- Comp-neuro - lists.cnsorg.org

Evolving Neural Networks workshop
by manuel molano June 1, 2021

June 1, 2021

Dear all, We are glad to announce the 1st Evolving Neural Networks Workshop (June 17, 2021). The goal of the workshop is to bring together experts from Systems and Computational Neuroscience, Machine Learning and the Evo-Devo field to discuss if and how knowing the evolutionary history of neural circuits can help us understand the way the brain works, as well as the relative importance of learned VS innate neural mechanisms. We have a great list of speakers from the fields of Systems and Computational Neuroscience, Machine Learning and Evolutionary Developmental (Evo-Devo) biology. If you are interested REGISTER HERE<https://docs.google.com/forms/d/e/1FAIpQLSfO69TaE5Tk4eUysh4eCnJ7tlJYRTCcE_m…>, it is free! For more information visit our webpage<https://sites.google.com/view/evolving-nns/home> or contact evolvingneuralnetworks(a)gmail.com<mailto:evolvingneuralnetworks@gmail.com> We hope to see you soon! SCHEDULE (Eastern Time) 8-8.10 Intro 8.10-8.35 Pamela Lyon What basal cognition can do for you (neuroscientists) 8.35-9.00 Luis Puelles Brain evolution crosses an ontogenetic 'ant's country' that escapes analysis 9.00-9.25 Paul Cisek The evolution of the human brain, long before humans 9.25-9.50 Robert Yang Evolving the Olfactory System with Machine Learning 09.50-10.20 Discussion 10.20-10.40 Break 10.40-10.50 Intro 10.50-11.15 Linda Wilbrecht Considering contextual factors at acute and evolutionary timescales in the study of learning and decision making 11.15-11.40 Ida Momennejad TBA 11.40-12.05 Dayu Lin Neural mechanisms of aggression 12.05-12.30 Tony Zador Learning through the Genomic Bottleneck 12.30-13.00 Discussion

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Job: Engineer in MEG-EEG signal processing and open-source software development
by Franco Pestilli May 31, 2021

May 31, 2021

The Paris Brain Institute is recruiting a motivated individual to join the *MEEGbrainlife* project, introducing MEG and EEG data processing pipelines on the open-access brainlife.io cloud computing platform. This is a 18-24 months contract funded jointly by the French ANR and the American NIH under the international program call « Collaborative Research in Computational Neuroscience » (CR‐CNS). The successful candidate will be responsible for planning, developing, and maintaining *MEG‐EEG data processing Apps into brainlife.io <http://brainlife.io/>* and *contribute to innovative research projects* on the platform. In close collaboration with the expert members of the MEEGbrainlife consortium, he/she will define data specifications, code architecture, data and code output quality check procedures to set the groundwork for the rapid development of a full data processing pipeline for MEG‐EEG data into brainlife.io. *More information and contact* for the application available here: https://owncloud.icm-institute.org/index.php/s/MBrIpIFcH3F9lV5 *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

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pre- and post-doc neuromorphic fellowships at the Sevilla Microelectronics Institute
by bernabe May 31, 2021

May 31, 2021

Dear all, The Neuromorphic group at IMSE (Sevilla Microelectronics Institute, Spain) wellcomes candidates to apply for pre- and post-docs fellowships on neuromorphic engineering. Please visit our web-site at www.imse-cnm.csic.es/neuromorphs to find out about our running projects, activities, and publications. More details on the fellowships (duration/salary/contact) is given at: http://www2.imse-cnm.csic.es/neuromorphs/index.php/News-and-position-openin… cheers, -- Bernabe Linares-Barranco, Director Instituto de Microelectrónica de Sevilla (IMSE-CNM), CSIC, Sevilla, Spain

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Job opening: Research Scientist - Computational Neuroscience and Machine Learning/AI
by Michiel Remme May 30, 2021

May 30, 2021

Dear Colleagues, Our startup INAIT, based in Lausanne, Switzerland, is seeking a permanent and full-time Research Scientist at the intersection of computational neuroscience and machine learning/AI. Are you interested in developing new machine learning/AI methods based on neuroscientific insights, and apply them to business problems? Then come join us! Major duties and responsibilities: * Contribute to the research and development of the next generation of neuroscience-inspired machine learning/AI methods * Contribute to the development of computational models of detailed and/or simplified neuronal networks * Work closely with a team of computational neuroscientists, machine learning engineers and software developers towards business solutions Essential skills and experience required: * PhD in computational neuroscience or related field (or equal experience: Masters and 4+ years of research experience) * Research involving learning and/or dynamics in rate-based and/or spiking neural networks * Experience in machine learning using frameworks such as scikit-learn, PyTorch or TensorFlow * Successful publication record * Experience in Python code development * Experience using UNIX/Linux operating systems * Excellent team player * Fluent spoken and written English Preferred: * Experience with a computational neuroscience simulation framework such as NEST, NEURON or Brian * Experience in scientific computing on shared and/or distributed parallel machines * Experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation * Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Duration of contract: CDI Competitive salary & benefits Cutting edge research, Positive work environment, Hybrid work model (combination of WFH and work from the office) For applications visit apply.workable.com/inait<http://apply.workable.com/inait/> INAIT SA https://www.inait.ai<https://www.inait.ai/> Avenue du Tribunal Fédéral 34 1005 Lausanne Switzerland

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Call for papers for MLCN2021 workshop at MICCAI 2021
by MLCN Workshop May 30, 2021

May 30, 2021

*Please find below the call for papers for the International Workshop of Machine Learning in Clinical Neuroimaging (MLCN) which is held virtually on the 27th of September 2021 at MICCAI 2021 in Strasbourg, France. We welcome contributions to novel machine learning methods and their applications to clinical neuroimaging data.* The submission deadline is *25 June 2021*, and all MLCN accepted papers will be eligible for the best paper award of 500 USD. For more information, please visit https://mlcnws.com/call-for-papers/*.* Best wishes, The MLCN 2021 steering and organizing committees Christos Davatzikos, Andre Marquand, Jonas Richiardi, Emma Robinson Ahmed Abdulkadir, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers ================================================================================================ Call for Papers The International Workshop of Machine Learning in Clinical Neuroimaging ( https://mlcnws.com/) a satellite event of MICCAI (https://miccai202 <https://miccai2021.org/>1 <https://miccai2020.org/>.org <https://miccai2021.org/>), 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 towards 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 https://miccai2021.org/en/PAPER-SUBMISSION-GUIDELINES.html for detailed author guidelines) using the CMT system at https://cmt3.research.microsoft.com/MLCN2021. 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 2021 conference. ------------------------------ MLCN Special Issue at the MELBA journal: This year, 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/about>. The invited papers will go through an independent review process by the journal. ------------------------------ Best Paper Award: 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, 2021, 11:59 PM Pacific Time - Notification of Acceptance: July 16, 2021 - Camera-ready Submission: July 30, 2021 - Workshop Date: September 27, 2021

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Postdoc in Cognitive and Systems Neuroscience
by Theresa Desrochers May 28, 2021

May 28, 2021

Applications for Postdoctoral Research Associate are being sought for a unique opportunity to study sequential control in the laboratory of Dr. Theresa Desrochers in the Department of Neuroscience at Brown University. Successful candidates will have interest in human behavior, fMRI, TMS, computational psychiatry, and OCD. The Desrochers Lab provides a unique cross-level and cross-species training environment situated within a highly collaborative research environment fostered by Brown University and the Carney Institute for Brain Science. Prior experience in human neuroimaging and strong quantitative skills are preferred. All interested candidates regardless of level of experience with these methods are encouraged to apply. Applicants must hold a Ph.D. in Neuroscience, Cognitive Science, Psychology, or a related discipline or must show evidence that the Ph.D. will be completed before the start of the position. Brown University is an EEO/AA employer and encourages applications from minorities and women. Review of applications will begin immediately and will continue until the position is filled or the search is closed. For more information, please contact theresa_desrochers(a)brown.edu. Please apply via Interfolio at https://apply.interfolio.com/87606 <https://apply.interfolio.com/87606>. ~Theresa — Theresa M. Desrochers, Ph.D. Rosenberg Assistant Professor of Brain Science Departments of Neuroscience; Psychiatry and Human Behavior (courtesy) Carney Institute for Brain Science, Brown University http://neuroscience.brown.edu/desrochers

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PhD positions at Vrije Universiteit Amsterdam
by Avitabile, D. May 28, 2021

May 28, 2021

Dear colleagues, The Department of Mathematics at the Vrije Universiteit Amsterdam invites applications for 2 PhD positions, in computational and analytical methods form neuroscience applications. One project concerns uncertainty quantification methods for spatially-extended models in neuroscience. The ideal candidate for this project has a passion for numerical methods (numerical analysis, scientific computing) and is keen to make an impact in a novel application for the neurosciences. Previous knowledge of neuroscience concepts is not a prerequisite, but a firm interest in learning about neuroscience models and applications is essential. The project will be co-supervised by Svetlana Dubinkina (VU), Gabriel Lord (Radboud University), and myself. The second PhD project is about multiple timescale analysis for neural fields, and it aims to develop slow-fast dynamical system methods for spatially-extended systems. The ideal candidate has a passion for dynamical system theory and is interested in applying bifurcation analysis to PDEs and integral equations. Previous knowledge of neuroscience concepts is not a prerequisite. The project will be cosujervised by Jan Bouwe van den Berg (VU) and myself. It will also involve a network of scientific collaborators: Mathieu Desroches (INRIA, Sophia Antipolis, France), Grégory Faye (University Paul Sabatier, Toulouse, France) and Martin Wechselberger (University of Sydney, Australia). More information can be found at the link below https://werkenbij.vu.nl/ad/phd-positions-in-mathematical-neuroscience/ngla4… The deadline for applications is the 13th of June 2021. Informal enquiries can be sent to d.avitabile(a)vu.nl Daniele Avitabile Associate Professor in Applied Mathematics Vrije Universiteit Amsterdam www.danieleavitabile.com

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Bernstein Conference 2021 - call for abstracts
by Anja Dorrn May 27, 2021

May 27, 2021

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. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 21-23, 2021 * Abstract submission open: June 1, 2021 * Deadline for submission of abstracts to be considered for Contributed Talks: July 1, 2021 * Deadline for abstract submission: August 3, 2021 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission will open on June 1. Further information can be found here: https://bit.ly/BC21_abstracts ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, Tübingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.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.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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MOVING FORWARD FROM COVID-19 VIRTUAL STUDENT FORUM
by James Bower May 26, 2021

May 26, 2021

Dr. James M. Bower Ph.D. Executive Director Pacific Division AAAS Affiliate Professor of Biology Southern Oregon University 541-499-7502 Hello everyone. I thought (and hope) that there might be some interest among Computational Neuroscience students in this somewhat unusual, but I hope interesting on-line event I am organizing for AAAS. Any student anywhere in the world can participate. Happy to answer questions, but here is the announcement. Happy to answer questions and please pass the word on to others who might be interested. And look forward to seeing you all at CNS*2021, 30 years - hard to imagine. :-) Jim Bower Applications are now being accepted for our VIRTUAL MOVING FORWARD FROM COVID-19 FORUM. Moving on The virtual forum includes two events: A STUDENT RESEARCH FORUM in which students will present their scientific goals and plans for the future and also interact with scientists as well are representatives of colleges and universities. 2021 Student Research Conference All students are eligible to participate from high school to post-graduate, including citizen scientists. (Application deadline June 22, but best to apply as soon as you can) Additional information on the forum as well as how to apply can be found here: 2021 forum abstract instructions And a TEACHER WORKSHOP on lessons learned from K-12 hybrid and on-line learning over the last year: 2021 educator workshop Participation is open to all K-12 teachers as well as informal educators (best to apply early). IF YOU KNOW A STUDENT OR TEACHER WHO MIGHT LIKE TO ATTEND THIS FORUM, PLEASE FORWARD THIS EMAIL. Registration is also now open for those who would like to attend, even if not presenting: 2021 paid participant form COME JOIN US AS WE MOVE FORWARD FROM COVID-19 This email was sent to bowerj(a)sou.edu by admin(a)aaaspd.org American Association for the Advancement of Science Pacific Division • AAAS Pacific Division / Biology Department, 1250 Siskiyou Blvd, Ashland, Oregon 97520, United States • 541-552-8457 Remove My Email or Manage Preferences • Privacy Policy

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[CFP] Call for abstracts: Computational Cognition workshop (COMCO 2021)
by Juliane Schwab May 26, 2021

May 26, 2021

We are pleased to announce the 2nd "Computational Cognition" workshop, hosted by the DFG-funded Research Training Group by the same name at the Institute of Cognitive, Osnabrück University (Germany). The workshop will be held remotely on September 23 – 24, 2021. In this workshop, we pursue to (re-)integrate research from areas concerned with low- and high-level cognition. Much is understood regarding the neural signals underlying basic sensorimotor processes, as well as the cognitive processes involved in reasoning, problem solving, and language. However, understanding how high-level cognition can arise from low-level mechanisms is a long-standing open problem in cognitive science. Artificial intelligence has recently made great progress on many cognitive tasks using (deep) neural networks. At the same time, cognitive scientists have explored similar ideas, such as predictive coding for unified neural theories of learning. Thus, by bringing together ideas from cognitive science and Al we hope to generate new insights into human and machine intelligence alike. ***Confirmed invited speakers*** Jacob Andreas (MIT), Richard Baraniuk (Rice University), Tom Griffiths (Princeton University), Andrea E. Martin (Max Planck Institute for Psycholinguistics), Claire Sergent (Université de Paris), Agnieszka Wykowska (Istituto Italiano di Tecnologia) *****Call for abstracts***** We invite abstracts for papers from all areas of cognitive science. Submissions should have a strong computational focus, and may concern research questions in low- or high-level cognition. Topics include but are not limited to… -Computational neuroscience -Artificial intelligence -Mathematical and computational models of higher-order cognition (e.g., language, decision making, inference) -Mathematical and computational models of low-level cognition (e.g., signal processing, semantic classification) -Natural language processing and computational models of language -Machine learning and Deep Learning -Empirical studies conducted in relation to either of the above Abstracts should be submitted anonymously. The main text should not exceed one A4 page (12pt font, 2.54 cm/1 inch margins), with an optional second page for additional materials such as tables, figures, and references. Abstracts can be considered for a 30-minute talk or poster. Please indicate when submitting whether you would like the abstract to be considered for a talk, poster, or both. To do so, add the labels "talk", "poster", or "talk/poster" to the title in the submission form (e.g., title: "My first submission (talk/poster)"). The deadline for submission is June 30, 2021 (11:59 pm CEST). We expect to notify authors of the decision by early August 2021. You may submit your abstracts here: https://easychair.org/conferences/?conf=comco2021 Further information is available on the conference website: https://comco2021.uni-osnabrueck.de/ For any inquiries please contact: comco(a)uni-osnabrueck.de Kind regards The COMCO 2021 organizing committee Michael Marino, Xenia Ohmer, Gabriela Pipa, and Juliane Schwab -- -- Juliane Schwab, M.Sc. RTG Computational Cognition Research Group Psycho- and Neurolinguistics Osnabrück University Institute of Cognitive Science Wachsbleiche 27 49090 Osnabrück Germany office: 50/104 email: jschwab(a)uos.de phone: +49-541-969-2247

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