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Postdoctoral Positions in Neuromorphic Computing in the Nicola Lab at University of Calgary
by Wilten Nicola 27 Jul '21

27 Jul '21

We are recruiting talented postdoctoral researchers to develop functional spiking neural networks and deploy them onto neuromorphic chips/FGPAs. There are several opportunities for developing brain-inspired networks and for commercialization. The ideal candidates will have a quantitative background (e.g. PhD in mathematics, physics, computer science, electrical engineering, computational neuroscience) along with experience in FPGAs or neuromorphic computing. Prior experience with neuromorphic computing is a strict requirement. These postdoctoral positions will be housed in the lab of Dr. Wilten Nicola at the University of Calgary. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Wilten Nicola (wilten.nicola(a)ucalgary.ca) and Dr. Aaron Gruber ( aaron.gruber(a)uleth.ca) Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin September 1st, 2021, and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola or Dr. Gruber.

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Two 6-Year postdoc positions at SCAN-Unit, University of Vienna (PI Claus Lamm; social neuroscience)
by Lei Zhang 26 Jul '21

26 Jul '21

Dear colleagues, At the SCAN-Unit of University of Vienna (PI: Claus Lamm), we will soon have two 6-year(!) post-doc positions available. Unlike many other postdoc positions tied to a grant, these positions do not come with a fixed research program attached to them. Rather, our aim is to allow the candidates a sizeable amount of autonomy and flexibility in pursuing their own research questions and to develop their own research line, connected to the research interests and expertise of the SCAN Unit, which focuses on questions such as empathy, prosociality, trust, social decision making, and related phenomena, in both humans and non-human animals (see https://scan.psy.univie.ac.at) The idea is to hire and mentor someone who has the potential to transit to a fully independent (tenure-track/junior group leader) position within the 6-year hiring period (the positions themselves do not have a tenure/tenure-track option). We thus encourage the candidates to secure their own grants (e.g., from the Austrian Science Fund and the ERC) and to establish their own first research group, under the wings of the SCAN-Unit and the mentoring of group leader Claus Lamm. To apply, please contact Claus Lamm (claus.lamm(a)univie.ac.at) with a brief (format-free) statement of motivation (e.g., why you apply for this position, why you feel you’d be a suitable candidate, and what is your career development goal: max. 1 page), the research questions you would be interested in pursuing (i.e., a short research statement, describing what you would want to work on, and how you would want to do so, max. 1 page), and a C.V., including a list of publications, that summarizes a) your research achievements, b) the skills and expertise that you have acquired in your previous and ongoing training, and c) your past teaching activities (if any). Applications will be considered on an ongoing basis until suitable candidates are identified. Informal inquiries before submitting a fully-fledged application are also highly encouraged. The positions will be available from around September/October 2021 onwards, but a later starting date until roughly mid 2022 is certainly possible (and further extensions can be discussed). Please see the link below for the full job description. https://scan-psy.univie.ac.at/fileadmin/user_upload/p_bio_psy/Postdocs_SCAN… See also a tweet thread about this search: https://twitter.com/ScanUnit/status/1418205124850163715?s=20 Informal inquiries can be directed to Claus Lamm (claus.lamm(a)univie.ac.at) Best, Lei ---------- Dr. Lei Zhang Postdoc Social, Cognitive & Affective Neuroscience Unit Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang(a)univie.ac.at w: lei-zhang.net t: @lei_zhang_lz

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Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors)
by Yuvaraj Rajamanickam 26 Jul '21

26 Jul '21

Dear Researchers, Good day to you. Currently, we are accepting the high-quality book chapters for our upcoming edited book in *Springer,* titled, *Biomedical signal-based computer-aided diagnosis for neurological disorders*. Please see below for more information. We invite you and your network connections to consider submitting a high-quality paper related to the aim and scope of this book for possible publication. If possible, you could share this CFP in your network for their possible contribution. Please feel free to contact us, if you have any questions. Submission link: https://easychair.org/conferences/?conf=bscadnd2021 Any queries, please feel free to write to us at bookchapter.bscad(a)gmail.com and CC to m.murugappan(a)kcst.edu.kw ; yuvaraj.rajamanickam(a)nie.edu.sg. Major topics to be included in the book are: •Introduction to neurological disorders (ND) and biomedical signal processing. •Basic principles of CAD in ND diagnosis. •Characterization of biomedical signals in ND. •Feature engineering and optimization. •Machine learning techniques in CAD for ND •Deep learning algorithms in CAD for ND •Neural network applications in CAD for ND •Fuzzy logic and optimization techniques •Supervised and unsupervised learning •Case studies related to ND diagnosis. •Challenges in the CAD for ND •Advances and trends in CAD for ND diagnosis. •Open Challenges in CAD in ND diagnosis Important dates •Abstract Submission (max 250 words): 30th July 2021 •Acceptance of abstract: 5th August 2021 •Full chapter submission:15th September 2021 •Authors notification: 15th October 2021 •Camera ready submission: 10th November 2021 •Permission and copyright:20th November 2021 •Publication date: 1st quarter of 2022 Submission guidelines •MS Word, single column, Times New Roman, 11 font size, 1.15 spacing. •References must follow springer style. •Length of the chapter: 20-25 pages (11550 words (approx.)) including references, tables, figures. •Similarity index should be less than 10 % (without reference). •All figures must be supplied as final artwork (e.g., JPEG, PNG, TIFF, etc.) at high-resolution. NO PUBLICATION/ ARTICLE PROCESSING FEE. •All manuscripts are accepted based on a double-blind peer review editorial process. Indexed by Web of Science (WoS), SCOPUS, Google Scholar, SCImago Regards YUVARAJ

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What is self-organisation? Entropy special issue
by Claudius Gros 23 Jul '21

23 Jul '21

Dear Colleagues Together with Damian Zanette and Carlos Gershenson we are running a Special Issue "What is Self-Organization?" with Entropy. The aim is to have a collection of viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. Your contribution would be welcome! Claudius ------ info ------ https://www.mdpi.com/journal/entropy/special_issues/self_organzation Deadline: 15 October 2021 Many of us have used the notion of `self-organization' in our studies. What is it precisely, though? A constituent element could be, e.g., the emergence of non-trivial properties from comparatively simple rules. What would simple, non-trivial or complex emergence mean in this context? In this Special Issue, we invite viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. -- ### ### 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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Save the date! Online workshop "Towards multipurpose neural network models II: Model testing and model fitting"
by Anton Arkhipov 23 Jul '21

23 Jul '21

Dear all, Please save the date! Announcing the online workshop "Towards multipurpose neural network models II: Model testing and model fitting" Dates: September 29 – October 1, 2021 See details at this web page<https://www.eitn.org/index.php/calendar-event/eventdetail/750/-/workshop-on…>. Organized by Anton Arkhipov (Allen Institute, Seattle) and Gaute Einevoll (NMBU/University of Oslo) and supported by the European Institute for Theoretical Neuroscience (EITN). We have a great lineup of speakers! Keynotes by James DiCarlo (MIT), Jacob Macke (U. Tübingen), and Kanaka Rajan (Mount Sinai). Confirmed speakers: Sharon Crook (Arizona State U.) Julijana Gjorgjeva (Max Planck Institute and TUM) Peder Jedlicka (U. Giessen) Szabolcs Kali (Institute of Experimental Medicine, Budapest, Hungary) Arvind Kumar (KTH Stockholm) Stefan Mihalas (Allen Institute) Aaron Milstein (Rutgers U.) Atle Rimehaug (U. Oslo) Frances Skinner (Krembil Brain Institute, University Health Network, and U. Toronto) Carsen Stringer (Janelia) Kristin Tøndel (NMBU) And a Special Lecture by Marcus Covert (Stanford)! Registration opens on September 1, 2021. We hope to see you there. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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[Journals] Final CFP: Special Issue on "Theory of Mind in Humans and in Machines"
by Bogdan Ionut Cirstea 22 Jul '21

22 Jul '21

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK), Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK) and Dr. Christelle Langley (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-… Papers may be submitted until the 30th of July 2021 (manuscript submission extended deadline). Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: • Computational Theory of Mind • Learning from Demonstrations • Cognitive Models for Learning from Demonstration and Planning • Neuroscience-inspired models of Theory of Mind • Human-Robot Interaction • Cooperative Inverse Reinforcement Learning (assistance games) • Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, -- Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin(a)brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001(a)cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea(a)brookes.ac.uk> Dr. Christelle Langley, University of Cambridge, UK <cl798(a)medschl.cam.ac.uk >

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Open postdoc position in plasticity in blindness and handlessness (Georgetown University, Washington DC)
by Ella Striem-Amit 22 Jul '21

22 Jul '21

*Postdoctoral researcher position in visual and/or motor brain plasticity* The SAMP Lab (Sensory and motor plasticity, Ella Striem-Amit’s lab) at Georgetown University (Washington DC, USA) is looking for a passionate and dedicated postdoctoral researcher to study brain plasticity in congenital visual and/or motor deprivation. The SAMP lab explores the balance between innate brain organization and experience-dependent plasticity by studying people born blind or born without hands using behavioral and fMRI state of the art analytical techniques. Relevant projects include (but are not limited to) exploring individual differences in brain plasticity and action execution without hands. For more details see https://samp-lab.facultysite.georgetown.edu/people/opportunities. A PhD in a relevant field, excellent understanding of and experience with fMRI data analysis are required. Strong programming skills (Matlab/R/python, etc.) are also a requirement. Experience with behavioral methods used in visual, multisensory or motor control is desirable but is not a requirement. The position is not limited to US citizens. The start date is flexible, but preferably fall/winter 2021-2. This position is available for two years, and can be extended further based on performance. To apply, please send your CV and brief statement of research interests by email to Dr. Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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[meetings] Bionics today, July 27, 2.00 - 4.30 pm CEST
by Calogero Maria Oddo 22 Jul '21

22 Jul '21

Don't miss this unique event! BIONICS TODAY ROBOTS AND BIOLOGICAL SYSTEMS: A CHECKPOINT OF BIONICS EVOLUTION Online event, on Tuesday, July 27, from 2.00 to 4.30 pm CEST. Chairs: Paolo Dario and Giulio Sandini Streaming from The BioRobotics Institute of Scuola Superiore Sant'Anna, Pisa, Italy Looking back at a historical workshop held in Italy in 1989, it seems timely to re-propose the same question and analyze the evolution of bionics. Join us in a conversation with top scientists who pioneered the field. Details and program here: https://www.santannapisa.it/it/event/bionics-today -- Calogero M. Oddo, PhD Associate Professor of Bioengineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Vice-Coordinator of the PhD programme in BioRobotics Head of the Neuro-Robotic Touch Laboratory The BioRobotics Institute and Department of Excellence in Robotics & AI Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics http://www.santannapisa.it/en/neuro-robotic-touch-laboratory email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it>

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Job opening in Computational Neuroscience Institute in Juelich, Germany: Science communication officer with a focus on graphics
by Martina Reske 22 Jul '21

22 Jul '21

The goal of the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), at Research Center Juelich, Germany, is to relate the structure and dynamics of the brain using mathematical models. Bottom-up modeling is accompanied by top-down approaches and theory in order to include functional constraints and to gain insights into dynamic mechanisms. In addition, activity data (dynamics) and structural data (anatomy) are used and integrated into the biophysical models. For this purpose, analysis methods adapted to the questions are developed and, if necessary, data are collected with cooperation partners. In order to be able to perform simulations of the models, a further focus is on the development of simulation technology. Furthermore, the institute hosts the Bernstein Coordination Office (BCOS), which supports the scientists of the Bernstein Network for Computational Neuroscience. We are looking to recruit a Science communication officer with a focus on graphics! Your Job: * Planning and designing of scientific graphics, illustrations, texts and audio-visual or interactive media for the visualization of scientific contents of the institute`s department as well as their integration into the international scientific community * Graphical editing from templates submitted by scientists, e.g. image, text and graphical data, transferring and converting as necessary for different user communities * Graphic realisation and preparation of scientific presentations * Coordination and assistance in the creation of posters and institute flyers * Recording, digital processing and data protection compliant storage of scientific photographs and films * Reviewing, analysing and evaluating very complex, technically difficult and thematically diverse scientific information in order to provide information appropriate to the target group * Consideration of the current data protection regulations when recording, processing, using and securing the scientific images, videos, photographs and other media data of the institute * Development of concepts for the graphical external presentation as well as their implementation for various scientific media * Placement of graphic contents of the Institute on the Institute website and in social media * Designing presentations and graphics in accordance with the corporate design guidelines of Forschungszentrum Jülich and/or the Helmholtz Association * Preparation of research results for the Institute’s website * Coordination of the work with the Graphical Services of the Research Centre * Support of internal and external scientific events * Training of scientists in the use of media Your Profile: * University degree (Master) in physics, mathematics, biology or a related subject * High proficiency in the handling of open source graphics and video software, e.g. GIMP, lnkscape, for the production of scientific graphics and illustrations * Experience in the placement of scientific content, especially graphics and images, on social media channels such as Twitter * Extensive experience in the production of photo and video material. * Solid experience with Linux, LaTeX and Python, Git and Github * Knowledge of editorial systems of websites * Very good knowledge of written and spoken English * Very structured working style to prioritize the work. Experience in project and time management are desirable * Very independent and proactive working style * Assertiveness with empathy * Very high communication skills with researchers and administrative staff Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Flexible working hours, part-time employment with 19,5 working hours per week, and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service * We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 2 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). * Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application via our online recruiting system<https://www.fz-juelich.de/portal/EN/Careers/application/_node.html?cms_hre_…> Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PDF at the intersection of brain dynamics, machine learning, and psychedelics
by AaronJ Gruber 22 Jul '21

22 Jul '21

*Postdoctoral Researcher at the University of Calgary* We are recruiting a talented postdoctoral researcher to participate in a cutting-edge International Network for Brain-Inspired Computation that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and emergent activity patterns and representations that drive biological computation. The specific objective is to understand cognitive brain function and the effects of psychedelics by analyzing large-scale ensemble neural data collected in our labs, in conjunction with computational and/or analytical work to identify key mathematical principles and develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. This postdoctoral position is partially funded by the Pacific Institute for Mathematical Sciences and is aimed to strengthen the link between the Campus Alberta computational neuroscience community at the University of Calgary (Complexity Science Group, Hotchkiss Brain Institute) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience) with the other network members including the Computational Neuroscience Center at the University of Washington. The position is open immediately with primary locations in either Calgary or Lethbridge. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (jdavidse(a)ucalgary.ca) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca) Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin* July 31st, 2021*, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity

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Multiple postdoctoral openings in multi-scale brain network dynamics, reinforcement learning and decision-making at Washington University in St. Louis
by Ching, ShiNung 21 Jul '21

21 Jul '21

Multiple postdoctoral openings are available for a new and large project to study the circuit underpinnings of reinforcement learning and decision-making. A key focus is on understanding multiple time-scales of information processing in neural circuits and involvement of neuron-astrocyte interactions. Experiment- and theory-forward positions are available. Applicants should have prior experience in neuroscience (computational or otherwise), modeling of large-scale systems, optimization, machine learning or related areas. Positions will be appointed in Neuroscience and/or Engineering. Washington University in St. Louis is an independent, Research 1 university in St. Louis, MO, USA, with nearly 60 of the university's graduate and undergraduate programs ranked in the top 25 by US News & World Report. Interested applicants are invited to send a CV and brief description of interests to shinung(a)wustl.edu<mailto:shinung@wustl.edu>

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Postdoc opportunity in EEG computational analysis (Houston, TX)
by Maheshwari, Atul 21 Jul '21

21 Jul '21

The Maheshwari Lab is looking for an enthusiastic post-doctoral associate to join the lab ASAP. We study mouse models of epilepsy, trying to understand the underlying development of epilepsy as well as the overlap between epilepsy and comorbidities such as Attention Deficit Hyperactivity Disorder (ADHD). Techniques used in the lab include implantation of EEG electrodes, immunohistochemistry, confocal imaging, advanced computational analysis of EEG, video-EEG monitoring, and behavioral testing for sustained attention. We also apply advanced techniques to analyze scalp and intracranial EEG from patients who are being evaluated in an Epilepsy Monitoring Unit (EMU) setting. The main role for this position is performing advanced computational EEG analysis. Experience with machine learning is preferred. Prior work with rodents is not necessary. For more information or to apply: https://www.nature.com/naturecareers/job/postdoctoral-associate-baylor-coll…. You'll love Houston - a diverse and friendly environment for science! You can contact me by email at atul.maheshwari(a)bcm.edu<mailto:atul.maheshwari@bcm.edu> or DM me on Twitter @NeuroMaheshwari. Atul Maheshwari, MD Associate Professor Departments of Neurology and Neuroscience Baylor College of Medicine

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Apply Now: Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Eric Shea-Brown 21 Jul '21

21 Jul '21

Shanahan Foundation Fellowship at the Interface of Data and Neuroscience Overview The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is a new, three-year fellowship program that aims to: · Integrate data scientists in neuroscience research · Challenge traditional approaches to neuroscience · Provide multidisciplinary, multi-organizational co-mentorship · Provide a network and community · Support career development in data science The fellowship will be co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) and is directed by Dr. Christof Koch at the Allen Institute. Details During the three-year fellowship, fellows will identify a mentor at the Allen Institute, where the fellows will be based. Fellows will select a co-mentor at the University of Washington who will provide additional guidance on a project designed by the fellow, focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks <http://www.brain-map.org/> – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in the brains of mice, non-human primates and humans – or through ongoing laboratory work. Fellows will participate in the postdoctoral career development program at the University’s e-Science Institute and the UW Institute of Neuroengineering (UWIN). The eSciences Institute offers regular workshops on key topics including cloud computing, python and reproducibility. New fellows will attend the annual Summer Workshop on the Dynamic Brain <https://alleninstitute.org/what-we-do/brain-science/events-training/summer-…> where they will learn how to apply data science skills to neuroscience data and questions. Throughout the three years, fellows will be supported in developing a network in the neuroscience field and sharing their progress with peers at conferences. Up to three fellows will be selected to begin in Fall 2021. Eligibility Requirements Applicants must be data scientists in a broad sense, with a Ph.D. in a quantitative field such as computer science, electrical engineering, physics, mathematics or biology with a background in statistical, computational and machine learning methods. Ph.D.’s should have been awarded in the last 3 years. One goal of the fellowship is to build a network of collaborators, as such, priority will be given to applicants who are not currently postdoctoral fellows or scientists at the University of Washington or the Allen Institute respectively. We believe high-quality science can only be produced when it includes different perspectives. We are building an environment of diversity and inclusion and encourage people from all backgrounds to apply for this fellowship. Application Instructions For full consideration, please submit your application by August 1, 2021. Applications may continue to be considered after this deadline on a rolling basis until positions are filled. Learn more and apply on the Shanahan Fellowship Website <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…>. Applications must include: · A curriculum vitae from the applicant · Two letters of support from advisors and other mentors · A one page personal statement from the applicant describing their history, activities and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields. · A two to three page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals. · The choice of the final advisor/co-advisor will be accomplished during the first year of this fellowship. Questions? Email: shanahan.fellow(a)alleninstitute.org <mailto:shanahan.fellow@alleninstitute.org>

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SCGB Global Postdoc/Student Meeting: Thursday, August 5th by Kayvon Daie
by Laura Long 20 Jul '21

20 Jul '21

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at this month's Global meeting! Please see event details and Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-163… Thursday, August 5th, 1pm Eastern Time https://simonsfoundation.zoom.us/j/93637538440?pwd=MnNCeVF1eThKZmVUa2p5bUlR… Passcode: 443599 *Kayvon Daie*Research Associate, Svoboda Laboratory HHMI's Janelia Research Campus *Dissection of the neural circuitry underlying short-term memory* Short-term memory is associated with persistent neural activity without sustained input, arising from the interactions between neurons with brief time constants. A variety of neural circuit models could account for existing measurements of neural activity. To explore which, if any, of these models are most consistent with neural circuitry, we measured coupling between functionally characterized motor cortex neurons in mice performing a memory-guided response task. Targeted two-photon photostimulation of small (<10) groups of neurons produced sparse calcium responses in coupled neurons over approximately 100 μm. Neurons with similar task-related selectivity were preferentially coupled. Photostimulation of different groups of neurons modulated activity in different subpopulations of coupled neurons. Responses of stimulated and coupled neurons persisted for seconds, far outlasting the duration of the photostimuli. Photostimuli produced behavioral biases that were predictable based on the tuning of the photostimulated population, even though photostimulation preceded the behavioral response by seconds. Our results suggest that memory-related neural circuits contain intercalated, recurrently connected modules and that these modules are coupled via long-range “hidden feedforward” connections. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-163… Please contact Laura Long at llong(a)simonsfoundation.org with any questions. Sign up for our mailing list here: https://forms.gle/DZa1b2WCtvw5XFhAA

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Postdoc position in Tuebingen on TMS/ERP projects to understand visual perception/attentional processes
by Zhaoping Li 20 Jul '21

20 Jul '21

Two postdoc positions are available at the Max Planck Institute for Biological Cybernetics in Tuebingen, Germany, to work on projects aimed towards understanding visual attentional and perceptual processes using TMS and/or EEG methodologies. The framework and motivation of the projects can be found at http://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. TMS and/or EEG methodologies can be used in combination with fMRI/MRI, eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Candidates should be skilled in visual psychophysics and proficient in programming, previous experience in TMS and/or ERP is a plus. Please send your application by a single pdf file, including your CV, a brief statement of research interests, an approximate date for availability, and names and contacts for three references to jobs.li(a)tuebingen.mpg.de. Applications sent before September 1st will be preferred, but later applications will be considered until the positions are filled. The appointment is for one year, renewable for additional years. Enquiry to li.zhaoping(a)tuebingen.mpg.de Li Zhaoping -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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PhD position - Neuroscience - University of Antwerp, Belgium
by Georgios A. Keliris 19 Jul '21

19 Jul '21

The Bio-Imaging Lab, Department of Biomedical Sciences in the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences is looking for a full-time doctoral scholarship holder in the field of Biomedical Sciences/Neuroscience with a focus on using neuromodulation to alleviate deficits in Alzheimer’s disease Position You will work actively on the preparation and defence of a PhD thesis in the field of Biomedical Sciences/Neuroscience. The PhD project will use state-of-the-art techniques including MRI, fiberoptic photometry, electrophysiology, behaviour, and neuromodulations tools (chemogenetics/DREADDs and/or optogenetics) specifically targeting neurons in the basal forebrain to alleviate behavioural and brain network deficits of rodent models of neurodegeneration (Alzheimer’s Disease). You will publish scientific articles related to the research project. You will carry out a limited number of teaching and research support tasks for the Bio-Imaging Lab. Profile You hold a Master degree in neuroscience, biomedical sciences, cognitive science, engineering or related fields or you will have obtained it by the time you start work. You can demonstrate excellent study results. Your teaching competences are in line with the University of Antwerp’s educational vision <https://www.uantwerpen.be/en/about-uantwerp/organisation/mission-and-vision…>. Your research qualities are in line with the faculty and university research policies <https://www.uantwerpen.be/en/research/management/>. You act with attention to quality, integrity, creativity and cooperation. You have a FELASA C attest or you are willing to obtain one. You are fluent in English and have strong communication skills. Preferably you have experience with (small-animal) imaging or electrophysiology Experience in one or more of: imaging, mathematics, computational neuroscience, programming (e.g., Matlab/Python/C/…) will be considered as a bonus. What we offer We offer a doctoral scholarship for a period of two years. Following a positive evaluation, the scholarship can be renewed once for another two-year period. The planned start date is 1 October 2021 or as soon as possible after that date. Your monthly scholarship amount is calculated according to the scholarship amounts <https://www.uantwerpen.be/en/jobs/what-do-we-offer/salaries/>for doctoral scholarship holders on the pay scales for Contract Research Staff (Dutch: Bijzonder Academisch Personeel, BAP). You will do most of your work at Campus Drie Eiken (CDE) in a dynamic and stimulating working environment. Find out more about working at the University of Antwerp here <https://www.uantwerpen.be/en/jobs/uantwerp-as-an-employer/hr-policy/>. Want to apply? You can apply for this vacancy through the University of Antwerp’s online job application platform up to and including 16 August 2021 (by midnight Brussels time). Click on the 'Apply' button, complete the online application form and be sure to include the following attachments: a motivation letter, your academic CV, three names and contact information of people that can provide recommendation letters, any additional certificates that can indicate your competences. The selection committee will review all of the applications as soon as possible after the application deadline. As soon as a decision has been made, we will inform you about the next steps in the selection procedure. If you have any questions about the online application form, please check the frequently asked questions <https://www.uantwerpen.be/en/jobs/apply-online-uantwerp/> or send an email to jobs(a)uantwerpen.be <mailto:jobs@uantwerpen.be>. If you have any questions about the job itself, please contact Prof. Georgios Keliris, georgios.keliris(a)uantwerpen.be <mailto:georgios.keliris@uantwerpen.be> and include the following in the title of your email: <QNEUROPOSKEL>. The University of Antwerp received the European Commission’s HR Excellence in Research Award <https://www.uantwerpen.be/en/jobs/uantwerp-as-an-employer/hr-excellence-in-…> for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity <https://www.uantwerpen.be/en/about-uantwerp/organisation/mission-and-vision…> and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.

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Bernstein Conference 2021 - registration is now open
by Anja Dorrn 19 Jul '21

19 Jul '21

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 & NEWS * Bernstein Conference: September 21-23, 2021 * Registration is now open * Abstract submission deadline: August 3, 2021, 1 pm CEST * Selected Satellite Workshops are now online<https://bit.ly/BC21_workshops> ____ REGISTRATION The participation at the online Bernstein Conference 2021 will be free of charge for all participants. Thus the Bernstein Network contributes to keep the scientific exchange alive in the ongoing challenges during the pandemic. Please register here: https://hopin.com/events/bernstein-conference-2021 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts for poster presentations. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission is open until August 3, 1 pm CEST. 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> 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, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc in computational neuroscience in New York - Coen-Cagli Laboratory
by Ruben Coen-Cagli 14 Jul '21

14 Jul '21

The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. Our lab studies how biological sensory systems interpret the surrounding environment. We study how populations of visual-cortical neurons represent and transmit visual information, and how those processes control perception. We combine theories of probabilistic neural coding, machine learning and natural image statistics, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics, and will have the opportunity to interact closely with experimental collaborators and access to datasets including electrophysiology, imaging, and perturbations of large neural populations. Most recent publications: (2021) D. Festa et al. Nature Communications 12:3635<https://rdcu.be/cmy7M> (preprint bioRxiv<https://doi.org/10.1101/2020.06.17.142182>) (2021) D. Herrera et al. Journal of Vision 21(1):1<https://jov.arvojournals.org/article.aspx?articleid=2772139> (2021) G. Dehaene et al. PLoS Computational Biology 17(1):e1008138<https://doi.org/10.1371/journal.pcbi.1008138>. (2021) D. Herrera et al. Vision Research 187:55-65<https://doi.org/10.1016/j.visres.2021.06.007> (preprint bioRxiv<https://www.biorxiv.org/content/10.1101/2021.04.26.441524v1>) (2020) J. Vacher et al. NeurIPS 2020<https://papers.nips.cc/paper/2020/hash/fba9d88164f3e2d9109ee770223212a0-Abs…> spotlight. (2019) R. Coen-Cagli, S. S. Solomon. Journal of Neuroscience 39(37):7344<https://www.jneurosci.org/content/39/37/7344> (preprint biorxiv<https://www.biorxiv.org/content/early/2018/12/31/508838>). Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. Prior experience should include areas such as computational neuroscience, machine learning, statistics, or computer vision. We are particularly interested in applicants with a genuine interest in linking theoretical and computational work to quantitative analysis of neurophysiology data. Einstein offers a vibrant interdisciplinary environment, with a strong systems and computational contingent. It is located in a quiet neighborhood of the Bronx, New York. The Bronx is one of the most diverse counties in the United States, the birthplace of hip-hop, and home to a rich cultural and sports scene. Einstein is also a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/ The position is available immediately, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. The lab strives to be an open, inclusive, harassment-free environment. Ruben is an ally of Black In AI and a member of Einstein's Senate Diversity, Equity and Inclusion committee. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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Young post-doc neuromorphic position at Sevilla Microelectronics Institute, Spain.
by bernabe 13 Jul '21

13 Jul '21

*Young post-doc neuromorphic position at IMSE* The "Instituto de Microelectrónica de Sevilla" (IMSE) has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs) financed by the Andalusian Regional Government. Gross annual salary is 30k€, which allows for a wealthy life in Sevilla, Spain. Requirements: - Official PhD graduation date must be after June 2016, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - Deadline for candidacy submission is end of July. Prospective candidates please contact us at bernabe(a)imse-cnm.csic . - More details here: <link> <http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/image/Post-doctoral…> The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group (see www.imse-cnm.csic.es/neuromorphs) can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. -- Prof. Bernabe Linares-Barranco, Director, Instituto de Microelectronica de Sevilla (IMSE-CNM), Sevilla, Spain www.imse-cnm.csic.es/~bernabe

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Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors)
by Yuvaraj Rajamanickam 13 Jul '21

13 Jul '21

Dear Researchers, Good day to you. Currently, we are accepting the high-quality book chapters for our upcoming edited book in *Springer,* titled, *Biomedical signal-based computer-aided diagnosis for neurological disorders*. Please see below for more information. We invite you and your network connections to consider submitting a high-quality paper related to the aim and scope of this book for possible publication. If possible, you could share this CFP in your network for their possible contribution. Please feel free to contact us, if you have any questions. Submission link: https://easychair.org/conferences/?conf=bscadnd2021 Any queries, please feel free to write to us at bookchapter.bscad(a)gmail.com and CC to m.murugappan(a)kcst.edu.kw ; yuvaraj.rajamanickam(a)nie.edu.sg. Major topics to be included in the book are: •Introduction to neurological disorders (ND) and biomedical signal processing. •Basic principles of CAD in ND diagnosis. •Characterization of biomedical signals in ND. •Feature engineering and optimization. •Machine learning techniques in CAD for ND •Deep learning algorithms in CAD for ND •Neural network applications in CAD for ND •Fuzzy logic and optimization techniques •Supervised and unsupervised learning •Case studies related to ND diagnosis. •Challenges in the CAD for ND •Advances and trends in CAD for ND diagnosis. •Open Challenges in CAD in ND diagnosis Important dates •Abstract Submission (max 250 words): 30th July 2021 •Acceptance of abstract: 5th August 2021 •Full chapter submission:15th September 2021 •Authors notification: 15th October 2021 •Camera ready submission: 10th November 2021 •Permission and copyright:20th November 2021 •Publication date: 1st quarter of 2022 Submission guidelines •MS Word, single column, Times New Roman, 11 font size, 1.15 spacing. •References must follow springer style. •Length of the chapter: 20-25 pages (11550 words (approx.)) including references, tables, figures. •Similarity index should be less than 10 % (without reference). •All figures must be supplied as final artwork (e.g., JPEG, PNG, TIFF, etc.) at high-resolution. NO PUBLICATION/ ARTICLE PROCESSING FEE. •All manuscripts are accepted based on a double-blind peer review editorial process. Indexed by Web of Science (WoS), SCOPUS, Google Scholar, SCImago Regards YUVARAJ

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Change of date! Announcing free online spiking neural network workshop Nov 2-3, reg & submissions open
by Goodman, Daniel F M 12 Jul '21

12 Jul '21

Apologies for emailing again with this announcement. We originally announced the workshop (included below) for Nov 8-9 but found out that it clashed with SFN online meeting. We have changed the dates to 2-3 November 2021. Please update your diaries accordingly. Many thanks, Dan We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 2-3. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 2-3 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

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Two Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang 11 Jul '21

11 Jul '21

We are looking for two highly motivated postdoctoral scholars to work on NSF and DoD funded projects. One postdoctoral scholar will use human single-neuron recordings to study the neural circuits underlying social attention, and the other postdoctoral scholar will use multimodal neuroimaging techniques to study social behavior and brain networks in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Individuals with previous human intracranial EEG expertise and/or macaque single-neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. The Wang Neuroscience Lab is housed in the Mallinckrodt Institute of Radiology (MIR) at the Washington University School of Medicine (WUSM) in St Louis. WUSM is a world class research intensive academic health center that is consistently ranked among the nation’s research-oriented medical schools. Additionally, it is nationally known for its attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. St. Louis is consistently rated a Forbes most affordable city with vibrant music, food and park scene, and has one of the fastest growing start-up communities with impressive accelerator and incubator services available through the Biogenerator, Cambridge Innovation Center, and Cortex Innovation District. Shuo Wang, Ph.D. Assistant Professor Washington University in St. Louis https://sites.wustl.edu/wanglab/

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Deadline extension: CFP Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ ICDL2021
by Stefan Heinrich 11 Jul '21

11 Jul '21

Call For Contributions - Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ IEEE ICDL2021 Deadline extended! Aims and Scope: Understanding human intelligence and building strong AI systems is a key challenge for our generation. A particularly puzzling aspect is that the human brain seems to cope very well with the highly variable and uncertain nature of perception and action, regarding both their signal characteristic and how they extend over time. Furthermore, it seems apparent that the information processing in the brain always involves previous bodily experiences and all our senses, thus is embodied and crossmodal. For explaining these characteristics, there are strong accounts that the brain is constantly predicting sensory input and feedback while minimising free energy in the prediction and is hierarchically abstracting the perception as well as hierarchically composing action. Furthermore, it is also hypothesised that mechanistic priors in the brain’s information processing induce a failure of hierarchical inference in the brain, accounting for atypical perception and action of psychiatric disorders. For example, some brains might have developed to focus too strongly on current sensory input while others might focus too strongly on memorised previous experience. A typically developed brain, in contrast, would show a fine balance compared to these two extreme priors. The big open mystery is: how is the brain developing this on a mechanistic level and thus how can this get learned within an AI system? Thus, to lift this mystery, we further need to bring together research from computational neuroscience, cognitive psychology, and artificial intelligence. With this workshop, we particularly want to wrap up different recent hypotheses, models, and experiments and discuss in-depth how to shape future imaging, behavioural, and developmental robotics studies as a complement to computational modelling and bio-inspired artificial intelligent algorithms. As a guiding theme, we aim to approach the following central questions: - How does the brain learn spatio-temporal stochasticity in perception and action? - What is the role of priors in learning spatio-temporal adaptive prediction? - How can developmental robotics help us to study spatio-temporal stochasticity as an analogy to infant learning? We examine these questions with the insight from invited key speakers from complementary fields as well as original contributions in breakout sessions in order to conclude the next steps within in a panel discussion. All information online: https://sites.google.com/view/stepp21/home Keynotes/Panellists: - Jun Tani, Cognitive Neurorobotics, Okinawa Institute of Science and Technology (OIST) - Marcel van Gerven, Artificial Cognitive Systems, Donders Institute, Radboud University - Takuya Isomura, Brain Intelligence Theory, RIKEN Center for Brain Science - Takamitsu Watanabe, Brain Network Dynamics, International Research Center for Neurointelligence (IRCN), The University of Tokyo Contributions: We invite submissions of extended abstracts on ongoing research that focuses on one or several of our guiding questions as contributions. In addition to the live presentation and discussion during the workshop, the contributions will be made public in workshop proceedings. - Extended abstract submission deadline: 25.07.2021 (extended) - Decision & Notification: 01.08.2021 (latest) - Camera-ready version due: 08.08.2021 - Workshop online: 22.08.2021 Submission website: https://sites.google.com/view/stepp21/ => Contribute Organisers: Stefan Heinrich, IRCN, The University of Tokyo, Japan Shingo Murata, Dept. Electronics and Electrical Engineering, Keio University, Japan Yukie Nagai, IRCN & Institute for AI and Beyond, The University of Tokyo, Japan Yuichi Yamashita, National Center of Neurology and Psychiatry, Japan -- ************************************************************* Dr. Stefan Heinrich Postdoctoral Project Researcher Cognitive Developmental Robotics Lab The University of Tokyo, Institutes for Advanced Studies, International Research Center for Neurointelligence Email: heinrich.stefan(a)ircn.jp https://developmental-robotics.jp/en/members/stefan_heinrich/ https://ircn.jp/en/ https://stefanheinrich.net/ *************************************************************

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Brain Connectivity, Dynamics, and Complexity--please submit abtracts--deadline extended
by Stephen José Hanson 09 Jul '21

09 Jul '21

We are still looking for a few more submissions especially related to Resting state and fMRI..theoretical papers as well. The deadline is extended for submission till Aug 1. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… send queries through the website. thanks. Steve Hanson -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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Postdoctoral positions: modeling, imaging, and optogenetics (Boston U School of Medicine)
by Christina M. Weaver 08 Jul '21

08 Jul '21

Postdoctoral positions in modeling, imaging, and optogenetics (Boston University School of Medicine) The Luebke & Medalla labs (Dept. of Anatomy & Neurobiology, Boston University School of Medicine) use state-of-the-art approaches in imaging, immunohistochemistry, electrophysiology, and computational modeling to explore neural mechanisms underlying executive function in the mammalian prefrontal cortex. We seek highly motivated, detail-oriented postdoctoral research fellows to join our interdisciplinary team related to several exciting, federally funded projects. Read more about our research here <https://www.bumc.bu.edu/anatneuro/research/cellular-neurobiology/>. Modeling: This project, led jointly by Dr. Jennifer Luebke, Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY), aims to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkeys. We seek candidates with experience building differential equations-based mathematical models using MATLAB, Python, and/or NEURON compartmental modeling software. Experience with conductance-based modeling of single neurons or excitatory-inhibitory networks preferred. The successful candidate will build computational models to explore mechanisms of network dysfunction, constrained by our data from aging studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare. Imaging: This project, led by Dr. Luebke and Dr Klaus Wimmer (Centre de Recerca Matemàtica, Barcelona, Spain) and funded by the Collaborative Research in Computational Neuroscience (CRCNS) program, focuses on the computational and neural mechanisms underlying working memory and age-related changes to working memory and other executive function in the rhesus monkey. We seek candidates with an excellent track record using magnetic resonance imaging and image processing techniques to explore scientific questions with high health relevance. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting state fMRI, and diffusion spectrum imaging (DSI) brain scans to assess brain morphometry and connectivity. Data generated from brain scans will be correlated with behavioral, physiological and other anatomical data collected across the adult life span to inform sophisticated computational models. The project includes unique cross-national training opportunities for researchers in Boston and Barcelona alike. Optogenetics: One project, newly funded by NIH, uses multi-scale neuroanatomical, in vitro, and in vivo electrophysiological, pharmacologic and optogenetic techniques to study inhibitory circuits in the anterior cingulate cortex and lateral prefrontal cortex (ACC and LPFC) of rhesus monkeys, and how limbic input from the amygdala influences communication within the ACC-LPFC network. We seek candidates with expertise in optogenetics, imaging of voltage-sensitive dyes, patch-clamp recording and multiphoton microscopy. The successful candidate will combine anatomical and viral tracing with in vivo electrophysiological recordings in anesthetized preparations, as well as optogenetic stimulation and whole cell patch-clamp recording in in vitro slices, to investigate the cellular and synaptic properties of prefrontal circuits involved in cognitive and emotional control and integration. Each appointment as a Boston University School of Medicine research fellow will be for at least 1 year with the possibility for extension based on performance. Competitive salary based on experience. Interested applicants should attach the following: - A cover letter, - A current CV, - A brief statement of current and future research interests, - The contact information of three references. Please be aware that references may be contacted anytime after receipt of your application. Contact: Dr. Christina Weaver, christina.weaver(a)fandm.edu or Dr. Jennifer Luebke, jluebke(a)bu.edu Christina M. Weaver, Ph.D. Associate Chair of Mathematics Associate Professor Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Email: christina.weaver(a)fandm.edu

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Announcing free online spiking neural network workshop Nov 8-9, reg & submissions open
by Goodman, Daniel F M 07 Jul '21

07 Jul '21

We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 8-9. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 8-9 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

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Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task
by Mingbo Cai 07 Jul '21

07 Jul '21

*Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task* We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 2.5-year postdoctoral position is available at Dr. Mingbo Cai’s lab <https://cailab-ircn.org/> at the International Research Center for Neurointelligence <https://ircn.jp/en/>, The University of Tokyo. You will work on an exciting international collaboration project directed by both Dr. Cai <https://ircn.jp/en/mission/people/mingbo-cai> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up until Jan 2024 (future renewal depends on performance and budget), with a probation period of 6 months. Starting date: negotiable Requirements (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: Preferred skills: (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. Application procedure: Please send an email with the title “[Postdoc Application] + your name” to mingbo[doc]cai[at]ircn[dot]jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster or other presentation. Informal inquiry can also be sent to Dr. Cai. Application deadline: The application deadline is July 31. The position will remain open until filled. Review of applications starts as soon as they are received. Mingbo Cai Assistant Professor International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/

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PhD and Postdoc opportunities in Germany
by Tatjana Tchumatchenko 06 Jul '21

06 Jul '21

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and projects typically involve modelling and data analysis. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD and Postdoc positions are currently open: 1) A PhD position in a project exploring the intersection of protein dynamics and machine learning. This involves analyzing the collective motion of multiple receptors in a cell. 2) A PhD position in project designing models describing protein dynamics in dendrites and analyzing imaging data 3) A postdoc or PhD position in a project addressing the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

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Call for applications at the paris Brain Institute
by Jean Daunizeau 05 Jul '21

05 Jul '21

Dear colleagues, This is to let you know that the Paris Brain Institute is seeking to recruit a team leader at the starting, junior or mid-career level, working in computational and/or theoretical neuroscience. Please visit this page for more info: https://institutducerveau-icm.org/en/actualite/call-for-applications/ Best regards, Jean Daunizeau. -- Jean Daunizeau Motivation, Brain and Behaviour group (ICM) web: http://sites.google.com/site/jeandaunizeauswebsite/

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PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning
by Jian Liu 05 Jul '21

05 Jul '21

*PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information in one single PDF, to j.liu9(a)leeds.ac.uk: - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computing conducts ranging from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation. We are parents with the Alan Turing Institute, the UK’s premier research centre for data science and artificial intelligence. The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine holds the Gold award. We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. We will make the working patten inclusive and flexible. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

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Job Posting: Scientific Software Developer
by Dr. David Goyer 05 Jul '21

05 Jul '21

Dear All, The Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6) at Research Center Jülich is looking for a Scientific Software Developer for Neural Data Analysis Tools. Full details of the job offer can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-192-E… Application deadline is 25.07.2021. If you have questions regarding this job posting feel free to contact me. Kind regards, David Goyer Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich Germany phone: +49-1756402993

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PhD student in data science of Parkinson's electrophys data (MEG, DBS, etc) in Dusseldorf
by Dmitrii Todorov 05 Jul '21

05 Jul '21

Project Title: Improving deep brain stimulation through artificial intelligence We are looking for a PhD student to join our research project Improving deep brain stimulation through artificial intelligence. In this project, you will collect data from patients using simultaneous MEG and intracranial recordings. In addition, we will obtain kinematic data and anatomical images of the brain using MRI. Besides neuroscientific measurements, data science plays an important role. The project involves the creation of a scientific database and sophisticated data analysis, using dedicated software tools for MEG/MRI and the implementation and application of machine learning algorithms. The doctoral researcher will conduct neuroscientific experiments, analyze and present the data, and prepare publications under supervision, resulting in a PhD thesis. Requirements Master of Science in the natural sciences, computer science or psychology Intrinsic motivation and a passion for brain research First experience in programming and scientific data analysis (mandatory) First experience in at least two of the following: M/EEG, machine learning/AI, local field potential recordings, motion tracking, MRI, scientific databases The project is supported by a five-year grant of the Brunhilde Moll Foundation to Prof. Alfons Schnitzler and Dr. Jan Hirschmann. We offer fixed-term contracts for three years initially, with the possibility of prolongation. Payment accords to the regulations for the German public sector (Tarifvertrag für den öffentlichen Dienst der Länder). The applications should include a statement of research interests and reasons for applying to the project, a curriculum vitae including a list publications, a certificate of the Master’s degree, a copy of the master’s thesis and grades of Master’s level studies, and the names and e-mail addresses of two referees. Please address questions and send applications (pdf only!) to Jan.Hirschmann(a)med.uni-duesseldorf.de See full details here https://www.uniklinik-duesseldorf.de/en/institute-of-clinical-neuroscience-… -- Best regards, Dmitrii Todorov Postdoc Institute for Clinical Neuroscience and Medical Psychology Dusseldorf University Clinic

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Deadline extension Call for Papers Special Issue IEEE TCDS
by Bruno Lara 03 Jul '21

03 Jul '21

Dear all; The call for papers for our special issue has been extended: New dates: Paper submission deadline - 1 September 2021 Notification to authors - 1 November 2021 Deadline revised papers submission - 15 January 2022 Final version - 15 February 2022 The call can be found in: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9448373 We would like to announce a special issue for the journal IEEE Transactions on Cognitive and Developmental Systems. The general topic revolves around perceptual optimization processes related to attentional and predictive mechanisms. We are interested in work coming from a wide range of areas including robotics, psychology, philosophy and neuroscience. Themes include: · Attentional and gating mechanisms for action and sensory information processing · Context- and task-dependent perceptual optimization · Sensory attenuation/cancellation and sensory enhancement/facilitation · Interplay of predictive and attentional mechanisms for prediction error minimization · Multimodal integration and/or cross-modal interactions · State representation learning · Constrained innate priors that drive learning · Prediction in language learning and comprehension · Prediction error dynamics monitoring · Dreaming, non-conscious perception, hallucination, altered perceptual phenomena -- -- +++++++++++++++++++++++++++++++++++++++++++++ Dr. Bruno Lara Guzman Profesor Investigador Centro de Investigación en Ciencias Universidad Autónoma del Estado de Morelos Av. Universidad 1001. Col. Chamilpa Cuernavaca, Morelos. C. P. 62209-- M É X I C O +++++++++++++++++++++++++++++++++++++++++++++ http://roboticacognitiva.mx Tel (52) (777) 3-29-70 40 x 3280 +++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++

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THEORETICAL/COMPUTATIONAL NEUROSCIENCE FACULTY POSITION AT CSHL
by Tony Zador 02 Jul '21

02 Jul '21

*Cold Spring Harbor Laboratory is seeking faculty candidates in the area of Computational/Theoretical Neuroscience. * Of particular interest to this search are candidates with expertise in *computational and theoretical neuroscience, machine learning, and artificial intelligence*. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. *Review of applications is currently underway and will continue until the position is filled. * Please see https://www.cshl.edu/about-us/careers/faculty-positions/ for details. If this position is *of interest to you or your colleagues, we would welcome your applications*. This link will bring you to the formal posting where *interested candidates* can create an account and apply: Faculty Positions In Neuroscience position ID 02703-R. *Specific questions regarding the opportunity can be sent *directly to CSHLfacultyjobs(a)cshl.edu .

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EITN Fall School in Computational Neuroscience : Applications extended to 25 July 2021
by Zélie Tournoud 02 Jul '21

02 Jul '21

Dear colleagues, We are happy to let you know that the application deadline for the *EITN Fall School in Computational Neuroscience* has been extended to the *25th of July 2021*. This *10-days intensive course in computational neuroscience* will take place in *P**aris, France from 15 to 24 September 2021*. This is a yearly event, although previous occurrences took place in the spring. We choose to keep it relatively small-scale in order to facilitate interactions between participants and teaching staff, there are about 20 seats available. There will, therefore, be a selection made after applications are closed. We encourage you to share the word widely with your collaborators and networks so that everyone who might be interested can get the chance to apply. Applications need to be addressed by email with a *resume (CV)* and a *cover letter* at *eitn(a)neuro-psi.fr*. Please make sure to use an explicit email title such as "Application to EITN Fall School". *Organizers: *Sacha Van Albada (Julich), Albert Gidon (U Berlin), Alain Destexhe (CNRS), Gorka Zamora-Lopez (UPF) and Spase Petkowski (AMU) *Faculty:* Nicolas Brunel (Duke University) Mallory Carlu (CNRS) Hermann Cuntz (Max Planck Frankfurt) Damien Depannemaecker (CNRS) Alain Destexhe (CNRS) Michael Dick (Julich) Renato Duarte (Julich) Gaute Einevoll (MBU) Kirsten Fisher (Julich) Albert Gidon (U Berlin) Jennifer Goldman (CNRS) Moritz Helias (Julich) Christian Keup (Julich) Anno Kurth (Julich) Mario Lavanga (AMU) Jean-Didier Lemarechal (AMU) Marja-Leena Linne (U Tempere) Jorge Mejias (UVA) Spase Petkowski (AMU) Marcel Stimberg (Institut de la Vision) Bartosz Telenczuk (CNRS) Fererico Tesler (CNRS) Nuria Tort-Colet (CNRS) Sacha Van Albada (Julich) Gorka Zamora-Lopez (UPF) *Why join?* * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris *Selection criteria:* 1. Work or study in neuroscience or related 2. Experience in python programming would help 3. Priority to PhD students, although Master students and post-docs are welcome to apply *Practical information:* * Subscription fee 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the 10 days of the course. You can also consult these information online <https://www.eitn.org/index.php/calendar-event/eventdetail/737/-/eitn-fall-s…> or by downloading the PDF flyer: https://www.eitn.org/images/events/EITN-FallSchool-2021_Flyer.pdf Thank you very much for applying or sharing with your relevant contacts. Kind regards, The EITN Team

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Scientific Software Engineer or Data Scientist, deadline July 11th 2021, Salary level E13 TVL
by Jochem Rieger 02 Jul '21

02 Jul '21

Dear colleagues, we have an open DFG-funded position for 3+2 years for the development of data infrastructure including storage, streaming and analysis tools for reproducible science based on the BIDS standard at our Neuroimaging Unit at University of Oldenburg, Germany. Link to the announcment: https://uol.de/stellen?stelle=68111 Application deadline is July 11th 2021 The position is ideal for networking in the open science community as it includes workshop organization and interaction with the open (neuro)science community. It is complemented by a full time technician position for support. The salary level is E13. The exact salary is dependent on experience and family status. But the rough numbers are on the web. The Neuroimaging Unit hosts a 3T Siemens Prisma MRI-scanner and a 306 channel Triux MEG system. The university hosts a prestigious DFG-funded Cluster of Excellence in Hearing Research and the Dept. of Psychology was recently evaluated as excellent with the highest third party funding rate among psychologies in Lower Saxony. The city of Oldenburg has a high standard of living, Hamburg, Bremen and the north sea are between 30 to 90 min distance. We are looking forward to your application! Best regards, Jochem The Neuroimaging Unit and the Applied Cognitive Neuropsychology Lab at the School of Medicine and Health Sciences of the University of Oldenburg is seeking to fill the position of a *Scientific Software Engineer or Data Scientist (m/f/d)* *(Salary level E13 TVL, 100%)* ** for the development of open and reproducible neuroscience tools and processing pipelines*.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible**until 30^th of September 2023 (with the possibility to extend another 2,5 years after successful evaluation and extension of the project)*. The position is suitable for part-time work. The Neuroimaging Unit hosts a state-of-the-art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively perform research on and contribute to the implementation of a standardized neuroscience data acquisition, reproducible analysis pipelines and data storage for open science building on the BIDS standard. He/she should further contribute to community efforts and dissemination. Candidates should have a strong motivation to contribute to the community of developers open science tools. The development can include scientific projects, as long as they fit into the research focus of the lab (machine learning in cognitive neuroscience, speech processeing, and human state monitoring) but tool and processing pipeline development comprises the main part of the position. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Dr. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger(a)uni-oldenburg.de <mailto:jochem.rieger@uni-oldenburg.de>). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*11*th of July 2021**. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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NERKA8 Summer Course “Ion Channels and Neuronal Excitability”
by luiza filipis 01 Jul '21

01 Jul '21

Dear all, It is our pleasure to invite you to the NERKA8 Summer Course *“Ion Channels and Neuronal Excitability” *to be held *this year and in person* *September 8-12, 2021 *in Kotor, Montenegro. The course is organized by the *Faculty of Biology University of Belgrade* within the *NENS* School PhD program on *Neurobiology*. This school is to cover topics of *Ion Channels and Neuronal Excitability – techniques, modeling, physiology & pathology*. Information on application, deadlines, stipends and programm can be found on the website http://clm.bio.bg.ac.rs/neurobiology-course-2021/ -- Luiza Filipis,PhD Equipe OPTIMA Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 01 Jul '21

01 Jul '21

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-18 July 2021. This is a self-paced online course for researchers and students who wish to program their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org/>). Participants learn the art of programming differential equations to simulate neuronal dynamics. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Friday 9th July, 2021. Late enrolments ($150) close Sunday 18th July, 2021. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021
by Anton Arkhipov 30 Jun '21

30 Jun '21

Dear all, Please join us for pre-CNS*2021 tutorials on June 30 and July 1: “From synapses to behavior – using open data, tools, and models from the Allen Institute in computational neuroscience”. https://www.cnsorg.org/cns-2021-tutorials#SA5 The Allen Institute recently released multiple free resources focusing on the structure and function of brain circuits, including data, associated analysis software, and models integrating the data to enable bio-realistic simulations. We will introduce several of these resources in a series of 1-hour sessions. The resources covered will include characterization of cell types and synapse types, 2-photon calcium imaging and Neuropixels electrophysiology in vivo, a visual behavior dataset, and bio-realistic models and modeling software. Wednesday, June 30, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - Synaptic Physiology (Luke Campagnola) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - PatchSeq (Nathan Gouwens) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Behavior (Alex Piet) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Please register for CNS*2021 and join us for the tutorials! https://www.cnsorg.org/cns-2021-quick Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Last chance to register: TEX2021 - Bringing together Predictive Processes and Statistical Learning
by Yamil Vidal 29 Jun '21

29 Jun '21

Last chance to register!! TEX2021 - Bringing together Predictive Processes and Statistical Learning A free online symposium organized by Yamil Vidal and Davide Crepaldi. We have few available spots left so do not wait until the last minute to register. Description: While the research communities studying Predictive Processes and Statistical Learning sprout from different traditions, they share a core interest in how our brains pick up on patterns in the environment. In this two-days symposium we will bring these communities closer by sharing talks by some of the leading researchers of these fields. When: 1st and 2nd of July (15:00 to 18:30, CET) Speakers: - Tristan Bekinschtein (Consciousness and Cognition Lab, Department of Psychology, University of Cambridge) - Lucia Melloni (Department of Neuroscience, Max Planck Institute for Empirical Aesthetics. Department of neurology, NYU Grossman School of Medicine) - Padraic Monaghan (Department of Psychology, Lancaster University) - Maria Chait (Ear Institute, University College London) - Floris de Lange (Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen) - Caspar Schwiedrzik (Neural Circuits and Cognition Lab, European Neuroscience Institute Goettingen. Perception and Plasticity Group, German Primate Center - Leibniz Institute for Primate Research) - Lori Holt (Department of Psychology, Carnegie Mellon University) - Nicola Molinaro (BCBL, Basque Center on Cognition, Brain and Language) Schedule and more info at the registration form: https://sissa-it.zoom.us/webinar/register/WN_nBOv5NWZQ36HSH7nyffazg We would be very happy to count you among the attendees. Please spread the word. Best regards, Yamil and Davide Dr. Yamil Vidal Cognitive Neuroscience Sector Scuola Internazionale Superiore di Studi Avanzati - SISSA via Bonomea, 265 34136 Trieste, ITALY

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Robustness, Adaptability and Critical Transitions in Living Systems satellite - Conference on Complex Systems 2021 Lyon, France
by Samir Suweis 29 Jun '21

29 Jun '21

We are glad to announce the 4th hybrid (on site + virtual) edition of ReACT satellite <https://liphlab.github.io/REACT2021/> during the CCS 2021 <https://ccs2021.univ-lyon1.fr/> in Lyon, France - 25-29/10/2021 Confirmed invited speakers: Anna Levina (University of Tubingen) and Sergi Valverde (CSIC-Universitat Pompeu Fabra) Organizing commettee: Samir Suweis (UNIPD), Giorgio Nicoletti (UNIPD), Sandro Azaele (UNIPD), Jacopo Grilli (ICTP) Abstract submission open through EasyChair <https://easychair.org/account/signin_timeout?l=JRR3vhQlzxctciXkPU1pGc#>. Deadline 31 July 2021 All info are available also on the satellite website: https://liphlab.github.io/REACT2021/ <https://liphlab.github.io/REACT2021/> ***** After the success of the Satellite at ECCS 2014, CCS 2016, and CCS 2018, the ReACT Satellite: Robustness, Adaptability and Critical Transitions in Living Systems is back for a fourth edition at CCS 2021 in Lyon, France. We are very pleased to announce that the Satellite will be host in an hybrid format, welcoming participants both online and in person! The Satellite will last half a day and will take place during the main conference (25th - 29th October, 2021). The exact date and times will be announced soon. Living systems are characterized by the recurrent emergence of patterns: power-laws distributions, long-range correlations and structured self-organization in living matter are the norm, rather than the exception. All these features are also typical of systems poised near a critical point. The great lesson from Physics is that criticality can emerge as a collective behaviour in a many-body system with simple interactions and its characteristics depend only on few details, like the dimensionality or the symmetries. One of the most striking feature of living systems is that they are structured as evolving systems were interactions can turn-on or off, as well as strengthening and weakening, reconfiguring the system connectivity. Thus, by rearranging both the structural and functional topology, living interacting systems may demonstrate unique evolvability, scalability and adaptability properties. Among these systems, the brain is probably one of the most impressively complex and has received a considerable amount of attention in recent years, aided by the vast amount of experimental data available. The idea that the collective behavior of neurons might emerge from a self-organized critical state has been widely studied, from its fundamental mechanisms to its functional advantages, and it poses a fascinating question that is far from being answered. It is of crucial importance to make further steps in the understanding of the main properties that simultaneously confer to these systems high level of adaptability, robustness and optimality. If we can “learn” from evolution and unravel the basic principles then we would be able to both better manage/supervise these systems and also design more optimal and sustainable new systems. ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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[CFP] 2nd call for abstracts (+deadline extended to July 16th): Computational Cognition workshop (COMCO 2021)
by Juliane Schwab 29 Jun '21

29 Jun '21

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[JOBS] PhD @ Italian Institute of Technology, Ferrara
by Alessandro D'Ausilio 29 Jun '21

29 Jun '21

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is opening 3 PhD positions starting in November 1st, 2021. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in human patients during awake Neurosurgery - Human non-invasive neurophysiology of speech and sensorimotor communication Who: chemists, physicists, materials scientists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/it/ctnsc-unife <https://www.iit.it/centers/ctnsc-unife>) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience <http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience> Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection <http://www.unife.it/studenti/dottorato/concorsi/selection> DEADLINE: July 23rd, 2021

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Tutorial on NEURON and NetPyNE at CNS*2021
by McDougal, Robert 28 Jun '21

28 Jun '21

(Apologies for cross-posts.) Interested in learning how to build biophysically detailed neuronal models with NEURON and NetPyNE? Join us for a tutorial at CNS*2021 on Saturday, July 3rd starting at 10am EDT: Time (New York City / EDT) Presenter Subject 10:00 - 10:30 Bill Lytton Overview: implementing the conceptual model 10:30 - 11:50 Robert McDougal NEURON scripting basics 11:50 - 12:00 coffee break 12:00 - 1:00 Adam Newton Reaction-Diffusion 1:00 - 1:30 lunch break 1:30 - 2:50 Salvador Dura-Bernal NetPyNE GUI-based tutorials 2:50 - 3:00 coffee break 3:00 - 4:00 Salvador Dura-Bernal NetPyNE programming tutorial For more information, see: https://neuron.yale.edu/neuron/courses/2021-cns-neuron-netpyne-tutorial Register for CNS*2021 to attend; see https://www.cnsorg.org/cns-2021-registration-fees

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PhD position with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany
by Laurenz Wiskott 28 Jun '21

28 Jun '21

The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. One particular strength of RUB is interdisciplinary research in Machine Learning and Artificial Intelligence, see https://ml-ai.rub.de/. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a research assistant / Phd-student in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled at 15th of September. The appointment will be for three years. Salary is 75% of salary scale TV-L E13. Task: • Develop a cognitive system that learns to behave reasonably in new situations based on few episodic experiences. Central to the system shall be an episodic and a semantic memory. The application domain will be navigation. The candidate is free to put the focus on machine learning techniques or on the modeling of natural cognition. We offer: • An interesting interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Computational Neuroscience. • Room to develop your own ideas in the project. • Infrastructure to integrate well into the institute and the group. • Opportunity to do a PhD (Dr). Requirements: • Very good Master in mathematics, computer science, engineering, or a related field. • Good programming and mathematical skills. • Interest in interdisciplinary research questions and cooperations. Advantageous: • Experience in Machine Learning and/or Computational Neuroscience. • Good communication and teamwork skills. • Experience in interdisciplinary projects. • Programming skills in Python. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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Bernstein Conference 2021 - Deadline for Contributed Talks extended until July 7
by Anja Dorrn 28 Jun '21

28 Jun '21

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>www.bernstein-conference.de ____ IMPORTANT DATES & NEWS * Bernstein Conference: September 21-23, 2021 * Abstract submission open: * Deadline for submission of abstracts to be considered for Contributed Talks: extended to July 7, 2021, 1 pm CEST * Deadline for abstract submission: August 3, 2021 * Selected Satellite Workshops are now online<https://bit.ly/BC21_workshops> * Registration will open soon and be free of charge ____ 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 is open. 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> 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, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Program and preliminary schedule for CNS*2021 Online
by Martin Zapotocky 28 Jun '21

28 Jun '21

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA*** Program and preliminary schedule available for 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** The program of the CNS*2021 Meeting can now be viewed at https://www.cnsorg.org/cns-2021-calendar <https://www.cnsorg.org/cns-2021-calendar> Please note that this year, the main days of the meeting (*July 3-7*) are preceded by software tutorials on *J**une 28-29*, and satellite tutorials on *June 30 - July 2*. For registration information, please visit https://www.cnsorg.org/cns-2021-registration-fees <https://www.cnsorg.org/cns-2021-registration-fees> Following registration, the attendees can use the conference Sched page to access detailed information for each session and to assemble a personalized schedule. Instructions are sent upon registration. Please follow the Sched page for up-to-date information on the event schedule. -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------

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Open postdoctoral position in Niv lab at Princeton University
by Angela Langdon 25 Jun '21

25 Jun '21

The lab of Dr Yael Niv in the Princeton Neuroscience Institute and Department of Psychology at Princeton University is looking for a talented and motivated postdoctoral researcher to join our team to study the neural mechanisms of reward prediction and learning in animals. This position is to work primarily with Dr Angela Langdon on a NIDA-funded project modeling behavior and neural recording data from rodents in a reward learning task (start date: as soon as possible). The ideal candidate will 1) have experience in computational or theoretical modeling, such as reinforcement learning, Bayesian inference, machine learning and/or neural circuit modeling; 2) be excited about mapping theories of learning and decision making onto behavior and its neural basis; 3) be keen to work in a collaborative and interdisciplinary scientific environment. More broadly, members of the lab study the behavioral and neural computations that support learning and decision making, and their interaction with attention and memory mechanisms. Our research spans a diverse set of theoretical tools from reinforcement learning, Bayesian inference and machine learning alongside various empirical techniques, including targeted behavioral experiments, eye tracking and fMRI. In addition, we work closely with our collaborators on model-guided analysis of animal behavior and neural activity across a number of learning paradigms – the current position is for a project in this domain, working with existing neural and behavioral data from rodents. We have a particular interest in research that can shed light on the changes to learning and decision making that are prevalent in a range of clinical disorders. The Princeton Neuroscience Institute and the Psychology Department at Princeton are highly interdisciplinary and collaborative, and provide excellent support for career development. You will be joining a vibrant and international research group, and will have opportunities to interact with and learn from a large number of researchers in cognitive and computational neuroscience. To apply, send your CV and statement of research interests to Yael Niv: yael(a)princeton.edu <mailto:yael@princeton.edu> and Angela Langdon: alangdon(a)princeton.edu <mailto:alangdon@princeton.edu>.

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Workshop on Clinical Computational Neuroscience at OCNS*2021
by Laure Buhry 25 Jun '21

25 Jun '21

Dear all, We would like to announce the Workshop on *“Clinical computational neuroscience: How computational neuroscience can solve problems from the clinic”,* which will be held on *July 7th* during the OCNS annual meeting from 9:30 am to 5:45 am (Paris time) / 3:30 am to 11:45 am (NY time)/ 5:30 pm to 1:45 am (Sydney time). Please keep in mind that for workshop attendance a registration at the main conference (https://www.cnsorg.org/cns-2021-registration-fees) is necessary. More information here: https://xenia-kobeleva.com/CNS2021/ We would love to see you there! Organizing Committee: Laure Buhry (co-chair) Xenia Kobeleva -- Dr Laure Buhry Associate Professor LORIA UMR CNRS 7503 - INRIA - University of Lorraine, France

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Postdoc position in neuronal network modelling and simulation
by Andrew Davison 24 Jun '21

24 Jun '21

Dear colleagues, A postdoc position in neuronal network modelling and simulation is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, as part of the Human Brain Project (https://neuropsi.cnrs.fr/en/departments/icn/group-leader-andrew-davison/) The large number of different simulation environments in neuroscience presents both a problem and an opportunity. Since each simulator has its own programming interface and output data format, reproducing, reusing, or combining models written for different simulators typically presents considerable difficulty. On the other hand, since each simulation environment has a different balance between efficiency, flexibility, scalability and user-friendliness, we can choose the most appropriate one for a given problem, or cross-check the results obtained with different tools. Simulator-agnostic model representation languages such as NeuroML and PyNN allow us to preserve the advantages of simulator diversity while reducing or eliminating the disadvantages, thereby making reproducibility and reuse much easier. Such languages let us take a single model description and simulate it in different environments without having to reimplement the model each time. The aim of this project is to expand the scope of PyNN from networks of simplified neuron models, such as integrate-and-fire, to networks consisting of biophysically- and morphologically-detailed neuron models, targeting the NEURON and Arbor simulators, the SpiNNaker and BrainScaleS neuromorphic computing systems, and interoperability with NeuroML and the SONATA format. We offer a flexible and collaborative working environment, including remote working up to two days per week. For more details and to apply, see https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-007/Default.aspx?lang=EN Informal enquiries are welcome, contact andrew.davison(a)cnrs.fr Andrew Davison, PhD Group leader, Neuroinformatics Department for Integrative and Computational Neuroscience (ICN) NeuroPSI - Paris-Saclay Institute of Neuroscience CNRS - Université Paris-Saclay 1, avenue de la Terrasse 91198 Gif-sur-Yvette France Tel: +33 1 69 82 34 51 Twitter: @apdavison https://neuropsi.cnrs.fr/en/departments/icn/group-leader-andrew-davison/

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Tutorial on "Understanding early visual receptive fields from efficient coding principles"
by Zhaoping Li 24 Jun '21

24 Jun '21

Understanding principles of efficient coding can enable you to answer questions such as: why should the input contrast response function of a neuron take its particular form? Why do retinal ganglion cells have center-surround receptive fields? How correlated or uncorrelated should the visual responses from different retinal ganglion cells be? Why do receptive fields of retinal ganglion cells increase their sizes in dim light? How could visual coding depend on animal species? Why are color selective V1 neurons less sensitive to visual motion signals? How can one predict the ocular dominance properties of V1 neurons from developmental conditions? How should neurons adapt to changes in visual environment? This tutorial guides you on how to answer such questions. It contains: (1) A list of 45 short video lecture clips (about 10 minutes each on average) on YouTube, see http://www.lizhaoping.org/zhaoping/EfficientVisualCoding_Playlist.html (2) In addition to (1), you can join CNS *2021 (see https://www.cnsorg.org/cns-2021-tutorials#T3 ), which enables social interactions with the lecturer and other students via Discord, and on July 3rd (the tutorial day) for highlights, Q&As, and discussions. best, Li Zhaoping -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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CNS*2021 Workshop: Computational approaches for studying astrocyte dynamics and astrocyte-neuron communication (July 6-7, Online)
by Marsa Taheri 23 Jun '21

23 Jun '21

Dear all, We are pleased to announce a workshop on “*Computational approaches for studying astrocyte dynamics and astrocyte-neuron communication*” at this year’s Annual Computational Neuroscience Meeting (CNS*2021). This workshop will run over 2 half-days: July 6-7 (9 am – 12:30 pm UTC-7). ------------------- *Brief Description*: Exciting experimental studies in the last decade have led to an entirely new body of work on the participation of astrocytes in normal and pathological brain function. However, the development of a solid theoretical framework to support and quantify some of the pathways has been somewhat limited, first, due to the lack of intensive collaboration between experimentalists and theorists, and second, due to a persistent neurocentrist view of brain function. Please join us to hear from an incredible lineup of speakers, bringing together specialists, theorists, and experimentalists in the field of astrocyte-neuron signaling: Yukiko Goda, Riken, Japan Alla Borisyuk, University of Utah, USA Jennifer Shih, MIT, USA Annalisa Scimemi, University of Albany, USA Guoqiang Yu, Virginia Tech, USA Laszlo Heja, Hungarian Academy of Sciences, Hungary Anup Pillai, University of Ottawa, Canada Renaud Jolivet, Université de Genève, Switzerland Max Collard, UCSF, USA Audrey Denizot, Okinawa Institute of Science and Technology, Japan Ron Refaeli, The Hebrew University, Israel Kerstin Lenk, Graz University of Technology, Austria ------------------- More information on the workshop at: https://astrocytenet.org/cns2021-online-workshop/ Register and gain access to all CNS*2021 presentations, tutorials, and workshops at: https://www.cnsorg.org/cns-2021 We look forward to your participation! *On behalf of the workshop organizers:* *Kerstin Lenk*, Institute for Neural Engineering, Graz University of Technology, Graz, Austria *Audrey Denizot*, Okinawa Institute of Science and Technology, Computational Neuroscience Unit, Onna-Son, Japan *Barbara Genocchi*, Faculty of Medicine and Health Technology, BioMediTech, Tampere University, Tampere, Finland *Suhita Nadkarni*, Indian Institute of Science Education and Research Pune (IISER Pune), Pune, India *Marsa Taheri*, Department of Neurobiology, University of California Los Angeles, CA, USA Contact information: cns2021.astro.workshop(a)gmail.com

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Software WG satellite tutorials at CNS*2021 on Bash, Git, and Python: June 28, 29 2021
by Ankur Sinha 23 Jun '21

23 Jun '21

Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is running three beginner/intermediate level satellite tutorials on Bash, Git, and Python at CNS*2021. These tutorials are on Monday and Tuesday (28/29 June). They are intended for both complete beginners and occasional/regular users who are looking to expand and refresh their skills. More information on these, including topics that we will cover can be seen on our website: https://ocns.github.io/SoftwareWG/2021/06/09/software-wg-tutorials-at-cns-2… - Effective use of Bash (Felix B. Kern): 28 June, 2021 1200 UTC - Effective use of Git (Ankur Sinha): June 28, 2021 1700 UTC - Python for beginners (Joe Graham, Shailesh Appukuttan, Ankur Sinha): 29 June, 2021 1300 UTC One can register for CNS*2021 here to gain access to excellent set of tutorials/workshops/posters and oral presentations that are being organised this year: https://www.cnsorg.org/cns-2021 More information on the Software working group, our work, how you can contact us, and how you can join us (it is open to all) is here: https://ocns.github.io/SoftwareWG/index.html On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Post-doc position on machine learning and human motion/physiological data analysis at AIST, Japan
by 平山淳一郎 23 Jun '21

23 Jun '21

Dear colleagues, We invite applications for a postdoctoral researcher position on machine learning and human motion/physiological data analysis, available at Mathematical Neuroscience Research Group, Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) (https://www.aist.go.jp/index_en.html) Japan. The successful candidate will join a collaborative project with ATR, Kyoto University and Hokkaido University on human-AI co-evolution, funded by NEDO (https://www.nedo.go.jp/english/) and conduct research on machine learning modeling and analysis of human motion data and/or related physiological signals from the brain and body, depending on his/her interests. The starting date is negotiable, with a preference for candidates who can start early. The initial appointment will be until March 2022, with the possibility of extension until March 31, 2025. Salary for the postdoctoral fellow will follow the AIST guideline. To apply, please visit https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D121020014&ln_jor=1 and send the required application documents to junichiro.hirayama(a)aist.go.jp. The deadline of application is August 31, 2021. The deadline may be extended until the position is filled. -- Jun-ichiro Hirayama Senior Researcher Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology (AIST) junichiro.hirayama(a)aist.go.jp https://staff.aist.go.jp/junichiro.hirayama

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Postdoctoral positions in the Geffen lab at the University of Pennsylvania
by Maria Geffen 22 Jun '21

22 Jun '21

The Geffen laboratory <http://hosting.med.upenn.edu/hearing> at the University of Pennsylvania <http://www.upenn.edu/> has multiple postdoctoral positions open in systems neuroscience with the broad goal of understanding the neuronal circuits for auditory perception and learning. We are looking for energetic and talented scientists interested in studying the function of the brain. The postdoctoral fellow will have the opportunity to learn and apply a host of systems neuroscience techniques, including two-photon imaging of population activity, optogenetic manipulations, large-scale electrophysiology and behavior in mice. Prior experience with some of these methods is preferred, but not required. Depending on the candidate’s interests, all projects provide an opportunity to learn and apply advanced computational methods, including dynamic systems analysis of neuronal population activity; Bayesian approaches for understanding the relation between neuronal activity and behavior; machine learning methods to understand large-scale neuronal activity. We currently have openings for postdoctoral fellows for three projects: (1) Neuronal mechanisms for predictive coding: Auditory perception relies on predicting statistics of incoming signals, be it identifying the speech of a conversation partner in a crowded room or recognizing the sound of a babbling brook in a forest. The human brain detects statistical regularities in sounds as a fundamental aspect of prediction, evidenced by reduced responses to repeated sound patterns and enhanced responses to unexpected sounds. Multiple studies demonstrate that the neuronal responses to regular signals are reduced through adaptation, which can contribute to prediction. However, adaptation alone is not sufficient to account for prediction and studies at cellular and neuronal population levels in animals thus far lend only partial support to existing theories of predictive coding. The goal of the project is to close this gap in knowledge and to determine the circuits that predict signals and detect statistical regularity and its violation in auditory behavior. Funded by NIH NIDCD. (2) Neuronal circuits for learning-driven changes in auditory perception: Everyday auditory behavior depends critically on learning-driven changes in auditory perception that rely on neuronal plasticity within the auditory pathway. By combining state-of-the-art optogenetic, electrophysiological, behavioral and computational approaches, the project seeks to identify the function of specific circuit elements in auditory learning. Funded by NIH NIDCD. (3) Neuronal mechanisms for hearing under uncertainty: In everyday life, because both sensory signals and neuronal responses are noisy, important cognitive tasks, such as auditory categorization, are based on uncertain information. To overcome this limitation, listeners incorporate other types of signals, such as the statistics of sounds over short and long time scales and signals from other sensory modalities into their categorization decision processes. This project will identify the contribution of specific cell types to categorization and the neuronal mechanisms for how contextual signals bias auditory categorization. In collaboration with Dr. Yale Cohen <https://auditoryresearchlaboratory.weebly.com/> and Dr. Konrad Kording <http://kordinglab.com/>, funded by NIH BRAIN Initiative. Our laboratory is a close community of fun-loving scientists, striving to help each other while exploring the mysteries of the brain. Our trainees have won numerous awards and have been awarded government and private foundation grants. We value diversity and promote equity in the scientific community and beyond <https://hosting.med.upenn.edu/hearing/philosophy/>. The systems neuroscience community at the University of Pennsylvania is top-notch and highly collaborative, and postdoctoral fellows will have opportunities to engage in interdepartmental initiatives, including MindCore <https://mindcore.sas.upenn.edu/>, MINS <https://www.med.upenn.edu/ins/> and CNI <https://www.cni.upenn.edu/>. Penn has a gorgeous campus and offers many cultural activities. Philadelphia is a beautiful city with world-class music, food and entertainment. To apply, please email Dr. Geffen at mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> : a cover letter (summarize your prior research experience, why you are interested in the position, and your future plans) and your CV. __________________________ Maria N. Geffen, Ph.D. (she/her) Associate Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu http://hosting.med.upenn.edu/hearing Twitter: @neimarkgeffen

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Three Assistant Professor Positions at University of Sussex
by Thomas Nowotny 22 Jun '21

22 Jun '21

Dear all, The School of Engineering and Informatics at the University of Sussex is seeking to hire three Assistant Professors (“Lecturers”, permanent position) in Computer Science and AI. One of the positions is particularly focused on a researcher with interests in one or more of the following areas: machine learning, ethical AI, computational Neuroscience, complexity science, consciousness science and bio-inspired AI and robotic control. They should be able to teach general subjects in Computer Science and Artificial Intelligence at Undergraduate and Taught Postgraduate levels. They will work within the Artificial Intelligence Research Group, including opportunities to interact with the robotics group in the Department of Engineering. The AI Research Group at the University of Sussex was created through the merger of the Evolutionary and Adaptive Systems (EASy) and the Data Science groups. We conduct research and teach a wide range of AI related topics, often cross-disciplinary and with a unique Sussex angle. We collaborate internationally and locally with academics, businesses, and public stakeholders, working at the frontiers of knowledge, on solving real-world problems, and in policy and public outreach. Applications should be accompanied by a full CV, and statements of future research plans and ways in which the applicant could contribute to teaching across the School. Please contact Dr Ian Mackie I.Mackie(a)sussex.ac.uk<mailto:I.Mackie@sussex.ac.uk> , Head of the Department of Informatics, for informal enquiries. The full job advert is posted at https://t.co/K0CdIYx6xH?amp=1 including a detailed person specification and details how to apply. Please get in touch if you are interested in these positions and forward to any interested colleagues. Kind regards, Thomas -- Prof Thomas Nowotny Head of the AI Research Group Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873

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Post-doc / research associate position in neural reinforcement learning using causal models (Sheffield, UK, 33 months, deadline 4th July)
by Aditya Gilra 22 Jun '21

22 Jun '21

Dear All, We're looking for a post-doc / research associate to work on bio-plausible neural networks that learn causal models of the environment and utilize these to plan and explain actions in reinforcement learning. The position is for 33 months at the University of Sheffield, UK. Read more at: https://www.chistera.eu/projects/causalxrl . Apply via (deadline: 4th July): https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG… Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra

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WWNeuRise series on neuromodulation & applications/recommendations
by William Podlaski 21 Jun '21

21 Jun '21

WorldWideNeuRise will host several online talks throughout June-July on the topic of neuromodulation in the brain from the following speakers: Wednesday, 30 June, 5pm CET Lindsay Collins (McCormick Lab, University of Oregon, USA) Cristina Colangelo (Blue Brain Project, EPFL, Switzerland) Wednesday, 14 July, 5pm CET Jasmine Pickford (Apps Lab, University of Bristol, UK) Luke Coddington (Dudman Lab, Janelia Research Campus, USA) Wednesday, 28 July, 5pm CET Rohan Sharma (Suhita Lab, IISER Pune, India) Ines Guerreiro (Gutkin Lab, Ecole Normale Superieure, France) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are actively searching for PhD students and postdocs to give talks in our upcoming seminar blocks. On our website (https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Ellen Boven (Apps lab, University of Bristol) Christina Buetfering (Häusser lab, University College London) Lucie Descamps (Kentros lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Clopath lab, Imperial College London) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud Research)

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NeuroML hands-on satellite tutorial at CNS*2021 on July 2nd 2021 at 1500 UTC
by Ankur Sinha 21 Jun '21

21 Jun '21

Dear all, Apologies for the cross-posts. We will be running a half day satellite tutorial at the 30th annual meeting of the Organization for Computational Neurosciences (OCNS), CNS*2021 Online. The tutorial will be held on July 2nd, 2021 at 1500 UTC. https://docs.neuroml.org/Events/202107-CNS2021.html The goal of the tutorial is to teach users to build, visualise, analyse, and simulate models using NeuroML. Why take part? --------------- This tutorial is aimed at new and current NeuroML users. We will start with a quick introduction to the NeuroML standard and the associated software ecosystem, after which we will proceed to conduct hands-on sessions to show how one can build computational models with NeuroML. Times and dates ---------------- - Friday 2nd July 1500 UTC Click here for your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=NeuroML+tutorial+… Registration ------------- To take part in the tutorial, please register here for the CNS*2021 meeting: https://www.cnsorg.org/cns-2021 Pre-requisites --------------- The sessions will make use of the NeuroML Python tools. Please follow the documentation to install them on your system if you wish to use them locally: - PyNeuroML: https://docs.neuroml.org/Userdocs/Software/pyNeuroML.html#pyneuroml - libNeuroML: https://docs.neuroml.org/Userdocs/Software/libNeuroML.html#libneuroml You can also use the interactive Jupyter notebooks from the documentation if you prefer (example: https://docs.neuroml.org/Userdocs/NML2_examples/SingleNeuron.html) These can be run on Binder and Google Collab in your web browser and do not require you to install anything locally on your computer. Slack ----- To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please contact Padraig Gleeson (p DOT gleeson AT ucl DOT ac DOT uk) or Ankur Sinha (ankur DOT sinha AT ucl DOT ac DOT uk) for an invite. You can also contact the NeuroML community using one of our other channels: https://docs.neuroml.org/NeuroMLOrg/CommunicationChannels.html#contact-chat We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Q&A about INCF activities and membership
by Helena Ledmyr 21 Jun '21

21 Jun '21

Hello! Are you an open neuroscience practitioner or want to become one? Do you want to have input on global strategies for data sharing in neuroscience? Join the INCF network! INCF directors Helena Ledmyr and Mathew Birdsall Abrams will answer all your questions about INCF participation in our webinar on June 29th at 10am EDT / 4pm CEST, where long-time community member Samir Das (McGill U) will reflect on how he has benefited from membership. Register at bit.ly/INCFwebinar Information about INCF and memberships can be found on our website <https://www.incf.org/>. All the best, Helena Ledmyr ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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Assistant professor position in Göttingen, Germany
by Ecker, Alexander 21 Jun '21

21 Jun '21

We have an opening for an assistant professor position for ML/CV for biomedical applications in the computer science department at the University of Göttingen, Germany. Application deadline it July 11. For details see below or at https://www.uni-goettingen.de/en/645470.html The Faculty of Mathematics and Computer Science at the Georg-August-University of Goettingen invites applications for a Sartorius AG Endowed Junior Professorship W1 – „Computational Cell Analytics“ (all genders welcome) The junior professorship will be part of the "CIDAS-Sartorius lab for AI-based high-throughput analysis of cell systems" and will actively contribute to its further development. In the CIDAS-Sartorius Lab, we will develop novel data analysis methods to obtain scientific insights from observations of cell systems in various areas of the life sciences. It is a collaboration between the Campus Institute Data Science (CIDAS), the Institute for Computer Science, the University Medical Center Goettingen and Sartorius AG. The junior professorship will also be part of the Campus Institute Data Science (CIDAS) and contribute to its development. CIDAS is a central institution of the University of Goettingen and works closely with the partners of the Goettingen Campus such as the University Medical Center, several Max Planck Institutes, the German Primate Center, the Academy of Sciences and the German Aerospace Center Goettingen. The junior professorship is thus optimally integrated into Goettingen's top-notch life science research environment. The future holder of the position should have expertise in computer science with a focus on machine learning/deep learning and/or computer vision. The professorship contributes to the development of new analytical methods and their application in the field of cell analysis. Possible research foci are among others: - Computer vision in biomedical imaging - Biomedical image processing - Image based cell and biomolecular analytics - Methods for object recognition and image segmentation - Large-scale machine learning & deep learning - Nonlinear and dynamic prognosis models for the description and prediction of complex, nonlinear processes in cell models The candidate should have a track record of internationally competitive high-quality research and a high potential for groundbreaking research in internationally visible projects. The candidate is expected to contribute to teaching in the data science programs. Goettingen University is committed to research-oriented teaching. Applications of international scientists are highly encouraged. The University is an equal opportunity and family friendly employer. We specifically encourage women to apply. Disabled persons with appropriate qualifications and aptitude for the position will be given special consideration. Applications including CV, publications list and details of teaching and research including funded research projects should be submitted by 11 July 2021 online via the application portal: https://tinyurl.com/44r336yn For further information please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science: ecker(a)cs.uni-goettingen.de. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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PhD Studentship in Improving medication verification for cancer patients
by Shangming Zhou 20 Jun '21

20 Jun '21

Dear All, *PhD Studentship in Improving medication verification for cancer patients: An AI driven population health study* Applications are invited for a three-year PhD studentship. The studentship will start on* 1 October, 2021, *or as soon as possible after that. *Overview of the Studentship* This fully funded PhD studentship is based at the University of Plymouth’s Centre for Health Technology <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>, a leading international research group focused on the design, development and implementation of health technology innovations in health and care. This vibrant team of researchers work within the intersection of digital health, software engineering, data science, clinical artificial intelligence, and innovation strategy, with a primary aim to create a global hub for technology incubation in the South West of the United Kingdom. *Project Description* Medication errors, including those in prescribing, dispensing, or administration of a drug, are the single most preventable cause of patient harm. They have a significant impact on the efficiency of the workflow in pharmacy, raise safety concerns for patients, and result in a financial burden on the healthcare systems. Within cancer treatment, emphasis on reducing the number of medication errors has been an active research area for many years, with understanding that interdisciplinary approaches are vital to assure continuous improvement. Opportunities created by the reduction of transaction times for complex computational processes and use of machine learning to support clinical decision making, create a potential catalyst for the development of tools for reduction in medication errors. This PhD studentship offers an exciting opportunity of exploring AI and machine learning with large clinical data sets residing within electronic health records to create methods to assure the effective use of systemic anticancer treatment (including traditional cytotoxic chemotherapy, immunotherapy, novel oral therapies etc.) without compromising patient safety. The studentship will require application of interdisciplinary skills to enable cooperation between the research, clinical, industry and patient communities in the development of a novel approach which could enhance clinical outcomes. *Supervision Team* - Professor Shang-Ming Zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> (shangming.zhou(a)plymouth.ac.uk) https://scholar.google.com/citations?user=iWiXGWMAAAAJ&hl <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> - Dr Edward Meinert (edward.meinert(a)plymouth.ac.uk) https://scholar.google.com/citations?hl=en&user=7V-WsrwAAAAJ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> - Mrs Andrea Preston (Andrea.Preston(a)uhbw.nhs.uk) This PhD student will be academically advised by Professor Shang-Ming Zhou and Dr Edward Meinert, research scientists with research interests in applied artificial intelligence and machine learning, computing science in health and care. The student will also be advised by Mrs Andrea Preston, a Macmillan Divisional Lead Haematology & SW Cancer Commissioning Pharmacist. This supervision team will assure the execution of a world-class PhD embedded into the wider digital health ecosystem at the University of Plymouth. *Eligibility* · This PhD studentship is offered for UK and international applicants. · Applicants should have: 1) A first or upper second-class honours degree, and a relevant Master’s qualification in Computing Science, Data Science, Statistics, Health Informatics, Medical Informatics, Bioinformatics, or any areas related; 2) Interest in working with real-world problems and large data sets; 3) Excellent proficiency in English and outstanding communication skills; 4) Strong analytical and programming skills; 5) A “can do”, positive attitude with an aspiration to change the world. · Experience in machine learning is advantageous. · Experience in publication of peer-reviewed literature is desirable. *International Students* International applicants should meet the English language requirements, please see the details from the University’s website https://www.plymouth.ac.uk/international/how-to-apply/english-language-requ… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>. IELTS Academic 6.5 or above (or equivalent) with 5.5 in each individual category is commonly required by the University’s Doctoral College. *How to Apply* *To apply for this position,* please visit: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/postg… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>. *Please clearly state the name of the studentship that you are applying for on your Personal Statement.* A research proposal is required. Please see: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/appli… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> for a list of supporting documents to upload with your application. *Enquiry * If you wish to discuss this project further informally, please contact Professor Shang-Ming Zhou (shangming.zhou(a)plymouth.ac.uk) Dr Edward Meinert (edward.meinert(a)plymouth.ac.uk) or Mrs Andrea Preston ( Andrea.Preston(a)uhbw.nhs.uk) For more information on the admissions process, please contact doctoralcollege(a)plymouth.ac.uk. *Closing Date* *The closing date for applications is 30 July 2021. *Shortlisted candidates will be invited for interview. Best wishes Shangming Zhou _______________________________________________________ Shang-Ming Zhou Professor in e-Health, Fellow of the Higher Education Academy, Centre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK Tel: +44 (0)1752 586513 Email: shangming.zhou(a)plymouth.ac.uk ; smzhou(a)ieee.org https://www.plymouth.ac.uk/staff/shang-ming-zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> https://www.hdruk.ac.uk/people/dr-shang-ming-zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.hdruk…> https://www.plymouth.ac.uk/research/centre-for-health-technology <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>

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BrainCosmos Summer School on Neural Circuit Complexity from Aug 30-Sep 3
by Shyam Diwakar 19 Jun '21

19 Jun '21

Dear Fellow Neuroscientists and Students, We would like to welcome you to a BrainCosmos Summer School titled "Neural circuit complexity: Neuroscience, Models and Robotics - Where do they lead?" organized at Lake Como, Italy from August 30-September 3, 2021. For more info: https://brco.lakecomoschool.org/ <https://brco.lakecomoschool.org/> The BrainCosmos summer school focuses on the study of the brain, neuroscience of circuits and behavior in micro and macro scales, models, experiments, alongside topics of robotics and artificial intelligence and a perspective on brain diseases. The school primarily targets PhD students across all research disciplines, but applications from professionals, masters students and post-doctoral researchers are welcome as well. The School will also cater to early career researchers in Neuroscience and will aim to promote critical thinking within the field and beyond. The scope covers a very wide range of topics that we believe to be of interest to many fields related to neuroscience, modeling, robotics and artificial intelligence. PARTICIPATION: The school will run in parallel with two simultaneous batches, one in presence (20 participants) and another remotely (20 participants). The lectures will be streamed. APPLY: https://brco.lakecomoschool.org/application/ FEES: There are some nominal fees for participation. In presence attendance: € 120, 22% VAT included (including lunches, coffee breaks, and all lectures and school materials). Online attendance: €100, 22% VAT included (including the possibility to participate remotely to all the lectures given during the school and to the related initiatives, and to have access to the recordings of the lessons from the school portal for a period of three months after the end of the school. KEY DATES Application deadline: July 20 Acceptance notification: July 23 Registration (only accepted students): August 3 Confirmed FACULTY list: Anna Letizia Allegra Mascaro - LENS, Florence, Italy Alberto Antonietti - EPFL, Swiss Silvia Casarotto – University of Milan, Italy Claudia Casellato - University of Pavia, Italy Marco Dal Maschio – University of Padoa, Italy Egidio D'Angelo - University of Pavia, Italy Damien Depannemaecker - CNRS, Paris, France Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India Kenji Doya – Okinawa Institute of Science and Technology Graduate University, Japan Claudia Gandini Wheeler-Kingshott - University College London, UK & University of Pavia, Italy Alice Geminiani - University of Pavia, Italy Michele Giugliano – SISSA, Trieste, Italy Alberto Mazzoni - Scuola Superiore Sant’Anna Pisa, Italy Michele Migliore - CNR Palermo, Italy Fulvia Palesi – BCC Pavia, Italy Alessandra Laura Giulia Pedrocchi - Politecnico Milano, Italy Michele Piana - University of Genoa, Italy Isabella Pozzi - CWI, Amsterdam Holland Simone Sarasso – University of Milan, Italy The School DIRECTORS: Giovanni Naldi - University of Milan, Department of Environmental Science and Policy, Italy. giovanni.naldi(a)unimi.it<mailto:giovanni.naldi@unimi.it> Thierry Nieus - University of Milan, Italy. thierry.nieus(a)unimi.it<mailto:thierry.nieus@unimi.it> Simone Sarasso - University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, Italy. simone.sarasso(a)unimi.it<mailto:simone.sarasso@unimi.it> Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India. shyam(a)amrita.edu<mailto:shyam@amrita.edu> Please feel free to circulate! With best wishes, -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgi…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information.

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Job: Editor with Nature Machine Intelligence (9 month locum position - London, NY, Berlin)
by Yann Sweeney 18 Jun '21

18 Jun '21

Dear all, Nature Machine Intelligence are looking to recruit a locum editor. We are a new Nature Research journal that launched in 2019. It publishes both fundamental and applied research in a wide range of areas in artificial intelligence and robotics. The journal incorporates elements of computer science, electrical engineering, mathematics, physics, neuroscience, cognitive science and psychology. The journal also publishes news, commentary and perspectives on the impact of machine intelligence on science and society. We are inviting applications from those with a background in any of the above and related fields. Applicants should have completed a PhD, have a strong research record, feel driven to continually learn about new fields and trends and have a keen interest in exploring the wide implications of research on other scientific areas, industry and society. We would be interested in hearing from candidates who can demonstrate strong science writing skills. Editorial experience is not required, although applicants with significant editorial experience are encouraged to apply and will potentially be considered for a Senior Editor position. The successful candidate will report to the Chief Editor. They will participate in all aspects of the editorial process, including manuscript selection, commissioning and editing News and Views, Comments, Perspectives and Reviews, as well as writing for the journal. The successful candidate must be dynamic and outgoing, and have excellent communication and interpersonal skills. A key aspect of the job is liaising with the research community through laboratory visits and international conferences, and therefore a willingness to travel is essential. The position is offered on a full-time basis, for an initial fixed term of 9 months, and will ideally be located in our London, Berlin or New York office. The starting date is envisaged as soon as possible within the next few weeks. Full advert here, apply by 22 June: https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=33925&company… Feel free to email with informal inquiries. All the best, Yann Senior Editor Nature Machine Intelligence yann.sweeney(a)nature.com

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Postdoc opportunity at Stanford Cognitive and Systems Neuroscience Laboratory
by Mai-Phuong K Bo 18 Jun '21

18 Jun '21

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for post-doctoral positions with expertise in cognitive, systems and computational neuroscience. Candidates must have a PhD and research experience in cognitive neuroscience, psychology, cognitive science, computer science, electrical/biomedical engineering, or related fields. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of human brain function and psychopathology. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs. We are especially interested in talented and highly motivated individuals with expertise in at least one of these areas: cognitive neuroscience; computational psychiatry; cognitive modeling of behavioral dynamics; computational and statistical analysis of brain imaging and electrophysiological data, including dynamic brain circuit analysis, statistical modeling and Bayesian inference, machine learning, and deep neural networks. Please email your CV and a statement of research interests, explaining how your skills and past experience will advance human neuroscience research, to Prof. Menon at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:461d2e43-3a74-4692-8e70-e709a54c2c86]

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Postdoc position at Inria Sophia Antipolis
by Etienne Tanré 17 Jun '21

17 Jun '21

Dear colleagues, Apologies for Cross-Posting, This is an announcement for a 24 months post-doctoral position at Inria Sophia Antipolis on the theme ``Heterogeneity in interacting neural networks'’. The candidate will be supervised by E. Tanré, R. Veltz and O.Faugeras. This project is part of the Human Brain Project HBP SGA3. More information is available on : https://jobs.inria.fr/public/classic/en/offres/2021-03818 <https://jobs.inria.fr/public/classic/en/offres/2021-03818> Please note that you must apply for the position using the link above. Can you please forward this announcement to your interested contacts? Thank you, Best regards, E. Tanré, R. Veltz and O. Faugeras.

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Opening: Postdoctoral Researcher in Computational Neuroscience to study network dynamics, brain function, and psychedelics
by Joern Davidsen 16 Jun '21

16 Jun '21

Dear all: We are recruiting a talented postdoctoral researcher to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and emergent activity patterns and representations that drive biological computation. The specific objective is to understand cognitive brain function and the effects of psychedelics by analyzing large-scale ensemble neural data collected in our labs, in conjunction with computational and/or analytical work to identify key mathematical principles and develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. This postdoctoral position is partially funded by the Pacific Institute for Mathematical Sciences<https://www.pims.math.ca/> and is aimed to strengthen the link between the Campus Alberta computational neuroscience community at the University of Calgary (Complexity Science Group<https://www.ucalgary.ca/complexity/>, Hotchkiss Brain Institute<https://hbi.ucalgary.ca/>) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience<https://www.uleth.ca/artsci/neuroscience/about>) with the other network members including the Computational Neuroscience Center<https://cneuro-web01.s.uw.edu/> at the University of Washington. The position is open immediately with primary locations in either Calgary or Lethbridge. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin July 31st, 2021, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

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PostDoc position in Neuroinformatics, Nijmegen, The Netherlands
by Rembrandt Bakker 16 Jun '21

16 Jun '21

(apologies for any cross-postings) The FLAG-ERA project NeuronsReunited is looking for a postdoctoral research associate (Neuroinformatics/Computational Neuroscience) for a 2 year position at 0.9 fte. Each mental event or voluntary motor act involves the coordinated activity of neurons in areas of the brain far apart. Thin, branched and extremely long cellular processes called axons provide the physical substrate of these interactions. Since a few years it is possible to fully trace these long- range axons one at a time. The goal of the FlagERA research project "NeuronsReunited" (https://www.flagera.eu/wp-content/uploads/2020/06/FLAG-ERA_JTC2019_HBP_Neur…) is to create tools for speeding up the conversion of experimental data into digital axons, and to precisely place neurons into a digital reference brain to reveal their context. The tools are applied to existing and new data in mouse, and the resulting insights are incorporated into new models for brain function. The project is a collaboration between five international partners, two experimental partners (Prof. Francisco Clasca, Madrid; Prof. Egidio d'Angelo, Pavia) and three computational/theoretical partners (Prof. Paul Tiesinga, Dr. Rembrandt Bakker, Nijmegen; Prof. Michele Giugliano, Trieste; Prof. Sacha Van Albada, Jülich). As a postdoctoral research associate you will design strategies to get axonal arbors precisely registered in a brain atlas. The brain atlas consists of high-resolution 3d dataset that represents the average mouse brain anatomy, while the neuron consists of a vector representation of its morphology that can be extended with images of selected tissue sections. Depending on your field of expertise, further steps can focus on automating the process to trace neurons from stained tissue sections or to integrate the resulting database of precisely registered neurons with other data modalities to generate new knowledge. You will be part of a team that deals with atlasing and data integration (Nijmegen) and model building (Jülich, Padova, Trieste). A key deliverable will be the creation of a gold standard online catalog of precisely placed neurons that future generations of neuroscientists can contribute to and compare data to. The tools make use of an existing body of work that consists of web-based applications: HBP Morphology Viewer (https://neuroinformatics.nl/HBP/morphology-viewer) Scalable Brain Atlas (https://scalablebrainatlas.incf.org/) and interactive notebooks (Python). Besides being a member of the project team, you will also be part of the European Human Brain Project and have access to the expertise of the large neuroscience community at the Donders Institute for Brain, Cognition and Behavior. We ask: • A PhD degree in a quantitative field (engineering, physics, computational neuroscience, etc). • Expertise in neuroscience or interest in acquiring it. • Excellent programming skills, preferably in JavaScript applications or Python-based pipelines. • Experience with neuroinformatics, visualization/3d-graphics, image processing, and/or machine learning. • Demonstrated ability to work in a multidisciplinary environment at the forefront of science. • Excellent communication skills in spoken and written English. We are: The Donders Institute for Brain, Cognition and Behaviour, home to more than 600 researchers from 35 countries, is a world-class research centre devoted to understanding the mechanistic underpinnings of human cognition and behaviour in health and disease. The institute's mission includes conducting excellent interdisciplinary research at the unique interface between genetic, molecular and cellular processes at one end and computational, system-level neuroscience with cognitive and behavioural analysis at the other end. Within this playing field, the Neuroinformatics department plays an essential role in developing new approaches for both computational modeling and data processing, all with the aim to turn raw data into highly valuable and well-integrated resources from which neuro-scientific insights can be extracted. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 22,000 students and 5,000 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer: • Employment: 0.9 FTE. • A maximum gross monthly salary of € 4,402 based on a 38-hour working week (salary scale 10). • The exact salary depends on the candidate's qualifications and amount of relevant professional experience. • In addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus. • Duration of the contract: 25 months. • The intended start date is 1 September 2021. • You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. • Have a look at our excellent employment conditions. They include a good work-life balance (among other things because of the excellent leave arrangements), opportunities for development and a great pension scheme. Apply directly Please use this link to apply: https://www.ru.nl/english/working-at/vacature/online-solliciteren/?tk=uk&re…. Address your application to Paul Tiesinga and submit it no later than 1 July 2021. Your application should include the following attachments: • Letter of motivation. • CV including contact details of two references. • Your research statement. The first round of interviews will take place on 6th July 2021. The second round of interviews will take place on 13th July 2021. For more information about this vacancy, please contact: Paul Tiesinga, Full Professor Tel.: +31 24 365 22 32 Email: p.tiesinga(a)science.ru.nl<mailto:p.tiesinga@science.ru.nl> Rembrandt Bakker, Postdoctoral Researcher Tel.: +31 24 365 26 33 Email: r.bakker(a)donders.ru.nl<mailto:r.bakker@donders.ru.nl> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoctoral position - Pinto Lab @ Northwestern University
by Lucas Pinto 15 Jun '21

15 Jun '21

Dear colleagues, The Pinto Lab<http://www.pintolab.org> is seeking a postdoc who is excited about studying how neural circuits across many brain areas interact to support decision making, at the interface between experimental and computational neuroscience. In particular, the lab is interested in understanding the circuit mechanisms the control how these interactions are flexibly reconfigured when animals make decisions that use different underlying computations. To answer these questions, the candidate will use a combination high-throughput behavior in virtual reality, optical and genetic tools to measure and/or manipulate the dynamics of single neurons and neuronal populations, and computational approaches to understand both the behavior and its relationship to neural activity. We are a brand new lab that started in January 2021 at the Feinberg School of Medicine<https://www.feinberg.northwestern.edu/> at Northwestern University<http://www.northwestern.edu>, located in the heart of Chicago. Come join a vibrant neuroscience community<https://www.nuin.northwestern.edu/> in a world-class and highly livable city, working with a young PI committed to mentoring. Please visit our website<http://www.pintolab.org> for more details. Applicants should be nearing completion or already hold a PhD in neuroscience, biology, engineering, computer science, psychology or other related fields. Coding and/or experimental skills are preferred, but the applicant will have the opportunity to be trained in these techniques. We strongly encourage candidates from underrepresented groups to apply. Please send a CV, a one-page statement of research interests and skills, and contact information for 2-3 references to Lucas Pinto at lucas.pinto(a)northwestern.edu<mailto:lucas.pinto@northwestern.edu>. Best, Lucas - - - - - - - - - - - - - - - - - - - - - - - - - - - Lucas Pinto, M.D., Ph.D. Assistant Professor Department of Physiology Feinberg School of Medicine Northwestern University lucas.pinto(a)northwestern.edu<mailto:lucas.pinto@northwestern.edu> www.pintolab.org

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NEST Conference 2021 — Registration Deadline 21 June
by Hans Ekkehard Plesser 15 Jun '21

15 Jun '21

Dear all, Just a little reminder that the registration deadline for the NEST Conference 2021 is on Monday next week, June 21. More information on the programme and how to register can be found on the conference website https://nest-simulator.org/conference This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We are looking forward to seeing you all! Hans Ekkehard Plesser & many more -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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INCF/OCNS Software WG Dev session on SciUnit/NeuronUnit (June 21, 1600 UTC)
by Ankur Sinha 14 Jun '21

14 Jun '21

Dear all, Apologies for the cross posts. The INCF/OCNS Software WG[1] is happy to announce the next Dev Session where members of the developer teams of commonly used neuroscience software introduce their software and then discuss their *development* pipelines. ---- In the next Dev Session, Rick Gerkin will introduce the SciUnit framework and discuss its development: https://ocns.github.io/SoftwareWG/2021/06/04/dev-session-rick-gerkin-sciuni… The session will be held at June 21, 2021, 1600 UTC over Zoom: https://ucl.zoom.us/j/91246735902?pwd=WVdVK3I5SGdlaDFZdllDQ0w2djVBdz09 Click here to see the event in your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Ri… SciUnit is a discipline-agnostic framework for model validation, handling all of the testing workflow by using a implementation-independent interface to models. SciUnit also contains code for visualization of model results, and command line tools for incorporating testing into continuous integration workflows. SciUnit is used in model validation in neuroscience via NeuronUnit, which implements an interface to several simulators and model description languages, handles test calculations according to domain standards, and enables automated construction of tests based on data from several major public data repositories. ------- The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG on our communication channels[2]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://ocns.github.io/SoftwareWG/ [2] https://ocns.github.io/SoftwareWG/pages/contact.html On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Postdoc on Alzheimer's Disease modeling (Inria, UCL, BCAM)
by desroche 14 Jun '21

14 Jun '21

Dear all, This is an invitation to join a multidisciplinary research on Alzheimer’s Disease (AD) for a 24-month postdoc. The project aims at combining mathematics and novel experiments to better understand the causes of the progressive symptoms of memory impairment in persons living with AD. Despite progress, AD research has hit a bottleneck and to date there are no effective treatments to prevent AD. It is now recognised that this is partially due to limitations in AD mice models that do not recapitulate human AD, to conflicting results and research focus on molecular mechanisms. We aim to overcome these limitations by exploring a gab in our understading of abnormal synaptic process (including neural-glia, inflammatory processes) and neural tissue dynamics that lead to AD. To this end, we will combine state-of-the-art experiments based on human brain tissue data, recent mice model that recapitulate human AD, mathematics and computations, which in tandem will address the multi-factorial nature of the disease for future successful drug development. The project is part of a long-standing collaboration between Mathieu Desroches (MathNeuro Project-Team, Inria Sophia Antipolis, France), Serafim Rodrigues (MCEN research group, Basque Center for Applied Mathematics, Bilbao, Spain) and Afia B Ali (School of Pharmacology, University College London, UK) on neurotransmission and its possible disruptions (see here <https://www.pnas.org/content/113/8/E1108.short>). The postdoc will strongly interact with these three researchers. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience. Experience with multiple-timescale systems is wishable but not mandatory. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://recrutement.inria.fr/public/classic/fr/offres/2021-03775 <https://recrutement.inria.fr/public/classic/fr/offres/2021-03775> For informal enquiries, please contact me: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr> --------------------------------------------------------------------- Dr. Mathieu Desroches Research Scientist (Chargé de Recherche) MathNeuro Project Team Leader <https://team.inria.fr/mathneuro/> Inria Sophia Antipolis - Méditerranée, France http://www-sop.inria.fr/members/Mathieu.Desroches/ <http://www-sop.inria.fr/members/Mathieu.Desroches/>

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CFP Workshop on Spatio-temporal Aspects of Embodied Predictive Processing @ ICDL2021
by Stefan Heinrich 14 Jun '21

14 Jun '21

Call For Contributions - Workshop on Spatio-temporal Aspects of Embodied Predictive Processing @ IEEE ICDL2021 Aims and Scope: Understanding human intelligence and building strong AI systems is a key challenge for our generation. A particularly puzzling aspect is that the human brain seems to cope very well with the highly variable and uncertain nature of perception and action, regarding both their signal characteristic and how they extend over time. Furthermore, it seems apparent that the information processing in the brain always involves previous bodily experiences and all our senses, thus is embodied and crossmodal. For explaining these characteristics, there are strong accounts that the brain is constantly predicting sensory input and feedback while minimising free energy in the prediction and is hierarchically abstracting the perception as well as hierarchically composing action. Furthermore, it is also hypothesised that mechanistic priors in the brain’s information processing induce a failure of hierarchical inference in the brain, accounting for atypical perception and action of psychiatric disorders. For example, some brains might have developed to focus too strongly on current sensory input while others might focus too strongly on memorised previous experience. A typically developed brain, in contrast, would show a fine balance compared to these two extreme priors. The big open mystery is: how is the brain developing this on a mechanistic level and thus how can this get learned within an AI system? Thus, to lift this mystery, we further need to bring together research from computational neuroscience, cognitive psychology, and artificial intelligence. With this workshop, we particularly want to wrap up different recent hypotheses, models, and experiments and discuss in-depth how to shape future imaging, behavioural, and developmental robotics studies as a complement to computational modelling and bio-inspired artificial intelligent algorithms. As a guiding theme, we aim to approach the following central questions: - How does the brain learn spatio-temporal stochasticity in perception and action? - What is the role of priors in learning spatio-temporal adaptive prediction? - How can developmental robotics help us to study spatio-temporal stochasticity as an analogy to infant learning? We examine these questions with the insight from invited key speakers from complementary fields as well as original contributions in breakout sessions in order to conclude the next steps within in a panel discussion. All information online: https://sites.google.com/view/stepp21/home Keynotes/Panellists: - Jun Tani, Cognitive Neurorobotics, Okinawa Institute of Science and Technology (OIST) - Marcel van Gerven, Artificial Cognitive Systems, Donders Institute, Radboud University - Takuya Isomura, Brain Intelligence Theory, RIKEN Center for Brain Science - Takamitsu Watanabe, Brain Network Dynamics, International Research Center for Neurointelligence (IRCN), The University of Tokyo Contributions: We invite submissions of extended abstracts on ongoing research that focuses on one or several of our guiding questions as contributions. In addition to the live presentation and discussion during the workshop, the contributions will be made public in workshop proceedings. - Extended abstract submission deadline: 11.07.2021 - Decision & Notification: 25.07.2021 - Camera-ready version due: 08.08.2021 - Workshop online: 22.08.2021 Submission website: https://sites.google.com/view/stepp21/ => Contribute Organisers: Stefan Heinrich, IRCN, The University of Tokyo, Japan Shingo Murata, Dept. Electronics and Electrical Engineering, Keio University, Japan Yukie Nagai, IRCN & Institute for AI and Beyond, The University of Tokyo, Japan Yuichi Yamashita, National Center of Neurology and Psychiatry, Japan -- ************************************************************* Dr. Stefan Heinrich Postdoctoral Project Researcher Cognitive Developmental Robotics Lab The University of Tokyo, Institutes for Advanced Studies, International Research Center for Neurointelligence Email: heinrich.stefan(a)ircn.jp https://developmental-robotics.jp/en/members/stefan_heinrich/ https://ircn.jp/en/ https://stefanheinrich.net/ *************************************************************

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Multiple postdoctoral openings in reinforcement learning in multi-scale brain networks at Washington University in St. Louis
by Ching, ShiNung 14 Jun '21

14 Jun '21

Multiple postdoctoral openings in modeling reinforcement learning in multi-scale brain networks at Washington University in St. Louis Multiple postdoctoral openings are available for a new and large, multi-PI project to study the circuit underpinnings of reinforcement learning and decision-making. A key focus is on understanding multiple time-scales of information processing in neural circuits and involvement of neuron-astrocyte interactions. Experiment- and theory-forward positions are available. Applicants should have prior experience in neuroscience (computational or otherwise), modeling of large-scale systems, optimization, machine learning or related areas. Positions will be cross-appointed between Engineering and Neuroscience. Washington University in St. Louis is an independent, Research 1 university in St. Louis, MO, USA, with nearly 60 of the university's graduate and undergraduate programs ranked in the top 25 by US News & World Report. www.wustl.edu Interested applicants are invited to send a CV and brief description of interests to ShiNung Ching: shinung(a)wustl.edu

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EITN Seminar: Paul Miller (Brandeis U, Waltham MA, USA) - Friday 18 June 16:00
by Zélie Tournoud 14 Jun '21

14 Jun '21

Dear colleagues, We are pleased to welcome *Paul Miller* from Brandeis University (Waltham MA, USA) for an online seminar this week. It will take place on Zoom on *Friday 18 June at 16:00* CEST (Paris time). *Title**: **Information processing in neural circuits with multiple quasi-stable attractor states* *Abstract: *Circuits containing clusters of neurons with strong within-cluster excitatory connections and random between-cluster connections can possess multiple activity states, with each state defined by the set of clusters with stably high versus low neural firing rates. Noise or adaptive processes can render the states quasi-stable such that in the presence of constant input, or following successive identical inputs, the network can progress through a sequence of different activity states. Here we study the properties of such models, including the role of finite size effects in producing multistability in networks with Gaussian random cross-coupling, and we assess the extent to which such state sequences might subserve information processing and behavior in a range of cognitive tasks. Join on the day on the event at: > Topic: EITN seminar: Paul Miller (Brandeis University) > Time: 18 June 2021 04:00 PM Paris (CEST) > Join Zoom meeting: > https://zoom.us/j/99754103845?pwd=UGlHSjgySTBXeUtvSW5SVUVMRnFiZz09 > <https://zoom.us/j/99754103845?pwd=UGlHSjgySTBXeUtvSW5SVUVMRnFiZz09> > Meeting ID: 997 5410 3845 > Password: 634477 We look forwards to see you at the seminar. Kind regards, The EITN Team

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Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems
by Andrea Soltoggio 14 Jun '21

14 Jun '21

Dear Connectionists, I’d like to bring your attention to the Research Topic “Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems” to be co-hosted by Frontiers in Neuroscience, Robotics and AI, Big Data, Artificial Intelligence, Neurorobotics and Computational Neuroscience. The article submission deadline is the 30th of September. Link: https://www.frontiersin.org/research-topics/20053/adaptive-machines-leverag… Description: Artificial intelligence has always sought inspiration in the brain. Artificial neural networks (ANNs), in particular, were modeled after their biological counterparts (biological neural networks, BNNs). However, state-of-the-art deep networks are drastically different from BNNs. Their architectures (at both the single-neuron and macro levels), learning algorithms, and failure conditions share little in common with brain circuit dynamics. In particular, state-of-the-art deep learning is optimized for single, well-defined, static tasks. Deep networks struggle to learn multiple or evolving tasks over time (i.e., continual learning) or to adjust their processing based on environmental conditions. They are also less modular than BNNs, and thus less energy efficient, and utilize little-to-no feedback signals. We believe that deep networks suffer from these limitations because their modeling of brain dynamics is too superficial. Modeling more sophisticated neural mechanisms is therefore key for deep networks to achieve continual or lifelong learning and to cope with open-ended, dynamic environments. The goal of this Research Topic is to publish novel models and/or algorithms that expand the capabilities of deep learning (e.g., achieve better continual learning) by incorporating additional properties of BNNs. We are also interested in neuroscience research that elucidates mechanisms that can be leveraged by the AI community. Neuroscience has uncovered a wide range of learning and regulatory mechanisms, at scales ranging from single molecules to the entire nervous system, that help the brain learn, remember, and adapt. These include replay (systems-level consolidation), neuromodulation, neurogenesis, neuroevolution, attention, homeostatic plasticity, and synaptic consolidation. There exist some deep learning techniques motivated by these mechanisms (e.g., experience replay or attention networks), but they have rarely been used for lifelong learning. As such, our focus will be on approaches that leverage brain-like principles---ideally biologically well-grounded---to solve problems currently beyond the capabilities of the state of the art. We will also welcome neuroscience research that helps to elucidate the brain’s mechanisms, in the hope that they can be used by the next generation of machine learning models. The scope of this Research Topic covers: (1) biologically inspired techniques in deep learning (2) neuroscience research on how the brain facilitates learning and adapts to different contexts We seek to address continual or lifelong learning, transfer learning, and other ML scenarios that go beyond the traditional, train-then-test learning paradigm. Since machine learning is an experimental field, a paper must include experimental results to be accepted; however, we encourage authors to include theoretical analyses of their methods. We aim to collect the following types of manuscripts: Original Research and Brief Research Reports. Since the goal of this Research Topic is to publish highly novel, experimentally grounded work, we are not interested in Reviews (Systematic, Policy and Practice, etc.), General Commentaries, or Opinions. In addition, since the editorial board does not include medical experts, we cannot accept Clinical Trials or Study Protocols. The Research Topic will be edited by Rolando Jose Estrada, Georgia State University, USA Andrea Soltoggio, Loughborough University, UK Praveen K. Pilly, HRL Laboratories, USA Vincenzo Lomonaco, University of Pisa, Italy, Davide Maltoni, University of Bologna, Italy. Please consider submitting your original research to this Research Topic. Do not hesitate to get in touch if you wish to discuss your contribution. Best wishes, Andrea -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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be a mentor for Neuromatch Academy!
by Marius Pachitariu 11 Jun '21

11 Jun '21

Participate as MENTOR in Neuromatch Academy Neuromatch Academy returns this year with twice as many students and TAs participating in twice as many courses. If you are faculty or postdoc with some experience, please sign up to be a mentor for the Computational Neuroscience (syllabus <https://github.com/NeuromatchAcademy/course-content>) and/or the Deep Learning course (syllabus <https://github.com/NeuromatchAcademy/course-content-dl>). NMA is unique in reaching enthusiastic students from all over the world, most of whom cannot afford a traditional summer school. NMA 2020 reached students from ~70(!) countries. This year we have students from >100 !!! Mentors provide guidance and feedback on 3-week long projects that students complete in groups of 4-6. You will be algorithmically matched with students that have similar research interests to you.The mentorship happens in 4-5 sessions of 30-60 minutes each, leading to a time commitment of up to 5 hours per group. Mentors can take on 1-4 groups. Beginner groups are encouraged to use project templates, such as the ones here (link <https://docs.google.com/presentation/d/1v7fuzi9Y9RV12CysMBi5rxZKhjnWD5Js29U…>). Please consider contributing a project template, by simply adding a slide to the public google doc. Mentoring is relatively easy because you don’t need to prepare anything. Nonetheless, your feedback is extremely valuable to the students, who are taking their first steps in neuroscience / deep learning. We also encourage you to provide career advice, and optionally set up meetings with TAs after the summer school. Our collective effort to teach and mentor these young scientists and engineers pays off in the long-term: their positive experience at NMA inspires them to consider careers in our research fields. The application for mentors can be found below. Course starts July 5th, so please apply soon! https://portal.neuromatchacademy.org/

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Senior Postdoc ("Akademischer Rat") in the Reichenbach lab, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
by Reichenbach, Tobias 11 Jun '21

11 Jun '21

The newly founded Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a Senior Postdoc ("Akademischer Rat"). In close collaboration with clinical and industrial partners, the Chair researches on the neural foundations of hearing, as well as on new technology for better treatments of hearing impairment. Reseach topics are, for instance, the development and application of AI methods to analyse neurological data on human speech processing as well as the development of AI methods to construct audiovisual speech signals for better speech comprehension. The Senior Postdoc should shape this research field with their own innovative projects. The appointment will initially be for three years, and can be made permanent upon excellent performance. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of three referees. Please combine all documents into a single pdf and send them per email with subject “Application Senior Postdoc” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for Siemens. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. More information is available here: https://www.jobs.fau.de/jobs/senior-postdoc-in-computational-neurotechnolog… ------------------------------------------- Prof. Dr. Tobias Reichenbach Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nuremberg Henkestrasse 91 91056 Erlangen https://reichenbach.bg-research.cc.ic.ac.uk/index.html

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Information theory workshop at CNS*2021 -- call for contributed talks
by Joseph Lizier 10 Jun '21

10 Jun '21

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://abzinger.github.io/202107-CNS2021-ITW.html> will be held once again at the CNS*2021<http://www.cnsorg.org/cns-2021> conference, online. The workshop will be held during sessions over two days of the main conference, July 6 and 7 (time TBA). Our confirmed speakers so far include the following (schedule available soon): * Tatyana Sharpee, Salk Institute * Raul Vicente, University of Tartu * Viola Priesemann, Max Planck Institute for Dynamics and Self-Organization * Fernando Rosas, Imperial College London * Fleur Zeldenrust, Radboud University * Aaron Gutcknecht, University of Goettingen * Lucas Rudelt, Max Planck Institute for Dynamics and Self-Organization * ... more TBA! Also, we would like to call for contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh(a)uni-goettingen.de<mailto:abdullah.alimakkeh@uni-goettingen.de>) at your earliest convenience (earlier submissions will be prioritised). Please pay attention to the registration<https://www.cnsorg.org/cns-2021-registration-fees> for CNS*2021 (early bird deadline and fees), and see our website<https://abzinger.github.io/202107-CNS2021-ITW.html> for more details. We hope you will join us there! Organising Committee: Michael Wibral (co-chair) Abdullah Makkeh (co-chair) Joseph Lizier

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TEX2021 - Bringing together Predictive Processes and Statistical Learning
by Yamil Vidal 08 Jun '21

08 Jun '21

You are all invited to: TEX2021 - Bringing together Predictive Processes and Statistical Learning A free online symposium organized by Yamil Vidal and Davide Crepaldi. Description: While the research communities studying Predictive Processes and Statistical Learning sprout from different traditions, they share a core interest in how our brains pick up on patterns in the environment. In this two-days symposium we will bring these communities closer by sharing talks by some of the leading researchers of these fields. When: 1st and 2nd of July Speakers: - Tristan Bekinschtein (Consciousness and Cognition Lab, Department of Psychology, University of Cambridge) - Lucia Melloni (Department of Neuroscience, Max Planck Institute for Empirical Aesthetics. Department of neurology, NYU Grossman School of Medicine) - Padraic Monaghan (Department of Psychology, Lancaster University) - Maria Chait (Ear Institute, University College London) - Floris de Lange (Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen) - Caspar Schwiedrzik (Neural Circuits and Cognition Lab, European Neuroscience Institute Goettingen. Perception and Plasticity Group, German Primate Center - Leibniz Institute for Primate Research) - Lori Holt (Department of Psychology, Carnegie Mellon University) - Nicola Molinaro (BCBL, Basque Center on Cognition, Brain and Language) Schedule and more info at the registration form: https://sissa-it.zoom.us/webinar/register/WN_nBOv5NWZQ36HSH7nyffazg And here is the announcement that we made through Twitter: https://twitter.com/CrepaldiLab/status/1400856625896902656 We would be very happy to count you among the attendees. Please spread the word. Best regards, Yamil and Davide Dr. Yamil Vidal Cognitive Neuroscience Sector Scuola Internazionale Superiore di Studi Avanzati - SISSA via Bonomea, 265 34136 Trieste, ITALY

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EITN Fall School in Computational Neuroscience : Applications open!
by Zélie Tournoud 08 Jun '21

08 Jun '21

Dear colleagues, We are happy to let you know that applications for the *EITN Fall School in Computational Neuroscience* are currently open, until the 2nd of July 2021. This *10-days intensive course in computational neuroscience* will take place in *P**aris, France from 15 to 24 September 2021*. This is a yearly event, although previous occurrences took place in the spring. We choose to keep it relatively small-scale in order to facilitate interactions between participants and teaching staff, there are about 20 seats available. There will, therefore, be a selection made after applications are closed. We encourage you to share the word widely with your collaborators and networks so that everyone who might be interested can get the chance to apply. Applications need to be addressed by email with a *resume (CV)* and a *cover letter* at *eitn(a)neuro-psi.fr*. Please make sure to use an explicit email title such as "Application to EITN Fall School". *Why join?* * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris *Selection criteria:* 1. Work or study in neuroscience or related 2. Experience in python programming would help 3. Priority to PhD students, although Master students and post-docs are welcome to apply *Practical information:* * Subscription fee 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the 10 days of the course. You can also consult these information online <https://www.eitn.org/index.php/calendar-event/eventdetail/737/-/eitn-fall-s…> or by downloading the PDF flyer: https://www.eitn.org/images/events/EITN-FallSchool-2021_Flyer.pdf Thank you very much for applying or sharing with your relevant contacts. Kind regards, The EITN Team

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Postdoc Position at Cardiff University Brain Research Imaging Centre
by Jiaxiang ZHANG 08 Jun '21

08 Jun '21

[Apologize for cross-posting] Dear all, We are seeking an enthusiastic early-career scientist for a research associate position at Cardiff University Brain Research Imaging Centre (CUBRIC). The successful candidate will join a collaborative and multidisciplinary research team to work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional MRI and diffusion MRI) and computational modelling. The post holder will develop computational models that describe data from behavioural and brain imaging experiments, in particular to take a lead role in integrating large-scale computational simulations with imaging results from multiple modalities. The research aims to understand the computational and neurocognitive processes of human decision-making, and how decision deficits may arise due to brain injury or neurodegeneration. The research associate will also be expected to collaborate with other researchers in the team on imaging data analyses and data curation. You will have access to imaging facilities at CUBRIC and several multimodal imaging datasets. Cardiff University Brain Research Imaging Centre (CUBRIC) houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our webpage (http://sites.cardiff.ac.uk/cubric) This is a full-time, fixed-term position until February 2023, available to start now. Remote working is possible if COVID-19 restrictions are in place. For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73(a)cardiff.ac.uk) A formal application needs to be submitted via the link online ( https://www.jobs.ac.uk/job/CEQ831/research-associate) *Application deadline: June 13th, 2021.* *Essential Criteria* 1. A PhD degree in a relevant discipline (e.g., mathematics, computer science, engineering, physics or psychology) 2. Research experience or a strong interest in human decision-making 3. Strong experience in computational models of cognitive processes and/or macroscopic neural systems, including the use of neural mass models or neural field models 4. Experience of analysing brain imaging data in one or more modalities (e.g., diffusion MRI, BOLD functional MRI, MEG/EEG), using common software packages 5. Strong programming skills (e.g., Matlab, Python, C/C++ or R) 6. Experience with Unix/Linux environment for data analysis, including bash scripting and parallel computing on high-performance clusters 7. Proven ability to publish high-quality research in peer-reviewed academic journals 8. Knowledge of software development cycles and best programming practices, including coding standards, version control administration, debug and code sharing, with strong commitments to open science practices 9. Excellent written and verbal communication skills, evidenced by publications and/or conference presentations 10. Strong interpersonal skills, including proven ability to work cooperatively within a team while also being able to take the initiative *Desirable Criteria * 1. Experience of brain functional and structural connectivity analyses 2. Experience in statistical methods (e.g., GLM, mixed models, multivariate statistics, hierarchical models and Bayesian statistics) and/or machine learning methods 3. Experience in deep learning models of imaging processing --- Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ https://ccbrain.org

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[jobs] One-year Postdoc on “Sparse coding for bio-inspired vision models” at CentraleSupèlec, Gif-sur-Yvette, France
by PERRINET Laurent 07 Jun '21

07 Jun '21

Dear Colleagues, Applications are invited for a one-year Postdoc position, starting in September 2021 or as soon as possible thereafter, to work under the joint supervision of Dario Prandi<https://dprn.github.io/> (CNRS, Université Paris-Saclay), Luca Calatroni<https://sites.google.com/view/lucacalatroni/home> (CNRS, Université Côte d'Azur), and Laurent Perrinet<https://laurentperrinet.github.io/> (CNRS, Institut de Neurosciences de la Timone). The position is financed by the ANR Rubin-Vase (https://anr.fr/Projet-ANR-20-CE48-0003) and the research focus will be on linking the bio-inspired models studied by D. Prandi and L. Calatroni (see e.g. [1]) to the sparsity promoting neural architectures investigated by L. Perrinet (see, e.g., [2]). The successful applicant will have a strong applied mathematical background, ideally in the fields of sparse optimization and/or dynamical systems, and a good familiarity with neural architectures and the associated implementation issues. Strong skills in coding and programming using standard optimization/deep learning languages (e.g., Python, PyTorch, Julia, MATLAB…) are required. The gross salary is of 50k-59k euros (depending on the seniority of the applicant), and the position comes with no teaching duties. Although the position is officially based at CentraleSupèlec (Université Paris-Saclay), the successful applicant is expected to spend fairly long periods at the INT in Marseille and I3S in Sophia-Antipolis, to work with the co-supervisors. Candidates are asked to write directly to Dario Prandi (dario.prandi(a)centralesupelec.fr<mailto:dario.prandi@centralesupelec.fr>), attaching a CV, a short description of current research interests, and names and contact addresses of at least two reference contacts (no formal letters of recommendation are required). Applications are reviewed continuously, until positions are filled, with a first evaluation round starting on the 14th of June, 2021. Thanks for distributing this announcement to potential candidates! References [1] Bertalmío, M., Calatroni, L., Franceschi, V. et al. Cortical-Inspired Wilson–Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling. J Math Imaging Vis 63, 263–281 (2021). https://arxiv.org/abs/1910.06808 [2] Boutin V, Franciosini A, Chavane F, Ruffier F, Perrinet L (2021) Sparse deep predictive coding captures contour integration capabilities of the early visual system.<https://laurentperrinet.github.io/publication/boutin-franciosini-chavane-ru…> PLoS Comput Biol 17(1): e1008629. https://doi.org/10.1371/journal.pcbi.1008629 -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/

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[news] Call for Participation - The Chef's Hat Cup @ IJCAI2021
by Pablo Vinicius Alves De Barros 03 Jun '21

03 Jun '21

Deadline Extended! - The Chef's Hat Cup @ IJCAI2021 I. Aim and Scope Most of the current Reinforcement-Learning solutions, although having real-world-inspired scenarios, focus on a direct space-action-reward mapping between the agent's actions and the environment’s state. That translates to agents that can adapt to dynamic scenarios, but, when applied to competitive and/or cooperative cases, fail to assess and deal with the impact of their opponents. In most cases, when these agents choose an action, they do not take into consideration how other agents can affect the state of the scenario. In competitive scenarios, the agents have to learn decisions that a) maximize their chances of winning the game, and b) minimize their adversaries' goals, while in cooperative scenarios b) is inverted. Besides dealing with complex scenarios, such solutions would have to deal with the dynamics between the agents themselves. In this regard, social reinforcement learning is still behind the mainstream applications and demonstrations of the last years. We introduce here the Chef's Hat Cup, a competition that aims at the development of the most challenging artificial players! The competition is separated into two tracks: a competitive and a cooperative scenario. In the first track, the participants will use the already available simulation environment to develop the most effective agents to play the Chef’s Hat card game and be the winner. In the second track, they will have to develop an agent that can increase the chances of a dummy agent winning the game. More information: https://www.whisperproject.eu/chefshat#competition II. Deadlines Starting Date: April 20, 2021 Final submission: July 15, 2021 Winners Announcement: July 29, 2021 III. Team Registration Teams of up to five persons are invited to participate in the competition. You can register by sending the following information: Team name Participant Names and affiliation to this email: pablo.alvesdebarros(a)iit.it IV. Prizes The prizes will be sponsored by the Contact Unit at the Italian Institute of Technology, and will be organized as follows: Competitive Track - Winner – 300 EUR - Second – 150 EUR - Third – 50 EUR Cooperative Track - Winner – 300 EUR - Second – 150 EUR - Third – 50 EUR V. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Leandro Honorato, University of Pernambuco, Brazil Marco Matarese, Italian Institute of Technology (IIT), Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Italy ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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PostDoc in Machine Hearing
by Sarah Verhulst 02 Jun '21

02 Jun '21

Dear list, We have a 3-yr post-doc vacancy in my Hearing Technology lab in Ghent, Belgium. We do research on the interface between computational neuroscience and audio signal processing to develop human-inspired machine-hearing applications. More info on the position and application info can be found here (closing date 5th of July): https://tinyurl.com/4h9m497b Feel welcome to distribute, With best regards, Sarah —— Sarah Verhulst Associate Professor Hearing Technology @ WAVES Department of Information Technology Technologiepark 126, 9052 Zwijnaarde T +32 9 331 48 44 T admin +32 09 264 33 21 www.waves.intec.ugent.be/hearing-technology<http://www.waves.intec.ugent.be/hearing-technology> www.gasp.ugent.be<http://www.gasp.ugent.be> @HearingTechLab @GentAuditorySci GitHub: HearingTechnology

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Research fellowships at the Univ. of Birmingham/UK
by Michael Biehl 02 Jun '21

02 Jun '21

*Two research fellowships at the * *Centre for Systems Modelling and Quantitative Biomedicine, College of Medical and Dental SciencesUniversity of Birmingham /UK **Full time, fixed term for 3.5 years* *Closing Date *27th June 2021. Online interviews will take place on 20th July 2021 For further details and information about how to apply visit *https://www.jobs.ac.uk/job/CGC736/research-fellows <https://www.jobs.ac.uk/job/CGC736/research-fellows> * (do not reply to this message, do not contact M. Biehl directly) The successful candidates will be educated to PhD level and have experience in one or more of the following areas: Position 1: mathematical models; complex networks, (nonautonomous) dynamical systems, bifurcation theory or numerical continuation. Having relevant experience in biology or medicine will be advantageous. Position 2: computational methods; machine learning, neural networks, data visualisation and analytics, artificial intelligence, Bayesian inference, or algorithm development. Having relevant aligned experience in biology, medicine, or wearable technologies will be advantageous. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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EITN workshop on "Computational Neuroscience in EBRAINS", 10 june 2021
by Zélie Tournoud 02 Jun '21

02 Jun '21

Dear colleagues, We are happy to invite you to attend to the EITN (European Institute for Theorethical Neuroscience) workshop on "Computational Neuroscience in EBRAINS" taking place online on *June 10th, 2021, starting from 13:00 CEST*. Attendance is free and open to everyone upon registration, feel free to share the event to your collaborator who might be interested in the topic. To automatically receive your access link by email before the event, *register online* on this page: Register to the Zoom meeting <https://zoom.us/meeting/register/tJ0vd-CoqzkoHNTvv9UhOQ0Qbnex9MikG2F1>. The detailled program is available on this page <https://www.eitn.org/index.php/calendar-event/eventdetail/744/-/workshop-on…> that will be kept updated. * *Description of the workshop:* Organized by Andrew Davison (CNRS), Viktor Jirsa (AMU) and Alain Destexhe (CNRS). EBRAINS is a open-access platform built by the Human Brain Project and which provides tools for various applications in neuroscience. The aim of this workshop is to introduce some of the EBRAINS tools that are of particular interest for applications in computational neuroscience. These tools provide help to simulate models, from the cellular to the whole-brain level. Each tool will be introduced, then a "live demo" will be provided to demonstrate its use. As a companion to this workshop, we plan to provide recordings of each session on a YouTube channel, as well as scripts that were used in for the live demos. * *List of speakers:* Egidio d'Angelo (Pavia) Claudia Casellato (Pavia) Florent Bonnier (CNRS) Petrut Bogdan (U Manchester) Andrew Davison (CNRS) Alain Destexhe (CNRS) Timo Dickscheid (Jülich) Jan Fousek (AMU) Alice Geminiani (Pavia) Jennifer Goldman (CNRS) Brent Huisman (Jülich) Viktor Jirsa (AMU) Carmen Lupascu (CNR) Armando Romani (BBP/EPFL) Michael Schirner (Charité) Sam Yates (CSCS) We look forwards on seeing you on the 10th of June! Thank you and have a great day, /The EITN Team/

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[Journals] 2nd CFP: Special Issue on "Theory of Mind in Humans and in Machines"
by Bogdan Ionut Cirstea 01 Jun '21

01 Jun '21

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK), Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK) and Dr. Christelle Langley (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-… Papers may be submitted until the 30th of July 2021 (manuscript submission extended deadline). Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: • Computational Theory of Mind • Learning from Demonstrations • Cognitive Models for Learning from Demonstration and Planning • Neuroscience-inspired models of Theory of Mind • Human-Robot Interaction • Cooperative Inverse Reinforcement Learning (assistance games) • Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, -- Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin(a)brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001(a)cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea(a)brookes.ac.uk> Dr. Christelle Langley, University of Cambridge, UK <cl798(a)medschl.cam.ac.uk >

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Evolving Neural Networks workshop
by manuel molano 01 Jun '21

01 Jun '21

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 31 May '21

31 May '21

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 31 May '21

31 May '21

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 30 May '21

30 May '21

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 30 May '21

30 May '21

*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 28 May '21

28 May '21

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. 28 May '21

28 May '21

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 27 May '21

27 May '21

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 26 May '21

26 May '21

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 26 May '21

26 May '21

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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Last Call: Postdoctoral Fellowship / Fellowship for Junior Researchers, Prague, Czech Republic
by pokornam 25 May '21

25 May '21

The Institute of Computer Science (ICS) of the Czech Academy of Sciences (CAS) offers FELLOWSHIPS FOR OUTSTANDING AND ENTHUSIASTIC JUNIOR RESEARCHERS, PhD holders, open to cooperation with some of the researchers of the Institute (www.cs.cas.cz) For more information on the position please see https://www.cs.cas.cz/job-offer/ics-postdoctoral-fellowship-2021/en _THE CLOSING DATE FOR APPLICATION IS 31ST MAY 2021._ The Czech Academy of Sciences is the biggest institution conducting basic research in the Czech Republic. It covers 54 research institutes, the Institute fo Computer Science being one of them.

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LAST CALL: Tenure Track Research Position - Computer Science, Prague, Czech Republic
by pokornam 25 May '21

25 May '21

THE CZECH ACADEMY OF SCIENCES IS THE BIGGEST INSTITUTION CONDUCTING BASIC RESEARCH IN THE CZECH REPUBLIC. IT COVERS 54 RESEARCH INSTITUTES, THE INSTITUTE OF COMPUTER SCIENCE BEING ONE OF THEM. LAST CALL: The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for one TENURE‐TRACK POSITION IN COMPUTER SCIENCE and related areas fitting and/or expanding its current research focus, consisting mainly of: artificial intelligence, combinatorics, complex dynamic systems, computational complexity, data-mining, mathematical logic, statistics. _THE CLOSING DATE FOR APPLICATION IS 31ST MAY 2021._ For more information on the position please see https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Computer-Science-2021… [1], or contact us at posinfo(a)cs.cas.cz Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic http://www.cs.cas.cz [2] Links: ------ [1] https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Computer-Science-2021… [2] http://www.cs.cas.cz/

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