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Academia and the World Beyond: Navigating Life after a PhD
by Christopher Madan Sept. 1, 2022

Sept. 1, 2022

Hi everyone, Many PhD students and postdocs are unsure of what their options are, apart from academia. Even within academia, the responsibilities beyond research often haven't been sufficiently discussed. A book I have been working on for a few years has just come out, where I've interviewed 22 individuals about their post-PhD careers, both in academic and non-academic positions. All of them discuss their career journey, day-to-day life in their current position, and advice for current PhD students. You can find out more about the book on my website or directly from the publisher. https://engra.me/books/academiabeyond https://link.springer.com/book/10.1007/978-3-030-82606-2 Best, ~ Chris --- Christopher R Madan, PhD [he/him] | http://www.cmadan.com<http://www.cmadan.com/>, http://engra.me<http://engra.me/> Assistant Professor @ University of Nottingham Author of "An Introduction to MATLAB for Behavioral Researchers" | http://engra.me/books/matlab/ and "Academia and the World Beyond: Navigating Life after a PhD" | http://engra.me/books/academiabeyond This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses
by Erik De Schutter Sept. 1, 2022

Sept. 1, 2022

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.

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Neuromatch Conference, abstract submission deadline Sept 5
by Goodman, Daniel F M Aug. 31, 2022

Aug. 31, 2022

Hi everyone, Neuromatch conference is happening at the end of September. Abstract submission deadline is on Monday, Sept 5th so get your abstract in asap! More details below. All the best, Dan After four successful conferences, Neuromatch is pleased to be holding our fifth. The scope of NMC 2022 includes computational neuroscience and machine learning work that has a biological link. We are excited to have a slate of excellent speakers and panelists lined up including: Keynotes from Larry Abbott, Rosa Chan, Ida Momennejad, and Mac Shine Panel on spiking computation: Priya Panda, Katie Schuman, and Peter Suma Panel on the future of scientific publishing: Tim Behrens, Simine Vazire, and Abeni Wickham Bridging-the-gap with computational psychiatry: Xiaosi Gu and Quentin Huys Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: * This year, all talks will be provided with a DOI for permanent identification of your contribution presented at NMC 2022. * The main talks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos) and dedicated meet-up times for discussion within Reddit. * A new edition of NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience, plus a new “Escape Room” experience. * Last year, we pioneered a new mechanism to connect talks in the conference to corresponding preprints on bioRxiv and medRxiv, and we will provide links to preprints on other platforms such as OSF preprints as well. Registration costs are set at 15 USD to cover technical costs, and if this is a difficulty, the fee can be waived without questions. Important dates: * September 5, 2022: Abstract submission deadline * September 7, 2022: Abstract acceptance and live talk selection news * September 22, 2022: Video submission deadline for flash talks * September 27 - 28, 2022: NMC 2022 Each of the two conference days will have two sessions, each of which is 4 hours long. Here are the hours for each of the sessions, as they would occur across five time zones from around the world: [X] Read more at http://conference.neuromatch.io<http://url7811.neuromatch.io/ls/click?upn=t-2Fc1cBCfoxXosHAxrgKl1QLSIJIza-2…> We look forward to seeing you at NMC 2022! All the best, Neuromatch Conference Organizing Committee

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Professor for Data Science at Univ Göttingen, Germany
by Ecker, Alexander Aug. 30, 2022

Aug. 30, 2022

tl/dr: - Call for applications: Full professor (W2) for Data Science - Where: University of Göttingen, Germany (Faculty of Mathematics and Computer Science) - Deadline: Oct. 10 - Details: https://www.uni-goettingen.de/en/632302.html - Questions? Contact Alexander Ecker, ecker(a)cs.uni-goettingen.de == DETAILS == The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen invites applications for Full Professor (W2) for Data Science (f/m/d) The professorship will be part of the Campus Institute Data Science (CIDAS) and will contribute to its development. CIDAS is a central institution of the University of Göttingen that fosters collaboration with partners of the Göttingen Campus, including the University Medical Center, the Cluster of Excellence “Multiscale Bioimaging,” several Max Planck Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center Göttingen. The future position holder should have expertise in Data Science that complements the existing expertise at the institute. One of the following research areas is preferred: - Reinforcement learning - Virtual reality, augmented reality and digital avatars - Natural language processing - Human computer interaction - Causal models and inference - Time series modeling - Multimodal data integration and model building - Sensor-based information processing on programmable digital electronics - Image analysis and computer vision - Computational and simulation science - Visualization The candidate should have a track record of internationally competitive high-quality research, a high potential for groundbreaking research in internationally visible projects along with profound experience in supervising students. Strong interest in interdisciplinary collaboration with partners at the Göttingen Campus from disciplines such as biology, medicine, neural and behavioral sciences, digital humanities, social sciences, physics, economics, geosciences, forestry and agricultural sciences is expected. The candidate is expected to engage in undergraduate teaching in the faculty's computer science and data science programs. The University of Göttingen emphasizes research-oriented teaching. The conditions for recruitment are specified in Section 25 of the Higher Education Law of Lower Saxony in the currently applicable version. If all prerequisites are met, the candidate will be employed as a tenured civil servant. International scientists are highly encouraged to apply. The University of Göttingen aims to increase the proportion of women in areas where women are underrepresented and therefore strongly encourages qualified women to apply. As a family-friendly employer, the university promotes the compatibility of science/work and family. The university aims to employ more people with disabilities. People with disabilities who have appropriate qualifications and aptitude for the position will be given special consideration. Online applications with curriculum vitae, list of publications, description of third-party funding, teaching and research activities are requested by October 10, 2022 via the application portal https://lotus2.gwdg.de/uni/umin/w2_data_science_2022.nsf/application For further information, please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science, via ecker(a)cs.uni-goettingen.de. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your applicant data. For more details on the legal basis and data use, please visit Information General Data Protection Regulation (GDPR)

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Two fully funded PhD positions, Groningen/NL
by Michael Biehl Aug. 30, 2022

Aug. 30, 2022

Please excuse multiple postings Application *deadline: September 29, 2022* *2 PhD positions* funded by the Groningen Cognitive Systems and Materials Center *(1) Push-Pull Inhibition in Deep Learning* *(2)* *Statistical Physics of Learning* *in Layered Networks* *Two fully funded PhD positions (4 years)* are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD *(PP1)* will address the study of *"push-pull inhibition" in deep* *learning*, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position *(PP2)* will be devoted to the *statistical physics* *based analysis* of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be *fully funded (4 years) *by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?
by Jeffrey Krichmar Aug. 26, 2022

Aug. 26, 2022

Dear Colleagues, Please consider submitting your work to this special issue of Biological Cybernetics. Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? Submission deadline: September 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. • Active vision’s role in visual search, scene understanding, social interactions, etc. • Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. • The roles of recurrent and top-down connections in the visual cortex. • Spike based spatiotemporal processing and its implications for neuromorphic vision. • Motion perception in dynamic environments. • Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) • The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Open PhD position at the Goethe University Frankfurt / Germany
by Claudius Gros Aug. 24, 2022

Aug. 24, 2022

I would like to bring your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualification will be given preferential consideration. ### ### 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 ###

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Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts)
by Vasily Vakorin Aug. 22, 2022

Aug. 22, 2022

Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts). Several fully-funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. One of the large-scale projects is based on an extensive dataset of routine clinical EEG recorded and evaluated in the process of a diagnostic workup at four local public hospitals. The data include EEG scans and corresponding EEG reports (written impressions of the visual analysis of the EEG, which was done by neurologists). One Ph.D. project will use EEG recordings to predict clinically-relevant labels. The other project will apply Natural Language Processing (NLP) tools to develop models for extracting labels from EEG reports. For more information, please contact Dr. Sam Doesburg or Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin(a)sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia Email: vvakorin(a)sfu.ca

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PhD position feelSpace/Cognitive Science University Osnabrück
by Peter König Aug. 19, 2022

Aug. 19, 2022

PhD opportunity feelSpace GmbH/University Osnabrück in the EU Marie-Curie project OptiVis. Work in a great team and make blind people grasp. https://euraxess.ec.europa.eu/jobs/826171 The webpage states "filled", but it is not. https://optivist.eu/project-10 For more information contact Peter König pkoenig(a)uos.de -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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A postdoc position in image processing, machine learning, and neuroscience
by Hideaki Shimazaki Aug. 18, 2022

Aug. 18, 2022

(Posted on behalf of Prof. Shin Ishii, Kyoto University, Japan) *Call for a postdoctoral researcher* A postdoc position is available in image processing, machine learning, and neuroscience. The objective of the new multi-year project is to understand the neural basis of behavior changes in humans/animals. We shall tackle the AI-based image processing technology for capturing body movements and characterizing possible changes in behaviors. We may also develop methods of analyzing neuronal co-activation from large-scale Ca imaging data or capturing brain waves from multichannel ECoG data. We are looking for a young researcher interested in working on one or some of these topics. The contract is yearly-basis and renewable *until March 31, 2027*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in computational neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV with a publication list, a statement of research interests (maximum two pages), and contact information of one or two reference(s) to ishii-sec(a)sys.i.kyoto-u.ac.jp. Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. The salary and title follow the university rule and depend on the record/expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Shin Ishii, Ph.D. Professor with Kyoto University, Kyoto, Japan Director with Advanced Telecommunication Research Institute International (ATR), Kyoto, Japan Email: ishii-sec(a)sys.i.kyoto-u.ac.jp Webpage: https://ishiilab.jp

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FSL course 2022 in Oxford, registration open!
by Rezvan Farahibozorg Aug. 17, 2022

Aug. 17, 2022

Dear all, We are pleased to announce that FSL course 2022 will be held in-person, Sept 19th - 23rd, in Oxford, UK. You can find details and registration info here: https://open.win.ox.ac.uk/pages/fslcourse/website/upcoming.html This intensive course covers the *theory and practice of functional, structural, diffusion and resting state brain imaging analysis*. New and existing users of FSL are welcome on the course, as it aims to cover both basic and more advanced topics. Background concepts and practicalities of the analyses are taught in detailed lectures. These lectures are interleaved with hands-on practical sessions, where attendees learn how to carry out analysis for themselves on real data. The contents covered in the course are primarily aimed at applications in basic neuroscience and clinical research. Please note that the course will be in-person only, with no online or remote attendance option. For COVID safety, including masking, policy please refer to the link above. Looking forward to seeing you then, The FSL Course team ------------------------------------------------------------------------- Rezvan Farahibozorg Senior postdoctoral researcher, FMRIB Analysis Group, WIN, NDCN University of Oxford https://www.ndcn.ox.ac.uk/team/rezvan-farahibozorg -------------------------------------------------------------------------

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Workshop on Attention - Call for Papers
by Grace Lindsay Aug. 17, 2022

Aug. 17, 2022

On behalf of the co-organizers, we would like to invite you to submit your work to our NeurIPS workshop on “All things Attention: Bridging Different Perspectives on Attention”. The details of the workshop and submission instructions are as follows: The Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS) Dec 2, 2022 NeurIPS 2022 is a hybrid Conference https://attention-learning-workshop.github.io/ The All Things Attention workshop aims to foster connections across disparate academic communities that conceptualize "Attention" such as Neuroscience, Psychology, Machine Learning, and Human-Computer Interaction. Workshop topics of interest include (but are not limited to): 1. Relationships between biological and artificial attention 1. What are the connections between different forms of attention in the human brain and present deep neural network architectures? 2. Can the anatomy of human attention models provide useful insights to researchers designing architectures for artificial systems? 3. Given the same task and learning objective, do machines learn attention mechanisms that are different from humans? 1. Attention for reinforcement learning and decision making 1. How have reinforcement learning agents leveraged attention in decision making? 2. Do decision-making agents today have implicit or explicit formalisms of attention? 3. How can AI agents build notions of attention without explicitly baked in notions of attention? 4. Can attention significantly enable AI agents to scale e.g. through gains in sample efficiency, and generalization? 2. Benefits and formulation of attention mechanisms for continual / lifelong learning 1. How can continual learning agents optimize for retention of knowledge for tasks that it already learned? 2. How can the amount of interference between different inputs be controlled via attention? 3. How does the executive control of attention evolve with learning in humans? 4. How can we study the development of attentional systems in infancy and childhood to better understand how attention can be learned? 3. Attention as a tool for interpretation and explanation 1. How have researchers leveraged attention as a visualization tool? 2. What are the common approaches when using attention as a tool for interpretability in AI? 3. What are the major bottlenecks and common pitfalls in leveraging attention as a key tool for explaining the decisions of AI agents? 4. How can we do better? 4. The role of attention in human-computer interaction and human-robot interaction 1. How do we detect aspects of human attention during interactions, from sensing to processing to representations? 2. What systems benefit from human attention modeling, and how do they use these models? 3. How can systems influence a user’s attention, and what systems benefit from this capability? 4. How can a system communicate or simulate its own attention (humanlike or algorithmic) in an interaction, and to what benefit? 5. How do attention models affect different applications, like collaboration or assistance, in different domains, like autonomous vehicles and driver assistance systems, learning from demonstration, joint attention in collaborative tasks, social interaction, etc.? 6. How should researchers thinking about attention in different biological and computational fields organize the collection of human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications for knowledge transfer and cross-pollination of ideas? 5. Attention mechanisms in Deep Neural Network (DNN) architectures 1. How does attention in DNN such as transformers relate to existing formalisms of attention in cogsci/psychology? 2. Do we have a concrete understanding of how and if self-attention in transformers contributes to its vast success in recent models such as GPT2, GPT3, DALLE.? 3. Can our understanding of attention from other fields inform the progress we have achieved in recent breakthroughs? SUBMISSION INSTRUCTIONS We invite you to submit papers (up to 9 pages for long papers and up to 5 pages for short papers, excluding references and appendix) in the NeurIPS 2022 format. <https://neurips.cc/Conferences/2022/PaperInformation/StyleFiles> All submissions will be managed through OpenReview (submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention>). The final submission including main paper, references and appendix should not exceed 12 pages. Supplementary Materials uploads are to only be used optionally for extra videos/code/data/figures and should be uploaded separately in the submission website. The review process is double-blind so the submission should be anonymized. Accepted work will be presented as posters during the workshop, and select contributions will be invited to give spotlight talks during the workshop. Each accepted work entering the poster sessions will have an accompanying pre-recorded 5-minute video. Please note that at least one coauthor of each accepted paper will be expected to have a NeurIPS conference registration and participate in one of the poster sessions. Submissions will be evaluated based on novelty, rigor, and relevance to the theme of the workshop. Both empirical and theoretical contributions are welcome. Submissions should not have previously appeared in a journal or conference (including accepted papers to NeurIPS 2022) and should not be submitted to another NeurIPS workshop. Submissions must adhere to the NeurIPS Code of Conduct. The focus of the work should relate to the list of the topics specified below. The review process will be double-blind and accepted submissions will be presented as virtual talks or posters. There will be no proceedings for this workshop, however, authors can opt to have their abstracts/papers posted on the workshop website. We encourage submissions on the following topics from the focus of bridging different perspectives on attention: - Relationships between biological and artificial attention - Attention for reinforcement learning and decision making - Benefits and formulation of attention mechanisms for continual / lifelong learning - Attention as a tool for interpretation and explanation - The role of attention in human-computer interaction and human-robot interaction - Attention mechanisms in Deep Neural Network (DNN) architectures Please submit your papers via the following link: submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention> IMPORTANT DATES * Submission deadline: Sep 15, 2022 at 11:59PM (AOE) submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention> * Accept/Reject Notification: Oct 12, 2022 * Camera-ready (final) paper deadline: Nov 25, 2022 at 11:59PM (Anywhere on earth) * Workshop: Dec 2, 2022 CONFIRMED SPEAKERS & PANELISTS Speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Erin Grant (UC Berkeley) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Vidhya Navalpakkam (Google Research) Shalini De Mello (NVIDIA) Panelists: David Ha (Google Brain) Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Shalini De Mello (NVIDIA) Ramakrishna Vedantam (Meta AI Research) Megan deBettencourt (University of Chicago) Cyril Zhang (Microsoft Research) ORGANIZERS Akanksha Saran (Microsoft Research, NYC) Khimya Khetarpal (McGill University, Mila Montreal) Reuben Aronson (Carnegie Mellon University) Abhijat Biswas (Carnegie Mellon University) Ruohan Zhang (Stanford University) Grace Lindsay (University College London, New York University) Scott Neikum (University of Texas at Austin, University of Massachusetts) REGISTRATION Participants should refer to the NeurIPS 2022 website ( https://neurips.cc/Conferences/2022/Dates) for information on how to register. CONTACT Please reach out to us at attention-workshop(a)googlegroups.com if you have any questions. We look forward to receiving your submissions! Kind Regards, Workshop Organizers All things Attention- Bridging different perspectives on attention

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Postdoctoral fellowships at the Gatsby Unit
by I-Chun Aug. 16, 2022

Aug. 16, 2022

The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience. Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes: - How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani). - Deep learning theory (mentor: Andrew Saxe). Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL i.lin(a)ucl.ac.uk | www.ucl.ac.uk/gatsby | @GatsbyUCL

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2 fully funded PhD positions in Groningen
by Michael Biehl Aug. 16, 2022

Aug. 16, 2022

Please excuse multiple postings Two fully funded PhD positions (4 years) are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD (PP1) will address the study of "push-pull inhibition" in Deep Learning, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position (PP2) will be devoted to the statistical physics based analysis of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be fully funded (4 years) by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Two postdoc positions
by Benjamin Dunn Aug. 16, 2022

Aug. 16, 2022

We have two open postdoctoral positions in projects to develop methods for large population neural data. We are looking for good people with backgrounds in statistics, statistical physics, machine learning, topological data analysis, etc., with experience developing and applying methods within neuroscience – ideally with a desire to figure out how the brain works. Many benefits: vacation, parental leave, socialized medicine (it’s Norway), good salary, supportive environment, trees, great science/math, fjords, etc. It’s nice here. Apply and get info more here: https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellow… And additional questions to benjamin.dunn(a)ntnu.no Benjamin Dunn Associate professor in neural data science Department of Mathematics & Kavli Institute for Systems Neuroscience, NTNU

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Postdoctoral position: Theory of deep learning
by Saxe, Andrew Aug. 16, 2022

Aug. 16, 2022

The Saxe lab<http://saxelab.org> is looking for an outstanding postdoctoral researcher to join the group's research programme at UCL. The role lies at the interface of deep learning theory and theoretical neuroscience and will involve conducting research into artificial deep networks using techniques from applied mathematics. A particular focus is on understanding how depth affects learned representations and network behaviour. Funded by the Gatsby Charitable Foundation the Gatsby Computational Neuroscience Unit (GCNU) founded in 1998 is a world-leading centre for research in computational theoretical neuroscience and in probabilistic and statistical machine learning. The Unit's co-location with the Sainsbury Wellcome Centre at UCL creates the potential for a uniquely close interaction between theory and experiment in neuroscience and the integrated study of perception, control and learning. The appointment will initially be for a period of 2 years with the possibility of extension at the end of the period. To apply see the further details at the link below. Screening starts from Aug 25, 2022. https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTg4NjEyMCZ2dF90ZW1w… Sincerely, Andrew Saxe

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INCF Assembly 2022: Late-breaking abstract submission now open!
by INCF Aug. 12, 2022

Aug. 12, 2022

We are inviting submissions of late-breaking abstracts for INCF Neuroinformatics Assembly 2022 <https://neuroinformatics.incf.org/> - *submit your abstracts by Friday August 19!* Curious about which abstracts have already been approved? View the list here <https://neuroinformatics.incf.org/2022/abstracts-list>: bit.ly/INCFAppAbs22 The INCF Neuroinformatics Assembly is an interactive event that 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”. Find more information about this course and other training sessions here <https://neuroinformatics.incf.org/2022/educational-courses>: bit.ly/Assembly2022courses *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:* - *Late-breaking abstract submission closes: Aug 19* - Assembly: September 12-16 *Submit your abstracts here: bit.ly/INCFabstracts22 <http://bit.ly/INCFabstracts22>* /The INCF Team

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Two postdoc positions in theoretical neuroscience and nonlinear time-series analysis
by Hideaki Shimazaki Aug. 12, 2022

Aug. 12, 2022

*Call for postdoctoral researcher**s* Two postdoc positions are available in (A) theoretical neuroscience and (B) nonlinear time-series analysis/control (or active inference) under the supervision of Prof. Hideaki Shimazaki. *(A) Theoretical Neuroscience* We've been constructing statistical analysis methods for neural data to test theoretical hypotheses on the information coding, underlying circuitry mechanisms, and principles of adaptation in the brain (e.g., Bayesian brain hypothesis, predictive coding, free energy principles). We use methods in statistical physics and machine learning. See references below for our theoretical approaches to analyzing the dynamics of a neural population. We are looking for a postdoc interested in conducting theoretical studies while working closely with neuronal spiking and/or omics data. The contract is yearly-basis and renewable *until March 31, 2026*. Workplace: Kyoto University, Kyoto, Japan *(B) Nonlinear time-series analysis and active inference* Our group strives to understand theoretical principles of organisms' perception and behavior in adapting to the environment and extend the knowledge to create intelligent agents. A postdoc position is available for this research area. We are looking for a postdoc interested in, e.g., Bayesian time-series analysis and control on nonlinear dynamics, the free energy principle, and active inference. The contract is yearly-basis and renewable *until March 31, 2025*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in theoretical neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV, a statement of research interest (maximum two pages), and contact information of two references to hideaki.shimazaki(a)gmail.com. Please indicate which job you are interested in (A or B, or both). Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. Screening starts *from September 16th*. The salary follows the university rule and depends on the expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Hideaki Shimazaki, PhD Email: hideaki.shimazaki(a)gmail.com Webpage: http://www.neuralengine.org Ref: Aguilera, M., Moosavi, S. A., & Shimazaki, H. (2021). A unifying framework for mean-field theories of asymmetric kinetic Ising systems. Nature communications, 12, 1197 <https://www.nature.com/articles/s41467-021-20890-5>. Donner C, Obermeyer K, Shimazaki H. Approximate inference for time-varying interactions and macroscopic dynamics of neural populations. PLoS Computational Biology (2017) 13(1): e1005309 <http://dx.doi.org/10.1371/journal.pcbi.1005309> Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLOS Computational Biology (2012) 8(3): e1002385 <http://dx.doi.org/10.1371/journal.pcbi.1002385>

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International Society for Contemplative Research (ISCR) Inaugural Meeting - Februrary 2-5, 2023
by Vago, David R (University) Aug. 11, 2022

Aug. 11, 2022

Hello colleagues and friends, Event: 2023 inaugural ISCR Annual Meeting Theme: The Self, Wellbeing, Compassion, and Justice Date: 2-5. February 2023 Location: San Diego, CA USA Host: UCSD Focus of society: To support the independent and collaborative work of scholars, scientists, clinicians, and practitioners who are engaged in the rigorous investigation of traditional and modern forms of contemplative and other mind-body practices. *************************** The International Society for Contemplative Research<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> invites individuals that support the Society’s aims<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to submit Abstracts for the 2023 ISCR Annual Meeting at the University of California, San Diego, February 2-5. Individuals can submit through our Abstract submission system<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to present in the following formats: Session (Format) Types (Not Including Lunch/Keynote/Invited Speakers): * Workshop ½ Day (3 hours) * Discussion/Roundtable Session (60 or 90 Minutes) * Symposium/Panel (60 or 90 Minutes) * Oral/Paper Presentation (20 Minutes) (If your Abstract is not selected for an Oral Presentation, you can have it considered for a "Poster" * “Poster” Presentation (or Flash Presentations/Abstract Presentation) (A “Poster” can also be considered for a 2-3 Minute Mini-Oral Presentation) +++ The Call for Abstracts is now open (deadline extended: September 30, 2022) +++ ISCR is committed to the principles of Diversity, Equity & Inclusion (see our statement) <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> and other diversity of thought such as Epistemological Diversity. Preference will be given to Abstracts that address diversity in all its forms. We encourage individuals to Join the Society<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to enjoy a number of benefits, including reduced registration. Conference registration will open in August 2022, six months before the event dates. Confirmed keynote speakers are: Anil Seth, University of Sussex (UK) Alan Wallace, Center for Contemplative Research and Santa Barbara Institute for Consciousness Studies (USA) Kakali Bhattacharya, University of Florida (USA) Michael Yellow Bird, University of Manitoba (Canada) ============================== David R. Vago, Ph.D. Research Associate Professor | Department of Psychology | Vanderbilt Brain Institute | Vanderbilt University Contemplative Neuroscience & Mind-Body Research Laboratory<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.conte…> | David.vago(a)vanderbilt.edu<mailto:David.vago@vanderbilt.edu> ------- Research Associate, Department of Psychiatry | Brigham & Women’s Hospital | Teaching Affliate of Harvard Medical School Functional Neuroimaging Laboratory<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fneuroimagi…> | dvago(a)bwh.harvard.edu<mailto:dvago@bwh.harvard.edu> ------- Research Lead | RoundGlass Living+ Mobile: +1 236-516-6530 [cid316398*image003.png(a)01D81EC5.75001580] ------- Director of Neurosciences, Executive Committee, International Society for Contemplative Research [ISCR]<https://www.contemplativeresearch.org/>

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Information on the upcoming 7th HBP Student Conference on Interdisciplinary Brain Research
by HBP Education Aug. 5, 2022

Aug. 5, 2022

Dear Sir or Madam, We kindly ask you to include our upcoming 7th HBP Student Conference on Interdisciplinary Brain Research in your scientific event calendar or share via your communication channels. Please find further information about the event below and in the attached pdf file. Thank you very much for your support! With kind regards, HBP Education Team ____________________________________________ We are happy to invite you to the 7th HBP Student Conference on Interdisciplinary Brain Research. Please also share this information in your networks! The 7th HBP Student Conference will take place from 18-20 January 2023 in Madrid, Spain. Participation is open to the entire student community and early-career researchers, regardless of whether they are affiliated with the Human Brain Project (HBP) or not. The 7th HBP Student Conference provides an open forum for the exchange of new ideas among early career researchers working across various scientific fields relevant to the Human Brain Project (HBP), such as neuroscience, computer science, robotics, medicine, psychology, cognitive science, and philosophy. Attendees will be exposed to the data-driven and multidisciplinary brain research approach of the HBP and will have the opportunity to use the EBRAINS research infrastructure. The conference will provide space for extensive scientific dialogue (both intra- and interdisciplinary) amongst peers and faculty through a variety of discussion sessions, lectures, workshops & hands-on training sessions and social events. Call for Submissions The Conference invites high-quality submissions describing innovative research in all disciplines addressed in the HBP. These contributions can emphasize theoretical or empirical works relating to a wide spectrum of fields including, but not limited to neuroscience, computer science, robotics, medicine, psychology, cognitive science and philosophy. We particularly encourage submissions with a potential to inspire collaboration in the research community by introducing new and relevant problems, concepts, and ideas, even if the work is at an early stage of development. For further information on abstract submission please visit the conference website. The abstract submission deadline is 3 October 2022. Participants are also welcomed without contributing to the scientific programme. Early Bird Registration Deadline: 1 December 2022 Regular Registration Deadline: 4 January 2023 Please register via the conference website. For any further questions, please contact the HBP Education Programme via education(a)humanbrainproject.eu. We are looking forward to an interesting and productive conference! With kind regards, HBP Education Team

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Assistant Professor Position at the University of Calgary
by Wilten Nicola Aug. 4, 2022

Aug. 4, 2022

Dear Comp Neuro community, The University of Calgary is currently looking for an assistant professor in biostatistics. This includes computational neuroscientists with a strong statistical background. The full job ad can be found at https://www.mathjobs.org/jobs/list/20288 and I encourage all potential applicants to reach out to the department head, Dr. Antony Ware ( aware(a)ucalgary.ca) for questions. Assistant Professor – Biostatistics Faculty of Science, Department of Mathematics & Statistics The Department of Mathematics and Statistics at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor in Biostatistics with an anticipated start date of 1st January, 2023. The successful candidate will have a PhD in biostatistics/statistics or a closely related field. They will have a research program in biostatistical analysis, methodology development, and computation, with a focus on the statistical analysis of and computation with complex data from human, animal, or health/biomedical research and clinical work. They will have an outstanding record of research in the form of publications in high-impact, peer-reviewed journals, awards, invited talks and other scholarly achievements, as appropriate for their career path and stage. A demonstrated record of or potential for attracting and sustaining peer-reviewed external funding is also required, as is a commitment to high-quality teaching and supervision at the undergraduate and graduate level. The successful candidate will join a multidisciplinary and inter-Faculty team of statisticians, biologists, medical researchers and investigators studying models and clinical realities of human and animal disease. Peer-reviewed external funding is expected to be sustained throughout the appointment, and industrial partnerships are strongly encouraged where appropriate. The position includes both teaching and research responsibilities, and will include expectations to recruit and supervise graduate students. Candidates must have excellent communication and interpersonal skills. The candidate is expected to contribute to the interdisciplinary Biostatistics and Data Science programs at the University and to complement Department expertise at both undergraduate and graduate levels. This is an excellent opportunity to develop a vigorous and independent research program within a dynamic and collaborative environment in the Department. The Department has established expertise in statistical research and is developing links with the biomedical research and data science groups in the Faculty of Science, the Cumming School of Medicine and the Faculty of Veterinary Medicine at the University, surrounding research communities and industry. The Department offers a vibrant research environment and the statistical faculty members in the Department excel in both research theory and methods as well as interdisciplinary collaborative work. The Department’s current research areas are broad and support three graduate programs in statistics, biostatistics and actuarial science. The Department is co-hosting programs in Data Science and Analytics with the Department of Computer Science. Current research areas of the biostatistics group include causal inference, Bayesian methods, big data analytics, empirical likelihood, extreme-value analysis, infectious disease modeling, lifetime data analysis, methods for high-dimensional data, non-parametric methods, pseudo and composite likelihood methods, semiparametric and nonparametric models, statistical learning and data mining. The Department is home to the Research Group in Biostatistics (RGB), which is a diverse and active group that includes researchers and students with methodological and applied interests in the medical, health, biological, and social sciences. The University of Calgary offers graduate Biostatistics research training opportunities run jointly by the Departments of Mathematics and Statistics (Faculty of Science) and Community Health Sciences (Cumming School of Medicine). This graduate training is offered at both the PhD and MSc Thesis levels, available as an interdisciplinary specialization in Biostatistics. The University of Calgary, jointly with the University of British Columbia – Okanagan, operates the Canadian Statistical Sciences Institute (CANSSI) Rocky Mountain Data Science Network that offers excellent Biostatistics graduate students the chance of paid four- or eight-month internships, working in governmental, industrial and academic environments. We are currently establishing the CANSSI Rockies Regional Centre that will provide further training and collaborative opportunities with colleagues from 11 other universities in AB, B.C. and Yukon. How to apply Interested individuals are encouraged to submit an application online via the MathJobs.org website. Applications must include the following: • a cover letter containing a description of why this position is of interest to the candidate, and a clear statement of their Canadian Citizenship/Residency status • a description of past, current and future research • a statement describing the candidate’s contributions, or potential contributions to, Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) • a concise statement of teaching philosophy and focus (1 page) • a curriculum vitae • names and contact information for three references. Three letters of reference, at least one of which addresses teaching, will be required for shortlisted candidates. These letters may be uploaded onto the MathJobs.org site or, if requested, sent directly by the references to Dr. Antony Ware, Head, Department of Mathematics and Statistics Email: aware(a)ucalgary.ca University of Calgary, 2500 University Drive Calgary, AB T2N 1N4 Questions may be addressed to the Search Committee by emailing search(a)math.ucalgary.ca. Only applications received by 30th September, 2022 will be guaranteed full consideration. The University of Calgary’s comprehensive benefits and pension program is designed to promote a productive level of health and well-being to staff members through coverage for health, dental, life insurance, income protection for disability, and retirement income planning. To learn about our comprehensive benefits package, please visit http://www.ucalgary.ca/hr/academic_benefits_pension. The University of Calgary has launched an institution-wide Indigenous Strategy in line with the foundational goals of Eyes High, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. In this connection, in the cover letter included in your application, please state clearly whether or not you are either a Canadian citizen or a permanent resident of Canada. Additional Information The University of Calgary is pursuing a Growth Through Focus strategic vision involving future-focussed program delivery, transdisciplinary scholarship, and deeper community integration. To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website. For more information about the Faculty of Science visit Careers in the Faculty of Science. About the Faculty of Science The Faculty of Science has been catalyzing change and inspiring discovery, creativity, and innovation for over 50 years. Our strategic direction integrates current and emerging strengths with areas targeted for future growth and investment. Our strategic priorities, goals, and values guide our mission to advance research, scholarship, and innovation, create authentic learning experiences, and inspire careers of the future. We fuel transformational change, and build a strong community through teaching, learning, research, scholarship, and collaborative partnerships. We do this work to generate curiosity-driven discovery and contribute solutions to society's grand challenges. For more information, visit science.ucalgary.ca. We thrive in the dynamic context of the University of Calgary, one of Canada’s most youthful and innovative universities. We are a bold and ambitious research university, grounded in innovative learning and teaching, fully engaged in Calgary’s entrepreneurial spirit. *About the University of Calgary *The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university’s Growth Through Focus strategy is putting it on course to be an entrepreneurial university, where students, faculty and staff face fewer barriers to innovation and more tools to change the world around them. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit ucalgary.ca. *About Calgary *Alberta Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America

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Upcoming events by the HBP Education Programme
by HBP Education Aug. 4, 2022

Aug. 4, 2022

Hello, I hope this e-mail finds you well. We are the Human Brain Project Education Programme and specialise in organising workshops and events in which participants are introduced to the research infrastructure EBRAINS. I would like to raise awareness for two upcoming events. Please consider adding them to your list of upcoming events. ---------------------------------------------------- Young Researchers Event meets HIBALL: new digital tools to study the brain Date: 25 October 2022 Website: https://www.humanbrainproject.eu/en/education-training-career/YRE2022-Croat… Description: The human brain is a multi-level and highly complex system that produces, processes and transmits information in an incomparable manner. The Human Brain Project (HBP) unites researchers and scientists to decode the mechanisms underlying this unique system by investigating the human brain and its diseases with the help of highly advanced ICT tools. As such, the HBP is developing EBRAINS, the new European digital research infrastructure, as a lasting contribution to the global science community, an open source tool that allows scientists and technology experts to seamlessly collaborate, thereby accelerating advancements in the fields of neuroscience, computing and brain-related medicine. The Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) is an HBP Partnering Project that aims to transform the well-known BigBrain model to its next level by reinforcing utilization and co-development of the latest AI and high-performance computing (HPC) technologies for building highly detailed 3D brain models. HBP and EBRAINS together with the University of Zagreb, School of Medicine and HIBALL invite the entire scientific community, in particular early career researchers, to join the forthcoming Young Researchers Event (YRE), taking place on 25th October in Zadar, Croatia and online. During this one-day free hybrid event, participants can learn more about topics like big data analytics, human brain atlasing and computational neuroscience in interactive plenaries and hands-on workshops. The programme also offers networking opportunities for participants to exchange with peers as well as renowned experts. This event will take place in conjunction with the 6th BigBrain Workshop - From microstructure to functional connectomics. Address: Falkensteiner Resort Punta Skala, 2321 Petrčane, Croatia Registration deadline: 4 October 2022 ———————————————— EBRAINS Workshop: Anatomy and function of the prefrontal cortex across species Date: 14-16 March 2023 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ Description: Understanding the human brain relies for a large part on work in animal models, which necessitates a careful cross-species comparison. The prefrontal cortex (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational scientists whose work allows a comparison of the anatomy and function of the PFC between species (in particular between humans, monkeys and mice). EBRAINS is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The interactive format of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Address: ICM Institute for Brain and Spinal Cord, 47, bd de l'hôpital, Paris, France Registration deadline: 21 November 2022 (Early-Bird Registration), 28 February 2022 (Late Registration) ———————————————————————— Please don’t hesitate to contact us should you need further information. Thank you in advance The HBP Education Team

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DeepMath 2022 Submission Deadline
by Ahmed El Hady Aug. 1, 2022

Aug. 1, 2022

** *Dear all,* * We are pleased to announce our confirmed lineup of invited speakers for DeepMath 2022: * Francis Bach (INRIA) * Anima Anandkumar (CalTech) * Sara Solla (Northwestern) * Berk Ustun (UCSD) * Yisong Yue (Caltech) * Courtney Paquette (McGill) We are now accepting abstract submissions to the 2022 Conference on mathematical theory of deep neural networks (DeepMath; see https://deepmath-conference.com <https://deepmath-conference.com>for more information). DeepMath is a highly interdisciplinary conference focused on understanding fundamental theory driving the success of Deep Learning. A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We therefore encourage submissions from researchers from diverse disciplines including, but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as * Expressivity * Generalization * Optimization * Representations * Computation * Network architectures * Recurrent networks. To complement the many conferences with applications andtheory the focus for DeepMath 2022 will be exclusively on thetheoretical and mechanistic understandingof the underlying properties of neural networks. Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. Submissions should be no more than 1 pagealthough a second page may be used for references. Authors should submit a pdf file prepared using the Latex style file available here <https://drive.google.com/file/d/1dkDhgVN5SHphwQKNLnQiDzkgbp0NFyNT/view?usp=…>and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract. Investigators interested in having their abstracts considered for presentation should submit their abstracts no later than August 14, 2022 AOE. Authors may submit their abstracts at: https://cmt3.research.microsoft.com/DEEPMATH2022/ == Location == DeepMath 2022 will be held in San Diego, CA, USA. We anticipate requiring proof of full vaccination as a condition of attendance, and plan on having masking and other requirements equal or more stringent than local and national public health guidelines. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com>) for more details on venue and hotels. As with all prior years, all talks will be freely live-streamed over YouTube and subsequently posted on the DeepMath YouTube channel == Registration == DeepMath 2022 registration will open late summer. As with previous DeepMath conferences, all talks will be live-streamed for free and uploaded for later viewing subject to presenter approval. All the best, Ahmed El Hady On behalf of the DeepMath 2022 Organizational Committee *

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EBRAINS Workshop 14-16 March 2023, Paris FR - Anatomy and function of the prefrontal cortex across species
by Zélie Tournoud Aug. 1, 2022

Aug. 1, 2022

Dear colleagues, Please find below the announcement of the EBRAINS Workshop "Anatomy and function of the prefrontal cortex across species" taking place 14-16 March 2023 in Paris, France. Registration is currently open with an early bird pricing. Kind regards, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org> _____ EBRAINS Workshop Anatomy and function of the prefrontal cortex across species *14 – 16 March 2023 | Paris, France* Program, information and registration: https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/<https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/> *Early Bird Registration Deadline: 21 November 2022 * *Late Registration Deadline: 28 February 2023* About Understanding the human brain relies for a large part on work in animal models, which necessitates a careful *cross-species comparison*. The *prefrontal cortex* (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational**scientists whose work allows a comparison of the *anatomy* and *function* of the PFC between species (in particular between humans, monkeys and mice). EBRAINS <http://ebrains.eu/> is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The *interactive format* of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Confirmed speakers *Day 1* *Anatomy:* *Javier DeFelipe* | Cajal Institute, Madrid, Spain *Huib Mansvelder* | Vrije Universiteit Amsterdam, Amsterdam, The Netherlands *Chet Sherwood* | GW Mind-Brain Institute, Washington, USA *Suzana Herculano-Houzel *| Vanderbilt University, Nashville, USA *Henry Kennedy* | Stem Cell and Brain Research Institute, Lyon, France *Marie Carlén* | Karolinska Institute, Stockholm, Sweden *Physiology:* *Wim Vanduffel* | KU Leuven, Leuven, Belgium *Mark Laubach* | American University, Washington, USA *Stefan Everling* | Western University, London, Canada *Hendrikje Nienborg* | National Eye Institute, Bethesda, USA *Martha Havenith* | Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany *Yang Dan* | University of California, Berkeley, USA *Day 2* *Behavior & physiology:* *Pieter Roelfsema* | Netherlands Institute for Neuroscience, Amsterdam, The Netherlands *Andreas Nieder* | University of Tübingen, Tübingen, Germany *Sandra Reinert* | Max Planck Institute for Biological Intelligence, Martinsried, Germany *Ann Duan* | Sainsbury Wellcome Centre, London, UK *Stanislas Dehaene* | NeuroSpin, Gif-sur-Yvette, France *Jessica Cantlon* | Carnegie Mellon University, Pittsburgh, USA *Computational modelling:* *Idan Segev* | Edmond & Lily Safra Center for Brain Sciences, Jerusalem, Israel *Rodrigo Cofre* | NeuroPSI, Gif-sur-Yvette, France *Rubén Moreno Bote* | University Pompeu Fabra, Barcelona, Spain *Jorge Mejias* | Universiteit van Amsterdam, Amsterdam, The Netherlands *Adrienne Fairhall* | University of Washington, Seattle, USA *Xiao-Jing Wang *| New York University, New York, USA Scientific Chairs & Local hosts *Timo van Kerkoerle**|***CEA Saclay, France *Alain Destexhe* *|*** CNRS, France *Ruth Benavides-Piccione* *|***Spanish National Research Council & Universidad Politécnica de Madrid, Spain

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2 fully funded PhD positions at the Univ. of Groningen
by Michael Biehl July 29, 2022

July 29, 2022

Two fully funded (4 years) PhD positions in Neural Networks / Machine Learning / Deep Learning are available at the University of Groningen / NL within the project: "*Robust Learning of **Sparse Representations: * *Brain-inspired Inhibition and **Statistical Physics* *Analysis*". Main supervisors and sub-projects: George Azzopardi (https://www.cs.rug.nl/~george/) "*Push-pull inhibition in deep, convolutional * *(spiking) neural networks*" Michael Biehl (https://www.cs.rug.nl/~biehl/) "*Statistical physics analysis of learning processes * *in model situations*" For details and your expression of interest please visit https://t.co/VLjgKzPxJp *Apologies for multiple postings.* *Please circulate and distribute further.* -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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