- Comp-neuro - lists.cnsorg.org

Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors)
by Yuvaraj Rajamanickam July 26, 2021

July 26, 2021

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 July 23, 2021

July 23, 2021

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 July 23, 2021

July 23, 2021

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 July 22, 2021

July 22, 2021

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 July 22, 2021

July 22, 2021

*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 July 22, 2021

July 22, 2021

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 July 22, 2021

July 22, 2021

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 July 21, 2021

July 21, 2021

*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 July 21, 2021

July 21, 2021

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 July 21, 2021

July 21, 2021

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 July 21, 2021

July 21, 2021

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 July 20, 2021

July 20, 2021

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 July 20, 2021

July 20, 2021

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 July 19, 2021

July 19, 2021

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 July 19, 2021

July 19, 2021

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES & 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 July 14, 2021

July 14, 2021

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 July 13, 2021

July 13, 2021

*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 July 13, 2021

July 13, 2021

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 July 12, 2021

July 12, 2021

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 July 11, 2021

July 11, 2021

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 July 11, 2021

July 11, 2021

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 July 9, 2021

July 9, 2021

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 July 8, 2021

July 8, 2021

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 July 7, 2021

July 7, 2021

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 July 7, 2021

July 7, 2021

*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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