plan to publish the special issue papers on a rolling basis from early 2022. We plan to publish a collection of short articles on a variety of topics that could be asking new questions, proposing new theories, resolving conflicts between existing theories, and proposing new types of computational models that are brain-like. We are looking forward to your submission! Clauidus Gros -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

Jan. 29, 2022

In-person event: TEX2022 - Bringing together Predictive Processes and Statistical Learning

by Yamil Vidal

TEX2022: Bringing together Predictive Processes and Statistical Learning After our online meeting last year, this summer we want to welcome you for an in-person meeting in Trieste, Italy. The event will consist of morning lectures by the invited speakers and afternoon talks for which there will be an open call for abstracts. There will also be plenty of time for social activities and informal discussions. While all presentations will be delivered in person, it will also be possible to attend online. Confirmed Invited Speakers so far: Caspar Schwiedrzik, Floris de Lange, Lucia Melloni, Maria Chait, Nicola Molinaro and Ram Frost Where: International School for Advanced Studies (SISSA), Trieste, Italy. When: During the week of the 18th of July Please spread the word, save the dates and stay tuned for further details. 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

Jan. 28, 2022

DEADLINE Feb 15 for the Computational Neuroscience Imbizo in Cape Town, South Africa

by Tim Vogels

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let it swoosh by to join a diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2022 12 August - 4 September 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 15th February 2022 The #isiCNI2022 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 15th February 2022 * Notification of results: late April 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Daphne Bavelier - University of Geneva Timothy Lillicrap - DeepMind Jonathan Pillow - Princeton University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Alex Pouget - University of Geneva TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - McGill University Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Sanjukta Krishnaopal - University College London Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/>, as well as the Wellcome Trust <https://wellcome.org/>, Deep Mind <https://deepmind.com/> and Wits University <https://www.wits.ac.za/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

Jan. 26, 2022

Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory

by Stacie Warren

Hi, Posting for a colleague. Please direct any questions to Mai-Phuong Bo, lab manager, at maipbo(a)stanford.edu. Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory Stanford University The Stanford Cognitive & Systems Neuroscience Laboratory ( http://scsnl.stanford.edu) in the Department of Psychiatry and Behavioral Sciences is seeking a Director of Scientific Research. This is an exciting opportunity to manage the lab’s ongoing research on human brain function and dysfunction across the lifespan. The Director of Scientific Research will play a key role in day-to-day research operations of the lab and manage staff activities on funded research projects, including study and protocol design, data collection, data management & analysis, manuscript writing, and dissemination of scientific findings. The successful candidate will also take a lead in the development, writing, and submission of grant proposals across a range of funding mechanisms, including NIH, NSF, and private philanthropic foundations. The Director of Scientific Research will report to the Lab Director and Principal Investigator. This is an excellent role for an advanced postdoc with research experience in cognitive neuroscience, strong writing and analytical skills, excellent organizational and leadership skills, the ability to communicate clearly and effectively, and a passion for academic research. Interested applicants should submit ( https://careersearch.stanford.edu/jobs/director-of-scientific-research-13316) a CV and a cover letter describing qualifications for the position. Duties include: • Develop and implement standard operating procedures for effectively collecting, managing, and disseminating scientific research. • Oversee preparation and managing submission of IRB and regulatory protocols and reports to funding agencies. • Write and edit content for grant proposals, peer-reviewed publications, and other program activities under the general direction of PI. · Assist with the development of research grants, suggest new funding opportunities, write portions of grants, and/or summarize data for grant support. • Facilitate publication of research papers and reports. • Oversee and administer research activities by evaluating academic programs, making recommendations that impact policies and programs, and coordinating and implementing changes. • Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program. • Develop, implement, administer, and evaluate large-scale research programs in clinical neuroscience, psychiatry, and pediatric neuroimaging. • Represent the lab as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. • Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings. • Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spend. Develop strategic plans, budgets, and set timelines with the research team. • Oversee training of research staff and students. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Ph.D. with focus on cognitive, developmental, clinical, or experimental psychology or neuroscience, with 2 years of relevant postdoctoral research experience. • Track record in successful grant writing. • Strong publication record. • Ability to plan, organize, and manage the daily activities and operations of complex research projects in a University setting. • Ability to provide necessary leadership, including helping to maintain a high morale among co-workers and keep projects on track over an extended period. • Excellence in both written and verbal communication. • Strong interpersonal skills for communicating with schools, parents, children, and community officials who will be involved or contacted over the course of the project. • Ability to lead project teams and maintain good working relationships with supervisors, coworkers, and research subjects. • Ability to work efficiently, meet deadlines, and complete tasks with a high degree of accuracy with little oversight. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology Palo Alto University 1791 Arastradero Road Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

Jan. 25, 2022

Postdoc: lucid dreaming via brain stimulation, VR, EEG, ML

by Martin Dresler

Hi, for a collaboration between the Donders Institute and Bern University on the induction of lucid dreaming, we are looking for a postdoc with experience in (ideally: several) the following fields: brain stimulation, VR, HD-EEG, machine learning, sleep. Deadline soon, further information: https://dreslerlab.org/postdoc-position Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

Jan. 25, 2022

Announcing Okinawa/OIST Computational Neuroscience Course 2022

by Erik De Schutter

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2022 Methods, Neurons, Networks and Behaviors June 13 to June 29, 2022 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc After two consecutive cancelations due to COVID-19, OCNC 2022 will take place on June 13-29, preceding Neuro2022 (https://neuro2022.jnss.org) in Okinawa. Depending on the immigration situation in June the course will be either pure on-site or hybrid: a mixture of on-site and remote. The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June June 13 through June 29, 2022 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only: January 26 - February 28, 2022. Applicants will receive confirmation of acceptance in April. The 17th OCNC will be a shorter course than in the past: a two-week course covering single neurons, networks, and behaviors with time for student projects. Teaching will focus on methods with hands-on tutorials during the afternoons, and lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. However in the case of a hybrid format course, only on-site students will receive support for student projects. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Michael Berry II (Princeton University, USA) • Anne Churchland, Cold Spring Harbor Labs, USA • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll, Norwegian University of Life Sciences (online) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Yukiyasu Kamitani, Kyoto University, Japan • Bernd Kuhn (OIST) • Sang Wan Lee, KAIST, South Korea • Devika Narain, Erasmus Medical Center, Rotterdam, Netherlands • Viola Priesemann, MPG Göttingen, Germany (online) • Ivan Soltesz, Stanford University, USA • Greg Stuart, Australian National University, Australia • Greg Stephens (OIST) • Saori Tanaka, (ATR, Japan) • Marylka Yoe Uusisaari (OIST)

Jan. 25, 2022

Special Issue on Computational Neuroscience in the Journal of Physiology

by Michael Okun

Dear Colleagues, We would like to announce a special issue of the Journal of Physiology focused on computational neuroscience, to be published in commemoration of the 70th anniversary of the publication of the Hodgkin-Huxley model and to celebrate the 600th volume of the journal. The special issue will include a number of invited reviews covering synaptic and network models, with further information available in the issue's advert flyer: https://physoc.onlinelibrary.wiley.com/pb-assets/assets/14697793/Affiche_Co… To complement the above reviews, the journal seeks submissions of original research articles in all areas of theoretical and computational neuroscience. The submission deadline is 15th of April 2022. Additional details on the special issue can be found in the official announcement on the journal's webpage: https://physoc.onlinelibrary.wiley.com/hub/journal/14697793/resources/call-… Thank you, Katalin Toth and Michael Okun

Jan. 24, 2022

[3rd BCI-UC] Final program online

by Philipp Raggam

Dear colleagues, We are very excited to announce that the final program of the 3rd Brain-Computer Interface Un-Conference (BCI-UC) is now online: https://bciunconference.univie.ac.at/3rd-bci-uc/ All presentations are streamed live and free-of-charge on January 27th (Thursday), 2022, from 03:00 pm to 09:00 pm (CET) via: https://www.crowdcast.io/e/3rd-brain-computer-interface-unconference/1 The 3rd BCI-UC features keynotes by *Cynthia A. Chestek* on "Neural Interfaces for Controlling Finger Movements" and by *Thorsten O. Zander* on "The Age of Neuroadaptivity". In addition, we have seven contributed presentations and one panel discussion on a broad range of topics for BCI technologies. We are looking forward to seeing you all at the 3rd BCI-UC! Best regards, The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria

Jan. 24, 2022

Update IMRF 2022 in Ulm

by Marc Ernst

Dear colleagues and friends of IMRF, This is just a quick update on the International Multisensory Research Forum (IMRF), scheduled for July 4-7 2022 in Ulm, Germany. ( https://cops.ifp.uni-ulm.de/imrf2022/ <https://cops.ifp.uni-ulm.de/imrf2022/> ) We are monitoring the current pandemic situation very closely and as you are aware, predictions into the longer future have been proven to be very difficult. This uncertainty is why we did not update you earlier. Anyway, here is the current status of our planning and thinking: We are still very determined to host IMRF in the summer of 2022 as an in presence meeting. Whether or not there will be a hybrid addition to IMRF which would allow for also online participation, is not yet determined, as any hybrid format is a huge organisational challenge. To make it easier for you to decide whether or not you can travel to Germany in summer 2022, we have tried to post the deadlines for abstract submission and registration as late as possible. Currently, the abstract submission deadline is set to April 01, the date by which you can also change and adapt your already submitted abstract (and symposium contributions). The review process will start after this date. We strife to keep the already accepted symposia and ask the symposium organisers / attendees to update their information accordingly if individual talks need to be adapted. Please get in contact with us by the submission deadline in case of necessary substitutions, The early registration deadline is set to May 20 giving us a bit more than a month to plan with the number of participants. Given the current pandemic regulations in Germany to not pack rooms as densely as we used to, we may have to limit the number of participants to something around 180 to 200 people. However, as you are aware, the situation and thus rules keep changing. In any case it cannot hurt to register early to secure your space, as limits, if they apply, will be done on a first come first serve basis. Here is a link to the current regulations in the state of Baden Württemberg, which is permanently adapted as the situation changes: https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron… <https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron…> We will keep you posted as soon as we have more information. Stay safe and healthy - best, Marc --------------------------------------------------------- Prof. Dr. Marc Ernst Applied Cognitive Psychology Faculty for Computer Science, Engineering & Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room nr.: 43.3.103 mail: marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de> phone int.: +49-(0)731-50 320 50 phone ext.: +49-(0)731-50 356 27 sekr: +49-(0)731-50 320 51 mobile: +49-(0)152-22 543 156

Jan. 24, 2022

CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)

by Amir Aly

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (GMT) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Jan. 23, 2022

DENDRITES 2022: second call for abstracts due on Feb. 1st, 2022

by Yiota Poirazi

DENDRITES 2022 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 23-26 May 2022 http://meetings.embo.org/event/20-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2022, which will take place in Heraklion, Crete on 23-26 May 2022. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. We have secured an exciting list of speakers, including: Anthony Holtmaat, University of Geneva, CH Attila Losonczy, Columbia University, US Christine Grienberger, Brandeis University, US David DiGregorio, Institut Pasteur, FR Dan Johnston, University of Texas at Austin, US Hermann Cuntz, Ernst Strüngmann Institute for Neuroscience, DE Holly Cline, The Scripps Research Institute, US Idan Segev, Hebrew University, IL Jackie Schiller, Technion, IL Judit Makara, Institute of Experimental Medicine of the Hungarian Academy of Sciences, HU Julijana Gjorgjieva, MPI for Brain Research, DE Karen Zito, University of California Davis, US Linnaea Ostroff, University of Connecticut, US Lisa Topolnik, Université Laval, Canada, CA Mark Harnett, MIT, US Peter Jonas, Institute of Science and Technology Austria, AT Terry Sejnowski, Salk Institute, US Wenbiao Gan, New York University, US Please register (no payment required) and submit your abstract online at: http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 1st, **2022* Notifications will be provided by February 28th, 2022 Registration payment due by April 15th, 2022 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you in person at DENDRITES 2022! The organizers, Yiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810-391139 / -391238 Fax: +30 2810-391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

Jan. 23, 2022

CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)

by Amir Aly

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (BST) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

Jan. 23, 2022

We are recruiting a post-doc to work on a project using real-time fMRI neurofeedback

by Steve Weisberg

Hi all, Natalie Ebner and I are recruiting a postdoctoral researcher to work on real-time fMRI neurofeedback in the domain of spatial navigation in aging! If you (or someone you know) is interested, please get in touch! The Spatial Cognition and Navigational Neuroscience (SCANN <https://scannlab.psych.ufl.edu/>) and Social-Cognitive and Affective Development <https://ebnerlab.psych.ufl.edu/> Laboratories at the University of Florida are hiring a postdoctoral researcher who will lead real-time fMRI neurofeedback experiments related to the cognitive neuroscience of spatial navigation in aging and age-related pathology. The position will be co-supervised by Dr. Steven Weisberg and Dr. Natalie Ebner, in collaboration with Dr. Dawn Bowers. The initial position is a 2-year appointment, with subsequent renewals depending on funding availability. Preferred start date is *March 1, 2022,* but is negotiable. Salary will be paid at the NIH postdoctoral levels. *If interested, please contact Steven Weisberg *(stevenweisberg(a)ufl.edu) *and Natalie Ebner *(natalie.ebner(a)ufl.edu) *by email and include a CV and two letters of recommendation*. We will accept applications until the position is filled. Please note, if you do not meet the preferred qualifications or are not sure about position fit, *email us anyway*! *Required Qualification: *PhD in psychology, neuroscience, computer science, biomedical engineering, or a related field. *Preferred Qualifications: *(1) Experience with real-time fMRI neurofeedback; (2) Experience with fMRI design and analysis (including FSL, Matlab, or Python tools); (3) Experience with cognitive aging and/or Alzheimer’s disease is a plus. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

Jan. 21, 2022

Neuroscience data analyst at the European Neuroscience Insitute in Göttingen

by googlemail

The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), as well as techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g. through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments including the opportunity to develop and publish, e.g. analytical tools that arise from this work. • The applicant should possess a university degree (minimum M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. • The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant should also demonstrate strong analytical skills. Knowledge of novel and emerging analysis techniques is highly desirable. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups’ scientific process is expected. • The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. • In addition, contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. • Utilize programming languages such as Python, Matlab and/or C++. • A good command of English is mandatory. The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. The position is financed until December 31st, 2024 with extension options. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application (CV, letter of motivation) via e-mail as a single PDF-file to j.clemens(a)eni-g.de. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

Jan. 21, 2022

Two postdoc positions in computational and systems neuroscience

by googlemail

Two postdoc positions are available in the lab of Jan Clemens at the European Neuroscience Institute Göttingen, Germany. A major focus of the lab is discovering how sensory information is processed and integrated to drive behavior. We combine high-throughput behavioral assays, machine learning (pose tracking), computational modelling, and modern systems neuroscience tools (calcium imaging and optogenetics). The postdocs to be hired will focus on how different sensory modalities are integrated to organize social interactions in fruit flies, with the goal of identifying the neural substrates and computations driving social behavior. We are going to combine a variety of state-of-the-art techniques, including automated behavioral analyses, optogenetics, in-vivo two photon imaging, and computational modelling. The postdocs will have the opportunity to learn experimental and computational skills in the lab. Your profile: • PhD in neuroscience or biology, physics, engineering, computer science or equivalent. • Experience with at least one of these techniques: calcium imaging, electrophysiology, Drosophila genetics and behavior, computational modelling. • A track record of scientific publications or conference presentations. • Good command of the English language. The position is financed until January 31st, 2025. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application as a single pdf to Jan Clemens (j.clemens(a)eni-g.de) including a CV as well as names and contact details of two references. Please make sure to include a short statement of why this project interests you and how you think you could contribute, based on your scientific background. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

Jan. 21, 2022

Allen Institute Modeling Software Workshop

by Anton Arkhipov

Join us for the inaugural Allen Institute Modeling Software Workshop in beautiful Seattle, on July 25-26, 2022! https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person* workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output, supporting standardized and computationally efficient storage and exchange of models. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating large-scale neural network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on March 15. All applicants will be notified of the status of their application by May 20. *If conducting the workshop in person becomes impossible due to covid-related safety concerns, it will be replaced by an online workshop on the same dates. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

Jan. 19, 2022

Braincom online international workshop on Current advances on speech neural decoding and prostheses: Jan 26, 2022 (free)

by Blaise Yvert

Dear Colleagues, It is a pleasure to announce the following online workshop organized within the EU Braincom project on Current advances on speech neural decoding and prostheses. This event will feature the current work of EU/UK and US groups in the field. It will be held on January 26, 2022 The program and connection details can be found at the following page : https://sites.google.com/view/braincomspeechprosthesesws/accueil It is free to attend, so don't hesitate to connect and spread the information With my best regards and wishes for 2022, Blaise Yvert. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics Grenoble Institute of Neuroscience U1216 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://www.neurotech-lab.fr/ https://sites.google.com/view/blaise-yvert/accueil https://neurosciences.univ-grenoble-alpes.fr/ http://www.braincom-project.eu/

Jan. 18, 2022

Josh Tenenbaum speaking in Developing Minds global online lecture series, January 27, 16:00 UTC

by Jochen Triesch

Dear colleagues, you are cordially invited to the following talk in the Developing Minds global online lecture series (https://sites.google.com/view/developing-minds-series/home) Josh Tenenbaum, MIT "Reverse Engineering Human Cognitive Development: What do we start with, and how do we learn the rest?“ This live event will take place on: January 27, 2022 16:00 UTC (Coordinated Universal Time) 17:00 CET (Central European Time) 11:00 EST (Eastern Standard Time) 01:00 JST, January 28 (Japan Standard Time) Abstract: What would it take to build a machine that grows into intelligence the way a person does — that starts like a baby, and learns like a child!? AI researchers have long debated the relative value of building systems with strongly pre-specified knowledge representations versus learning representations from scratch, driven by data. However, in cognitive science, it is now widely accepted that the analogous “nature versus nurture?” question is a false choice: explaining the origins of human intelligence will most likely require both powerful learning mechanisms and a powerful foundation of built-in representational structure and inductive biases. I will talk about our efforts to build models of the starting state of the infant mind, as well as the learning algorithms that grow knowledge through early childhood and beyond. These models are expressed as probabilistic programs, defined on top of simulation engines that capture the basic dynamics of objects and agents interacting in space and time. Learning algorithms draw on techniques from program synthesis and probabilistic program induction. I will show how these models are beginning to capture core aspects of human cognition and cognitive development, in terms that can be useful for building more human-like AI. I will also talk about some of the major outstanding challenges facing these and other models of human learning. Bio: Josh Tenenbaum is Professor of Computational Cognitive Science at MIT in the Department of Brain and Cognitive Sciences, the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds and Machines (CBMM). He received his PhD from MIT in 1999, and taught at Stanford from 1999 to 2002. His long-term goal is to reverse-engineer intelligence in the human mind and brain, and use these insights to engineer more human-like machine intelligence. His current research focuses on the development of common sense in children and machines, the neural basis of common sense, and models of learning as Bayesian program synthesis. His research group's papers have been recognized with awards at multiple conferences in Cognitive Science, Computer Vision, AI, Reinforcement Learning and Decision Making, and Robotics. He is the recipient of the Distinguished Scientific Award for Early Career Contributions in Psychology from the American Psychological Association (2008), the Troland Research Award from the National Academy of Sciences (2011), the Howard Crosby Warren Medal from the Society of Experimental Psychologists (2016), the R&D Magazine Innovator of the Year award (2018), and a MacArthur Fellowship (2019). He is a fellow of the Cognitive Science Society, the Society for Experimental Psychologists, and a member of the American Academy of Arts and Sciences. Web: https://web.mit.edu/cocosci/josh.html To attend the talk, please register at: https://sites.google.com/view/developing-minds-series/home Kind regards, 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

Jan. 17, 2022

fully funded PhD position, Univ. of Groningen, NL

by Michael Biehl

A *fully funded PhD position* (4 years) in the *Statistical* *Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details. Applications (before March 1) are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information contact M. Biehl. ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen, The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Jan. 17, 2022

AREADNE 2022 2nd Call for Abstracts

by John Pezaris

AREADNE 2022 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 28 June - 2 July 2022 http://areadne.org info(a)areadne.org * * * * SECOND CALL FOR ABSTRACTS * * * * Dear Colleague, We would like to remind you that abstracts for poster presentation at AREADNE 2022 are coming due shortly. AREADNE 2022 will once again bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles in an informal yet spectacular setting, and with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at https://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 21 January 2022; notifications will be provided by 22 February 2022. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page https://areadne.org or send email to us at info(a)areadne.org. We hope to see you at AREADNE 2022, Nicholas Hatsopoulos and John Pezaris, Co-Chairs AREADNE 2022 --- John S. Pezaris, Ph.D. AREADNE 2022 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

Jan. 14, 2022

INCF IC preprint: Recommendations for repositories and scientific gateways from a neuroscience perspective

by Heather Topple

The INCF Infrastructure Committee (IC) - which provides recommendations for the strategic direction of INCF's infrastructure strategy and development - has a preprint available in arXiv. The preprint, titled *Recommendations for repositories and scientific gateways from a neuroscience perspective*, is a set of recommendations that can apply to a wide and diverse range of digital services, both repositories and science gateways, for data as well as software. These recommendations have neurosciences as their primary use case but are often general. Congratulations to authors and members Malin Sandström, Mathew Abrams, Jan Bjaalie, Mona Hicks, David Kennedy, Arvind Kumar, JB Poline, Prasun Roy, Paul Tiesinga, Thomas Wachtler, and Wojtek Goscinski! Learn more about it here: http://bit.ly/INCFICpreprintblog Read the paper here: bit.ly/INCFICpreprintarXiv Please feel free to forward this email to anyone in your network you feel would be interested. All the best, /Heather ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

Jan. 14, 2022

Working group publication: Active Segmentation for ImageJ

by Heather Topple

INCF's Active Segmentation for ImageJ working group - including GSOC students - has just published a paper in Brain Sciences as part of a special issue on neuroinformatics and signal processing. Congratulations to mentors Dimiter Prodanov & Sumit Vohra, and GSOC students Mukesh Gupta, Sanjeev Dubay, Joanna Stachera, Raghavendra Singh Chauhan, & Piyumal Demotte! Learn more about it here: bit.ly/INCFwgActiveSegblog Read the paper here: bit.ly/ActiveSegmentationpaper Please feel free to forward this email to anyone in your network you feel would be interested. All the best, ---------------------------- The INCF Secretariat International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

Jan. 13, 2022

Shanahan Foundation Fellowship at the Interface of Data and Neuroscience - apply now!

by Eric Shea-Brown

Overview The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is a three-year fellowship program that aims to: · Integrate data scientists in neuroscience research · Challenge traditional approaches to neuroscience · Provide multidisciplinary, multi-organizational co-mentorship · Provide a network and community · Support career development in data science The fellowship is co-hosted by the Allen Institute and the University of Washington (through the eScience Institute and the Computational Neuroscience Center) and is directed by Dr. Christof Koch at the Allen Institute. Neuroscience needs data scientists. The brain represents one of the most complex challenges facing science today. And now with advances in our methods to study the brain—Neuropixel probes that can record from 1000 neurons at once, growing consensus on data standards across laboratories—the field is flooded with data that needs interpretation. The skills of data scientists are essential to springboard the field to the next stage of discoveries. Towards that end, the Shanahan Foundation Fellowship was created to bring fresh perspectives into the field, encouraging data scientists from outside neuroscience to come and work with leading investigators at the Allen Institute and UW. The Allen Institute is unique in its infrastructure and pipeline that enables the production of standardized, reproducible data on the brain (as evidenced by our vast data banks <http://www.brain-map.org/>). Together with our collaborators at the UW computational Neuroscience Center and eScience Institute, we provide data scientists with the ideal opportunity and resources to mine for novel insights and discoveries. Details You do not need experience in neuroscience to apply. The goal of the fellowship is to provide opportunities to non-traditional applicants who would not typically be funded by the typical postdoctoral fellowships in neuroscience. The fellowship has been purposefully designed to give fellows the time and mentorship to get up to speed in a new field and new data collection techniques and methods. Fellows will be employed by the Allen Institute as either a Scientist I or a Scientist II (with a matching salary) and will receive an affiliate postdoctoral appointment at UW. During the three-year fellowship, fellows will identify a mentor at the Allen Institute, where the fellows will be based. Fellows will select a co-mentor at the University of Washington who will provide additional guidance on a project designed by the fellow, focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks <http://www.brain-map.org/> – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in the brains of mice, non-human primates and humans – or through ongoing laboratory work. Each fellow will have the opportunity to mentor a fully-funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows will participate in the postdoctoral career development program at the University’s e-Science Institute and the UW Computational Neuroscience Center. The eSciences Institute offers regular workshops on key topics including cloud computing, python and reproducibility. New fellows will attend the annual Summer Workshop on the Dynamic Brain <https://alleninstitute.org/what-we-do/brain-science/events-training/summer-…> where they will learn how to apply data science skills to neuroscience data and questions. Throughout the three years, fellows will be supported in developing a network in the neuroscience field and sharing their progress with peers at conferences. Up to three fellows will be selected to begin in Fall 2022. Eligibility Requirements Applicants must be data scientists in a broad sense, with a Ph.D. in a quantitative field such as computer science, statistics, electrical engineering, physics, mathematics or biology with a background in statistical, computational and machine learning methods. Ph.D.’s should have been awarded in the last 3 years. One goal of the fellowship is to build a network of collaborators, as such, priority will be given to applicants who are not currently postdoctoral fellows or scientists at the University of Washington or the Allen Institute. We believe high-quality science can only be produced when it includes different perspectives. We are building an environment of diversity and inclusion and encourage people from all backgrounds to apply for this fellowship. Application Instructions For full consideration, please submit your application by February 1, 2022. Applications may continue to be considered after this deadline on a rolling basis until positions are filled. Learn more and apply on the Shanahan Fellowship Website <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…>. https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda… <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> Applications must include: · A curriculum vitae from the applicant · Two letters of support from advisors and other mentors · A one-page personal statement from the applicant describing their history, activities, and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields. · A two- to three-page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals. · The choice of the final advisor/co-advisor will be accomplished during the first year of this fellowship. Questions? Email: shanahan.fellow(a)alleninstitute.org <mailto:shanahan.fellow@alleninstitute.org>

Jan. 12, 2022

Summer workshop on the dynamic brain -- apply now!

by Eric Shea-Brown

Applications are now open for the 2022 Summer Workshop on the Dynamic Brain. Founded by Adrienne Fairhall and Christof Koch, this annual two-week course is co-hosted by the Allen Institute MindScope Program and the Computational Neuroscience Center at the University of Washington. The Summer Workshop on the Dynamic Brain is an intensive, project-based residential course with a focus on the neurobiology of sensory processing, coding, and neural population dynamics. This program is intended for researchers at the graduate and postdoctoral level with an interest in developing the intersection of their scientific knowledge and their computational skills. Learn more and apply at https://alleninstitute.org/what-we-do/brain-science/events-training/summer-… Applications are due Feburary 1, 2022. Please contact dynamicbrain(a)alleninstitute.org with any questions.

Jan. 12, 2022

DENDRITES 2022 call for abstracts - Feb. 1st, 2022

by Yiota Poirazi

DENDRITES 2022 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 23-26 May 2022 http://meetings.embo.org/event/20-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2022, which will take place in Heraklion, Crete on 23-26 May 2022. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register (no payment required) and submit your abstract online at: http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 1st, **2022* Notifications will be provided by February 28th, 2022 Registration payment due by April 15th, 2022 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you in person at DENDRITES 2022! The organizers, Yiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810-391139 /-391238 Fax: +30 2810-391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810-391139 / -391238 Fax: +30 2810-391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

Jan. 11, 2022

POSTPONED - Women in Memory Research - Workshop - March 7-9, 2022

by Vinita Samarasinghe

Dear all, due to the increasing incidence numbers here in Germany we have decided to postpone the WiMR workshop. It will instead be held in summer 2023 in conjunction with the conference GEM 2023. Call for papers and conference and workshop details will be posted here, and on our website https://for2812.rub.de, once they have been finalized. We look forward to greeting you here in Bochum, Germany in 2023 and apologize for any inconvenience caused. Kind regards, Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de On 23.12.21 14:17, Vinita Samarasinghe wrote: > > In conjunction with International Women's Day the FOR 2812 is > organising its first “*Women in Memory Research*” event from *March > 7-9, 2022.* > > The percentage of senior female university researchers in our field > (in Germany) lies between 21% and 29%. Our goal is to increase these > numbers! So come and learn what an academic career looks like at the > Ruhr University Bochum and discover its advantages. You'll be > introduced to the university and it's support structures, be able to > participate in university wide programs, meet with female faculty, > listen to some amazing scientific talks, present your research, and > see what collaborative research looks like in the RUB memory research > community. > > Sounds exciting? > > *Who can apply:*Female master’s students in their final year of study > and recently graduated master’s students who are looking into an > academic career in the area of memory research/neuroscience. > Applicants must have excellent grades and be able to communicate in > English. Selection of participants is competitive. We only have space > for 12 participants! > > *How to apply:*Send your application including a one page letter of > motivation, a current CV, master’s transcripts and a letter of > recommendation from one of your professors. Your application should be > sent, as a single PDF document, to Vinita Samarasinghe > @for2812@rub.deby January 23, 2022. If you need child care or any > other support please note this in your application. > > *What to expect:*We will provide accommodation and cover travel costs > of up to 500 Euro (some meals are included). The program will be > offered in English; however, certain programs offered by the Ruhr > University in conjunction with International Women's Day may be only > available in German. You will be asked to present your current > research in the form of a poster. > > *Contact:*Vinita Samarasinghe,for2812(a)rub.de, Tel: +49 234 32 27996, > https://for2812.rub.de > > -- > Vinita Samarasinghe M.Sc., M.A. > > Science Manager > Arbeitsgruppe Computational Neuroscience > Institut für Neuroinformatik > Ruhr-Universität Bochum, NB 3/73 > Postfachnummer 110 > Universitätstr. 150 > 44801 Bochum > > Tel: +49 (0) 234 32 27996 > Email:samarasinghe@ini.rub.de

Jan. 11, 2022

postdoctoral position in the Canavier lab

by Canavier, Carmen C.

A postdoctoral position will become available in the very near future in the Canavier computational neuroscience lab at LSU Health Science Center in New Orleans, Louisiana. Our lab focuses on modeling single neurons and networks in a synergistic loop with experimental collaborators Jochen Roeper, John White and Sonia Gasparini. We are interested in how oscillations are generated and how networks synchronize, and in how the intrinsic properties of neurons contribute to how they integrate their inputs. A quantitative background in electrical engineering, physics, mathematics, computer science or a related field coupled with a passion for applying quantitative techniques and theory to neuroscience is required. We are primarily interested in 1) theta and gamma oscillations in the hippocampus and 2) in the dopamine neurons of the basal ganglia. Please contact Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu> for more information.

Jan. 10, 2022

EARLY CAREER SCIENTIST GRANT OPPORTUNITIES- Open January 2022

by Laura Long

The Simons Foundation is invested in supporting the next generation of researchers. Our Independence Awards programs promote talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships. We are offering such awards through three of our programs: the Simons Foundation Autism Research Initiative (SFARI), the Simons Collaboration on the Global Brain (SCGB) and the Simons Collaboration on Plasticity and the Aging Brain (SCPAB). These requests for applications (RFAs) are aimed at Ph.D. and M.D. – holding scientists who are currently in training positions and intend to seek tenure-track faculty positions over the next two years (i.e., 2022-2024). Successful applicants will receive a commitment of $495,000 over three years, activated upon assumption of a tenure-track professorship. Visit bit.ly/3yqWILX for more information on all three programs.

Jan. 10, 2022