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Postdoctoral fellow – Systems Neuroscience of Alzheimer’s Disease
by Williamson, Ross S Dec. 29, 2020

Dec. 29, 2020

Dear all, Apologies for the cross-posting. A postdoctoral position is available in the Williamson and Thathiah laboratories at the University of Pittsburgh School of Medicine to investigate the links between hearing loss and the pathophysiology of Alzheimer’s disease (AD). The information from our senses is used throughout everyday life to guide the decisions we make and the actions that we take. For example, the sound of sirens when driving leads to a decision regarding an appropriate motor action (whether or not, and where, to pull over). The neural circuits that underlie these cognitive processes (accumulation of sensory evidence, short-term memory, perception decision-making, etc.) can be severely altered by disease. Hearing loss is prevalent in >40% of individuals older than 60 years and is considered to be the most heavily contributing modifiable risk factor to dementia. It is our hope that by identifying and studying the neural circuits involved, we will provide insight to drive subsequent therapeutic intervention strategies that may lead to the repair (or prevention) of damage. The Williamson Laboratory uses a variety of state-of-the-art tools to probe the neural circuits of awake mice, including two-photon calcium imaging and high-channel count electrophysiology (both with single-cell optogenetic perturbations), head-fixed virtual reality behaviors, and statistical approaches for neural characterization. A significant focus of the lab is to understand how sensory information is used to guide purposeful behavior in models of health and disease. Details on the research focus and approaches of the Williamson laboratory can be found here: https://www.williamsonlaboratory.com/research/ The Thathiah Laboratory uses molecular, cellular, and behavioral approaches along with optogenetic tools to investigate the mechanisms of AD pathogenesis. Recently, the Thathiah lab teamed up with the Williamson lab to investigate the putative causal relationship between hearing loss, disease pathogenesis, and cognitive impairment using our complementary research approaches in AD mouse models. Details on the research focus of the Thathiah laboratory can be found here: https://www.neurobio.pitt.edu/people/amantha-thathiah Both laboratories are embedded within the Departments of Neurobiology and Otolaryngology, are members of the University of Pittsburgh Brain Institute, the Pittsburgh Hearing Research Center, and are affiliated with the Center for Neuroscience (CNUP) and the Center for the Neural Basis of Cognition (CNBC). The Thathiah laboratory is a member of the Pittsburgh Institute for Neurodegenerative Diseases (PIND), the Alzheimer’s Disease Research Center (ADRC), and the Aging Institute. Postdoctoral fellows will be part of a highly supportive and diverse research environment with excellent career development opportunities. The University of Pittsburgh was ranked third in terms of total NIH funding received in 2018. The Global Livability Index (The Economist) recently ranked Pittsburgh as the second most livable city in America. The University of Pittsburgh School of Medicine is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, ancestry, age, veteran status, disability unrelated to job requirements, genetic information, military service, or other protected status. Requirements: Applicants must have a Ph.D. in Neuroscience or a relevant field and must be eligible for employment in the US. We are looking for individuals with an excellent record of research achievements and expertise at the intersection of two or more of the following areas: electrophysiology, two-photon imaging, quantitative behavior, and computational neuroscience. Experience with molecular and biochemical techniques is preferred but not required. Excellent verbal and written communication skills, technical expertise, and scientific creativity are essential. Applications will continue until the position is filled. Contact: Interested candidates should send a brief statement of research interests, a current CV, and the names and contact information of three references to: Dr. Ross Williamson: rsw(a)pitt.edu<mailto:rsw@pitt.edu> Dr. Amantha Thathiah: amantha(a)pitt.edu<mailto:amantha@pitt.edu> Thanks, Ross ---------------------------------------------------------------------------------------------------------- Ross S. Williamson, Ph.D. | Assistant Professor | Otolaryngology, Neurobiology Pittsburgh Hearing Research Center | Center for the Neural Basis of Cognition University of Pittsburgh | Biomedical Science Tower | W1448 www.williamsonlaboratory.com<http://www.williamsonlaboratory.com>

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Postdoc at International Centre for Translational Eye Research
by Andrzej Foik Dec. 28, 2020

Dec. 28, 2020

Dear all, I would like to repost our announcement about the postdoc we are looking for. we are looking for a postdoc in the neuroinformatics or bioinformatics area. Please, spread the word to your friends if you can. The Ophthalmic Biology Group searches for candidates with a Ph.D. degree experienced in computational biology techniques such as neuronal network modeling, electrophysiological data analyses and/or bioinformatics, and DNA/protein modeling. Candidates should be interested in translational research and the development of new therapies to cure blindness or other diseases. The postdoctoral scholar will have a direct impact on lab development and its success in publishing in high impact factor journals. The person will be also responsible for performing dynamic research to create a competitive research group. The position will be assigned to the Ophthalmic Biology Group led by Andrzej Foik Ph.D. focusing on the development of new viral therapies, visual information processing in the visual system before and after plasticity that happens due to vision recovery or disease. https://euraxess.ec.europa.eu/jobs/580785 https://ichf.edu.pl/en/job/international-centre-for-translational-eye-resea… Best regards, Andrzej Foik -- Andrzej Foik, PhD Group Leader Ophthalmic Biology Group International Centre for Translational Eye Research (ICTER) Institute of Physical Chemistry PAS ul. Kasprzaka 44/52, 01-224 Warszawa mobile: +48 695 497 065 office: +48 22 343 3204 email: afoik(a)ichf.edu.pl; andrzejfoik(a)gmail.com NIP: 525-000-87-55 www.icter.pl The controller of your personal data is the Institute of Physical Chemistry of the Polish Academy of Sciences with its registered office in Warsaw, NIP: 5250008755 (the "Institute"). The Institute will process your data for the purpose of carrying out scientific and research activities, providing services and contact with the Institute, on the basis of a contract (in connection with the performance of the contract or in order to take action on your request before the contract is concluded – Article 6, paragraph 1, letter b) of GDPR), the legitimate interest of the Institute (Article 6, paragraph 1, letter f) of the GDPR) and legal provisions (Article 6, paragraph 1, letter c) of the GDPR) - depending on the circumstances. You have the right to request access to your data, receive a copy of it; rectify (correct) it; delete it; limit its processing; transfer it; lodge a complaint to the supervisory body; withdraw your consent for processing at any time (withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal) or to lodge an objection to data processing. More information is available on the Institute's website. http://ichf.edu.pl/gen_inf/gen_en/GDPR%20-%20General%20Information%20Clause… -- Andrzej Foik, PhD Group Leader Ophthalmic Biology Group International Centre for Translational Eye Research (ICTER) Institute of Physical Chemistry PAS ul. Kasprzaka 44/52, 01-224 Warszawa mobile: +48 695 497 065 office: +48 22 343 3204 email: afoik(a)ichf.edu.pl; andrzejfoik(a)gmail.com NIP: 525-000-87-55 www.icter.pl The controller of your personal data is the Institute of Physical Chemistry of the Polish Academy of Sciences with its registered office in Warsaw, NIP: 5250008755 (the "Institute"). The Institute will process your data for the purpose of carrying out scientific and research activities, providing services and contact with the Institute, on the basis of a contract (in connection with the performance of the contract or in order to take action on your request before the contract is concluded – Article 6, paragraph 1, letter b) of GDPR), the legitimate interest of the Institute (Article 6, paragraph 1, letter f) of the GDPR) and legal provisions (Article 6, paragraph 1, letter c) of the GDPR) - depending on the circumstances. You have the right to request access to your data, receive a copy of it; rectify (correct) it; delete it; limit its processing; transfer it; lodge a complaint to the supervisory body; withdraw your consent for processing at any time (withdrawal of consent does not affect the lawfulness of the processing carried out prior to its withdrawal) or to lodge an objection to data processing. More information is available on the Institute's website. http://ichf.edu.pl/gen_inf/gen_en/GDPR%20-%20General%20Information%20Clause…

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New Journal: Mathematical Neuroscience and Applications
by Zachary Kilpatrick Dec. 27, 2020

Dec. 27, 2020

We are pleased to announce the creation of "Mathematical Neuroscience and Applications". The aim of this new journal is to publish the best work in mathematical neuroscience and its applications and making it broadly available to the scientific community in a completely open fashion, i.e. at no costs for readers and authors (no APCs). The webpage of the journal can be found at https://mna.episciences.org/ <https://secure-web.cisco.com/1Th57tM0Q4wnQK5WU9a83gEk5eiepY75pxIXyIVdMZmATN…> where more information such as how to submit an article, or the list of Editorial Board Members, https://mna.episciences.org/review/staff <https://secure-web.cisco.com/1CXJhkD3WpGFVRfTHEqp6vfR8XHQDkEeIIbSjzi2e5bXzh…> , is available. This is the Diamond Open Access model which is made possible in our case thanks to the support of Episciences, https://www.episciences.org/# <https://secure-web.cisco.com/1EwusptV_q2y1ZQTKNt9O1K0__jJocYNjvm6c6ar0ARXwJ…> Editorial Board Members of MNA are looking forward to publishing your work. Feel free to reach out to us with any questions. Olivier Faugeras (Editor in Chief), Inria, France Peter Ashwin, University of Exeter, UK Paul Bressloff, University of Utah, USA Stephen Coombes, University of Nottingham, UK Carina Curto, Pennsylvania State University, USA Susanne Ditlevsen, University of Copenhagen, Denmark Antonio Galves, University of São Paulo, Brasil Zachary Kilpatrick, University of Colorado Boulder, USA Carlo Laing, Massey University, Auckland, New Zealand Eva Löcherbach, Paris I University, France Andre Longtin, University of Ottawa, Canada Benoit Perthame, Sorbonne University, France Patricia Reynaud-Bouret, Côte d'Azur University, France Andrey Shilnikov, Georgia State University, USA Wilhelm Stannat, Technische Universität, Berlin, Germany Etienne Tanré, Inria, France Michèle Thieullen, Sorbonne University, France Stephan A Van Gils, Universiteit Twente, Netherlands Romain Veltz, Inria, France Martin Wechselberger, University of Sydney, Australia

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ANDA 2020 - G-Node Advanced Neural Data Analysis Course, April 14-30, 2020, Jülich, Germany
by Thomas Wachtler Dec. 23, 2020

Dec. 23, 2020

ANDA 2020 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 14 - 30, 2020 Haus Overbach, Jülich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY · Moshe Abeles, Hebrew Univ. Jerusalem, Israel · Michael Denker, Jülich Research Center, Germany · Udo Ernst, Univ. Bremen, Germany · Sonja Grün, Jülich Research Center, Germany · Adam Kohn, Albert Einstein College of Medicine, New York, USA · Jakob Macke, TU Munich, Germany · Luca Mazzucato, Univ. of Oregon, Eugene, USA · Martin Nawrot, Univ. of Cologne, Germany · Yifat Prut, Hebrew Univ. Jerusalem, Israel · Hansjörg Scherberger, German Primate Center, Göttingen, Germany · Thomas Wachtler, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Elephant toolbox · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Research data management and reproducibility REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org>. APPLICATION DEADLINE Applications must be received by NOVEMBER 15, 2019. Early application is encouraged. For further information see http://www.g-node.org/anda

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Open Position at Goettingen University - Postdoctoral Researcher (f/m/d) - SPP 2205
by von Behren, Christina Dec. 22, 2020

Dec. 22, 2020

Dear list, We would like to draw your attention to the postdoc opportunity below: The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (f/m/d) This position is available starting from March 1st, 2021. It is a full time position with a limited contract of 3 years with the possibility of an extension for one additional year. Salary and working hours will be according to the German grade 13 TV-L (100 %, currently 39,80 hours per week). The position will be associated with the group of Prof. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP2205 "Evolutionary optimization of neuronal processing". The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species from drosophila, via rodents to primates and humans. We are looking for candidates with an excellent PhD in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to electrophysiological neural recordings and calcium imaging signals to investigate signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management systems (RDMS) are also considered as an advantage. We expect the job holder to establish a local database that organizes the vast amount of research data in this project. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to christina.vonbehren(a)uni-goettingen.de<mailto:christina.vonbehren@uni-goettingen.de> by January 15th, 2021. If you have any questions, please contact Prof. Dr. Michael Wibral, via e-mail: michael.wibral(a)uni-goettingen.de<mailto:michael.wibral@uni-goettingen.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)<https://www.uni-goettingen.de/de/document/download/e0b7459b97d917e68e3464b8…> ------ Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen University of Goettingen Postal address: Max Planck Institute of Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany

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Scientist position in modeling at the Allen Institute
by Anton Arkhipov Dec. 22, 2020

Dec. 22, 2020

Join us to analyze world-class experimental data and build the next generation of brain models! This opening is in the lab of Anton Arkhipov at the Allen Institute (Seattle, WA). One position is already taken, but one is still available: Scientist I - Bio-realistic Modeling of Reconstructed Cortical Tissue See details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1415274 The Scientist will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits. This project will take advantage of unprecedented experimental datasets from the Allen Institute that contain a systematic characterization of synaptic connections between the cell types (https://portal.brain-map.org/explore/connectivity/synaptic-physiology) and a connectome of individual neurons coupled with dense recordings of activity in the mouse visual cortex (https://microns-explorer.org<https://microns-explorer.org/>). The Scientist will work collaboratively with colleagues to integrate these data into new, highly realistic network models of cortical circuits, use the models to explore theoretical predictions, and provide them as a resource to fuel future theoretical, modeling, and experimental work in the community.

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[JOB] Postdoctoral Fellow in Concussion Neuroscience, Machine learning and Cloud Computing
by Franco Pestilli Dec. 22, 2020

Dec. 22, 2020

We would appreciate if you could share the ad below to relevant list. Drs. Nicholas Port and Franco Pestilli are seeking a Postdoctoral Fellow or Research Associate to join a multi-institutional team of Neuroscientists, Computer Scientists, and Engineers to work on a unique project to apply Machine learning and Cloud computing to improve our understanding of concussion and mild Traumatic Brain Injury. Applicants are invited to apply for this research Postdoctoral Fellow or Research Associate, non-tenure track position with a proposed start date of summer/fall 2021. The primary goal of the project is to use brainlife.io, and advanced machine learning methods to analyze behavioral and clinical outcomes, anatomical and diffusion weighted imaging from a large dataset (the NCAA/DOD CARE Consortium Advanced Research Core). The plan is to build predictive modeling tools available on brainlife.io that can be freely used by clinicians around the world to help in patient care management. Opportunities exist to join several additional concussion, machine learning, informatics and neuroimaging projects with the labs of Drs. Port and Pestilli. The position will be based in Dr. Port’s new, state-of-the-art laboratory within the dedicated Research Center for Elite Athletic Development in the new 66,000 square-foot South-End-Zone edition to Indiana University’s Memorial Stadium (https://iuhoosiers.com/facilities/the-excellence-academy/21 https://president.iu.edu/media/photos/2018/excellence-academy-dedication/in…) A major research university, Indiana University currently enrolls over 38,000 undergraduates and 10,000 graduate and professional students on the Bloomington campus, and has over 114,000 students in the University system. The School of Optometry, Program in Neuroscience and Cognitive Science Program are internationally recognized, vibrant research programs with a very collegial environment. The Department of Psychological and Brain Sciences has a research dedicated 3T Prisma, which Dr. Port uses regularly. A diverse community, Bloomington is located in a beautifully wooded and hilly area of the state, where cultural and recreational opportunities abound, housing costs are low, schools are excellent, and commute times are short. Additional information on the community of Bloomington can be found at https://www.visitbloomington.com/. The Postdoctoral Fellow position requires a PhD in Neuroscience, Computer Science, Engineering, Informatics, Vision Science or related scientific field by the time of appointment. For the Research Associate position, a minimum of a Masters degrees and 5+ year of appropriate work experience is required. Salary and rank will be commensurate with qualifications and experience. For consideration, please submit a letter of application, curriculum vita, and the names and contact information for at least three references. Interested candidates should review the application requirements and submit their application at: http://indiana.peopleadmin.com/postings/10224 Applications received by Jan 11, 2021, will be assured priority consideration; however, the search will remain open until the position is filled. Best regards, Franco FRANCO PESTILLI, PhD | 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 <mailto:pestilli@utexas.edu> | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | github <https://github.com/francopestilli> | brainlife.io <https://brainlife.io/>

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Tenure-track faculty position in computational/theoretical neuroscience at UChicago
by Brent Doiron Dec. 21, 2020

Dec. 21, 2020

*Tenure-track Faculty in Computational/Theoretical NeuroscienceThe University of Chicago: Biological Sciences Division: Department of Neurobiology* Position Description The University of Chicago's Grossman Center for Quantitative Biology and Human Behavior and the Department of Neurobiology seek faculty in computational/theoretical neuroscience. The appointee will be a core member of the newly-launched Grossman Center for Quantitative Biology and Human Behavior and will lead a ‘dry’ computational lab alongside a growing group of other computational neuroscientists. The Grossman Center seeks faculty who will establish deep and extensive collaborations with the vibrant experimental neuroscience community at the University of Chicago. Those developing computational models and analysis methods at the cellular, circuits, systems, or cognitive levels are especially welcome to apply. Appointment as a tenure-track assistant professor is expected, but we will consider appointments as a tenured associate or full professor. The University of Chicago is currently engaged in a major expansion in neuroscience, with computational neuroscience being an area of focus. The University offers a rich intellectual environment that includes a strong translational neuroscience community and affiliations with Argonne National Laboratory and the Marine Biological Laboratory in Woods Hole. The Division, other academic units of the University, and the School of Medicine, are all contained within one compact campus in Chicago's Hyde Park. Appointees will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences. Prior to the start of employment, qualified applicants must have a doctoral degree or equivalent. To be considered, those interested must apply through the University of Chicago’s Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/82120. Applicants must upload a CV including a bibliography, contact information for 3 references, a statement outlining research goals, and a teaching statement that can include a description of the candidate’s experience in teaching diverse students [the University’s Diversity Statement can be found at https://provost.uchicago.edu/statements-diversity] Review of complete applications will begin February 1 2021 and continue until the position is filled. Equal Employment Opportunity Statement We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at https://provost.uchicago.edu/statements-diversity. The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email equalopportunity(a)uchicago.edu with their request. -- Brent Doiron Professor of Neurobiology and Statistics Director of the Grossman Center for Quantitative Biology and Human Behavior University of Chicago Chicago IL

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Postdoctoral Position at MassachusettsGeneral Hospital
by Xin Yu Dec. 21, 2020

Dec. 21, 2020

*Postdoctoral Research Fellow Position at Massachusetts General Hospital* The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology at Massachusetts General Hospital is offering a postdoctoral position based on an NIH-funded Brain Initiative project developing novel multi-modal neuroimaging methodology in animal models. This position is open from Jan 1st. 2021 until filled. Potential candidates will be considered based on the following two research directions: *Research Direction #1 Multi-modal neuroimaging in animal brains, (Biologists/biomedical engineers/electrophysiologists) * a) Implement the MRI/EEG/calcium recording methods to specify brain state fluctuation correlated to pupil dynamics in awake rodents b) Target specific nuclei with deep brain optogenetic stimulation methods to study circuit-specific brain state neuromodulation. c) Develop an advanced fiber-optic imaging device for MRI compatible concurrent brain dynamic signal recordings, e.g., Ca2+, Glutamate, dopamine, and other neuromodulators. Experience with viral transfection, 2-PM or optical fiber recordings, or *in vivo. / in vitro. *electrophysiology in animal models (rodents) is highly desirable. The candidates should bear experience or strong interests in brain functional imaging, e.g. task-based BOLD fMRI. *Research Direction #2 Advanced fMRI and computational method development (Bio-engineering and computational neuroscientists)* a) Develop and optimize the high spatiotemporal fMRI method with high field MRI (>11.7T). b) Advanced resting-state fMRI analysis method development based on the neural network-based learning schemes. (being familiar with recurrent neural network design and implementation, e.g. ESN, GRU, et al.) c) Machine learning-based multi-modal brain signal dynamic signal analysis, e.g. LFP, Calcium, fMRI, pupil dynamics, et al. Candidates with strong computational skills and fMRI data processing experience are highly encouraged to apply for this position. The candidate should have strong teamwork skills to fit in a multi-disciplinary group. Please send your CV, contact information of three references, and a cover letter describing your background, interests, and research goals to Dr. Yu by e-mail: xyu9(a)mgh.harvard.edu. Please include “Postdoc Application for Multi-modal fMRI” in the subject line of your email. We welcome trainees with high motivation, curiosity, and scientific maturity. Also, Dr. Yu’s lab has extensive experience to support trainees to apply for international scholarships and help junior researchers to build their academic careers. Here is the selected publication in 2019-20 from Yu lab: 1. Chen Y, Sobczak F, Pais-Roldán P, Schwarz C, Koretsky AP, Yu X. Mapping the Brain-Wide Network Effects by Optogenetic Activation of the Corpus Callosum. Cereb Cortex. 2020 Oct 01; 30(11):5885-5898. PMID: *32556241 <https://www.ncbi.nlm.nih.gov/pubmed/32556241>*. 2. Sobczak F, He Y, Sejnowski TJ, Yu X. Predicting the fMRI Signal Fluctuation with Recurrent Neural Networks Trained on Vascular Network Dynamics. Cereb Cortex. 2020 Sep 17. PMID: *32940658 <https://www.ncbi.nlm.nih.gov/pubmed/32940658>*. 3. Drew PJ, Mateo C, Turner KL, Yu X, Kleinfeld D. Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds. Neuron. 2020 09 09; 107(5):782-804. PMID: *32791040 <https://www.ncbi.nlm.nih.gov/pubmed/32791040>*. 4. Pais-Roldán P, Takahashi K, Sobczak F, Chen Y, Zhao X, Zeng H, Jiang Y, Yu X. Indexing brain state-dependent pupil dynamics with simultaneous fMRI and optical fiber calcium recording. Proc Natl Acad Sci U S A. 2020 03 24; 117(12):6875-6882. PMID: *32139609 <https://www.ncbi.nlm.nih.gov/pubmed/32139609>*. 5. Ovsepian SV, Jiang Y, Sardella TCP, Malekzadeh-Najafabadi J, Burton NC, Yu X, Ntziachristos V. Visualizing cortical response to optogenetic stimulation and sensory inputs using multispectral handheld optoacoustic imaging. Photoacoustics. 2020 Mar; 17:100153. 6. Handwerker J, Pérez-Rodas M, Beyerlein M, Vincent F, Beck A, Freytag N, Yu X, Pohmann R, Anders J, Scheffler K. A CMOS NMR needle for probing brain physiology with high spatial and temporal resolution. Nat Methods. 2020 01; 17(1):64-67. PMID: *31768059 <https://www.ncbi.nlm.nih.gov/pubmed/31768059>*. 7. Chen X, Sobczak F, Chen Y, Jiang Y, Qian C, Lu Z, Ayata C, Logothetis NK, Yu X. Mapping optogenetically-driven single-vessel fMRI with concurrent neuronal calcium recordings in the rat hippocampus. Nat Commun. 2019 11 20; 10(1):5239. PMID: *31748553 <https://www.ncbi.nlm.nih.gov/pubmed/31748553>*. 8. He Y, Wang M, Yu X. High spatiotemporal vessel-specific hemodynamic mapping with multi-echo single-vessel fMRI. J Cereb Blood Flow Metab. 2020 Oct; 40(10):2098-2114. PMID: *31696765 <https://www.ncbi.nlm.nih.gov/pubmed/31696765>*. 9. Chen Y, Pais-Roldan P, Chen X, Frosz MH, Yu X. MRI-guided robotic arm drives optogenetic fMRI with concurrent Ca2+ recording. Nat Commun. 2019 06 10; 10(1):2536. PMID: *31182714 <https://www.ncbi.nlm.nih.gov/pubmed/31182714>*. 10. Pais-Roldán P, Edlow BL, Jiang Y, Stelzer J, Zou M, Yu X. Multimodal assessment of recovery from coma in a rat model of diffuse brainstem tegmentum injury. Neuroimage. 2019 04 01; 189:615-630. PMID: *30708105 <https://www.ncbi.nlm.nih.gov/pubmed/30708105>*.

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PhD Position in Human Clinical Neurophysiology in Bonn, Germany
by Thomas Reber Dec. 21, 2020

Dec. 21, 2020

PhD Position in Human Clinical Neurophysiology We are offering a PhD position (pay grade 65% E13), starting immediately, for 4 years. Will consider Neuroscientists, Psychologists, Biologists, Physicists, Clinicians, Mathematicians, Engineers, Computer Scientists. Our work in the field of Clinical Neurophysiology focuses on investigating the mechanisms during the generation, propagation, and termination of epileptic seizures at the level of single neurons, small neuronal ensembles, and local field potentials, with special focus on the piriform cortex as a major hub between the temporal and frontal lobe. Our group at the Department of Epileptology at the University of Bonn's Medical School uses the novel technology of single unit recordings via micro-electrodes in epilepsy patients, who have been implanted with temporal lobe electrodes for diagnostic purposes. This method allows us to record action potentials from single neurons as well as local field potentials. After neurosurgical removal of the seizure-generating tissue, human slices of the very same structures that were previously recorded from in vivo can be used for in vitro analysis techniques such as patch clamp or Calcium imaging. The neuroscientific focus of the University of Bonn with numerous labs in the field of animal electrophysiology and human research furthermore offers close interaction with the research institutes Life & Brain, LIMES, caesar, and the newly founded DZNE. The PhD position is embedded in the Bonn International Graduate School of Neuroscience (BIGS) and the collaborative research grant "Synaptic Micronetworks in Health and Disease" (SFB 1089). The student's work comprises acquisition and analysis of single unit activity and local field potentials during epileptic seizure in order to monitor emergence, spread and cessation of these events. Advanced programming skills (e.g., experience with Matlab or Python) are absolutely mandatory. Experience with patch clamp or Ca imaging is welcome. A background in neuroscience, medicine, or biology is not obligatory, the necessary knowledge can be acquired during the thesis work. Please email applications and cv to: Florian Mormann, MD, PhD Lichtenberg Professor of Cognitive and Clinical Neurophysiology University of Bonn, Department of Epileptology Venusberg-Campus 1 53127 Bonn, Germany Phone +49 228 287 15738 Email: florian.mormann(a)ukbonn.de http://epileptologie-bonn.de/cms/front_content.php?idcat=324

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Interdisciplinary Neuroscience PhD programme, Tübingen
by Peter Dayan Dec. 19, 2020

Dec. 19, 2020

The Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is 30th November 2020. Please visit: https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details and information about applying. The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2021) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English.

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Open position for a PhD-student in Computational Neuroscience with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany
by Laurenz Wiskott Dec. 19, 2020

Dec. 19, 2020

____________________________________________________________________________ Open position for a PhD-student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ____________________________________________________________________________ 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. The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, 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. We are looking for an excellent PhD student (m/f/d) for the following research topic: The project has the goal to understand the neural basis of navigation in rodents. Building on existing models the PhD student (m/f/d) shall develop a model of the hippocampus for storing episodic sequences and apply it to navigational experience. The load of teaching will be calculated according to §3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The appointment will be for three years with an option for extension. Anticipated starting date is April 1, 2021. Salary is 29,87 h/w of salary scale TV-L E12/13. Informal inquiries can be addressed to Prof. Dr. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Dr. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Travel expenses for interviews cannot be refunded. https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl… At Ruhr-Universität Bochum, we wish to promote careers of women in areas in which they are underrepresented, and we would therefore like to encourage female candidates to send us their applications. Applications by suitable candidates with severe disabilities and other applicants with equal legal status are likewise most welcome.

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Postdoctoral position in computational neuroscience at Hay Lab (KCNI, UofT)
by Etay Hay Dec. 19, 2020

Dec. 19, 2020

Postdoctoral position in computational neuroscience at Hay Lab (KCNI, UofT): We will study cortical processing in health and depression in pre-clinical animal models using large-scale simulations of rat cortical microcircuits (in collaboration with the Blue Brain Project). The position is for 2 years, with anticipated start time in June 2021. Interested applicants with publications and experience in computational neuroscience, who have completed their PhD in the last 5 years, are invited to send their CV to Dr. Etay Hay (etay.hay(a)camh.ca) In support of diversity, women are particularly encouraged to apply. Hay lab for brain microcircuit modelling is located at Krembil Centre for Neuroinformatics, within the Centre for Addiction and Mental Health (camh). We are fully affiliated with the University of Toronto, and situated at the main campus, downtown Toronto. Etay Hay, PhD Independent Scientist, Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health (CAMH) Assistant Professor, Department of Psychiatry and Department of Physiology, University of Toronto 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. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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PhD Positions at the University of Vermont
by Dave Jangraw Dec. 18, 2020

Dec. 18, 2020

Dr. David Jangraw is seeking PhD students for his new research group, the Glass Brain Lab. The lab's focus is "naturalistic neuroengineering": the use of new technology to study the human brain in realistic situations. By understanding the brain as it operates in real life, we can pave the way for devices that detect problematic brain states in real-time and provide help or support, a sort of pacemaker for the brain. EEG, fMRI, eye tracking, and machine learning will be central to this effort. Sample projects will study mindless reading, attentional reorienting in virtual environments, and automated labeling of psychotherapy techniques. If you are/know a bright undergrad interested in emerging tech and human brain imaging, please get in touch! Our home department gives degrees in Electrical and Biomedical Engineering, but students seeking degrees in Neuroscience, Computer Science, or related fields will also be considered. Applications are due 1/15/21. For more information: - Hiring page: https://github.com/djangraw/hiring/tree/master/UVM-GradStudent - Lab site: https://uvm.edu/~brainlab

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PhD Studentships in be.AI - University of Sussex’s Leverhulme Doctoral Scholarship Programme in Biomimetic Embodied AI
by Thomas Nowotny Dec. 17, 2020

Dec. 17, 2020

Dear all, The University of Sussex invites applications for PhD studentships within the be.AI Leverhulme Doctoral Scholarship Programme (www.sussex.ac.uk/ccnr/be_ai) which will bring together researchers from the humanities, life sciences and computing to pursue artificial intelligence (AI) in its original definition of understanding natural intelligence by emulating it in artificial systems. In our unique interdisciplinary centre, we will advance understanding of how the interaction between brain, body and environment gives rise to intelligence and how this insight can be used to build novel artificial intelligence. As a be.AI Scholar you will: * Be funded for 3.5 years with a a tax free living allowance at the standard Research Council rate – currently £15,009 per year– and UK fees * Be eligible for generous financial support of up to £4,000 per year for training and research expenses, such as conference trips and experimental costs * Be eligible to apply for one of three 12 month postdoctoral research fellowships, available only to completing Leverhulme be.AI scholars * Benefit from supervision by world-leading researchers in many different aspects of AI * Benefit from taught courses in topics, such as ethics and data science. The Programme will fund three intakes of 6 students per year, starting in September 2021 (application deadline 31st January 2021). You will be registered within one of the participating schools (Life Sciences, Engineering and Informatics, Psychology, Philosophy, Media Film & Music) but will be encouraged to perform cross-disciplinary research with academics across Schools. In be.AI, you will work in a community of like-minded students and researchers supported by your own research seminars, invited lectures by world leading speakers, as well as student-led conferences and cohort building events. We are passionate about creating an interdisciplinary cohort of researchers, so we expect successful applicants to see beyond their disciplinary boundaries and embrace the opportunity to work at the intersection of multiple fields. For further details, including how to apply, see http://www.sussex.ac.uk/ccnr/be_ai Kind regards, Thomas Nowotny, Andrew Philippides, Paul Graham Directors of be.AI -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

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PhD position at the University of Helsinki: Sample-Efficient Probabilistic Machine Learning
by Luigi Acerbi Dec. 17, 2020

Dec. 17, 2020

*Doctoral position in Sample-Efficient Probabilistic Machine Learning (4 years, fully funded)* The Machine and Human Intelligence research group <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> led by Assistant Professor Luigi Acerbi is looking for a PhD candidate eager to work on new machine learning methods for smart, robust, sample-efficient probabilistic inference, with applications to computational and cognitive neuroscience. The candidate will join a newly established research group at the Department of Computer Science of the University of Helsinki (Finland) with strong links to the Finnish Center for Artificial Intelligence (FCAI) <http://fcai.fi/>. Our group is developing novel machine learning approaches for approximate Bayesian inference that use only a small number of likelihood evaluations, which can be a game-changer for complex computational models or when resources are limited. A state-of-the-art framework being developed in our group is Variational Bayesian Monte Carlo (VBMC) <https://github.com/lacerbi/vbmc>, which combines Gaussian process surrogates, active learning, variational inference and Bayesian quadrature (Acerbi, *NeurIPS*; 2018, 2020). Promising thesis projects include extending the representational power of VBMC (e.g., discrete variables, more complex posteriors, higher dimension); exploiting recent advances in Gaussian process inference for superior scalability; combining VBMC with Bayesian deep learning; strengthening the connections with simulator-based inference; and exploring the theoretical properties of the framework. The position is full-time, funded for four years and will be filled as soon as possible, with a negotiable starting date in early 2021. The starting salary is 2350-2700 euros/month, depending on previous qualifications and experience. Application deadline: *January 10, 2021*. For more details and how to apply, see: https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/ph… -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence

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Cluster hire: Two Canada Research Chairs in Computational Neuroscience, University of Calgary, Canada
by Joern Davidsen Dec. 17, 2020

Dec. 17, 2020

Canada Research Chair (Tier II) in Complex Neural System Modelling Applications are invited from emerging leaders in the area of Complex Neural System Modelling, for a Tier II Canada Research Chair position in the Department of Physics & Astronomy at the University of Calgary. The successful candidate will be appointed at the rank of Assistant Professor (tenure-track) and will be nominated for a CRC Tier II Chair, which would provide a research stipend and protected time for research for up to 10 years. In alignment with the University’s Eyes High strategic vision and in support of its strategic academic and research priorities of interdisciplinarity, leadership, internationalization and creation of a dynamic research environment, the incumbent will join a university-wide community of world-class scholars under the Brain and Mental Health research strategy and the newly established Computational Neuroscience Platform. Current faculty members in that area maintain research programs in complexity science and critical brain dynamics, network neuroscience and complex network theory, dynamical systems theory and computational neuroscience, biological learning and memory formation, neuromorphic systems and nanotechnology, large data and bioinformatics, medical image processing and machine learning, and quantum neuroscience. Link: https://careers.ucalgary.ca/jobs/5915163-canada-research-chair-tier-ii-in-c… Deadline: To receive full consideration, applications should be received by February 15, 2021. Canada Research Chair (Tier II) in Computational Behavioural Neuroscience The Department of Psychology in the Faculty of Arts at the University of Calgary invites applications for a Natural Sciences and Engineering Research Council (NSERC) Canada Research Chair (CRC) Tier II in Computational Behavioural Neuroscience. The successful candidate will be appointed at the rank of Assistant Professor (Tenure-track) in the Department of Psychology. The anticipated start date is July 1, 2021. The Chair will establish and maintain an active and externally funded research program. The Chair will be expected to undertake research that investigates the neural control of behavior in model systems, and use computational techniques as an integral component of their data collection and/or analysis. Candidates with research programs directed toward understanding the mechanisms of experience-dependent plasticity of neural circuits underlying behavior are of particular interest. The Chair’s research program will be aligned with both the University of Calgary’s and the Faculty of Arts’ strategic plans. Additionally, the Chair will play an important role in teaching and research supervision of students in Psychology undergraduate and graduate programs. Service to the department, faculty, and University, is also expected, particularly in helping to build a diverse and inclusive community. Link: https://careers.ucalgary.ca/jobs/5915457-canada-research-chair-tier-ii-in-c… Deadline: Applications are accepted until January 27, 2021 --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen> www.ucalgary.ca/complexity<http://www.ucalgary.ca/complexity>

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Algorithms and SW Engineering positions at SynSense
by Dylan Muir Dec. 16, 2020

Dec. 16, 2020

SynSense is advertising several positions in our Algorithms and Applications team, to be based in Zürich, Switzerland or in Chengdu or Shanghai, China. Please see here for details: https://www.synsense-neuromorphic.com/join-us <https://www.synsense-neuromorphic.com/join-us> Our Algorithms team at SynSense is responsible for developing applications for our low-power ML inference hardware. We build, train, test and deploy ML models; collect and wrangle data sets. As part of this work we write and maintain several open-source Python packages, with accompanying automated unit testing, documentation and deployment to PyPI and Conda Forge. * Software Engineer — Package management and Python development We are looking for highly motivated candidates willing to take the lead on SW Engineering tasks and work as part of our Algorithms team. We hope that you will also contribute ML algorithms and ideas to our team, based on your experience. * Algorithms and Applications Engineer — Signal processing We are working on a variety of sound processing tasks, for implementation in smart home devices. We are looking for signal processing engineers to help us implement low-power algorithms for audio front-ends based on microphone arrays. * Algorithms and Applications Engineer — Vision applications SynSense has world-leading hardware for ultra-low-power vision processing, aimed at “edge” deployment such as in mobile phone handsets, IoT and smart home devices. We need ML Engineers to help us design, build and deploy the applications for the next generation of vision processing. You may be based in our Zürich office, or in our Shanghai or Chengdu offices. SynSense is a small but growing startup, with a healthy mix of academic and industry experts. We have a very open-minded approach to our work. Your opinions and experience won’t just be highly valued — they will be crucial for us to advance as a company. We are a highly diverse and international team, and strongly encourage applicants that will increase our diversity. We are an equal-opportunity employer. For more details of the positions and how to apply, see our website: https://www.synsense-neuromorphic.com/join-us <https://www.synsense-neuromorphic.com/join-us> Best regards Dylan Muir

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Post-doctoral position
by Steve Weisberg Dec. 16, 2020

Dec. 16, 2020

Post-doctoral position available in the Spatial Cognition and Navigational Neuroscience Lab at the University of Florida. The SCANN Lab at the University of Florida is hiring a postdoctoral researcher to do cognitive neuroscience with a general focus on spatial navigation. Please see the full job ad for more information and contact Steven Weisberg (stevenweisberg(a)ufl.edu) for more information. We will accept applications until the position is filled. https://scannlab.psych.ufl.edu/2020/12/07/the-scann-lab-is-recruiting-a-pos… -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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Open faculty position in computational neuroscience at the University of Washington
by Adrienne L Fairhall Dec. 15, 2020

Dec. 15, 2020

*Assistant Professorship in computational or theoretical neuroscience at UW* The Department of Physiology & Biophysics at the University of Washington has announced a search for a full-time faculty member at the assistant professor (tenure track) level with a 12-month service period. This position will be in the UW Center for Computational Neuroscience. We seek an individual to specialize in computational or theoretical neuroscience (note that this position is not suitable for an experimentalist due to limitations of space and startup). The successful applicant will take part in the growth of the Center, which serves as the theoretical and computational core of campus programs in neurobiology and neural engineering. We are open to a wide range of computational and theoretical approaches. The University of Washington is an excellent environment for computational neuroscience, with an active group of researchers working in this area distributed across multiple campuses, a Neuroscience program with highly quantitative experimental partners working in a wide array of systems, and excellent programs in bioengineering, mathematical biology, AI and machine learning. We have close relationships with UCSF and Berkeley through the Weill Neurohub, and with the Allen Institute for Brain Science. The UW CNC serves as the focus of a network of computational neuroscience centers in the Pacific Northwest, Canada and France. For more information, please see http://compneuro.washington.edu and https://depts.washington.edu/pbiopage/. We are committed to creating a departmental climate that embraces and benefits from the diversity of all individuals. Candidates should include a statement about how they will contribute to this environment (detailed instructions on our website). Review of applications will begin on January 4, 2021 and continue until the position is filled. The anticipated start date is July 1, 2021. Qualifications Candidates must have a Ph.D. or foreign equivalent in mathematics, physics, computer science, neuroscience or a related field. Application Instructions Application packages, including a curriculum vitae, a description of research accomplishments and plans, three letters of reference, diversity statement, and up to two papers or manuscripts as PDFs must be submitted electronically through Interfolio.

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PhD studentship on the modulation of visual processing by behaviour (Schröder Lab, University of Sussex, UK)
by Sylvia Schröder Dec. 15, 2020

Dec. 15, 2020

The Schröder Lab <https://www.sussex.ac.uk/research/labs/schroeder-lab/> at the University of Sussex, UK, offers a *PhD studentship for 42 months* starting in September 2021. We study how behaviour and internal states like arousal influence visual processing in the early visual system, in particular the retina and the superior colliculus. Based on recent discoveries that even the earliest visual signals in the brain are not purely visual (Schröder et al. 2020, Neuron <https://www.cell.com/neuron/fulltext/S0896-6273(20)30318-4>), we want to understand how the integration of visual and behavioural signals could benefit the processing of visual input and ultimately help the animal to reach its behavioural goals. Our lab works with mice as model system and uses two-photon imaging of neurons and their presynaptic inputs (axon terminals), high-density electrophysiology (Neuropixels probes), and opto-/chemogenetic manipulations to address these questions. Available projects include: (1) To discover how visual responses of different cell types in the retina and superior colliculus (receiving direct retinal input) are modulated by behaviours like running and by different states of arousal; (2) To discover the mechanisms underlying this behavioural modulation, focusing on the effects of neuromodulators like noradrenaline and serotonin. Details of the projects will be shaped by the skills and interests of the candidate. We strongly encourage collaborations with other groups at Sussex Neuroscience such as Leon Lagnado <https://lagnadolab.com/>, Tom Baden <https://badenlab.org/> and Miguel Maravall <http://www.sussex.ac.uk/lifesci/maravalllab/index>. Please submit a formal application *by 15th January, 2021*, using our online application system at http://www.sussex.ac.uk/study/phd/apply, including a CV (2-3 pages), degree transcripts and certificates, statement of interest (1 page) and names of two academic referees. On the application system use Programme of Study – PhD Neuroscience. Please make sure you include the project title and Supervisor’s name with your statement of interest on the application form. This School funded position, which covers fees and a stipend at standard RCUK rates, is open to Home / EU applicants. Ideal candidates will have a strong background in neuroscience with additional experience of quantitative data analysis. Alternatively, the candidate has a background in a physics, engineering or computer science and has a keen interest in neuroscience and performing experiments. Eligible applicants will have recently received an MSc and/or a First or high 2:1 BSc in a relevant subject. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section. Contact Emma Chorley for application enquiries (lifesciphd(a)sussex.ac.uk) Contact Sylvia Schröder <S.Schroeder(a)sussex.ac.uk> for enquiries about the project. -- Sylvia Schröder, PhD Cortical Processing Laboratory <http://www.ucl.ac.uk/cortexlab/> | University College London Cruciform Building, Gower Str, London WC1E 6AE Schröder Lab <https://www.sussex.ac.uk/research/labs/schroeder-lab/index> | University of Sussex

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Postdoctoral fellow in Computational Neuroscience investigating mechanisms of sensorimotor integration.
by Ausborn,Jessica Dec. 15, 2020

Dec. 15, 2020

Dr. Jessica Ausborn’s group at Drexel University College of Medicine, in the Department of Neurobiology & Anatomy is seeking a postdoctoral fellow for an exciting new research project to understand the underlying mechanisms of sensorimotor integration. The project involves computational modeling integrated with anatomical, electrophysiological, and behavioral data within highly accessible sensorimotor circuits of Drosophila melanogaster. The interdisciplinary collaboration with the experimental group of Dr. Katie von Reyn (School of Biomedical Engineering) will involve a variety of computational techniques utilizing cutting-edge datasets. It includes the development of biophysically detailed and more abstract mathematical models at the single neuron and network level, together with machine learning and data science techniques, to identify and describe the algorithms computed in neuronal pathways that perform sensorimotor transformations. The Ausborn laboratory is part of an interdisciplinary group of Drexel’s Neuroengineering program that includes computational and experimental investigators. This collaborative, interdisciplinary environment enables us to probe biological systems in a way that would not be possible with either an exclusively experimental or computational approach. https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research… Applicants should forward a cover letter, curriculum vitae, statement of research interests, and contact information of three references to Jessica Ausborn (ja696(a)drexel.edu<mailto:ja696@drexel.edu>). Salary will be commensurate with experience based on NIH guidelines. -------------------------------------- Jessica Ausborn Assistant Professor Department of Neurobiology & Anatomy Drexel University College of Medicine 2900 W. Queen Lane Philadelphia, PA 19129 Phone: (215) 991-8310

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2 open Postdoc positions in Embodied Cognitive Science at the Okinawa Institute of Science and Technology
by Sébastien Lerique Dec. 14, 2020

Dec. 14, 2020

Dear all, Two positions for Postdoctoral scholars are now open at the Embodied Cognitive Science Unit at OIST (Okinawa Institute of Science and Technology). Applications are welcome until the positions are filled. Note that applications for these roles as Unit technician or Staff scientist are also welcome. Please see the full announcements for details: - https://www.oist.jp/careers/data-scientist-embodied-cognitive-science-unit-… - https://www.oist.jp/careers/neuroscientist-embodied-cognitive-science-unit-… Please spread the word! Best wishes, Sébastien Lerique

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Worldwideneuro Seminars, jobs, and worldwideneuro mail list subscription.
by Tim Vogels Dec. 14, 2020

Dec. 14, 2020

Dear colleagues, Please forgive the announcement. for the seminars on worldwideneuro.com <http://worldwideneuro.com/>. I wanted to quickly let you know that you can easily receive the full weekly programme by subscribing to our mailing list. We send one email per week, on Monday mornings, so, very low spam levels. To join, send a blank email to worldwideneuro+subscribe(a)googlegroups.com <mailto:worldwideneuro+subscribe@googlegroups.com> Please let us know if you are interested in hosting a seminar series on worldwideneuo, It’s easy and a matter of minutes to add your series. Also: If your are looking for a job, or you are looking to fill one, consider posting it on world-wide.org/jobs <http://world-wide.org/jobs> Finally, while you are reading this, please note that World Wide Neuro is hosting 26 (great) seminars this week + next Monday, across 23 series. Please find the details below and mark the dates. All the best, Tim Vogels ------------ Tim Vogels Professor vogelslab.org <http://vogelslab.org/> @tpvogels +43 2243 9000 2170 Talks this week: 🗓 Monday, December 14, 2020 — 10:00 GMT Prof Fabrice Crivello > Institut des Maladies Neurodégénératives - CNRS UMR 5293 - Université de bordeaux ○ Defining new multimodal neuroimaging marker for grey matter characterization <https://www.world-wide.org/seminar/1796/> hosted by ICM Paris Brain Institute 🗓 Monday, December 14, 2020 — 12:00 GMT Dr Johanna Jackson > UK Dementia Research Institute at Imperial College London ○ Targeting the synapse in Alzheimer’s Disease <https://www.world-wide.org/seminar/1731/> hosted by Imperial Centre for Neurotechnology 🗓 Monday, December 14, 2020 — 12:00 GMT Professor Gloria Patricia Cardona-Gómez > School of Medicine at University of Antioquia, Medellín, Colombia ○ Phospholipid regulation in cognitive impairment and vascular dementia <https://www.world-wide.org/seminar/1660/> hosted by IIBCE on Brain Science 🗓 Monday, December 14, 2020 — 13:00 GMT Professor Elaine Del-Bel > Professor of Physiology,Department of Morphology, Physiology and Basic Pathology, School of Dentistry, Ribeirão Preto (FORP), University of São Paulo. ○ What about antibiotics for the treatment of the dyskinesia induced by L-DOPA? <https://www.world-wide.org/seminar/1659/> hosted by IIBCE on Brain Science 🗓 Monday, December 14, 2020 — 15:00 GMT Israel Nelken > Edmond and Lily Safra Center for Brain Sciences, Jerusalem, Israel ○ Contextual effects in the representation of complex sounds: from the inferior colliculus to higher-order cortical fields <https://www.world-wide.org/seminar/1390/> hosted by LOOPS de Hoz - Hechavarria 🗓 Monday, December 14, 2020 — 15:30 GMT Ziad Hafed > Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany ○ https://www.world-wide.org/seminar/1391 <https://www.world-wide.org/seminar/1391/> hosted by LOOPS de Hoz - Hechavarria 🗓 Monday, December 14, 2020 — 16:00 GMT Dr. Gérard Karsenty > Columbia University ○ Blurring the boundaries between neuroscience and organismal physiology <https://www.world-wide.org/seminar/1837/> hosted by Brain-Body Interactions 🗓 Tuesday, December 15, 2020 — 10:00 GMT Prof Wu Li > Beijing Normal University ○ Learning-induced changes in visual cortical processing <https://www.world-wide.org/seminar/738/> hosted by BIU Vision Science 🗓 Tuesday, December 15, 2020 — 13:30 GMT Prof Elizabeth Heller-Mesznik > University of Pennsylvania ○ https://www.world-wide.org/seminar/1821 <https://www.world-wide.org/seminar/1821/> hosted by IST Neuroscience 🗓 Tuesday, December 15, 2020 — 16:00 GMT Prof Giuseppe Testa > ○ Rethinking neuroconstructivism through brain organoids at single cell resolution <https://www.world-wide.org/seminar/838/> hosted by NeuroDev Disorders 🗓 Wednesday, December 16, 2020 — 08:00 GMT Virtual Opening > European University for Brain and Technology (NeurotechEU) ○ European University for Brain and Technology Virtual Opening <https://www.world-wide.org/seminar/1865/> hosted by Ad hoc 🗓 Wednesday, December 16, 2020 — 14:20 GMT PhD Charley Wu > Max Planck ○ Generalization guided exploration <https://www.world-wide.org/seminar/1718/> hosted by CompCogSci Darmstadt 🗓 Wednesday, December 16, 2020 — 16:00 GMT Moritz Helias > Juelich Research Center ○ Correlations, chaos, and criticality in neural networks <https://www.world-wide.org/seminar/1670/> hosted by WWTNS 🗓 Wednesday, December 16, 2020 — 16:00 GMT Prof Xinyu Zhao > University of Wisconsin–Madison ○ Targeting stem cells for neurodevelopmental disorders <https://www.world-wide.org/seminar/1347/> hosted by Seaver Autism Center 🗓 Wednesday, December 16, 2020 — 17:00 GMT Dr Melissa Coleman > Claremont McKenna ○ Neural Mechanisms of Coordination in Duetting Wrens <https://www.world-wide.org/seminar/1325/> hosted by Systems Neuroecology 🗓 Wednesday, December 16, 2020 — 17:00 GMT Prof Dirk Isbrandt > Deutsches Zentrum fur Neurodegenerative Erkrankunngen ○ Vulnerable periods of brain development in ion channelopathies <https://www.world-wide.org/seminar/299/> hosted by Experimental Epilepsy 🗓 Wednesday, December 16, 2020 — 17:15 GMT Prof Gina Poe > University of California, Los Angeles, Integrative Biology & Physiology ○ Sleep features for memory consolidation and network building across the lifespan <https://www.world-wide.org/seminar/1764/> hosted by Boston Sys Neuro 🗓 Wednesday, December 16, 2020 — 19:00 GMT Amanda McQuade > UC Irvine ○ Human TREM2 knockout microglia fail to activate towards Alzheimer’s disease pathology <https://www.world-wide.org/seminar/1472/> hosted by NeuroLaunchpad 🗓 Wednesday, December 16, 2020 — 19:30 GMT Dr. Erez Geron > NYU ○ Retrieval spikes: a dendritic mechanism for retrieval-dependent memory consolidation <https://www.world-wide.org/seminar/1473/> hosted by NeuroLaunchpad 🗓 Thursday, December 17, 2020 — 12:00 GMT Prof Gyorgy Buzsaki > NYU Neuroscience Institute, Langone Medical Center ○ Ways to think about the brain <https://www.world-wide.org/seminar/1745/> hosted by Champalimaud Colloquia 🗓 Thursday, December 17, 2020 — 16:00 GMT Udai Pandey > University of Pittsburgh ○ https://www.world-wide.org/seminar/1528 <https://www.world-wide.org/seminar/1528/> hosted by Neurodegeneration in Flies 🗓 Thursday, December 17, 2020 — 16:00 GMT Matthew Cobb > ○ https://www.world-wide.org/seminar/1308 <https://www.world-wide.org/seminar/1308/> hosted by WWNDev 🗓 Thursday, December 17, 2020 — 16:00 GMT Dr Mohamed Abdelhack > Washington University in St. Louis ○ Top-down Modulation in Human Visual Cortex <https://www.world-wide.org/seminar/1592/> hosted by SONA 🗓 Thursday, December 17, 2020 — 18:00 GMT Dr Sydney Trask > University of Wisconsin, Milwaukee ○ https://www.world-wide.org/seminar/1838 <https://www.world-wide.org/seminar/1838/> hosted by Next Gen Neuro 🗓 Thursday, December 17, 2020 — 18:00 GMT Prof Daphna Shohamy > Columbia University ○ How Memory Guides Value-Based Decisions <https://www.world-wide.org/seminar/1820/> hosted by Caltech SocDecNeuro 🗓 Thursday, December 17, 2020 — 20:00 GMT Prof Antonio Verdejo-García > Monash University, Australia ○ In-Love with Addiction Neuroscience <https://www.world-wide.org/seminar/1851/> hosted by ISAM-NIG In-love with Addiction Neuroscience World Wide Neuro is kindly supported by <https://elifesciences.org/> <https://journals.plos.org/plosbiology/> <https://fenskavlinetwork.org/> <https://www.phenosys.com/>

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PhD positions in dendritic computations (Poirazi lab)
by Yiota Poirazi Dec. 14, 2020

Dec. 14, 2020

The Poirazi lab <http://www.dendrites.gr> at IMBB-FORTH, in Crete, Greece is recruiting *two PhD students *as part of the Marie Skłodowska Curie Innovative Training Network “SmartNets <https://www.smartnets-etn.eu>” The objective of SmartNets is to provide high-level training into the functioning of biological networks to a new generation of early stage researchers, to provide them with the skills necessary for thriving careers in a burgeoning area that underpins innovative technological development across a range of diverse disciplines. This goal will be achieved by a unique combination of “hands-on” research training, non-academic placements (industrial and non-profit organisations) and courses and workshops on both scientific and complementary -so-called “soft”- skills facilitated by the academic-non-academic composition of the consortium. SmartNets brings together neuroscientists, behavioural and cognitive scientists, physicists, computer scientists, and non-profit stakeholders in order to train the next generation of data scientists that will: 1) develop a fundamental understanding of the relationship between structure and function in biological networks and 2) translate this knowledge into novel technological solutions. ESRs will develop a unique interdisciplinary set of skills that will make them capable of analyzing networks at many levels and for many systems. *Mobility Rule*: PhD students must not have resided or carried out their main activity (work, studies, etc.) in the country of the host for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention, are not taken into account. For more information about the positions and how to apply click below: Project 1: Role of dendritic nonlinearities in V1 network properties after visual learning <https://www.smartnets-etn.eu/role-of-dendritic-nonlinearities-in-v1-network…> Project 2: Role of dendritic nonlinearities in hippocampal network properties after contextual and spatial learning <https://www.smartnets-etn.eu/role-of-dendritic-nonlinearities-in-hippocampa…> - Vacancy terms: Full Time, Fixed Term starting from 1st of April 2021 for 1 year (renewable for 2 more years). - Living allowance: 34,800 € per annum (approximately 22,800 € Net). Depending on family status, successful candidates will also have mobility (600 € per month) and/or family (250 € per month) allowance, as provided by MSCA grants. - Deadline: midnight, 28th of February 2021. Shortlisted applicants will be invited for an (online) interview. For questions please contact Panayiota Poirazi, poirazi(a)imbb.forth.gr -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

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Starting a New Society for Contemplative Research
by Vago, David R (University) Dec. 12, 2020

Dec. 12, 2020

Dear computational neuroscience colleagues, we have a request for you today and an opportunity to have input into a new initiative. A group of researchers in contemplative science and humanities are planning a think tank to discuss building a new association tentatively called "The Society for Contemplative Research." This would bring together humanists, contemplative scholars and scientists from many disciplines who are working on the experience and nature of contemplative practices and their applications across a wide range of human endeavors. This includes the neuroscientific and clinical study of mindfulness, meditation, compassion, empathy, prosocial behavior, contemplation and other mind-body practices, as well as their philosophical and cultural contexts. Towards this end, we have developed a survey that will help determine the level of interest in such an association and potential forms it could take. This information will be used to inform the Think Tank process happening in 2021. Therefore we are asking you to please fill out the attached survey, which will take around 10-12 minutes of your valuable time. Many thanks for this important contribution to advancing research and scholarship in the study of contemplation. Survey link: https://redcap.link/SCR<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fredcap.li…> If you have questions, please feel free to contact us at: contemplative.info(a)gmail.com<mailto:contemplative.info@gmail.com> Many thanks, MLI Think Tank Organizing Group (https://www.mindandlife.org/grant/international-society-for-contemplative-r…<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.minda…>) ============================== David R. Vago, Ph.D. | Director | Contemplative Neuroscience & Mind-Body Research Laboratory<https://www.contemplativeneurosciences.com/> Research Associate Professor | Department of Psychology | Vanderbilt Brain Institute | Vanderbilt University Director | AWARE Labs<https://www.contemplativeneurosciences.com/aware-labs/> | Contract Research and Consulting David.vago(a)vanderbilt.edu<mailto:David.vago@vanderbilt.edu> | P: 801-647-5906 [signature_1938336465]<https://medschool.vanderbilt.edu/brain-institute/person/david-r-vago-ph-d/>[mage result for vi4 vanderbilt]<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.vumc.…> ------- Research Associate, Department of Psychiatry | Brigham & Women’s Hospital | Teaching Affliate of Harvard Medical School Functional Neuroimaging Laboratory<http://neuroimaging.bwh.harvard.edu/> | dvago(a)bwh.harvard.edu<mailto:dvago@bwh.harvard.edu>

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Second fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France
by angelo.arleo＠inserm.fr Dec. 12, 2020

Dec. 12, 2020

Second fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop data-analytic and computational modeling tools aiming at the early automated detection of biomarkers and risk assessment for age-related macular degeneration (AMD) and other eye diseases. AMD was ranked by the World Health Organization (WHO) as a priority eye disease, and it is the main cause of blindness in western countries. Despite the prevalence, rate of growth, and impact of AMD, its diagnosis is made too late: 69% AMD patients ignore their condition and 78% have irreversible loss when first diagnosed. The main objective of this doctoral project is to cross-link cellular changes in the deep retina with visual symptoms of AMD patients. The project will combine state-of-the-art live high-resolution retinal imaging using adaptive optics, electroretinogram recordings, and fine metrics of AMD-related functional visual losses in order to discover potential biomarkers of AMD onset and/or stage evolution. This project relies on a tight collaboration between visual neuroscientists and clinical ophthalmologists and it builds on the existing integration of basic vision science expertise at the Vision Institute and clinical research expertise in the Clinical Investigation Center of the Quinze-Vingt National Hospital. Requirements and eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), a keen interest in vision and be open to the possibility of conducting experiments with human patients. The ideal candidate is expected to have a strong expertise in computational models of vision, image analysis and programming (Matlab, C or Python). Previous experience in experimental data analysis and/or machine learning is a plus. Knowledge of French is desired (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Benefits The position corresponds to a full PhD appointment (36 months) with competitive salary and working conditions. It is funded by IHU FOReSight and AVIESAN-UNADEV. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. It includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. How to apply Applications should be sent to Angelo Arleo (angelo.arleo(a)inserm.fr <mailto:angelo.arleo@inserm.fr>) and Denis Sheynikhovich (denis.sheynikhovich(a)sorbonne-universite.fr <mailto:denis.sheynikhovich@sorbonne-universite.fr>). Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

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Stanford - Postdoctoral Fellowship in Computational Modeling of Cognition and Human Brain Function
by Mai-Phuong K Bo Dec. 12, 2020

Dec. 12, 2020

Please post where appropriate. Thank you. The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in computational modeling of human cognitive, behavioral, and brain imaging data. The candidate will be involved in multidisciplinary projects to develop and implement novel neuro-cognitive computational frameworks, using multiple cutting-edge methods that may include computational cognitive modeling, Bayesian inference, dynamic brain circuit analysis, and deep neural networks. These projects will span areas including robust identification of cognitive and neurobiological signatures of psychiatric and neurological disorders, and neurodevelopmental trajectories. Clinical disorders under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, and schizophrenia. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: computational, cognitive, and statistical modeling; deep learning algorithms and optimization (theory and practical implementations); statistical modeling and inference/machine learning as applied to cognitive and brain imaging data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs. Please include a CV and a statement of research interests and have three letters of reference emailed to Prof. Vinod Menon at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>. Mai-Phuong Bo Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:9a00c2c5-3f75-4d48-8d19-ec6a85fe9a8a]

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PhD positions in the lab of Rava Azeredo da Silveira in Basel
by Rava A. da Silveira Dec. 11, 2020

Dec. 11, 2020

*Openings for PhD positions in the lab of Rava Azeredo da Silveira * *(Basel)* The lab of Rava Azeredo da Silveira invites applications for *PhD* *positions* at the Institute for Molecular and Clinical Ophthalmology Basel (IOB), an associated institute of the University of Basel. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* We will start reviewing applications on 20 December 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter on motivation and interests; 2. curriculum vitæ; 3. transcripts of undergraduate and Master grades. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-PHD” in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France
by angelo.arleo＠inserm.fr Dec. 11, 2020

Dec. 11, 2020

Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop clinical endpoints of daily-life activity for low vision patients in order to assess visual restoration. The therapeutic benefits of vision restoration are usually evaluated in clinical studies using conventional functional measures such as visual field and contrast sensitivity. However, these tests are not sufficient to characterize the impact of a visual pathology on patients’ quality of life and autonomy. This project will set forth a set of benchmark measures to evaluate a range of daily life functions (locomotion, spatial orientation, posture, balance, reading) in real conditions. The goal is to identify behavioral biomarkers of the benefit of vision restoration solutions (namely optogenetic therapy and retinal implants) in visually impaired patients. The PhD candidate will work hand-in-hand with clinicians of the National Hospital Center for Ophthalmology of the Quinze-Vingts and with researchers of the Vision Institute as well as the Streetlab company. The project will be supervised by Dr. Colas Authié and Dr. Angelo Arleo. Requirements and eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), and a keen interest in behavioral neuroscience. The ideal candidate should have expertise in virtual reality, motor control, and biometric data analysis. Experience in low-vision or knowledge on machine learning and programming languages (Matlab, C or Python) are a plus. Knowledge of French is important (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Applicants must be in the first four years of their research career and they must not have lived in France more than 12 months during the last 3 years. Benefits The position is funded by the Marie Curie ITN project ENTRAIN-VISION. It corresponds to a full PhD appointment (36 months) with competitive salary and working conditions, monthly mobility allowance, and family allowance. It also provides continuing education, secondments in the private sector, training modules, and transferable skills courses. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. It includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. The Streetlab provides a panel of platforms (reproducing virtual and real environments) and standardized evaluation solutions to measure autonomy, mobility, and quality of life of visually impaired people. How to apply Applications should be sent to recruitment(a)entrain-vision.eu <mailto:recruitment@entrain-vision.eu> by January 11th, 2021, 1PM CET (Paris time). Please see https://euraxess.ec.europa.eu/jobs/585147 <https://euraxess.ec.europa.eu/jobs/585147> for details about eligibility criteria and application guidelines. For further inquiries, please contact Angelo Arleo (angelo.arleo(a)inserm.fr <mailto:angelo.arleo@inserm.fr>) and Colas Authié (colas.authie(a)streetlab-vision.com <mailto:colas.authie@streetlab-vision.com>). ***************************************************************** Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

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Tier II Canada Research Chair in Complex Neural Systems Modelling at the University of Calgary
by Volker Steuber Dec. 10, 2020

Dec. 10, 2020

The University of Calgary invites applications from emerging leaders in the area of Complex Neural System Modelling for a Tier II Canada Research Chair position in the Faculty of Science at the University of Calgary. For more information and to apply: https://science.careers.ucalgary.ca/jobs/5915163-canada-research-chair-tier… Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Open Rank Faculty Position in Applied Mathematics at Harvard University
by Cengiz Pehlevan Dec. 10, 2020

Dec. 10, 2020

Dear colleagues, I would like to attract your attentions to an open rank faculty position in Applied Mathematics at Harvard University. We welcome candidates in any area of applied mathematics broadly defined, including interfaces with neuroscience. Details can be found in here: http://academicpositions.harvard.edu/postings/9893 <http://academicpositions.harvard.edu/postings/9893> Best wishes, Cengiz — Cengiz Pehlevan SEAS, Harvard University, pehlevan.seas.harvard.edu <http://pehlevan.seas.harvard.edu/>

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Postdoctoral position in theoretical neuroscience at System Neuroscience Institute, Marseilles, France
by Christophe Bernard Dec. 9, 2020

Dec. 9, 2020

Hi, Would you be so kind as to post this postdoc offer? thanks The lab of Christophe Bernard at INS (Institut de Neuroscience des Systèmes, Marseille, France) and the lab of Demian Battaglia at INS / USIAS (Strasbourg) is looking for a postdoctoral scholar working at the interface between theoretical and experimental neuroscience. Circadian rhythms drive all organ functions, including the brain. Although we know that the molecular architecture and the cognitive performance of the brain change during the night and day cycle, what happens at the neuronal scale remains unknown. The project seeks to explore how information processing and brain dynamics change in a circadian manner in health and disease (epilepsy). The project builds upon recent findings from the lab: Clawson et al., Science Adv, 2019, Pedreschi et al., Netw Neurosci 2020 and Debski et al., Science Adv, 2020. The ideal candidate will have a background in theoretical physics (statistical or nonlinear physics) or theoretical computer science, familiar with information theory concepts. Previous experience in the analysis of large neuroscience datasets (e.g. multichannel recordings, unit or LFP data...) or the modelling of spiking neural circuits is a plus. The candidate will work with researchers performing in vivo recordings in control and epileptic animals and the Theoretical Neuroscience Group at INS (D. Battaglia, V. Jirsa). Interactions with clinicians are encouraged. If requested, the candidate will be offered the possibility to learn in vivo electrophysiology. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. The maximum duration is three years. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christophe.bernard(a)inserm.fr <http://inserm.fr/> and demian.battaglia(a)univ-amu.fr <mailto:demian.battaglia@univ-amu.fr> Christophe Why you should submit your best science to eNeuro: https://www.eneuro.org/content/overview <https://www.eneuro.org/content/overview> Christophe Bernard INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université Equipe Physionet 27 Bd Jean Moulin 13385 Marseille Cedex 05 France christophe.bernard(a)univ-amu.fr +33 4 91 32 42 49 https://ins-amu.fr/physionet <https://ins-amu.fr/physionet>

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Computational Neuroscience / Machine Learning Group Leader Call 2020 - Champalimaud Research
by Christian Machens Dec. 8, 2020

Dec. 8, 2020

CR Computational Neuroscience / Machine Learning Group Leader Call 2020 The Champalimaud Foundation (CF) invites applications for Group Leaders to join a dynamic and highly collaborative international research institute in Lisbon, Portugal. Champalimaud Research (CR) is seeking to expand its Neuroscience Programme (CNP) with one Junior Group Leader (Assistant Professor equivalent). About you We welcome applicants with expertise in modern Machine Learning and Artificial Intelligence. Suitable research areas for the recruited applicant include statistical methods for complex, high-dimensional datasets, artificial neural networks, computer vision, reinforcement learning, and control theory. We will consider candidates that work on foundational issues in these fields, as well as candidates who take more applied approaches. The ideal candidate should present a research program with both fundamental research and applied elements, and have a strong desire to collaborate with existing teams within CR and CF, including the Champalimaud Clinical Centre. Special attention will be given to applications of individuals from underrepresented groups. About the position To promote risk-taking research, generous support for salary, start-up and annual running costs will be provided. Researchers will be based at the Champalimaud Centre for the Unknown (CCU), a highly interactive and innovative scientific environment where the Neuroscience Programme is composed of groups applying a range of theoretical and experimental approaches to understand the algorithmic, physiological and circuit mechanisms of behaviour. Researchers routinely collect rich datasets ripe for development and application of new analysis tools or comparison with theory. These datasets include high dimensional neurophysiological and imaging data, to -omics, and various measures of behaviour. About us The Champalimaud Centre for the Unknown is situated on the waterfront in Lisbon. English is the official language of the Centre. Lisbon has a sunny Atlantic-Mediterranean climate, vibrant culture, international schools, convenient housing options and is considered one of the world’s safest cities. About the application Applications should include a (1) detailed scientific curriculum vitae, which may include any mentoring, outreach, or policy experiences, (2) a brief summary of past accomplishments (max. two pages), (3) a description of future research plans (max. four pages), (4) three key publications (pdf-files preferred, preprints welcome) along with (5) brief (~200 word each) descriptions of their significance, and (6) contact details for three individuals who can provide recommendation letters upon request. Applications or informal inquiries should be addressed to careers(a)research.fchampalimaud.org <mailto:careers@research.fchampalimaud.org> with the subject “Neuro GL Call 2020 – YOUR LAST NAME”. The deadline for the applications is February 28, 2021 and review of applications will begin in March, 2021. Non-discrimination and equal access policy The Champalimaud Foundation actively promotes non-discrimination and equal access, so that no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are not deemed relevant for the performance of the duties associated with the advertised position.

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"Deep Dive Into ERPs Technique" Online Course
by Mary Dec. 7, 2020

Dec. 7, 2020

Dear Researchers, Science Beam team would like to take the opportunity to invite you for “Deep Dive Into ERPs Technique” Online Course to be held on January-February 2021. This is going to be a 7-session course which is coming after the “Introduction to ERPs and ERPLAB” WEBINAR. If you haven’t taken part in the mentioned webinar, you can watch it now by clicking on the link below: https://sciencebeam.com/erplab-webinar/ In this course you will learn: • Dynamics of ERPs • Design of experiments • ERP components • Artifacts • Pre-processing steps • Principles of ERP recording • Quantifying ERP amplitude and latency The course will involve a combination of lectures, discussions, and laboratory activities. An integrated set of lectures on the fundamentals of ERPs will be given by the instructor. For more information and registering please visit the link below: https://sciencebeam.com/pragati-gupta-course/ If you need more information please don’t hesitate to contact me. workshop(a)sciencebeam.com WhatsAppNo: 008613380781282 Mary Rezaee Human Neuroscience Department Manager International Affairs Rep. www.ScienceBeam.com

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PhD studentship in Computational Neuroscience, University of Warwick, UK
by Timofeeva, Yulia Dec. 5, 2020

Dec. 5, 2020

PhD studentship in Computational Neuroscience in Computer Science Centre for Doctoral Training, Department of Computer Science, University of Warwick, UK We are seeking a PhD candidate to join a research programme, led by Prof Yulia Timofeeva in collaboration with Prof Kirill Volynski (UCL Queen Square Institute of Neurology, London), that aims to develop and implement a computational modelling framework for studying regulation of synaptic transmitter release in health and disease. The programme runs in collaboration with a number of world-leading experimental laboratories working in the field of synaptic transmission and information processing in the brain. The successful candidate should have background in applied mathematics/theoretical physics/computer science or related discipline and should have solid computational skills. Relevant references: Ermolyuk et al., Nature Neuroscience, 16, 2013; Timofeeva and Volynski, Frontiers in Cellular Neuroscience 9:239, 2015; Chamberland et al., PNAS, 115 (28), 2018. Scholarship eligibility: Home/EU Deadline: 31 January 2021 For further details please contact Prof Yulia Timofeeva (y.timofeeva(a)warwick.ac.uk) Centre for Doctoral Training and Research in Computer Science: https://warwick.ac.uk/fac/sci/dcs/research/doctoralstudies/cdtcs/ Apply via Postgraduate Admissions website mentioning this project in your application: https://warwick.ac.uk/study/postgraduate/apply/research -- __________________________________________ Professor Yulia Timofeeva Department of Computer Science and Centre for Complexity Science Warwick, UK Honorary Associate Professor UCL, Institute of Neurology London, UK Tel: 024 765 73786 http://www.dcs.warwick.ac.uk/~yulia/ __________________________________________

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Tenure-Track Assistant Professor in Applied Mathematics, Fall 2021, Brandeis University
by Catherine Broderick Dec. 4, 2020

Dec. 4, 2020

BRANDEIS UNIVERSITY Department of Mathematics invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning Fall 2021. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with the broader student, staff, and faculty, including other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by December 31, 2020. A research-intensive liberal arts university, Brandeis fosters highly collaborative science both within and between departments.The suburban campus in Waltham, MA is just 20 minutes from the bustling academic and biotechnology centers of Boston and Cambridge. At Brandeis, we believe that diversity, equity, and inclusion are essential components of academic excellence. Because diversity, equity, and inclusion are at the core of Brandeis’ history and mission, we value and are seeking candidates with a variety of social identities, including those that have been underrepresented in higher education, who possess skills that spark innovation, and who, through their scholarly pursuits, teaching, and/or service experiences, bring expertise in building, engaging, and sustaining a pluralistic, unified, and just campus community. Brandeis University is an Equal Opportunity/Affirmative Action employer that does not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, national origin, age, marital status,disability or veteran status. Applications should include an AMS cover sheet, cover letter, a curriculum vitae including a publications list, research, teaching and diversity statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org. (This position is pending budgetary approval).

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Technical editor / European Research Infrastructures for Neuroscience
by Hans Ekkehard Plesser Dec. 3, 2020

Dec. 3, 2020

Dear colleagues, The Computational Neuroscience Group at the Norwegian University of Life Sciences (www.nmbu.no<http://www.nmbu.no/>) aims to recruit a technical editor in a senior engineer position. The position is part of our contribution to the Human Brain Project (www.humanbrainproject.eu<http://www.humanbrainproject.eu/>) in building the European EBRAINS research infrastructures for neuroscience. This full-time position is available immediately and limited until 31 March 2023. As technical editor, you will be part of the EBRAINS High-Level Service Team and be responsible for coordinating and supervising the production and provision of documentation and tutorial materials for EBRAINS service offerings with the pertaining EBRAINS partners. We are looking for applicants with a master's, preferably a doctoral, degree in a STEM discipline, ideally with experience in technical writing, documentation generation systems, and neuroscience. Closing date for applications is 4 January 2021. For more information about the position and to submit your application, please see https://www.jobbnorge.no/en/available-jobs/job/196909/technical-editor-seni… Please contact Prof Hans Ekkehard Plesser (hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no>) if you have any questions concerning the position. Best regards, Hans Ekkehard -- 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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Focus on Criticality and Complexity in Brain Dynamics
by Claudius Gros Dec. 3, 2020

Dec. 3, 2020

Dear colleagues Together with Dante Chialvo, we are editing a Focus on Criticality and Complexity in Brain Dynamics Journal of Physics: Complexity Deadline 30 April 2021 https://iopscience.iop.org/journal/2632-072X/page/Focus_on_Criticality_and_… Among others, we especially interested in compact perspectives, e.g. on -- experimental and theoretical methodology -- 'critical' assessments of underlying concepts -- controversial viewpoints -- . . . We hope that the focus on brain criticality and complexity will be a place to assess where the field stands and where the fields needs to go. Please do not hesitate to contact us for any further information. We are looking forward to your contribution! Claudius Gros -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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two postdoctoral positions in mathematical neuroscience at Penn State
by Itskov, Vladimir Dec. 2, 2020

Dec. 2, 2020

Dear colleagues, Two postdoctoral positions in mathematical neuroscience are available at the Mathematics Department of Penn State University. The postdoctoral researchers will be working on two separate projects: (1) understanding the neural coding and geometry of the olfactory representations, and (2) modeling and analysis of zebrafish data. Both projects will involve research in the area of applied topology, neural networks and neural coding, spanning theory and applications. Applicants with a background in topology, algebra, combinatorics, geometry, or dynamical systems are encouraged to apply. A Ph.D. in mathematics or a closely-related field is required. Applicants should submit their materials via mathjobs site: https://www.mathjobs.org/jobs?joblist-134-16862 The start date is flexible. The review of applications will begin on December 2nd and continue until the position is filled. Please contact the PIs, Carina Curto (ccurto(a)psu.edu) and Vladimir Itskov (vladimir.itskov(a)psu.edu) for more details. Best, Vladimir Itskov

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Scientific Project Manager position at Jülich Supercomputing Centre, Germany
by Abigail Morrison Dec. 2, 2020

Dec. 2, 2020

Dear Colleagues, We have a position open for a Scientific Project Manager - European Research Infrastructures for Neuroscience at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. The successful candidate will be part of a small team that manages the Interactive Computing E-Infrastructure (ICEI) project and the EBRAINS Computing Services work package of the Human Brain Project. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-387-E… Closing date: 10 December 2020 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD position in Göttingen: Deep learning in the retina
by Ecker, Alexander Dec. 2, 2020

Dec. 2, 2020

PhD position in Göttingen, Germany: Deep neural network models to understand information processing in the retina A PhD position is available in the lab of Alexander Ecker at the University of Göttingen, Germany. Our group studies visual information processing in biological and artificial neural networks and works closely with experimental neuroscientists. At the interface of machine learning and computational neuroscience, we develop new methods and algorithms to make sense of large-scale neuroscience data and work on novel approaches to computer vision. We are looking for a highly motivated PhD student with a strong interest in developing deep learning tools for neuroscience and working closely with experimental neuroscientists. The ideal candidate has a background in computer science, mathematics or physics and experience with machine learning and deep neural networks. Prior experience in neuroscience is a plus, but not required. The project is part of the newly established Collaborative Research Center “Mathematics of Experiment” (https://www.uni-goettingen.de/en/628179.html<http://goettingen.de/en/628179.html>) and will be a collaboration with the lab of Tim Gollisch (University Medical Center Göttingen). The goal of the project is to record spiking activity from the retina under various visual stimuli (including natural stimuli) and study the signal processing in the inner retina with modern data science methods, including convolutional neural networks and deep learning. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the University, the University Medical Center, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Campus Institute Data Science (http://uni-goettingen.de/cidas) and the Bernstein Center for Computational Neuroscience Göttingen (https://www.uni-goettingen.de/en/615355.html) For more information about the research group, please visit our website: https://eckerlab.org. The position is for three years, with a possibility for extension. Please send your application to Alexander Ecker (ecker(a)cs.uni-goettingen.de<mailto:ecker@cs.uni-goettingen.de>) including a CV, a statement of what interests you in science and in the work of our research group, and contact details for two references. The University of Göttingen is an equal opportunity employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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Computational Neuralengineering Training Program at Georgia Tech/Emory
by Rozell, Christopher J Dec. 1, 2020

Dec. 1, 2020

The Georgia Tech/Emory Computational Neuralengineering Training Program (CNTP) is a collaborative partnership with the mission of training the next generation of researchers at the intersection of computational neuroscience, data science and clinical neurophysiology. The CNTP is a training program supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) to address the opportunities provided by the explosion of tools for measurement and manipulation of nervous system function and the challenges posed by neurologic disorders. Trainees in CNTP program consists of PhD students with clear interest in quantitative training and either basic or clinical study of the brain, and who are pursuing studies in any of these degree programs: Biomedical Engineering (GT and Emory), Bioengineering (GT), Electrical and Computer Engineering (GT) or Machine Learning (GT) PhD programs. In addition to the benefits of being part of the broad computational neuroscience community in Atlanta, CNTP trainees have access to a new restricted course on Clinical Experience for Engineers, regular meetings with the cohort for rich discussions in technical and professional development topics, and an annual retreat with faculty and students for deeper dives into research discussions. Fellows in the CNTP receive two years of funding which supports a rotation program between labs in the first year. Fellow applications are solicited in the spring from applicants to the degree programs listed above. To be considered for the CNTP Fellowship, all you need to do is apply to a participating graduate program and have aligned interests expressed in your research statement. Scholars in the CNTP are full members of the community with access to all of the same programming (but without the fellowship funding). Scholar applications will be solicited in the summer from students joining labs in the upcoming fall. While there are low barriers to performing interdisciplinary research across departmental boundaries, admissions are handled separately by each degree program. Students interested in participating in the CNTP program should apply to the program that best fits their goals and interests. Application deadlines are listed below, along with the CNTP training faculty affiliated with each degree program. Please contact crozell(a)gatech.edu with questions. ***DEGREE PROGRAMS*** Biomedical Engineering (GT and Emory) DEADLINE: December 1 Application information: https://www.bme.gatech.edu/bme/grad-prospective-student-apply Bioengineering (GT) DEADLINE: Same as the home school selected during application Application information: https://bioengineering.gatech.edu/applying-bioengineering-program Electrical and Computer Engineering (GT) DEADLINE: December 16 Application information: https://www.ece.gatech.edu/graduate-admissions Machine Learning (GT) DEADLINE: Same as the home school selected during application Application information: http://ml.gatech.edu/phd/admissions ***CNTP Training faculty*** --Georgia Tech-- Garrett Stanley Chris Rozell Rob Butera Hannah Choi Tim Cope Constantin Dovrolis Eva Dyer Irfan Essa Ross Ethier Bilal Haider Hang Lu Susan Margulies Cassie Mitchell Machelle Pardue Peng Qiu Annabelle Singer --Emory University-- Lena Ting Michael Borich Gordon Berman Nick Boulis Gary Clifford Bob Gross Shawn Hochman, Dieter Jaeger Shella Keilholz Robert Liu Babak Mahmoodi Svetlana Miocinovich Ilya Nemenman Chethan Pandarinath Astrid Prinz Sam Sober Thomas Wichmann

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PhD position in Göttingen: Combining retina recordings and artificial neural networks
by Gollisch, Tim Dec. 1, 2020

Dec. 1, 2020

PhD position in Göttingen: Combining retina recordings and artificial neural networks A PhD position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The group studies information processing and neural coding in the neural network of the vertebrate retina, using a combination of electrophysiological and computational approaches. Experimental methods include extracellular multielectrode-array recordings from neurons in the isolated retina (mouse and salamander), using both wild-type retinas and optogenetic retina models of vision restoration therapy. The focus of the group is to combine these experiments with novel tools for data analysis and mathematical modeling. We are looking for a highly motivated PhD student with a strong interest in combining experimental electrophysiology, computational neuroscience, and analysis of artificial neural networks. Experience in computer programming is a plus. The project is part of the newly established Collaborative Research Center "Mathematics of Experiment" (https://www.uni-goettingen.de/en/628179.html) and will be a collaboration with the lab of Prof. Alexander Ecker (University of Göttingen, Institute of Computer Science). The goal of the project is to record spiking activity from the retina under various visual stimuli (including natural stimuli) and analyze the retinal signal processing with modern data science methods, including convolutional neural networks and deep learning. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the University, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen (https://www.uni-goettingen.de/en/615355.html) and of the Collaborative Research Center "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) For more information about the research group, please visit the group's website: https://www.retina.uni-goettingen.de/. The position is for 3 years, with a possibility for extension. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV, a statement of what interests you in science and in the work of our research group, and contact details for two references. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

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GEM 2021 - Call for papers - deadline extended
by Vinita Samarasinghe Nov. 30, 2020

Nov. 30, 2020

The deadline to submit abstracts for the GEM 2021 workshop has been extended until 30.11.2020. Please visit https://easychair.org/cfp/gem2021 to submit your abstracts for both the main workshop and the PhD symposium. ** *GEM 2021 - Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 The workshop will take place in virtual space and is free of charge. Abstracts for both the workshop and the PhD symposium, which will precede the workshop, are now being accepted via EasyChair https://easychair.org/cfp/gem2021 Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - Syracuse University, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Call for papers The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for papers for its first workshop on generative episodic memory. We invite submissions for talks and posters https://easychair.org/cfp/gem2021. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Paper submission deadlines [GMT +1 (CET)]: Abstract submission - 30.11.2020 Notification of acceptance - 31.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de <mailto:for2812@rub.de> Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de

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[jobs] Postdoc and internship position at AI Lab, Novaquark, Montreal (possibility for remote work)
by Pierre-Yves Oudeyer Nov. 26, 2020

Nov. 26, 2020

Novaquark AI Lab, Postdoc or PhD-level internship open position Title: Intention modeling and joint attention for deep reinforcement learning agents interacting with non-expert caretakers Supervision: Jean-Christophe Baillie Team: Novaquark AI Lab, Montréal Duration: 12-36 months for postdocs, 6 months for PhD-level internships, starting early 2021. Location: in Montréal Lab, or in remote. Keywords: Deep reinforcement learning; language grounding; artificial curiosity; developmental AI; joint attention Details: https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view <https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view> How to apply: contact ailab(a)novaquark.com with a CV and letter of motivation.

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NEUROTECH Webinar: What are the hardware opportunities for neuromorphic engineering?
by Elisa Donati Nov. 25, 2020

Nov. 25, 2020

We are back with the second NEUROTECH educational webinar on Neuromorphic Computing Technologies! We will have one hour of educational material followed by a panel discussion on the open challenges in the field. Please see below the details and please spread the word! ----- At the second webinar, Prof. Johannes Schemmel, Prof. Jennifer Olson Hasler, Dr. Elisa Vianello and Dr. Bert Jan Offrein will be answering the question “What are the hardware opportunities for neuromorphic engineering?”. Join us on the 1st of December at 16:00 CET. Sign up here for free: https://neurotech.iniforum.ch/educational/ <https://neurotech.iniforum.ch/educational/> ------------------------------------------------------------------------ About NEUROTECH: Our mission is to catalyse research and collaboration in NCT. Today's neuromorphic community in Europe is leading the state of the art in this domain. The community counts an increasing number of labs that work on theory, modelling, and implementation of neuromorphic computing systems. The NEUROTECH Project will create a Cartography of NCT in Europe, explore Roadmaps for its development, collect educational and information resources on NCT, and inform about upcoming and previous events. https://neurotech.iniforum.ch <https://neurotech.iniforum.ch/> NEUROTECH Educational Webinar: As part of the NEUROTECH project, the Educational Team is organizing a webinar series on neuromorphic computing technologies. The objective is to collect educational material about the field but also hold discussions with the experts about how the field started, how it evolved, where it’s going and how it’s going to shape the future industrial landscape. Follow us on LinkedIn: NEUROTECHAI and Twitter: JoinNeurotech ————————————————————————— Elisa Donati, PhD Research Fellow Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch, eldonati(a)ethz.ch Phone: +41 0446353061 Website: www.ini.uzh.ch/people/elisa

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Open positions in Computational Neuroscience and ML (Denmark / UK)
by Diego Vidaurre Nov. 25, 2020

Nov. 25, 2020

Dear all, Apologies for cross-posting. Funded by an ERC grant, I have two open postdoc positions in my lab in Aarhus University in collaboration with Oxford University, to develop new methods on machine learning and Bayesian time series modelling, with application to specific problems in computational neuroscience. The deadline is on the 30th of May. The positions are initially for 1y, but the idea is to offer longer funding, for up to 5y. https://health.au.dk/en/about-health/vacant-positions/job/postdoc-in-integr… Many thanks d

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CFP: FLAIRS 2021 Special Track Neural Nets and Datamining, May 16-19, N Miami Beach, FL
by David B Nov. 24, 2020

Nov. 24, 2020

Covid Update: FLAIRS will virtualize some or all of the conference,as necessary. FLAIRS is an interdisciplinary conference featuring a double-blind review and free tutorials, sponsored by the Association for the Advancement of Artificial Intelligence (AAAI) www.FLAIRS-34.info May 16-19, 2021 DoubleTree Ocean Point Resort & Spa, North Miami Beach, Florida, USA Paper submission deadline: February 16, 2021 This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Who might be interested? Papers and contributions are encouraged for any work related to Neural Networks and Data Mining. What kind of studies will be of interest? This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy LogicApplications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Feature extraction and selection. 5. Post-processing techniques such as visualization, summarization, or trending. 6. Preprocessing and data reduction. 7. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Submission Instructions Submitted papers must be original, and not submitted concurrently to a journal or another conference. Full oral presentation papers may be up to 6 pages, short poster presentation papers up to 4 pages, and abstract only poster presentations up to 250 words. Submissions for special tracks, workshops, tutorials, and discussion panels are also welcome. Papers must be in AAAI format, and submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site http://www.flairs-34.info/. The proceedings of FLAIRS-34 will be published by Florida Online Journals (https://journals.flvc.org/) In order for a paper to be published in the proceedings, the paper must be accompanied by at least one AUTHOR REGISTRATION. It is also expected that for a full (i.e., maximum 6-page) paper, at least one of the authors will attend the conference to present their work. In order for a poster to be presented at the conference, it must also be accompanied by an AUTHOR REGISTRATION. Organization Conference Chair: Keith Brawner, Army Research Lab, USA Roman Barták, Charles University, Czech Republic Program Co-Chairs: Eric Bell, USA Fazel Keshtkar, St John’s University, USA

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Closed-Loop Deep Learning with Robotics, NECO Vol 32, No 11
by Sama Daryanavard (PGR) Nov. 23, 2020

Nov. 23, 2020

Dear Colleagues, In our paper we present Closed-Loop Deep Learning which combines the power of deep learning and classical control to create an efficient analogue multi-layered fast learning paradigm, for robotic navigation. At the heart of this algorithm is an error signal that arises from a reflex which is delicately used to both drive the closed loop system and train the deep learner simultaneously. Through mathematical derivation in z-space we show how to implement back-propagation in a closed-loop system. Preprint: https://arxiv.org/abs/2001.02970 Neural Computation (final version): https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01317?journalCode=n… Please do not hesitate to get in touch for a copy of the paper and to discuss your thoughts. Warmest Regards, Sama Daryanavard Dr Bernd Porr Biomedical Engineering Division, School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

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PhD programs in computational and theoretical neuroscience at the University of Washington
by Adrienne L Fairhall Nov. 23, 2020

Nov. 23, 2020

Looking for PhD opportunities? Join the vibrant, collaborative theoretical/computational neuroscience community at University of Washington in Seattle! Research areas span the full spectrum of scales, mechanisms, and functions of the brain — from the cellular biophysics of computation to brainwide models of neural processing and cognition to next-generation brain/computer interfaces. The Computational Neuroscience Center <https://cneuro-web01.s.uw.edu>, directed by Adrienne Fairhall and Eric Shea-Brown, is a hub for research in mathematical and computational neuroscience, connecting researchers at the University of Washington across campus and to the extended neuroscience community in the Pacific Northwest including the Allen Institute <https://alleninstitute.org/what-we-do/brain-science/>. UW is home to the Center for Neurotechnology <http://www.csne-erc.org/>, a leader in BCI technologies and neuroethics, and a member of the Weill Neurohub <https://www.weillneurohub.org/>, which collaboratively links UW with researchers with the neuroscience communities at UCSF and UC Berkeley. Specialized training is available in data science through the eScience Institute <https://escience.washington.edu>. Please visit our webpage <https://cneuro-web01.s.uw.edu> to learn more about faculty research interests and our wide range of community activities. The neuroscience community at UW is interdisciplinary, and students have the freedom to work across departments. Programs of interest to students wishing to study computational neuroscience include (w/ computational faculty in bold): NEUROSCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=76>(Deadline Nov. 30): faculty include Nick Steinmetz, Wyeth Bair, Anitha Pasupathy, Beth Buffalo, Bing Brunton, Ione Fine, David Gire, Jeff Ojemann, Adrienne Fairhall, Eric Shea-Brown, Jeff Riffell, Steve Perlmutter, Fred Rieke, John Tuthill COMPUTER SCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=29> (Deadline Dec. 15): faculty include Raj Rao APPLIED MATH <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=3> (Deadline Dec. 15): faculty include Eric Shea-Brown, Nathan Kutz, Eli Shlizerman, Bing Brunton, and Adrienne Fairhall as well as Allen Institute affiliate faculty Michael Buice and Stefan Mihalas BIOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=641> (Deadline December 1): faculty include Bing Brunton, David Perkel, Jeff Riffell, Tom Daniel ELECTRICAL ENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=213> (Deadline Dec. 15): faculty include Chet Moritz, Amy Orsborn, Azadeh Yazdan-Shahmorad, Howard Chizeck BIOENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=14> (Deadline Dec. 1): Faculty include Amy Orsborn, Azadeh Yazdan-Shahmorad, Jay Rubinstein PSYCHOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=97> (Deadline Dec. 1): Faculty include Sheri Mizumori, Ariel Rokem, David Gire, Ione Fine, Geoff Boynton, Eliot Brenowitz, Andrea Stocco BIOSTATISTICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=177> (Deadline December 1): Faculty include Daniela Witten and Ali Shojaie PHYSICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=95> (Deadline Jan 5. ): faculty include Adrienne Fairhall, Fred Rieke

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IEEE WIE ILS - ITALY: virtual event on Dec 15th, 2020
by Michela Chiappalone Nov. 23, 2020

Nov. 23, 2020

Dear friends and colleagues, we would like to let you know about this *free of charge* virtual IEEE Women in Engineering (WIE) event which will be held on December 15th 4.00PM CET. We will present two case studies of leader women in STEM and we will create awareness on mental health problems, especially arising in the research community. More information, the full speaker list and registration page can be found at this link: https://wieils-italy.eu/ IEEE WIE mission is to connect and to advance women in technology at all points in their life and career. WIE periodically organizes International Leadership Summits (ILS), providing leading-edge professional development sessions focusing on leadership, innovation, technology, and entrepreneurship that aims to inspire and advance mid-level and senior technical professionals globally. The December 15th virtual event is part of IEEE WIE International Leadership Summit (ILS) that was supposed to take place this year in Genova (Italy). Due to the pandemic, the live event has been postponed to November 2021 and further notice on it will be provided in the next months. Thank you for your kind attention and looking forward to your participation! Best regards, Michela Chiappalone & Marianna Semprini, organizers IEEE WIE ILS ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD Researcher Rehab Technologies IIT-INAIL Lab Phone : +39 010 71781743 E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.iit.it…>

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Tenure-Track Assistant Professor Position in Neuroscience and Behavior
by Sébastien Hélie Nov. 21, 2020

Nov. 21, 2020

Department of Psychological Sciences Tenure-Track Assistant Professor Position in Neuroscience and Behavior Date Available: August 2021 Principal Duties: Purdue University’s Department of Psychological Sciences invites applications for a tenure-track Assistant Professor position in Neuroscience and Behavior to begin in the Fall of 2021. The successful candidate will be expected to develop a program of nationally recognized research and teach undergraduate and graduate level courses. You can learn more about our department at our website: https://www.purdue.edu/hhs/psy/. Qualifications: The candidate must have a Ph.D. in psychology, neuroscience, or a related field and should have appropriate postdoctoral experience. Candidates should have a strong publication record, a research program with a high likelihood of obtaining external funding, and potential for teaching and mentoring excellence. We are particularly interested in candidates whose research is at the intersection of neuroscience and aging, but we will consider all candidates who conduct research in neuroscience, broadly defined. The College & University: The Department of Psychological Sciences is the largest Department in the College of HHS (http://www.purdue.edu/hhs/) which is the second largest college at Purdue. The department's graduate program in Neuroscience and Behavior was recently restructured to integrate research in human neuroscience within the program's traditional focus on (non-human) animal neuroscience. The Psychological Sciences faculty have strong connections with centers, institutes, and resources across campus, including the Life Science MRI Facility (https://www.purdue.edu/hhs/mri/) the Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL; https://www.purdue.edu/hhs/cerebbral/) the Purdue Institute for Integrative Neuroscience (PIIN; https://www.purdue.edu/discoverypark/institute-for-integrative-neuroscience/) and the Center on Aging and the Life Course (CALC; https://www.purdue.edu/aging/about) Established in 1869, Purdue is Indiana’s land-grant university, a comprehensive educational and research institution and member of the American Association of Universities. The West Lafayette campus, located one hour north of Indianapolis and two hours south of downtown Chicago, has ten academic colleges with an enrollment of 44,500 students from over 133 countries. The diverse greater Lafayette/West Lafayette community (http://www.homeofpurdue.com) has a population of approximately 200,000, and a low cost of living. Application Procedure: Applications must include (1) a cover letter of interest, (2) a curriculum vitae, (3) a research statement, (4) three peer-reviewed research articles, (5) a teaching statement, and (6) a diversity, equity, and inclusion statement (see below), and 7) contact information for three references. Application materials should be submitted by January 6th, 2021 for full consideration. Review of applications will continue until the position is filled. A background check is required for employment in this position. Questions regarding the position may be sent to Dr. Julia Chester, Chair of the Search Committee (jcheste(a)purdue.edu) Interested candidates should apply to https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=12135&compan…. Purdue University’s Department of Psychological Sciences is committed to advancing diversity in all areas of faculty effort including discovery, instruction, and engagement. Candidates should address at least one of these areas in the separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. Equal Opportunity: Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Associate Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 / DLR 331 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ ----------------------------------------------------------------

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Postdoctoral position in computational neuroscience at UCSF and Lawrence Berkeley National Laboratory
by Kirst, Christoph Nov. 21, 2020

Nov. 21, 2020

The lab of Christoph Kirst<https://profiles.ucsf.edu/christoph.kirst> at UCSF<https://weill.ucsf.edu/> and the Lawrence Berkeley National Laboratory<https://www.lbl.gov/research-areas/> is looking for a postdoctoral scholar working at the interface between theoretical neuroscience and neuromorphic computing. The project seeks to explore mechanisms underlying dynamical self-reconfiguration of neuronal networks in brains and machines. Areas of interest are broad and include adaptive processing in dynamically self-reconfiguring neuronal networks, coordination of large scale distributed computation as well as energy efficient neuromorphic hardware. A potential research direction is to explore oscillatory mechanisms to coordinate computation and implement those into neuromorphic hardware of super-conducting oscillators. The ideal candidate would be capable of creating novel ideas and frameworks for flexible analog computation in neuronal and artificial networks. Experience with computation in dynamical systems, theoretical and experimental neuroscience, machine learning, neuromorphic computing or hardware design are advantageous. Interactions between researchers at UC San Francisco, UC Berkeley and at LBNL are encouraged. Postdoctoral researchers will have access to allocations on some of the world-leading supercomputers including Cori, and Perlmutter (Berkeley/NERSC). The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial, or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christoph.kirst(a)ucsf.edu. Application review will proceed until the position is filled. Christoph Kirst Assistant Professor Department of Anatomy Kavli Institute for Fundamental Neuroscience University of California San Francisco Faculty Scientist Lawrence Berkeley National Laboratory Sandler Neuroscience Building 675 Nelson Rising Lane, Suite 514G San Francisco, 94158, CA, USA Phone: 415-502-7372 https://profiles.ucsf.edu/christoph.kirst [cid:b1051939-2ae0-4294-a389-d3100054eba7]

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Job Posting: MindCORE Research Fellowship for Postdoctoral Scholars at the University of Pennsylvania (apply by Jan 14)
by Calvert, Heather J Nov. 20, 2020

Nov. 20, 2020

MindCORE Research Fellowship for Postdoctoral Scholars MindCORE (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts & Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy, computer science or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. Fellows are also encouraged to pursue collaborative research with faculty working across disciplines at Penn. Benefits Fellows receive a competitive salary, relocation allowance, health insurance plus a modest research budget. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one year terms renewable for up to three years. Eligibility & Application * Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment. Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn (https://mindcore.sas.upenn.edu/people/faculty-and-associates/) with whom the applicant would be interested in collaborating, along with a CV and contact information for two referees. * Submitted documents should be saved with candidate's Lastname_Firstname.PDF in one PDF file in this order: research statement, CV, referees (name, affiliation, email address). Complete applications should be submitted through the form on our website: https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/. Questions can be emailed to pennmindcore(a)sas.upenn.edu<mailto:pennmindcore@sas.upenn.edu> * Applications due January 14, 2021. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: * Scientific excellence * Scientific match and interdisciplinarity * Career potential MindCORE awards ~2 post-doctoral Fellowships per year. Positions may start as early as July 1, 2021. Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. Thank you for posting/sharing! Heather J. Calvert (she / her) Executive Director, MindCORE, University of Pennsylvania Penn's hub for the integrative study of the mind. hcalvert(a)sas.upenn.edu<mailto:hcalvert@sas.upenn.edu> https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE

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The KiloNeurons ERC project: post-doctoral and PhD research positions in theoretical neuroscience
by Yoram Burak Nov. 20, 2020

Nov. 20, 2020

The Burak Lab at the Hebrew University is recruiting *post-doctoral research associates* and *graduate students* in theoretical neuroscience to take part in an *ERC Synergy* research project led by Edvard Moser (NTNU) and Yoram Burak (HUJI). The €10M *KiloNeurons* project is a collaborative endeavor bringing together theoretical and experimental researchers from the two labs, aiming to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Team members at HUJI will develop theories of neural network dynamics and methodologies for interpretation of large scale neural recordings. Experimental data will be collected in the Moser Lab, and analyzed in close collaboration between the labs. Research will be conducted at the *Edmond and Lily Safra Center for Brain Sciences*, offering a superb intellectual environment for interdisciplinary brain research, with a strong emphasis on systems and computational neuroscience. The Burak Lab is affiliated also with the *Racah Institute of Physics*. Extensive interaction, including research visits, will take place with the *Kavli Institute for Systems Neuroscience* (Trondheim, Norway). *Postdoctoral research positions* Candidates for postdoctoral positions must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as familiarity with research in computational neuroscience are advantageous, but not individually required. We are looking for candidates with excellent abilities in theoretical research, strong intellectual curiosity and drive, and an interest in relating theory to experimental data. *To apply for postdoctoral research positions*Please send the following information to yoram.burak(a)elsc.huji.ac.il in a *single PDF file*: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Please include the text 'POSTDOC_APPLICATION' in the subject header of the email. *Deadline*: For full consideration, applications must be received by December 21, 2020. *Graduate student positions*Candidates for graduate student positions must have an excellent record from their undergraduate studies in physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. We are looking for candidates with an excellent ability to learn new topics and with superb intellectual curiosity and drive. Students can join through the physics Ph.D. program at the Racah Institute of Physics, or the Ph.D. program in brain sciences at the Edmond and Lily Safra Center. Other graduate study programs at the Hebrew University may be appropriate, depending on the background of the candidate. *To apply for graduate student positions*Please send the following information to yoram.burak(a)elsc.huji.ac.il in a* single PDF file*: 1. Curriculum vitae 2. Grade transcripts from undergraduate studies and, if applicable, M.Sc. studies 3. Brief statement (up to one page) describing why you would like to join the project as a graduate student 4. M.Sc. graduates: please provide the names and contact details of two references Please include the text 'PHD_APPLICATION' in the subject header of the email. *Deadline*: University deadlines and possible starting dates depend on the specific program joined. For full consideration in this search please apply by December 21, 2020. *See also*: https://www.buraklab.me/kiloneurons https://sciencebusiness.net/network-updates/ntnu-eu10m-erc-synergy-grant-no…

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Assistant Professorin Computational Neuroscience (W1) with tenure track option (to W2) - Institute of Cognitive Science, Osnabrueck
by Prof. Pipa Nov. 20, 2020

Nov. 20, 2020

The School of Human Sciences at Osnabrück University seeks to appoint, at the Institute of Cognitive Science, an Assistant Professor (m/f/d) in Computational Neuroscience at the earliest possible date. This tenure-track Professorship is funded by the German Federal Government under its Program for the Promotion of Young Academics (Tenure-Track Program). Research experience in the field of experimental and computer aided Human Cognitive Neuroscience, proven by a publication record in recognized scientific journals is expected. Further, on the theoretical side, significant experience in training and analysing deep neural networks as models of brain functions is required. Experimental work should cover a variety of methods, including, e.g., EEG, MEG, fMRI, TMS and Eyetracking, combined with advanced analysis by machine learning methods. Research should be in the area of experimental and computer aided Cognitive Neuroscience. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (currently, the RTG Situated Cognition, RTG Computational Cognition, and SIDDATA) and should participate in the respective continuation research proposals. In addition, the professorship should represent the complete range of the subject in both research and teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Osnabrück University is a certified family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. You can find more information here. https://www.uni-osnabrueck.de/universitaet/stellenangebote/professuren-junio rprofessuren/ For further information, please contact Prof. Dr Gordon Pipa, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application by January 03, 2021 (bewerbungfb08(a)uni-osnabrueck.de enter the code word "CN" in the subject of your e-mail ) We look forward to receiving your application. ---------------------------------------------------------------------------- ----------------------------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

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Call for 2021 Telluride Neuromorphic Cognition Engineering Workshop Topic Area Proposals
by Emre Neftci Nov. 20, 2020

Nov. 20, 2020

The Telluride Neuromorphic 2021 Workshop Organizers are soliciting topic area proposals for the 2021 Telluride Neuromorphic Cognition Engineering Workshop ( https://sites.google.com/view/tellurideneuromorphic2021/home ) which will run from June 27 to July 16 2021. Details of the call can be found here: https://docs.google.com/document/d/1oVU27pg-O3hIRepgfx1GnrZawiDhG6zNBsTty_k… Important upcoming dates: - 17.12.2020: Proposer's Day (5pm CET (9am USA Mountain Time). We will answer questions from prospective proposers about the topic area organization. - 01.15.2021: Deadline for Topic Area Proposals. -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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PhD opportunity: Neurocomputational mechanisms of decision making
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for a *fully-funded, 4-year PhD* position in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab, to simon.kelly(a)ucd.ie. The PhD position is intended to start in Sept 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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2 Postdoc positions: Neurocomputational mechanisms of decision making
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for two 3-year postdoctoral positions in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab. Please submit these materials through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ - search for job ref number *012812*), before the *deadline of Jan 11 2021*. The positions are intended to start in April/May 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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Postdoc position in decision neuroscience: Multi-site project
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for a 3-year postdoctoral research position in the Kelly lab in University College Dublin, to work on a collaborative Tripartite project on the neural mechanisms of perceptual decision making, jointly funded by Science Foundation Ireland, HSC-Northern Ireland and the U.S. National Institute of Mental Health. The overall, multi-site project involves non-human primate neurophysiology (Michael Shadlen in Columbia University), intracranial human EEG (Stephan Bickel in Northwell-Hofstra School of Medicine), biologically based neural network modelling (KongFatt Wong-Lin, Ulster University), human fMRI (Redmond O’Connell in Trinity College Dublin) and human EEG (Simon Kelly in UCD), with several planned visits and regular interactions among labs, and diverse skill-building opportunities. The primary focus of the postdoc position in UCD is to contribute insights using human EEG, in close alignment with, and with contributions to, the experiments conducted in other modalities and at the other sites. A key focus of the project is to understand the role of neural representations of cumulative evidence that are abstracted from specific motor requirements, and to find out where and how such representations are computed in the human and non-human primate brains. Interested candidates should submit a brief research statement and CV including publications through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ – search for job ref number 012810). Informal enquiries can be directed to Simon (simon.kelly(a)ucd.ie) Candidates should explain in their statement how their own research interests fit with those of the Kelly lab and why they are suited to this particular multi-site neuroscience project. The deadline for submitting applications is Dec 16 2020, and shortlisting and interviews will take place shortly after that. It is hoped that the candidate can start on this project early in the new year. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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postdoc position at Georgia Tech
by Rozell, Christopher J Nov. 19, 2020

Nov. 19, 2020

A postdoctoral position in computational neuroscience is available in the lab of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to advance the field of closed-loop computational neuroscience by pioneering the use of real-time feedback stimulation during experiments to decouple recurrently connected circuit elements and make stronger causal inferences about circuit interactions. This position will have a broad opportunity to develop models and algorithms that are implemented in novel experiments using closed-loop optogenetic stimulation. We aim to provide both new scientific insight about computation in neural circuits (especially sensory coding in the thalamo-cortical circuit) as well as new approaches and algorithmic tools for the community to use in novel electrophysiology experiments. This position will work as part of a team and in close collaboration with the experimental lab of Garrett Stanley (also at Georgia Tech), and it is expected that the computational and algorithmic approaches will be implemented experimentally through close partnership with experimentalists in the Stanley Laboratory. Applicants should hold a PhD in a related discipline with a strong record of research impact, quantitative thinking and collaborative work. Experience in computational neuroscience, machine learning, feedback control, and causal inference is all advantageous. The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. This particular project is part of the Collaborative Research in Computational Neuroscience program (CRCNS), providing access to a community of researchers across the country who are focused on similar types of collaborations between computational and experimental labs. Georgia Tech's campus in the heart of midtown Atlanta, which has a thriving and collaborative neuroscience community that has a particular emphasis on computational and systems neuroscience. Atlanta is also one of the fastest-growing metropolitan areas in the United States, boasting a wide range of opportunities for recreation and culture. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The position would ideally start as soon as possible (spring 2021). The appointment is initially for 12 months with the expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to crozell(a)gatech.edu with the subject line "CRCNS postdoc". Application review will proceed until the position is filled and should be received by December 1 for full consideration. http://siplab.gatech.edu/CRCNS_postdoc_ad.html

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Postdoctoral fellow in Computational Neuroscience investigating mechanisms of sensorimotor integration.
by Ausborn,Jessica Nov. 19, 2020

Nov. 19, 2020

Dr. Jessica Ausborn’s group at Drexel University College of Medicine, in the Department of Neurobiology & Anatomy has a postdoctoral position available for an exciting new research project involving computational models of sensorimotor integration based on neural and behavior data in Drosophila. The interdisciplinary collaboration with the experimental group of Dr. Katie von Reyn (Drexel School of Biomedical Engineering) will involve a variety of computational techniques including the development of biophysically detailed and more abstract mathematical models together with machine learning and data science techniques to identify and probe the algorithms computed in neuronal pathways that perform sensorimotor transformations. The Ausborn laboratory is part of an interdisciplinary group of Drexel’s Neuroengineering program that includes computational and experimental investigators. This collaborative, interdisciplinary environment enables us to probe biological systems in a way that would not be possible with either an exclusively experimental or computational approach. https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research… More details on how to apply can be found here: https://careers.drexel.edu/en-us/job/495192/postdoctoral-researcher ----- Jessica Ausborn Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

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PhD with Bristol Neural Computation Hub
by Cian O'Donnell Nov. 19, 2020

Nov. 19, 2020

The Bristol Neural Computation Hub, University of Bristol, UK is looking to recruit to a number of EPSRC-funded PhD studentships for a Sept/Oct 2021 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group with strong collaborative links with local and international groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting projects to offer in our respective research areas: Laurence Aitchison (http://www.gatsby.ucl.ac.uk/~laurence/) gaussian processes and deep learning. Jeff Bowers (https://jeffbowers.blogs.bristol.ac.uk) deep learning as models of cognition. Conor Houghton (https://conorhoughton.github.io) information theory, decision making and affective state and linguistics. Nathan Lepora (http://lepora.com) robotics, neuroscience, biomimetics. Cian O’Donnell (https://odonnellgroup.github.io) synaptic plasticity, autism, statistical methods for neural data. Rui Ponte Costa (https://neuralml.github.io) credit assignment in cortical circuits. More details on the group here: https://bristolcnu.github.io/research/ Bristol is one of the top places to live and work in the UK and so we urge you to apply or to recommend this opportunity to suitable students. Anyone interested should contact one of us to discuss potential project and their application as early as possible; there are notes on the application process below; the final application would need to be submitted by 15th Jan 2021. All the best, Conor, Nathan, Cian, Rui, Laurence, and Jeff ___________ Information on the studentships: http://www.bristol.ac.uk/engineering/postgraduate/funding/sceem-studentships International students (including EU who haven’t lived in the UK) are very much eligible to apply but the process will be more competitive as only maximum 30% of the studentships are open for them. The remainder of these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) Students should contact one of us before applying as you would need our nomination and also time to develop their project proposal with us. The selection itself goes through a two step process, students are first accepted as PhD students by the University and are then considered for funding within the School. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and select "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by the deadline.

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Online workshop series - Neural Control: From data to machines
by plan4act Nov. 18, 2020

Nov. 18, 2020

We are pleased to announce that registration is now open for the remaining sessions of our ongoing workshop series *Neural Control: From data to machines* with weekly Zoom-sessions each Thursday morning at 10am (CET) throughout November and December. It's not too late to register for tomorrow's session (*Nov 19th*)! Topic: Movement disorders leave individuals unable to control parts of their bodies, creating a disconnect between their brain and the world around them. This workshop series looks at how neural activity can be mapped to control smart systems, producing desired movements on demand. To discuss the implied problems and solutions, we have brought together experts from the different involved scientific fields. Details and registration at: https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/ <https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/> Confirmed Speakers: * *Dario Farina* * *Silvestro Micera* * *Tonio Ball* * *Nick Ramsay* * *Juan Álvaro Gallego* * *Florentin Wörgötter* * *Alexander Gail* * *Christian Tetzlaff* * *Michael Fauth* * *Tomoki Fukai* * *Petra Ritter* * *Valerio Mante* * *Hans Scherberger* * *Gordon Cheng* * *Poramate Manoonpong* * *Jan-Matthias Braun* * *Eugenio Gaeta* * *Daniel Durstewitz* * *Yukie Nagai* Please forward to anyone who may be interested. Best, Florentin Wörgötter and Christian Tetzlaff

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Fully-funded PhD Position in Cognitive Neuroscience
by Alireza Soltani Nov. 17, 2020

Nov. 17, 2020

Fully-funded PhD Position in Cognitive Neuroscience The Cognitive and Affective Neuroscience Lab and the Computational and Cognitive Neuroscience Lab at Dartmouth have a joint, fully-funded PhD position for a motivated student to work on an exciting project on understanding how interactions between belief, expectation, and prior experience shape learning about reward and pain, process of belief formation, and how expectation or reward and pain influences perception and learning. The project is a collaboration between two labs and involves a combination of human experiments and computational modeling. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) and/or Tor Wager (Tor.D.Wager(a)dartmouth.edu) To apply, please visit the PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> Relevant references: Soltani, Khorsand, Guo, Farashahi, Liu (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 Jepma, Koban, van Doorn, Jones, Wager (2018). Behavioural and neural evidence for self-reinforcing expectancy effects on pain. Nature human behaviour, 2(11):838-55.

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[Journals] 1st CFP: Special Issue on "Theory of Mind in Humans and in Machines"
by Bogdan Ionut Cirstea Nov. 16, 2020

Nov. 16, 2020

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK) and Prof. Barbara Jacquelyn Sahakian (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 3rd of April 2021. 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. The submission of abstracts is not mandatory and the deadline is the 4th of December 2020. 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>

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PhD and Postdoc Positions in Computational/Theoretical Neuroscience (Western University)
by Lyle Muller Nov. 16, 2020

Nov. 16, 2020

The lab of Lyle Muller (http://mullerlab.ca) in the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario) has multiple PhD positions and one postdoctoral position in computational and theoretical neuroscience. NeuroNex Postdoctoral Scholar: This scientist will work with an international NeuroNex consortium<https://www.nxwm.io> studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Joint PhD position with Julio Martinez-Trujillo<https://martinez-trujillo-uwo.ca>: This scientist will join a growing marmoset electrophysiology program in the Martinez-Trujillo lab, where multichannel arrays will record neural spiking activity at high spatial and temporal resolution during sensory and cognitive tasks. These multimodal experiments will be complemented by computational analyses and models collaboratively developed in the two labs. Joint PhD position with Wataru Inoue<https://www.schulich.uwo.ca/physpharm/people/faculty/Bio%20Pages/inoue_wata…>: This scientist will develop a real-time interface between recorded neurons and computational models of these single cells. The candidate will then use these “dynamic clamp” recordings to study how the properties of single cells are shaped by network activity and how network activity is in turn shaped by these properties. Research in this project will involve developing intracellular recording paradigms in conjunction with single neuron and spiking network models. Candidates interested in the lab’s research are additionally encouraged to contact the PI to discuss other projects of interest. Research in the lab utilizes a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Graduate students can apply through the departments of Applied Mathematics or Neuroscience. Interested candidates (both graduate and postdoc) can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV to arrange an interview. Review of applications will begin on 15 December. BrainsCAN has an upcoming Graduate Studentship<https://brainscan.uwo.ca/programs/graduate_studentship_program/index.html> (deadline 4 January 2021) for highly talented candidates. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged. BrainsCAN has an upcoming EDI Postdoctoral Special Call<https://brainscan.uwo.ca/programs/pdf_special_call/index.html> (deadline 4 December 2020), and any interested applicants can write the PI directly to discuss applications for this opportunity. -- Lyle Muller http://mullerlab.ca

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Postdoctoral Fellow/Research Associate Position in Computational Neuroscience and Biomechanical Modeling
by Danner,Simon Nov. 16, 2020

Nov. 16, 2020

We are looking to fill a Postdoctoral Fellow/Research Associate position in Computational Neuroscience and Biomechanical Modeling at the Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA. Our group studies the spinal locomotor circuitry and its interactions with the musculoskeletal system and afferent feedback. The qualified postdoc will work on several collaborative, interdisciplinary, NIH-funded projects to uncover the connectivity and function of somatosensory afferents and various genetically or anatomically identified interneurons. The studies involve the development of computer models of mouse, rat, and cat biomechanics connected with models of the spinal locomotor circuitry. The successful candidate will closely collaborate with other computational and experimental neuroscientists: they will use experimental data to implement and refine the model, and use the model to derive predictions that will then be tested experimentally by our collaborators. The qualified candidate will benefit from joining a well-funded research group that works in a dynamic, collaborative and interdisciplinary environment. The highly collegial Danner lab is a member of the Neuroengineering Program, the Theoretical & Computational Neuroscience group, and the Spinal Cord Research Center within Drexel University College of Medicine’s Department of Neurobiology and Anatomy (http://drexel.edu/medicine/About/Departments/Neurobiology-Anatomy/) in Philadelphia, PA. The Department provides an outstanding scientific environment for multidisciplinary training. Interactions and collaborations between labs and between other departments are encouraged. More detailed information can be found here: https://careers.drexel.edu/en-us/job/495193/postdoctoral-researcher To apply, please email a current CV and contact information for 3 references to smd395(a)drexel.edu<mailto:smd395@drexel.edu>. The position will remain posted until filled. -- Simon M. Danner Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

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Special Research topic in Frontiers of Neuroscience: “Symmetry as a Guiding Principle in Understanding Neural Information Processing.”
by Benedetta Franceschiello Nov. 16, 2020

Nov. 16, 2020

*S**pecial Research topic in Frontiers of Neuroscience. Guest editors: T. Poggio (MIT),F. Anselmi (BCM), A. Patel (BCM), A. Tacchetti (Deep mind)* *Title: *“Symmetry as a Guiding Principle in Understanding Neural Information Processing.” Researchers are invited to submit papers for this special edition. For more information, or to submit a manuscript, please visit URL: https://www.frontiersin.org/research-topics/15343/symmetry-as-a-guiding-pri… Submission deadline: April 13, 2021 The aim of this Research Topic is to cover promising, recent, and novel research trends regarding on the role of symmetry in shaping the learning/ information processing and neuronal organization in the brain, within a theoretical and computational perspective. Areas to be covered in this Research Topic may include, but are not limited to: - New architectures beyond convolutional networks: biologically plausible sensory representations that are simultaneously selective for object identity and invariant to nuisance variation (including but not limited to group transformations, beyond translations) in mammalian cortex. - Sample complexity and invariant representations: is the brain using symmetries to perform efficient computation? - Variants of common plasticity rules or new class of rules that incorporate sensory data symmetries: how can the brain discover data symmetries and learn to represent sensory input in an invariant way? - Role of time continuity, crucial in the sensory experience, in defining classes of symmetries (implicit unsupervised labelling For questions, please contact Prof. Fabio Anselmi via email: Fabio.Anselmi(a)bcm.edu

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You are invited to EEG/ERPs recording and analyses WEBINAR
by Maryam Nov. 16, 2020

Nov. 16, 2020

“EEG/ERPs recording and analyses A multifaceted approach to EEG signal” Dear researchers, We are pleased to announce the upcoming webinar organized by ScienceBeam. Please also share with interested students and researchers. Date and Time: December 1st, 11:00 AM CEST Speaker: Dr. Raphaël Fargier ➢ PhD in Cognitive Neuroscience, Université Claude Bernard Lyon 1 ➢ Post-doctoral fellow at Aix-Marseille University-LPL Highlights: • Basics of EEG recording and pre-analyses • Multifaceted approach to EEG signal processing ➢ ERPs ➢ Microstates (Spatio-temporal segmentation) ➢ Single-trials ➢ Oscillations (Time-frequency decomposition) • Case studies “Electrophysiology of language”: how EEG can inform on how words are learned, produced and understood You don’t want to miss this webinar! Save your seat via the link below: https://sciencebeam.com/raphael-fargier-webinar/ Can’t attend live? You should still register. We’ll send out the recording after the webinar to all the registrants. If you need more information please contact us: workshop(a)sciencebeam.com WhatsAppno: 008613380781282

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Fully-funded PhD Position in Computational and Cognitive Neuroscience
by Alireza Soltani Nov. 15, 2020

Nov. 15, 2020

Fully-funded PhD Position in Computational and Cognitive Neuroscience The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth has a fully-funded PhD position for a motivated student to work on an exciting project on the role of attention in reward-based learning. The project involves a combination of human experiments and computational modeling. Experimentally, it aims to extend our previous studies that examined learning with multiple cues (Soltani et al, 2016) and multi-dimensional cues (Farashahi et al, 2017; Farashahi et al, 2020). In terms of computational modeling, the aim is to extend current mechanistic models (c.f., Soltani et al, 2016 and Farashahi et al, 2017) as well as recurrent neural networks to better understand the role of attention in learning from high-dimensional stimuli and how complex learning strategies emerge over time. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) To apply, please visit the Dartmouth PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> For more recent publications from the lab please visit http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Relevant references: 1. Soltani A, Khorsand P, Guo CZ, Farashahi S, Liu J (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 2. Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications, 8:1768. 3. Farashahi S, Xu J, Wu S-W, Soltani A (2020). Learning Arbitrary Stimulus-Reward Associations for Naturalistic Stimuli Involves Transition from Learning about Features to Learning about Objects. Cognition, 205.

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Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by Yukie Nagai Nov. 13, 2020

Nov. 13, 2020

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and have the opportunity to pursue interdisciplinary research integrating computer science, robotics, neuroscience, cognitive science, and psychology. If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-lab… Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2023. 4. Place of Work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Scientific Liaison Officer position open at Jülich Supercomputing Center, Germany
by Abigail Morrison Nov. 12, 2020

Nov. 12, 2020

Dear colleagues, we have a position open for a Scientific Liaison Officer for EBRAINS at the Jülich Supercomputing Center, Jülich Research Center, Germany. We are looking for candidates with excellent communication skills, a strong scientific background and computing skills to both promote EBRAINS in the neuroscientific community, and trigger development activities within the Human Brain Project to ensure the requirements of the community are being met. For a full description and details of how to apply, the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-359-E… Closing date: 1.12.2020 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Brain Connectivity Workshop 2021
by Tanya Brown Nov. 11, 2020

Nov. 11, 2020

After careful deliberation, and based on the latest public health authority information on COVID-19, along with swirling uncertainties regarding travel and gatherings, we have decided to host the next Brain Connectivity <https://bcw-2021.com/>Workshop <https://bcw-2021.com/> online. We are pleased to announce that it has been rescheduled for *MAY 25-28, 2021. *We a im to make this event accessible and inclusive and the timing of the schedule will aim to satisfy a global audience. Registration for the Brain Connectivity Workshop 2021 is Now Open <https://bcw-2021.com/register>. **Spots are limited in order to facilitate discussion throughout the workshop** This year we will revisit that primordial theme from a different perspective: *"What does the mind think of the brain?"* focusing the discussions around what we have learned about our mind over the last 20 years of brain connectomics. The topics will focus on *consciousness and cognition*, looking at the tripartite relationship between anatomical connectivity, brain dynamics and cognitive function. *SPEAKERS* | Dani Bassett | Gustavo Deco | Athena Demertzi | Andreea Diaconescu | Lisa Feldman Barrett | Emily Finn | Karl Friston | | Mike Halassa | Biyu Jade He | Sean Hill | Viktor Jirsa | Michael Mack | Randy McIntosh | Bratislav Misic | | Rosalyn Moran | Petra Ritter | Mac Shine | Enzo Tagliazucchi | Giulio Tononi | Brandon Turner | Please check the BCW website <https://bcw-2021.com/> for more details about the *program* and *speakers* <https://bcw-2021.com/details>. *REGISTER TODAY* <https://bcw-2021.com/register> We hope you can join us, along with leaders in the field of brain connectomics. The BCW 2021 Organizers www.bcw-2021.com

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Data scientist position in the Cardona lab at the LMB
by Andrey Stoychev Nov. 11, 2020

Nov. 11, 2020

The lab of Dr Albert Cardona (https://www2.mrc-lmb.cam.ac.uk/group-leaders/a-to-g/albert-cardona/) is seeking to recruit a junior data scientist -- for lack of a more appropriate name -- to work on connectomics in the Drosophila fly and in many other organisms at the MRC Laboratory of Molecular Biology in Cambridge, UK. This is a 3-year, full-time position that's all about imagery: from electron microscopy volumes to laser-scanning microscopy. Duties include data handling, image registration, segmentation with machine learning, synapse detection, and more. More information can be found in the following ad, which is now closed, but will reopen soon: https://mrc.tal.net/vx/mobile-0/appcentre-int/brand-3/candidate/so/pm/1/pl/…. Please note that this ad claims that a PhD is necessary, but that's not at all a requirement. It also claims this position is for a postdoc, which is also not correct. Enquiries should be sent to Dr Albert Cardona at acardona(a)mrc-lmb.cam.ac.uk. Applications should be either sent directly to Dr Albert Cardona, or submitted through the ad linked above (when it reopens).

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Postdoc positions in Computational/Systems Neuroscience at Washington University in St Louis
by Geoffrey Goodhill Nov. 11, 2020

Nov. 11, 2020

POSTDOC POSITIONS IN THE NEW GOODHILL LAB AT WASHINGTON UNIVERSITY In 2021 I am starting a new Computational, Systems and Developmental Neuroscience lab at Washington University in St Louis (USA) and several postdoc positions will be available. The lab will primarily focus on the formation of neural circuits underlying behavior. This will include developing novel experimental, computational and theoretical methods, and applying them to domains including hunting behavior, social behavior and sleep. The lab will be fully integrated between experimental and theoretical work, performing behavioral and calcium imaging experiments with zebrafish models, and will also have collaborations with other labs working on a range of model systems. Besides questions in basic neuroscience, a particular area of focus will be the circuit perturbations that underlie Autism Spectrum Disorders. For a list of previous publications see www.goodhill.org/pubs.html<http://www.goodhill.org/pubs.html> For these positions particularly suitable backgrounds include computational neuroscience, systems neuroscience, zebrafish neuroscience, optical physics, or more generally physics, applied mathematics, engineering and computer science. Washington University in St Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. The lab will be based at the Medical School between the departments of Neuroscience and Developmental Biology, but also expects to develop strong links with the Faculty of Engineering and departments of Mathematics and Physics. If you would like to discuss these positions further please contact me at my current address below, including a detailed CV and cover letter explaining your interest. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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postdoc position to study spike dynamics in the thalamus during sleep and memory
by Carmen Varela Nov. 10, 2020

Nov. 10, 2020

We are looking for a talented and highly motivated postdoc interested in studying the *dynamics of thalamic cell ensemble activity during learning and memory in rodents. *One of the goals in the Varela lab is to investigate the spike dynamics and brain states that allow animals to learn and make sense of their environment. https://www.varelalab.org/ The postdoctoral researcher will gain expertise in systems and behavioral neuroscience using extracellular electrophysiology and behavior to study the spike dynamics associated with sleep-dependent memory consolidation. Possibility of contributing to additional collaborative projects. We are a small young lab and highly interactive; we love what we do and work closely to support and help each other succeed. The lab is located in the beautiful Jupiter campus of Florida Atlantic University, a rapidly growing neuroscience hub that also holds our partners, the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. *Requirements:* PhD with experience in electrophysiology and rodent models; outstanding interpersonal skills and motivation to work in a collaborative environment. Experience with MATLAB (or other programming languages) preferred. Candidates selected for an interview will be asked to provide contact information for three references. Start date flexible, January-May of 2021. *Interested applicants, please submit your curriculum to Carmen Varela: varelac(a)fau.edu <varelac(a)fau.edu>* FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. -- *Carmen Varela, Ph.D.* Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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Phd project in Brighton, UK, within SoCoBio's 4-year doctoral training program
by Sylvia Schröder Nov. 10, 2020

Nov. 10, 2020

Within SoCoBio‘s 4-year doctoral training program <https://southcoastbiosciencesdtp.ac.uk/>, the labs of Sylvia Schröder <https://www.sussex.ac.uk/research/labs/schroeder-lab/index> and Leon Lagnado <https://lagnadolab.com/> are offering the following Phd project in collaboration with their industrial partner, Scientifica <https://www.scientifica.uk.com/>: * **“Integration of visual and behavioural signals in the early visual system”* In this project, you will discover how retinal, cortical and neuromodulatory inputs shape the responses of visual neurons in the superior colliculus. The goal of your Phd project is to understand the mechanisms of signal integration, i.e. which inputs to the superior colliculus shape its neural activity, and the advantages of this integration for visual processing. You will use two-photon imaging in awake mice to simultaneously record activity of neurons in the superior colliculus as well as of axons originating in the retina, visual cortex, or brainstem nuclei such as the dorsal raphe (serotonin). You will compare the responses of the axonal inputs to those in the neurons, and you will observe how these signals change depending on the visual input and the behaviour of the animal. In the beginning of your project, you will develop an advanced imaging technique in collaboration with our industrial partner, Scientifica. You will adapt the existing two-photon microscope to image two separate fields of view simultaneously. This technique, termed multi-region imaging, will enable you to record inputs and outputs of superior colliculus at sufficient detail, speed, and quantity. Application to the program: https://southcoastbiosciencesdtp.ac.uk/ <https://southcoastbiosciencesdtp.ac.uk/> Project description: https://southcoastbiosciencesdtp.ac.uk/project/integration-of-visual-and-mo… <https://southcoastbiosciencesdtp.ac.uk/project/integration-of-visual-and-mo…> For further information, contact sylvia.schroeder(a)ucl.ac.uk

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13 fully-funded PhD positions for "SmartNets"
by Fleur Zeldenrust Nov. 9, 2020

Nov. 9, 2020

Dear all, The "SmartNets <http://www.smartnets-etn.eu>" consortium is looking for a total 13 PhD students studying network computation. The objective of SmartNets is to provide high-level training into the functioning of biological networks to a new generation of early stage researchers, to provide them with the skills necessary for thriving careers in a burgeoning area that underpins innovative technological development across a range of diverse disciplines. This goal will be achieved by a unique combination of “hands-on” research training, non-academic placements (industrial and non-profit organisations) and courses and workshops on both scientific and complementary -so-called “soft”- skills facilitated by the academic-non-academic composition of the consortium. SmartNets brings together neuroscientists, behavioural and cognitive scientists, physicists, computer scientists, and non-profit stakeholders in order to train the next generation of data scientists that will: 1) develop a fundamental understanding of the relationship between structure and function in biological networks and 2) translate this knowledge into novel technological solutions. The PhD students will develop a unique interdisciplinary set of skills that will make them capable of analyzing networks at many levels and for many systems. There are positions across 5 countries and institutes (Fleur Zeldenrust, Radboud University, the Netherlands; Tansu Celikel, Radboud University the Netherlands; Julijana Gjorgjieva, Max Planck Gesellschaft, Germany; Iain Couzin, Max Planck Gesellschaft, Germany; Yiota Poirazi, Foundation for Research and Technology, Greece; Georges Debrégeas, Sorbonne Université, France; Joni Dambre, Ghent University, Belgium). For more information, please refer to https://www.smartnets-etn.eu/vacancies/ Best regards, Fleur Zeldenrust -- Fleur Zeldenrust Assistant Professor Department of Neurophysiology Donders Institute for Brain, Cognition and Behaviour Faculty of Science, Radboud University Heyendaalseweg 135, postvak 33, kamer 02.204 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl

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Master + PhD offer: A computational model of the retino-thalamo-cortical pathway
by Bruno Cessac Nov. 9, 2020

Nov. 9, 2020

The new French Agence Nationale de la Recherche (ANR) project "ShootingStar" aims at studying the unexplored neuroscience and psychophysics of the visual perception of fast (over 100 deg/s) motion, and incorporating these results into models of the early visual system. This project involves the Integrative Neuroscience and Cognition Center (Paris), the Institut des Neurosciences de la Timone (Marseille), the vision Institute (Paris), NeuroPsi (Paris) and the INRIA Biovision team (Sophia-Antipolis). In this context B. Cessac (Biovision) and A. Destexhe (NeuroPsi) aim at developing a retino-thalamico-cortical mean-field model of the primary visual system. We have a funding for a PhD, that can be preceded by a 6 month Master 2 internship. We are seeking talented, curious and open-minded young scientists with strong backgrounds in physics or computer science, strong interests in neuroscience, and solid skills in programming (C++ and Python). The application deadline is 30th December 2020. For more detail please visit: [ https://team.inria.fr/biovision/files/2020/10/2020-internship-M2-shootingst… | https://team.inria.fr/biovision/files/2020/10/2020-internship-M2-shootingst… ] Bruno Cessac Directeur de Recherche Inria-Senior scientist Head of BIOVISION team 2004 Route des Lucioles 06902 Sophia Antipolis Cedex 2 Email: bruno.cessac(a)inria.fr Phone: +33-4-9238-5035 Fax: +33-4-9238-7845 Webpage: https://team.inria.fr/biovision/bruno-cessac/

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Free Online Seminar: How to build your own Connectome?
by Markus Butz-Ostendorf Nov. 6, 2020

Nov. 6, 2020

Dear List, My apologies for cross-postings first of all! I would like to draw your attention to our second online seminar on Connectomics. We have invited our clinical neuroimaging specialist Dr Yong Li from Biomax Brain Science to demonstrate how brain tumors change the human Connectome and how the Connectome heals after tumor surgery. Abstract at the end of this message. The seminar takes place online on Tue, 10 Nov 2020 at 3pm (CET). Participation is free of charge but registration is kindly requested via this link https://www.biomax.com/webinar Explore NICARA yourself by registering a free demo account at https://ssl.biomax.de/nicara/ Kind regards, Markus == *Abstract* Brain damage such as tumors, traumatic brain injury or stroke alter the characteristics of the broader connectome—the map of all neural connections in the brain. A hot topic in ongoing research using the connectome approach is how brain rewiring can compensate for lesion-induced cognitive deficits before and after intervention. The site of a lesion within the connectome is critical. Damage of a node that acts e.g. as an integrator hub of several subnetworks is significantly more detrimental to cognitive functions than a damaged node with low connectivity or existing by-passes. Understanding brain rewiring in response to lesions is the major focus of clinical as well as computational neuroscience projects (such as The Virtual Brain) to pave the way for personalized medicine in neurology and related fields. In this online seminar we will focus on brain tumors and explore their effects on the connectome using NICARA™. A particular image processing pipeline in NICARA, employing the best available open-source tools for image preprocessing and probabilistic fiber tracking, enabled us to automatically extract full brain tractography based structural connectome data from DTI raw images. Besides the pipeline, we will discuss quality control mechanisms especially designed for the assessment of large cohorts. As an example, data set we used the Brain Tumor Connectomics Data (Aerts H et al. Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain. eNeuro. 2018 Jun 4;5(3): ENEURO.0083-18.2018.) and assessed alterations in major white matter fiber tracts before and after surgery. For quantification, provided not only the abstract presentation of digitalized connectome networks in MNI space by a 3D lattice graphs but also offered fiber density maps directly in the patient’s native T1w for a precise judgement of fiber pathway density distribution in the vicinity of, and remote to, a tumor. Our clinical neuroimaging specialist Dr. Yong Li will further show how he uses NICARA to explore, manage and compare extracted connectome networks for group comparisons, individual patient-matched controls comparisons and longitudinal assessments. NICARA is a novel neuroimaging tool created by clinical neuroimaging scientists for clinical and translational neuroscience users. A technical introduction by product manager Dr. Markus Butz-Ostendorf at the end of the seminar on how NICARA stores and retrieves connectome information using of knowledge models will complement the scientific presentation. The seminar will take place on November 10, 2020 at 3:00 p.m. (CET) and will last about 45 minutes. Make use of this opportunity and register today at www.biomax.com/webinar. Next seminar for Pharmacologists : 1/12/2020, 3:00 pm To register, please go to https://www.biomax.com/webinar and request your access data via the webinar page. We are looking forward to meeting you. -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf@biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/

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COSYNE 2021: Abstract submission closes soon; Registration info
by Tomas Hromadka Nov. 5, 2020

Nov. 5, 2020

==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 24 - 26 February 2021 www.cosyne.org ==================================================== The Cosyne abstract deadline is just one week away! Abstracts are due November 12, 2020 by 11.59pm PST. This year, because of the generous support of donors, we will be able to make registration low- or no-cost for a large number of attendees. Registration will open after final decisions are made on abstracts in January 2021. Registration rates will be $25 for students and postdocs, $100 for all other academics, and $150 for corporate attendees. We will have a fee waiver open for >1000 registrants. We will share additional details as support is finalized in the next few weeks. If you would like help revising your abstract before the deadline, or helping provide feedback to others, please consider joining the Cosyne Mentoring Forum! Rainer Engelken and Stephanie Palmer are organizing a google group to offer positive, constructive critiques of abstracts, along with "pro tips" for conveying the ideas and impact in your work effectively. Please sign up to review abstracts and submit your own for feedback. You can email sepalmer [at] uchicago.edu directly and also join the Cosyne mentoring group. Visit Cosyne.org -> Mailing lists for details on how to join the group. ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. Cosyne 2021 will take place online, February 24 - 26, 2021. The goal of this year's meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks chosen from submitted abstracts, and interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- COSYNE 2021 TUTORIAL ---------------------------------------------------- Cosyne 2021 main meeting will be preceded by an online Cosyne Tutorial Session led by Kanaka Rajan (Icahn School of Medicine at Mount Sinai) on 23 February 2021. More details will be posted on www.cosyne.org. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Tutorial Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) PROGRAM COMMITTEE Athena Akrami (UCL) Demba Ba (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Christine Constantinople (NYU) Saskia De Vries (Allen Institute) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Annegret Falkner (Princeton) Kevin Franks (Duke) Tim Hanks (UC Davis) Ann Hermundstad (Janelia) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Cris Niell (U Oregon) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montreal) Kanaka Rajan (Icahn School of Medicine at Mount Sinai) Robert Rosenbaum (Notre Dame) Christina Savin (NYU) Marshal Shuler (Johns Hopkins) Daniela Vallentin (Max Planck Munich) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Grant For Equipping Electrophysiology Labs
by Maryam Nov. 5, 2020

Nov. 5, 2020

Dear researchers, We are happy to announce that in order to accelerate neuroscience researches, ScienceBeam, a designer and manufacturer of neuroscience applications including EEG/ERP, QEEG, Neuro-Biofeedback and animal electrophysiology systems, is providing limited number of grants (30% - 70%) for equipping the neuroscience/electrophysiology laboratories to any young researcher with a well-defined research proposal. We particularly want to encourage outstanding candidates to apply for the ScienceBeam grant. We are also very keen to invite graduate students, who are towards the end of their Ph.D. and desire to return to their country to promote research in the field of Basic and Clinical Neuroscience. This Grant is offered for the below equipment: ➢ Neuro-biofeedback device ➢ Animal electrophysiology system ➢ EEG/QEEG/ERP acquisition system Consider the below terms and conditions: • Researches related to diagnosis and treatment of sensorimotor disorders (Multiple Sclerosis (MS), Alzheimer’s disease, and Parkinson) • Researches related to diagnosis and treatment of psychological and cognitive disorders. • Researches related to diagnosis and treatment of mental and nervous rehabilitation. To apply for any above grants please consider the following points: • Candidates should have a Ph.D. in neuroscience, physiology, pharmacology, psychology, medical engineering, and any related area. • Interested candidates must send an email request to grant(a)sciencebeam.com including their resumes and research proposal. • Candidates should submit a cover letter, a curriculum vitae, a list of publications, and a clear research proposal describing her/his research plan for two next year’s describing why they need our products. • Young candidates should arrange for two letters of recommendation sent on their behalf to grant(a)sciencebeam.com • All materials must be submitted to grant(a)sciencebeam.com until December 1st, 2020. For more information visit the link below: https://sciencebeam.com/mid-autumn-festival/ And submit your resume and research proposals to: grant(a)sciencebeam.com

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Virtual Training Webinar: Introduction to the Neuroscience Gateway Using NEURON and EEGLAB; November 20, 2020; 9:30 AM - 12:30 PM US Pacific Time
by Majumdar, Amitava Nov. 4, 2020

Nov. 4, 2020

Date of Neuroscience Gateway training webinar: Friday, November 20, 2020 Time: 9:30 AM - 12:30 PM US Pacific Time Registration is free (but total registration is limited): https://www.sdsc.edu/event_items/202011_NSGwebinar.html The Neuroscience Gateway (NSG<https://www.nsgportal.org/index.html>) enables large scale modeling and data processing research in neuroscience. NSG provides easy to use web portal based and programmatic access to supercomputing and high throughput computing resources. NSG is free and open to researchers and students. NSG provides about 20 widely used neuroscience software<https://www.nsgportal.org/software.html> for modeling, simulation, data processing, data analysis and machine learning optimally installed on supercomputing and high throughput computing resources. Neuroscientists who plan to use NSG for their research, irrespective of which of the NSG-provided neuroscience software they may use, will find this webinar useful. This webinar will provide training on how to use the NSG and its various features within the context of two widely used neuroscience software for modeling and data processing - NEURON and EEGLAB. The NEURON<https://neuron.yale.edu/neuron/> simulation environment is used by researchers and students worldwide for building and using computational models of neurons and networks of neurons. EEGLAB<https://sccn.ucsd.edu/eeglab/index.php> is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics. We will also talk about a new supercomputer called Expanse<https://www.sdsc.edu/services/hpc/expanse/> that is becoming available to NSG for running these software. NSG is funded by the US National Science Foundation and National Institutes of Health. Agenda (listed in Pacific Time) * 9:30am - 9:50am: Introduction to NSG * Amit Majumdar, Kenneth Yoshimoto, Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 9:50am - 10:10am: Demo of using NSG - via the portal and the programmatic REST access * Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 10:10am - 10:35am: Introduction to NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:35am - 10:55am: Demo of using NSG for NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:55am - 11:10am: Break * 11:10am - 11:30am: Introduction to EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 11:30am - 12:10pm: Demo of using NSG for EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 12:10pm - 12:30pm: Q&A For questions, please email nsghelp(a)sdsc.edu -Amit Majumdar NSG Team San Diego Supercomputer Center University of California San Diego

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Two year postdoctoral position in Computational Neuroscience at the European Neuroscience Institute
by Jaramillo, Jorge Hernan Hoyos Nov. 4, 2020

Nov. 4, 2020

Dear Colleagues, The Distributed Neural Dynamics and Control group at the European Neuroscience Institute (ENI) in Göttingen, Germany invites applications for a two year postdoctoral position focused on the simulation of subcortical and cortical dynamics in the context of cognitive function and clinical applications. A quantitative background and programming skills are required (e.g., PhD in Computational Neuroscience, Physics, Engineering), while experience with dynamical systems and previous exposure to neurobiology are preferred. Details of the position and application instructions can be found here: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=3… Application deadline: 15 Nov, 2020 Start: January 2021. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. For any questions about the position, please contact Jorge Jaramillo ( j.jaramillo(a)eni-g.de ). Jorge Jaramillo ENI Group Leader: Distributed Neural Dynamics and Control http://www.eni-g.de/groups/distributed-neural-dynamics

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Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing, Stralsund, Germany
by André Grüning Nov. 4, 2020

Nov. 4, 2020

In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project" we are offering a 24months fixed-term postdoctoral post, available immediately. ‍The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at <mailto:andre.gruening@hochschule-stralsund.de>. ‍Welcome to the University of Applied Sciences Stralsund! With our campus on the shores of the Baltic Sea, we deliver industrial related studies with excellent job prospects to about 2300 students. Life on our campus is characterised by excellent facilities for both teaching and research and flat hierarchies. The historical centre of the UNESCO world heritage town of Stralsund is within easy reach on foot; maritime water sports, nature and the island of Rugia at our doorstep stand for the highest quality of life. As a certified family-friendly institution we embrace modern life and a proper work-life balance. We are looking forward to meeting people who are keen to strengthen our research team and are advertising the following fixed-term post, subject to confirmation of funding: **Research Assistant (f/m/d) in the EU-funded research project “The Human Brain Project”** The post is available immediately for 24 months (full-time) for a postdoctoral candidate. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that utilise the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry. The work will be carried out in close cooperation with research groups across Europe that are partners in the Human Brain Project, for example groups at the Universities of Heidelberg, Bern or Manchester. **Your job responsibilities include the following:** - Development, implementation and evaluation of learning rules for artificial spiking neural networks with the aim to realise deep learning on neuromorphic hardware. - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project “The Human Brain Project”, see <https://www.humanbrainproject.eu/> in the area described above. - Participation in project management and reporting. **We expect from you:** - A PhD in a relevant area, for example computer science, mathematics, physics, cognitive science and neuroscience or engineering. - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus. - Experience within the area of artificial neural networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Experience with Unix-like operating systems and tool chains. - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus. - Experience with presenting research results. - Solid mathematical expertise. - A conscientious, independent and self-motivated attitude towards work. **We offer:** - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - A work contract subject to the collective labour agreement of the public service of the German federal states (TV-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 40 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof André Grüning (E-Mail: <mailto:andre.gruening@hochschule-stralsund.de>). According to §68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate’s request. If desired, please include such request in free form within your application documents. Please send your job application with all relevant documents in a single pdf file to <mailto:bewerbungpersonal@hochschule-stralsund.de> or by mail to Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund on or before the **deadline of 15.11.2020**. Thereafter applications will be reviewed until the post is filled. The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations. As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expenses, including those arising for a potential interview. -- Prof. Dr. André Grüning -- Mathematik und Künstliche Intelligenz Fakultät Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany

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NEURON Virtual Course deadline approaching
by Ted Carnevale Nov. 4, 2020

Nov. 4, 2020

*What:* The one-day NEURON course presented as a series of short webinars. *When:* The webinars will run from 1 PM to 3 PM New York time on Monday and Tuesday, Nov. 16 and 17, and on Monday and Tuesday, Nov. 23 and 24, 2020 *Speakers:* Ted Carnevale and Robert McDougal Registration is on a first-come, first-serve basis, and the deadline is Friday, November 13, 2020 at 5 PM New York time. There is no fee, but *total registration will be limited to 40 individuals* in order to be most responsive to participants' questions. For more information and a link to the application form: https://neuron.yale.edu/neuron/static/courses/nrn2020/nrn2020.html

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Deadline extended to Nov. 15th Postdoctoral position for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.
by Jochem Rieger Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open post-doc level position for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure for open data data and reproducible science based on the BIDS standard. The position complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. We are looking forward to applications, Jochem The Neuroimaging Unit at the School of Medicine and Health Sciences of the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a *Postdoctoral Research Associate m/f/d *(Salary level E13 TVL, 100%) *for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible*for a duration of three years (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. In a newly funded project we aim to implement data storage and processing pipelines for reproducible science building on the BIDS standard. 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 contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts, and dissemination. Therefore, 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 the outstanding quality of their doctorate/PhD research and an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMR 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. 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*15th of November 2020*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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computational neuroscience postdoc at Harvard
by Sam Gershman Nov. 3, 2020

Nov. 3, 2020

The Gershman lab <http://gershmanlab.webfactional.com> at Harvard University is seeking a postdoctoral fellow to work on modeling of the basal ganglia and dopamine function. The postdoc will work closely with experimentalists as part of an NIH-funded U19 grant. Candidates must have a strong background in computational neuroscience and reinforcement learning models. Experience with neural data analysis is desirable but not required. The start date for this position is on or around September 1, 2021, but this can be flexibly adjusted as needed. The position is fully funded for 3 years. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Interested applicants should contact Sam Gershman (gershman(a)fas.harvard.edu) along with a CV and list of references.

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faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at McMaster University
by Sue Becker Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open faculty position at the Assistant Professor level in Computational Approaches to Psychology, Neuroscience and Behaviour. The candidate could conduct computational research in a wide range of areas. Please see the job advert and the link below for details. https://careers.mcmaster.ca/psp/prepprd/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SC… Please feel free to share this with others who may be interested. thanks and best wishes, Sue -- Sue Becker, Professor Neurotechnology and Neuroplasticity Lab, PI Dept. of Psychology Neuroscience & Behaviour, McMaster University www.science.mcmaster.ca/pnb/department/becker [1] Tenure-Track Assistant Professor in Computational Approaches to Psychology, Neuroscience & Behaviour McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations, and within the lands protected by the Dish with One Spoon wampum agreement. _Position Description_ The Department of Psychology, Neuroscience & Behaviour at McMaster University in Hamilton, Ontario, Canada invites applications for a full-time, tenure-track faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at the Assistant Professor level, beginning July 1, 2021. The successful candidate will use computational models to investigate fundamental questions related to psychology, neuroscience, and/or behaviour. Applications from any area that applies computational modelling to understand neural function or behaviour are welcome. Applications from early-career candidates are especially encouraged. Areas of interest include, but are not limited to, big data analytics and machine learning applied to neural or behavioural data, computational models of reward and motivation, computational models of learning and memory, computational models of social interactions, and computational models of spatial navigation. The candidate could apply models to any level of analysis, from neurons to circuits to systems to populations. The Department of Psychology, Neuroscience & Behaviour has long-standing strengths in cognitive and computational neuroscience, sensory systems and behavioural neuroscience, perception, cognition, development, evolutionary psychology, and animal behaviour. We value and encourage collaboration among researchers and educators, and have close ties with the Departments of Biology, Kinesiology, Music, Electrical & Computer Engineering, and Psychiatry & Behavioural Neuroscience. Many of our faculty are affiliated with McMaster's interdisciplinary graduate programs in Neuroscience and Computational Science & Engineering. For more information on the Department, please visit https://www.science.mcmaster.ca/pnb/ McMaster University is a globally renowned institution of higher learning and a research community committed to advancing human and societal health and well-being. Our focus on collaboratively exchanging ideas and approaches makes us uniquely positioned to pioneer ground-breaking solutions to real-world problems leading to a Brighter World. The Faculty of Science works to create global impact by advancing scientific discovery and knowledge, and promoting greater understanding. Our innovative, interdisciplinary approach generates new methods and insights, results, and lasting change. _Commitment to Inclusive Excellence_ The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity. The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from First Nations, Métis and Inuit peoples, members of racialized communities ("visible minorities"), persons with disabilities, women, persons who identify as 2SLGBTQ+. We invite all applicants to complete a brief Diversity Survey, which takes approximately two minutes to complete, through McMaster's application submission portal. All questions are voluntary, with an option to decline to answer. All information collected is confidential and will be used to support efforts to broaden the diversity of the applicant pool and to promote a fair, equitable and inclusive talent acquisition process. Job applicants requiring accommodation to participate in the hiring process should contact the Office of the Dean, Faculty of Science at baileyd(a)mcmaster.ca to communicate accommodation needs. _How to Apply_ Complete applications must be made online at https://hr.mcmaster.ca/careers/current-opportunities/ (Faculty Positions, Job 34946) by the deadline to the attention of Dr. Bruce Milliken, Professor & Chair, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1. A complete application consists of: * a cover letter (including a statement regarding whether the applicant has Canadian citizenship/permanent resident status (see below)) * a current Curriculum Vitae, and three (3) representative publications (reprints or preprints) * a statement of research interests (2-page maximum) * a statement of teaching philosophy and interests (2-page maximum) * a statement of experience and plans for advancing equity, diversity and inclusion in post-secondary education, community-based or other professional settings (2-page maximum) * the names and full contact information of at least three referees. o Letters of reference are not required and will not be reviewed at the application stage; the Department will request letters of recommendation from referees at later stages of the search process. Review of complete applications will begin December 10, 2020 and continue until the position is filled. All applicants will receive an on-line, system-generated confirmation of receipt of their application; however, only short-listed applicants will be contacted for interviews. Please be advised that any full-time, permanent faculty member of the Department can request confidential access to the application materials, including the reference letters. Progressive policies are in place to assist faculty members achieve a work-life balance. Salary will be commensurate with qualifications and experience. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. To comply with the Government of Canada's reporting requirements, the University is obliged to gather information about applicants' status as either Canadian citizens or Permanent Residents of Canada. Applicants need not identify their country of origin or current citizenship; however, all applications, as stated above, MUST include one of the following statements in their application package: "I am/am not a citizen or permanent resident of Canada." Applications that do not include this information will be deemed incomplete. Links: ------ [1] http://www.science.mcmaster.ca/pnb/department/becker

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Fully-funded PhD Positions in Neuroscience in Germany and US | IMPRS for Brain and Behavior
by Ezgi Bulca Nov. 3, 2020

Nov. 3, 2020

Dear all, Our PhD applications are open, please forward it to people who might be interested. 15 fully-funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Topics include but are not limited to circuits and behavior, learning and memory, sensory processing, molecular signaling in neurons, nervous system development, biophysics of neurons and glia, and disorders of the nervous system. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by October 2021). Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: November 15, 2020 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be (virtually) interviewed in January-February. Positions must be started latest in October 2021. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de<http://www.imprs-brain-behavior.mpg.de> research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

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PhD and post-doctoral positions in computational neuroscience and speech production, University of Geneva, Switzerland
by Timothée Proix Nov. 3, 2020

Nov. 3, 2020

One PhD and one postdoctoral positions are available under the supervision of Timothée Proix (https://timothee.proix.ch) in the Auditory Language Group led by Prof. Anne-Lise Giraud (https://neurocenter-unige.ch/research-groups/anne-lise-giraud) at the University of Geneva, Geneva, Switzerland. The project aims at developing a large-scale model of speech production using intracranial EEG data, and lies at the interface between data analysis, dynamical systems modeling, and machine learning. *Postdoctoral position. *The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have solid bases in maths/physics/bioengineering, prior experience in electrophysiological recordings and data analysis, as well as programming and machine learning skills. *P**hD** position. *The candidate will develop theoretical tools using dynamical systems theory to model neural activity during speech production. Applicants should hold a master degree in maths/physics/informatics/engineering. Previous experience in dynamical systems modeling, neuroscience, and programming will be valued. The research will be performed at the campus Biotech in the university of Geneva, a vibrant and stimulating environment for neuroscience research. The positions are funded by the Swiss National Science Foundation, and salaries are in compliance with their guidelines. The ideal start is early 2021, with some flexibility. Applications will be considered until the positions are filled. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to timothee.proix (at) unige.ch. Best regards, Timothée Proix

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Modellers Workshop for the Brain Dynamics Toolbox, Nov 1-21 2020.
by Stewart Heitmann Nov. 1, 2020

Nov. 1, 2020

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-21, 2020 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This is a self-paced course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. 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. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments ($125) close 21st November, 2020. 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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Gatsby Unit PhD Programme
by Maneesh Sahani Oct. 31, 2020

Oct. 31, 2020

We're currently accepting applications for 2021 entry to the 4-year Gatsby Unit PhD programme at University College London. The Unit studies the fundamental principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in both fields, after which thesis research may specialise in one or the other or encompass both. Students are able to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a purpose-designed building), or the cross-faculty Centre for Computational Statistics and Machine Learning (CSML); and we have links to many world-class research groups in related departments at UCL and beyond. Applicants should have a very strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality. For more details and how to apply, see: http://www.gatsby.ucl.ac.uk/teaching/phd Information about the Unit and our research interests can be found at http://www.gatsby.ucl.ac.uk/about.html, http://www.gatsby.ucl.ac.uk/research.html, and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/Members.html. Applications must be received by 15th November 2020. Please direct enquiries to admissions(a)gatsby.ucl.ac.uk. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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postdoc and PhD positions in Budapest
by Balazs Ujfalussy Oct. 31, 2020

Oct. 31, 2020

The newly established Laboratory of Biological Computation (https://biocomplab.wordpress.com/) is looking for highly motivated postdoctoral fellows and PhD students to investigate the role of hippocampus in model based planning and predictions. The focus of our laboratory is to understand how various biological phenomena (e.g., ion channels, dendritic spikes, synaptic clustering or theta sequences) contribute to the behaviorally relevant computations performed by the hippocampus. To achieve this we develop novel theories connecting hippocampal circuit dynamics to network function, combine biophysical modelling with in vivo-like input patterns and develop new tools for statistical analysis of hippocampal single neuron and populations activity patterns. The positions with a competitive salary are available from January 1st, 2021, initially for 1 year with the possibility of extension up to 5 years. We offer a stimulating environment in the Institute of Experimental Medicine, Budapest and active collaboration with experimental groups in the institute with the potential to get involved in the design of novel 2P imaging and virtual reality experiments in mice and/or in analysing the data. The ideal candidate has a strong background in quantitative disciplines (physics, math, computer science) and is competent in programming (e.g. python, matlab, R, C). It is an advantage to have an experience in biophysical modelling or analysis of in vivo population activity data (imaging or electrophysiology). Please send your CV, publication list, letter of motivation and contact information for at least two references to Balazs Ujfalussy (ujfalussy.balazs(a)koki.hu) The first evaluation round will begin on November 18th, 2020. The positions will remain open until filled. With best regards, Balazs Ujfalussy

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Postdoctoral Fellow, Boston University School of Medicine, Luebke & Killiany labs
by Klaus Wimmer Oct. 30, 2020

Oct. 30, 2020

We are seeking a highly motivated and detail-oriented postdoctoral fellow with a track record in research applying magnetic resonance imaging and image processing. The central goal of the binational (Boston and Barcelona) CRCNS project is to advance our understanding of the computational and neural mechanisms underlying working memory as well as age-related changes to executive function. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting-state fMRI, and diffusion spectrum imaging (DSI) brain scans with an overall focus on brain morphometry and connectivity. Data generated from the MRI scans will be correlated with behavioral, physiological, and other anatomical data across the adult life span. This work will be part of a highly interdisciplinary project (psychophysics, imaging, anatomy, electrophysiological experiments, innovative data analysis and computational modeling) and includes the possibility for extended research stays at the Center for Mathematical Research in Barcelona, Spain (Wimmer lab <https://sites.google.com/view/wimmerlab>). The appointment as a Boston University School of Medicine postdoctoral fellow (supervised by Jennifer Luebke <http://www.bumc.bu.edu/anatneuro/our-people/faculty/luebke/> and Ronald J. Killiany <http://www.bumc.bu.edu/anatneuro/our-people/faculty/killiany/>) will be for at least 1 year with the possibility for extension based on performance. REQUIRED SKILLS: *Assist in the acquisition of MR data *Set up a pipeline for the analysis of the MRI scans *Manage image sets/data and perform quality assurance on both *Coordinate data sharing between collaborating laboratories in Boston and Barcelona *Preparation of manuscripts and scientific presentations *For questions or informal inquiries contact: Dr. Jennifer Luebke at * *jluebke(a)bu.edu* <jluebke(a)bu.edu> *Application materials must be submitted through **BU's HR website <https://bu.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jo…>* *.* -- Klaus Wimmer Ramón y Cajal researcher at Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab

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[jobs] Postdoctoral position in “Cognition for safety and ergonomics for human-robot interaction in unstructured workspaces” at Italian Institute of Technology (IIT)
by Francesco Rea Oct. 29, 2020

Oct. 29, 2020

COgNiTive Architecture for Collaborative Technologies Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the assessment of engagement with safety and ergonomic work, the design of proactive measures and counter measures for safety preservation, the optimization of ergonomics, design of software infrastructure for social interaction with the mobile and dexterous co-robot. The first goal of the research is redesigning cognition for safety and ergonomics for human-robot collaboration in manufacturing and construction unstructured workspaces. The second goal is to support the design of new multipurpose robotics for collaboration (co-robots) in manufacturing processes. The selected candidate will work with a multidisciplinary consortium of participants to the recently awarded project VOJEXT, Value Of Joint EXperimentation in digital Technologies for manufacturing and construction (H2020 DT-ICT-03-2020, n. 952197). The candidate will work with different robotic platforms for human-robot interaction in manufacturing and construction sites selected together with the consortium and with different sensorial setups specifically designed to assess ergonomics and safety associated with the workers in unstructured manufacturing and constructions settings. Apply online at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=20000042 The research for this postdoctoral position will involve: * Sensing of human working conditions for social, safe and ergonomic based on human-robot collaboration in unstructured manufacturing and construction settings * Design of control systems for mobile robots for Safety in human-robot collaboration * Development of a system improving human-robot social collaboration in unstructured manufacturing and construction sites * Development of a system improving ergonomics and mitigating health and safety risks in open and unstructured environments

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NEURONUS 2020 IBRO Neuroscience Forum - registration open 3 more days!
by Michał Zaręba Oct. 28, 2020

Oct. 28, 2020

*REGISTRATION for NEURONUS 2020 IBRO Neuroscience Forum (8-11 December 2020, ONLINE) is open only for THREE MORE DAYS! The fee has been reduced to 12€. **More information and registration forms can be found on our website: **http://neuronusforum.pl/* <http://neuronusforum.pl/>*.* The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests. This year’s keynote speakers include: - *Karl Friston *(University College London, the UK) - *Pico Caroni *(University of Basel, Switzerland) - *Karin Roelofs *(Radboud University Nijmegen, the Netherlands) - *Alejandro Schinder *(Leloir Institute, Buenos Aires, Argentina) - *Adam Hampshire *(Imperial College London, the UK) - *Dayu Lin *(New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - *Viktor Jirsa *(Aix-Marseille University, France) - *Panayiota Poirazi* (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - *Dominik Paquet *(Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put *emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you soon! On behalf of the Organising Committee, Michał Zaręba

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Launch of World Wide Theoretical Neuroscience Seminar on November, 4, 2020 at 11am EST
by David Hansel Oct. 28, 2020

Oct. 28, 2020

Dear Colleagues, We are happy to announce the launch of the World Wide Theoretical Neuroscience Seminar (WWTNS). WWTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Its aim is to be a platform of exchange among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars are 45 min long followed by a discussion and are held on Wednesdays at 5 pm in Western Europe, /i.e./, 11 am EST. The talks are recorded with authorization of the speaker and will be available to everybody on our YouTube channel. The first seminar will be on *November, 4, 2020 at 11am EST.* The speaker will be Larry Abbott (Columbia University). The title of his talk is: /Vector Addition in the Navigational Circuits of the Fly/// The abstract of the talk is available on the WWTNS website: http://www.wwtns.online/ *To participate in the seminar you need to fill out a registration form https://www.wwtns.online/register-page after which you will**receive an email telling you how to connect.* We would be grateful if you could forward this email to all those who may be interested. Looking forward to seeing you soon, David Hansel & Carl van Vreeswijk

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PhD position, University of Exeter, UK
by Roman Borisyuk Oct. 28, 2020

Oct. 28, 2020

The University of Exeter is recruiting a PhD student to work on an exciting project to investigate theoretically how neural networks can dynamically transition between multiple behaviours. This BBSRC-funded project is open to students from Mathematics, Physics, Natural Sciences, and Computer Science. The successful candidate will develop new neural network models of rhythmic activity in the tadpole spinal cord. They will use these models to analyse how network behaviour adapts to different sensory inputs. Data for model development will be provided by world-class electrophysiologists, who will also test predictions made by the model. This project will uncover cellular-level and network-level mechanisms that enable dynamic circuit reconfiguration in response to a changing environment. For more information on the project and instructions for applying, please visit http://www.exeter.ac.uk/studying/funding/award/?id=3975. Please contact the project investigators with any question: Joël Tabak j.tabak(a)exeter.ac.uk<mailto:j.tabak@exeter.ac.uk> Roman Borisyuk r.m.borisyuk(a)exeter.ac.uk<mailto:r.m.borisyuk@exeter.ac.uk> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale
by Murray, John Oct. 28, 2020

Oct. 28, 2020

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center for Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2021. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment at Yale. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a CV, selected (p)reprints, contact information for two or three references, and a statement of research interests including which laboratories at Yale are of interest. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu>. Applications will be reviewed as they are received, but priority will be given to those received on or before January 15, 2021. For any questions, please contact John Murray. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. https://neurojobs.sfn.org/job/27534/postdoctoral-swartz-fellowship-position… John D. Murray ----------------------------------------------- Assistant Professor of Psychiatry, Physics, and Neuroscience Yale University murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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SMILES virtual workshop @ICDL 2020
by Xavier Hinaut Oct. 28, 2020

Oct. 28, 2020

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place virtually at the ICDL 2020 (International Conference on Developmental Learning). * Call for abstracts and papers: - Deadline: 25th of September 2020 - papers abstracts: 2 pages - long papers: 4-6 pages - Submissions: smiles.conf(a)gmail.com <mailto:smiles.conf@gmail.com> - Papers format: same as ICDL conference https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd… <https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd…> - Workshop dates (coming soon): the days before or after the ICDL conference (26-30 October 2020) * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through -an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Sensori-motor learning, - Symbol grounding and symbol emergence, - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com <mailto:smiles.conf@gmail.com> - organizers: Xavier Hinaut, Clement Moulin-Frier, Silvia Pagliarini, Joni Zhong, Loo CHU KIONG, Michael Spranger, Tadahiro Taniguchi - invited speakers (coming soon) - workshop website (comming soon): https://sites.google.com/view/smiles-workshop/ <https://sites.google.com/view/smiles-workshop/> - ICDL conference website: https://cdstc.gitlab.io/icdl-2020/ <https://cdstc.gitlab.io/icdl-2020/> * Workshop Long Description Recently Deep Learning networks have broken many benchmarks in Natural Language Processing (NLP), e.g. [1]. Such breakthroughs are realized by a few mechanisms (e.g. continuous representations like word embedding, attention mechanism, ...). However, no equivalent finding happened towards the understanding of which mechanisms enable the brain to perform similar functions. Deep Learning does not reproduce learning mechanisms nor the dynamics of the brain. The brain needs to parse incoming stimuli and learn from them incrementally, it cannot unfold time like deep learning algorithms such as Back-propagation through time (BPTT). Thus, we still lack the key neuronal mechanisms needed to properly model the (hierarchies of) functions in language perception and production. Other models of language processing reproducing the behavior of brain dynamics (Event-Related-Potentials (ERPs) [2] or functional Magnetic Resonance Imaging (fMRI) [3]) have been developed. However, such model softens lack explanatory power demonstrating the causes of such observed dynamics: i.e. what is computed and why is it computed – for which purpose? We need more biologically plausible learning mechanisms while producing causal explanations of the experimental data modelled. There is converging evidence that language production and comprehension are not separated processes in a modular mind, they are rather interwoven, and this interweaving is what enables people to predict themselves and each other [4].Interweaving of action and perception is important because it allows a learning agent (or a baby) to learn from its own actions: for instance, by learning the perceptual consequences(e.g. the heard sounds) of its own actions (e.g. vocal productions) during babbling [5]. Thus, the agent learns in a self-supervised way instead of relying only on supervised learning, which in contrast, imply non-biological teacher signals cleverly designed by the modeler. Explicit neuronal models explaining which are the mechanisms shaping these perceptuo-motor units through development are missing. The existence of sensorimotor (i.e. mirror) neurons at abstract representation levels (often called action-perception circuits [6]), jointly with the perceptuo-motor shaping of sensorimotor gestures [5], suggest the existence of similar action-perception mechanisms implemented at different levels of hierarchy. How could we go towards such hierarchical architectures based on action-perception mechanisms? Importantly, a language processing model needs a way to acquire the semantics of the (symbolic) perceptuo-motor gestures and of the more abstract representations, otherwise it would consider only morphosyntactic and prosodic featuresof language. These symbolic gestures, i.e. signs, need to be grounded to the mental concept, i.e. signified, they are representing. Several theories and robotic experiments give examples of how symbols could be grounded or how symbols could emerge [7]. However, current neurocomputational models aiming to explain brain processes are not grounded. Robotics have an important role here for the grounding of semantics by experiencing the world through interactions with the physical world and with humans. We need mechanisms that start from raw sensory perception and raw motor commands in order to let emerge plausible representations through development, instead of arbitrary representations. Finally, computational models of emergent communication in agent populations are currently gaining interest in the machine learning community [8], [9]. These contributions show how a communication system can emerge to solve cooperative tasks in sequential environments. However, they are still relatively disconnected from the earlier theoretical and computational literature aiming at understanding how language might have emerged from a prelinguistic substance [10], [11]. We need to conceive communication as the emergent result of a collective behavior optimization process and to ground the resulting computational models into the theoretical literature from language evolution research. The SMILES workshop will aim at discussing each of the questions mentioned above, together with original approaches on how to integrate them. [1] J. Devlin et al., 2018. [2] H. Brouwer and J. C. J. Hoeks, 2013. [3] M. Garagnani et al. 2008. [4] M. J. Pickering and S. Garrod, 2013. [5] J.-L. Schwartz et al., 2012. [6] F. Pulvermüller and L. Fadiga, 2010. [7] T. Taniguchi et al., 2016. [8] S. Sukhbaatar et al.,2016. [9] I. Mordatch and P. Abbeel, 2017. [10] M. Tomasello et al., 2005. [11] P.-Y. Oudeyer and L. Smith, 2015. Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com

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Scientist I position at the Allen Institute - Bio-realistic Modeling of Reconstructed Cortical Tissue
by Anton Arkhipov Oct. 27, 2020

Oct. 27, 2020

Scientist I - Bio-realistic Modeling of Reconstructed Cortical Tissue https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1415274 Our mission at the Allen Institute is to advance our understanding of how the brain works in health and disease. Using a team science approach, we strive to discover how the brain implements fundamental computations through the integration of technological innovation, cutting-edge experiments, modeling, and theory. The Allen Institute is seeking exceptional candidates for a BRAIN Initiative-funded position of Scientist in our Seattle-based multidisciplinary organization. The Scientist will join the computational team of Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits. This project will take advantage of unprecedented experimental datasets from the Allen Institute that contain a systematic characterization of synaptic connections between the cell types (https://portal.brain-map.org/explore/connectivity/synaptic-physiology) and a connectome of individual neurons coupled with dense recordings of activity in the mouse visual cortex (https://microns-explorer.org<https://microns-explorer.org/>). The Scientist will work collaboratively with colleagues to integrate these data into new, highly realistic network models of cortical circuits, use the models to explore theoretical predictions, and provide them as a resource to fuel future theoretical, modeling, and experimental work in the community. Our computational team collaborates closely with experimentalists to build systematic classifications of structure and function of the mouse visual cortex based on high-throughput recordings in vitro (e.g., Gouwens et al., Nature Neurosci., 2019; Gouwens et al., Cell, in press, 2020, https://doi.org/10.1101/2020.02.03.932244) and in vivo (e.g., Siegle et al., Nature, in press, 2020, https://doi.org/10.1101/805010) Using systematically constructed models of neurons from diverse types, we are building and simulating data-driven, highly realistic models of the mouse visual cortex (Arkhipov et al., PLOS Comp. Bio., 2018; Billeh et al., Neuron, 2020; https://portal.brain-map.org/explore/models) The team also develops and disseminates modeling software (https://alleninstitute.github.io/bmtk/; https://github.com/AllenInstitute/sonata) Join us to analyze world-class experimental data and build the next generation of brain models! Essential Functions * Collaborate with in-house experimentalists to analyze data from the synaptic physiology and 2-photon calcium imaging/electron microscopy connectomics datasets. * Use these data to build and simulate models of cortical circuits, in order to study mechanisms connecting circuit structure and function. * Publish/present findings in peer-reviewed journals/scientific conferences. Required Education and Experience * PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. * 0-2 years of post-doctoral experience. * Strong publication record. * Track record of scientific excellence and independent thinking. Preferred Education and Experience * Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). * Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. * Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub) is a plus. Physical Demands * Fine motor movements in fingers/hands to operate computers and other office equipment; lab equipment Position Type/Expected Hours of Work * This role is currently able to work remotely due to COVID-19 and our focus on employee safety; this may change, and you may be required to work onsite at our South Lake Union office as safety restrictions are lifted in relation to COVID-19. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1415274

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New release of the Comp-Neuro Fedora Linux operating system for computational neuroscience is now available for download
by Ankur Sinha Oct. 27, 2020

Oct. 27, 2020

Hello everyone, (Apologies for the cross posts) I am happy to announce that the latest release of the Comp-Neuro Fedora Linux based operating system for computational neuroscience research is now available for download from: https://labs.fedoraproject.org/comp-neuro/ For those that prefer torrents to direct server downloads, it can also be downloaded here: https://torrent.fedoraproject.org/ Detailed documentation can be accessed at: https://neuro.fedoraproject.org Based on the Fedora Workstation OS[1], the Comp-Neuro installer image includes a plethora of computational neuroscience software[2]. This includes: - commonly used simulators: NEST, NEURON, Brian2, Arbor, Auryn, CalC, COPASI, GENESIS, MOOSE; - the complete Python 3.9 science stack: Matplotlib, Jupyter notebooks, Numpy, Pandas, Pillow, Scikit-image, Scikit-learn, Scipy, Statsmodels, Sympy, *and* other utilities such as GNU Octave. Comp-Neuro Fedora also uses the popular and modern GNOME desktop environment[3], and so includes all the productivity tools that are part of the latest GNOME 3.38 release. Further, more software that is not included in the installation media can also be installed from the Fedora software repositories[4] and from FlatHub[5]. The ISO installer image is a "live" image, which means one can also run the operating system directly off the image without installing it to disk Fedora, and so Comp-Neuro Fedora is completely Free and Open Source Software, which is free for everyone to use, share, study, and modify. It is developed by the volunteer community driven NeuroFedora Special Interest Group (SIG). Any feedback and comments are most welcome[6]. If you develop software for neuroscience research, please consider getting in touch with the NeuroFedora community to help us include it in NeuroFedora. Everyone is welcome to join the community and work on whatever tasks they find interesting[7]. No prior knowledge or skills are expected. [1] https://getfedora.org/en/workstation/ [2] https://docs.fedoraproject.org/en-US/neurofedora/compneuro-tools/ [3] https://www.gnome.org/ [4] https://docs.fedoraproject.org/en-US/neurofedora/software/ [5] https://flathub.org/home [6] https://docs.fedoraproject.org/en-US/neurofedora/communicating/ [7] https://docs.fedoraproject.org/en-US/neurofedora/contributing/ On behalf of the NeuroFedora community, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Job opportunity - Postdoctoral Sleep Researcher at Bitbrain (Zaragoza, Spain)
by Eduardo López-Larraz Oct. 27, 2020

Oct. 27, 2020

We are looking for a postdoctoral sleep researcher to join Bitbrain <https://www.bitbrain.com/> and work on an EU-funded neurotechnology research project. The main objective will be to exploit some of the most recent advances in sleep research to develop interventions based on cutting-edge wearable neurotechnology for sleep (and sleep-mediated cognitive processes) improvement. The candidate will join Bitbrain <https://www.bitbrain.com/>’s interdisciplinary R&D department of applied neuroscience and neurotechnology and will lead all the R&D activities related to sleep. The candidate will have to: 1) design the R&D strategy of this new area in the company, which will require attending and participating in international events and networks, and 2) design and carry out a feasibility study in sleep improvement using innovative and practical technologies that can be used outside the lab. The position is initially offered for 12 months and includes a relocation and training package. *Requirements*: Sleep expert with a PhD degree in Neuroscience, Psychology, Biomedical Engineering or similar. Strong background in sleep research, understanding of EEG (required) and brain stimulation (desirable). Project management skills. Problem solving and potential of growth. English is required, Spanish is a plus. *We offer*: - Competitive salary. Benefits associated with mobility and family. - Possibility of doing part of the work remotely (to be discussed). - Work-life balance. * Starting date: *01.03.2021 *Application Deadline*: 15.12.2020 More information and application procedure: https://euraxess.ec.europa.eu/jobs/545040

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postdoc position with Christopher Rozell at Georgia Tech
by Christopher Rozell Oct. 27, 2020

Oct. 27, 2020

A postdoctoral position in computational neuroscience is available in the lab of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to advance the field of closed-loop computational neuroscience by pioneering the use of real-time feedback stimulation during experiments to decouple recurrently connected circuit elements and make stronger causal inferences about circuit interactions. This position will have a broad opportunity to develop models and algorithms that are implemented in novel experiments using closed-loop optogenetic stimulation. We aim to provide both new scientific insight about computation in neural circuits (especially sensory coding in the thalamo-cortical circuit) as well as new approaches and algorithmic tools for the community to use in novel electrophysiology experiments. This position will work as part of a team and in close collaboration with the experimental lab of Garrett Stanley (also at Georgia Tech), and it is expected that the computational and algorithmic approaches will be implemented experimentally through close partnership with experimentalists in the Stanley Laboratory. Applicants should hold a PhD in a related discipline with a strong record of research impact, quantitative thinking and collaborative work. Experience in computational neuroscience, machine learning, feedback control, and causal inference is all advantageous. The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. This particular project is part of the Collaborative Research in Computational Neuroscience program (CRCNS), providing access to a community of researchers across the country who are focused on similar types of collaborations between computational and experimental labs. Georgia Tech's campus in the heart of midtown Atlanta, which has a thriving and collaborative neuroscience community that has a particular emphasis on computational and systems neuroscience. Atlanta is also one of the fastest-growing metropolitan areas in the United States, boasting a wide range of opportunities for recreation and culture. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The position would ideally start as soon as possible (spring 2021). The appointment is initially for 12 months with the expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to crozell(a)gatech.edu with the subject line "CRCNS postdoc". Application review will proceed until the position is filled and should be received by December 1 for full consideration.

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[virtual event] - neuromorphic colloquium
by Chiara Bartolozzi Oct. 26, 2020

Oct. 26, 2020

The NEUROTECH Educational Team is organizing a webinar series on neuromorphic computing technologies. The objective is to offer educational material about the field but also hold discussions with the experts about how the field started, how it evolved, where it’s going and how it’s going to shape the future industrial landscape. The first webinar will be on the 3rd of November at 16 CET and the question of the day is: “What is Neuromorphic Engineering?”. The first speakers are: Prof. Giacomo Indiveri, Prof. Steven Furber, Prof. Bernabé Linares-Barranco and Prof. Kwabena Boahen. You can register for free here: https://neurotech.iniforum.ch/educational/ Join us and spread the word! This initiative is supported as part of the NEUROTECH EU-H2020 coordination and support action. ----------------------------------------------------------------------------------------------------------------------------------------- About Neurotech: Our mission is to catalyse research and collaboration in NCT. Today's neuromorphic community in Europe is leading the state of the art in this domain. The community counts an increasing number of labs that work on theory, modelling, and implementation of neuromorphic computing systems. The NEUROTECH Project will create a Cartography of NCT in Europe, explore Roadmaps for its development, collect educational and information resources on NCT, and inform about upcoming and previous events. https://neurotech.iniforum.ch Follow us on LinkedIN: NEUROTECHAI

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Postdoc position in Bologna
by Andrea Santamaria Oct. 26, 2020

Oct. 26, 2020

Dear Sirs, We are the ERC Project INSCRIBE Invention of Scripts and their Beginnings. Sorry for having forget the title, which I've now included in the object as "Postdoc position in Bologna". We would therefore be delighted to share our announcement on your list. You can find the dame text here below in bold. The ERC Project INSCRIBE Invention of Scripts and their Beginnings, based at the University of Bologna, Italy, seeks candidates for a postdoctoral position in interdisciplinary research with expertise in computational neuroscience. The selected candidate will straddle the borders of neuroscience, cognition and the evolution of graphic codes, to apply quantitative methods to large databases with the goal of establishing commonalities worldwide in the evolution of symbols from a broadly cognitive, and more specifically, motor-driven and visual perspective. The ideal candidate will have earned a PhD in either neuroscience or neural computational sciences, with skills in statistical methods. The position is renewable on a yearly basis, up to three consecutive years and can be held remotely. Deadline: 28 October 2020. For more information on how to apply: https://site.unibo.it/inscribe/en/jobs or contact: s.ferrara(a)unibo.it. Thank you in advance and Kind Regards, Andrea Santamaria Get Outlook for Android<https://aka.ms/ghei36>

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Neuromatch conference Oct 26-30
by Goodman, Daniel F M Oct. 25, 2020

Oct. 25, 2020

This is just a reminder that the Neuromatch conference starts tomorrow (at the time of writing) Oct 26-30. We have around 900 talks on all aspects of neuroscience, debates, panels, as well as special series in partnership with the BRAIN initiative, Black in Neuro, and Queer in Neuro. Check our our website here: https://www.neuromatch.io/ Registration is $25, but can be waived with the press of a button, no questions asked, if you're not able to pay. You can see the full agenda with recommendation engine once you've registered, or you can use our old fashioned schedule here before registering (but no automatic recommendations on this one): https://neural-reckoning.github.io/nmc3_provisional_schedule/ Please pass this message on to anyone or any list you think would be interested. Many thanks, The Neuromatch organisers

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Postdoc position on Biological Deep Learning
by Walter Senn Oct. 23, 2020

Oct. 23, 2020

Dear all A second postdoc position devoted to learning in deep cortical networks is available in our Computational Neuroscience labs at the University of Bern, Switzerland. This position is focussed on formulating error-based learning in deep cortical networks in terms of a principle of least action. We will extend this theory to natural gradient learning and to learning with spiking neurons. The research of our labs is more broadly devoted to biologically realistic models of spatio-temporal processing in cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The position is part of the European Human Brain Project and is available by January 1st, 2021, for 2 years (extendable). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx <http://physio.unibe.ch/gruppen.aspx>), as well as close collaborations with other labs in neuroscience, artificial intelligence and neuromorphic engineering. Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (walter.senn(a)unibe.ch <mailto:walter.senn@unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)unibe.ch <mailto:mihai.petrovici@unibe.ch>), with cc to Virginie Sabado (virginie.sabado(a)unibe.ch <mailto:virginie.sabado@unibe.ch>). The first evaluation round will begin on November 8, 2020. The positions will remain open until filled. With best regards, Mihai Petrovici and Walter

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Postdoctoral position on the integration of vision and behaviour (Schröder Lab, University of Sussex, UK)
by Sylvia Schröder Oct. 23, 2020

Oct. 23, 2020

The Schröder Lab <https://www.sussex.ac.uk/research/labs/schroeder-lab/>(Vision and Behaviour) at the University of Sussex, UK, offers a position for a *Postdoctoral researcher*** to study information processing in the early visual system of mice using two-photon imaging, electrophysiology (Neuropixels probes), and opto- and chemogenetic manipulations. The lab’s goal is to determine how behavioural and internal states like arousal are integrated with visual responses in the retina and superior colliculus. We want to discover the underlying mechanisms and the purpose of this integration in terms of visual processing and the animal’s behavioural demands. This paper describes our previous findings. *Your profile* ·Phd degree in neuroscience or in physics, computer science or engineering with a keen interest in neuroscience ·You will take ownership of the project and drive it forward ·Experience in experimental biology and quantitative data analysis including programming in Python, Matlab or a similar language ·Experience with two-photon imaging and/or extracellular electrophysiology desirable *Our offer to you* The Schröder lab opens its doors in January 2021. The candidate will have the opportunity: ·to make use of the lab’s own two-photon microscopy and Neuropixels recording setups ·to benefit from the PI’s active support in research and her mentoring in career development ·to learn essential skills in organising and setting up a lab ·to shape the research culture of the lab based on the values of scientific excellence, team work, and diversity ·to collaborate with other labs within Sussex Neuroscience <https://www.sussex.ac.uk/research/centres/sussex-neuroscience/>with expertise visual and other sensory systems, mouse behaviour, techniques of two-photon imaging and electrophysiology, and computational neuroscience *Start date*: January 2021 or later *Contract*: for 2 years initially, funding available for 5 years (through Sir Henry Dale Fellowship, Wellcome Trust) *Location*: campus is just outside Brighton at the coast of South East England, surrounded by South Downs National Park, 1 h from London See**the ***job advertisement <https://www.sussex.ac.uk/about/jobs/research-fellow-in-neuroscience-4726>* for details on how to apply. Informal enquiries are highly encouraged and should be made to Sylvia Schröder (sylvia.schroeder(a)ucl.ac.uk) **

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Postdoc position in biological intelligence of exploration at CMU & Pitt
by Timothy Verstynen Oct. 23, 2020

Oct. 23, 2020

Carnegie Mellon University and the University of Pittsburgh are seeking applications for a joint, NIH-funded postdoc position on the computational neuroscience of exploration, linking computational models to both human behavioral and rodent optogenetic/electrophysiology data. The successful candidate will work with Professors Jonathan Rubin (Pitt) and Timothy Verstynen (CMU), in collaboration with Professors Eric Yttri (Department of Biological Sciences, CMU) and Cati Vich (Department of Applied Mathematics, Universitat de les Illes Balears, Mallorca, Spain). The project specifically focuses on how dynamics of cortico-basal ganglia-thalamic pathways map to cognitive models of adaptive decision-making. The position is funded for several years, with an initial one-year appointment and an expectation of extension to three years, given that performance is satisfactory. Applicants with a PhD in Mathematics, Applied Mathematics, Computer Science, Computational Neuroscience, Cognitive Neuroscience or a related discipline, and ideally with experience in computing, in dynamical systems, and in computational neuroscience, should apply at: https://cmu.taleo.net/careersection/2/jobdetail.ftl?job=2015566 Carnegie Mellon University and the University of Pittsburgh are both Affirmative Action, Equal Opportunity Employers and value equality of opportunity, human dignity and diversity. Members of all groups under-represented in academia are especially encouraged to apply. Best, Tim Verstynen -- Timothy Verstynen Ph.D. (he/him) Associate Professor Psychology, Carnegie Mellon Neuroscience Institute, & Biomedical Engineering (by courtesy) Co-Director of the CMU-Pitt BRIDGE Center Carnegie Mellon University Pittsburgh, PA 15213 Phone: 412-533-AXN1 (412-533-2961) Lab URL: www.cognitiveaxon.com Center URL: www.bridge-center.org CONFIDENTIALITY NOTICE: This e-mail (including any attachments) contains information that is confidential, proprietary, and/or legally privileged for the sole use of the intended recipient(s). No confidentiality or privilege is waived. Any review or distribution by an unintended recipient is strictly prohibited. If you have received this e-mail in error, please contact the sender immediately and delete all copies, whether electronic or hard copy. Thank you.

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Postdoctoral position in the Pachitariu Lab at Janelia
by Marius Pachitariu Oct. 22, 2020

Oct. 22, 2020

The Pachitariu Lab at HHMI Janelia is looking for postdoctoral researchers to lead projects that investigate the neural basis of cognition in rodents. The lab uses large-scale neural recordings combined with modern computational and theoretical approaches. Learn more about our work here <https://www.janelia.org/lab/pachitariu-lab>. *Essential Duties and Responsibilities* - Design novel behavioral paradigms in mice - Combine behavior and large-scale neural recordings - Explore and analyze large datasets with machine learning and data science - Participate in collaborative projects with computational researchers. *Required qualifications * - PhD in neuroscience / related discipline - or PhD in a computational field, but interested to start experimental work - Proficiency with Python or Matlab for data analysis *Skills and Abilities (optional)* - Experience with rodent training - Experience with neural recordings (ephys or imaging) - Skills to manage and support interdisciplinary collaborations The Janelia campus, including our lab, is committed to building an inclusive environment for under-represented minorities and women. We strongly encourage applications from all under-represented groups. For more information, reach out directly to pachitarium(a)hhmi.org or apply here <https://hhmi.wd1.myworkdayjobs.com/External/job/Janelia-Research-Campus/Pos…> .

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PhD and postdoc position in quadruped robotics and machine learning at EPFL, Lausanne Switzerland
by Auke Ijspeert Oct. 21, 2020

Oct. 21, 2020

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ <https://www.epfl.ch/labs/biorob>) at EPFL (Lausanne, Switzerland) has one open *PhD student* and one *postdoc position* in *quadruped robotics and machine learning*. The project is at the intersection between robotics, machine learning, and computational neuroscience. Its goal is is to develop a computational architecture that (i) merges spinal-cord-like dynamics with higher-level planning and learning, (ii) allows testing hypotheses about animal motor control at a conceptual level, and (iii) can serve as basis for controlling, planning, and learning rich motor skills in robots. The architecture will be evaluated with a scenario that involves control and learning in a quadruped robot crossing a (simple) parkour. The positions are fully funded for 4 years through a grant from the Swiss National Science Foundation. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ *The ideal starting date is early 2021* (with some flexibility). Applications will be considered starting *from November 15 2020*, and then continuously until the positions are filled. Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Post-doc position in EEG Analysis in Scuola Superiore Sant'Anna
by Alberto Mazzoni Oct. 21, 2020

Oct. 21, 2020

A postdoc position is available in the Computational Neuroengineering Laboratory / Translational Neural Engineering Area of The Biorobotics Institute of Scuola Superiore Sant’Anna in Pisa (Italy). The work will focus on the analysis and decoding of neural signals, with particular emphasis on electroencephalographic signals, by means of machine learning algorithms. The aim is to develop prognostic tools to assess the possible evolution of neurodegenerative diseases (as Alzheimer Disease) from early screenings and to identify optimal motor rehabilitation procedures after events such as stroke. The ideal candidate has previous experience in EEG analysis. Previous experience in machine learning is an asset. The ideal candidate has also experience in conducting R&D projects both individually and as a part of a group, excellent communication and interpersonal skills, and most important an imaginative and creative mind. The Computational Neuroengineering Laboratory ( www.santannapisa.it/en/computational-neuroengineering-laboratory ) lead by Dr. Alberto Mazzoni (me) focuses on the modeling and analysis of information processing in neural systems for neural disorders diagnosis and the development of novel neurostimulation therapies (from glioma to movement disorders). The laboratory is part of the Transational Neuroengineering Area lead by Prof. Silvestro Micera ( www.santannapisa.it/en/institute/biorobotics/translational-neural-engineeri… ) which is one of the leading neuroengineering groups in Europe, in particular on the development of neurotechnologies able to restore sensorimotor functions in disabled people. The projects involve a network of clinical and research centers between Pisa and Florence. Both cities are Unesco World Heritage sites and are characterized by a high quality of life, but are also hubs of high level research. In particular, the Scuola Superiore Sant’Anna was ranked 4th best young university in the world in 2020 (TIME rankings). <#_msocom_1> Start date is flexible, but winter 2021 is preferred. Please send - cover letter, - Curriculum Vitae - 1-3 selected publications To a.mazzoni(a)santannapisa.it . Deadline for application is November 27th. Shortlisted candidates will be interviewed December 11th. ------------------------------ -- */////////////////////////////////////////////////////* perché quello del populo è più onesto fine che quello de' grandi, volendo questi opprimere, e quello non essere oppresso N.M.

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INTERNATIONAL NEURAL NETWORK SOCIETY (INNS) - FREE Inaugural Virtual Workshop on Explainable AI on November 6, 2020, Friday, 9 am to 1 pm EST - REGISTRATION IS OPEN NOW
by Asim Roy Oct. 21, 2020

Oct. 21, 2020

Dear Colleagues, We are pleased to announce that INNS (the International Neural Network Society) is launching a Virtual Technical Event series that will feature workshops, seminars, tutorials, discussions and so on. These technical events will occur throughout the year for a worldwide audience. We welcome proposals on challenging and controversial research topics and ones that provide new insights on biological learning. Through this series of virtual technical events, we would like to serve the growing need for advanced education in a variety of fields that are linked together such as AI, machine learning, neural networks, cognitive science, robotics and so on. Further details on proposal submission are available at https://www.inns.org/virtual-technical-events. We also welcome proposals from the industry and industry sponsorship of these events. FREE Inaugural Virtual Workshop on Explainable AI on November 6, 2020, Friday, 9 am to 1 pm EST This inaugural workshop focuses on Explainable AI (XAI), a topic that is highly important for us to widely deploy our AI/ML systems. We invited five prominent scholars to present their thoughts in this virtual workshop. Further details are provided below including where to register for the event. WORKSHOP SPEAKERS 1. Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston University, http://sites.bu.edu/steveg/ 2. Juergen Schmidhuber, Scientific Director of IDSIA<http://www.idsia.ch/>, http://people.idsia.ch/~juergen/ 3. Jeff Krichmar, Professor of Cognitive Sciences, University of California, Irvine, http://www.socsci.uci.edu/~jkrichma 4. Vladimir Cherkassky, Professor of ECE, Univ. of Minnesota, https://ece.umn.edu/directory/cherkassky-vladimir/ 5. Lee Giles, Professor of Information Sciences, Pennsylvania State University, https://clgiles.ist.psu.edu/ MODERATORS: Asim Roy, Professor, Arizona State University (https://lifeboat.com/ex/bios.asim.roy) Daniel Levine, Professor, University of Texas at Arlington (https://www.uta.edu/psychology/people/daniel-levine.php) FORMAT: Each speaker - 35 minute presentation + 10 mins Q&A REGISTRATION - https://www.eventbrite.hk/e/explainable-ai-xai-virtual-workshop-registratio… With regards, Irwin King INNS President, FIEEE, FHKIE, DMACM, BoG APNNS & INNS Chair, Dept. of Computer Science & Engineering o +(852) 3943-8398 The Chinese University of Hong Kong f +(852) 2603-5024 Shatin, N.T., Hong Kong http://www.cse.cuhk.edu.hk/irwin.king<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.cse.cuhk.edu.hk_irw…> Asim Roy VP, Industry Relations, INNS Chair, Committee for Virtual Technical Events, INNS Professor, Arizona State University https://lifeboat.com/ex/bios.asim.roy

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Online workshop series - Neural Control: From data to machines
by DPI, plan4act Oct. 20, 2020

Oct. 20, 2020

We are pleased to announce the online workshop series Neural Control: From data to machines with weekly Zoom-sessions starting on November 5th, 2020. Topic: Movement disorders leave individuals unable to control parts of their bodies, creating a disconnect between their brain and the world around them. This workshop series looks at how neural activity can be mapped to control smart systems, producing desired movements on demand. To discuss the implied problems and solutions, we have brought together experts from the different involved scientific fields. Details and registration at: https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/ Confirmed Speakers: * Dario Farina * Silvestro Micera * Tonio Ball * Nick Ramsay * Juan Álvaro Gallego * Florentin Wörgötter * Alexander Gail * Christian Tetzlaff * Michael Fauth * Tomoki Fukai * Petra Ritter * Valerio Mante * Hans Scherberger * Gordon Cheng * Poramate Manoonpong * Jan-Matthias Braun * Eugenio Gaeta * Daniel Durstewitz * Yukie Nagai Please forward to anyone who may be interested. Best, Florentin Wörgötter and Christian Tetzlaff

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Call for papers : Special Issue on Deep Learning Approaches for Brain-Computer Interfaces (Signals - MDPI)
by Panagiotis Petrantonakis Oct. 20, 2020

Oct. 20, 2020

Call For Papers for a Special issue on: *Deep Learning Approaches for Brain-Computer Interfaces* https://www.mdpi.com/journal/signals/special_issues/Brain_Computer_Interfac… *Special Issue Information* Brain–computer interfaces (BCIs) decipher and translate brain signals into commands for the surrounding environment. Different types of brain signals, e.g., EEG and fMRI, have been used as a means to decode intended user commands, and various machine learning approaches have been tested in such a task. With the advent of the deep learning (DL) era, new studies have emerged that exploit the advantages of the deep network architectures for BCI systems and depict more efficient and reliable brain signal decoding systems. The aim of this Special Issue is to provide a collection of forefront works investigating the deployment of various deep network types in different BCI applications using a variety of brain signals either of unimodal or multimodal signal processing framework. Topics of interest include but are not limited to the following: - Deep network architectures for BCIs; - Transfer learning in BCIs; - Big data for DL-based BCIs; - Fusion of multiple brain signals for BCIs using DL methods. *Guest Editor* Panagiotis Petrantonakis (ppetrant(a)iti.gr) Please do not hesitate to contact me for additional questions. Kind regards, Panagiotis

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PhD position in Insect-Inspired AI at Edinburgh
by Barbara Webb Oct. 19, 2020

Oct. 19, 2020

The Insect Robotics lab at the University of Edinburgh, led by Professor Barbara Webb, has a fully-funded PhD studentship (3 years fees and stipend) available to study 'Insect-Inspired AI'. The position could commence any time from now. The project will develop an alternative architecture for intelligent autonomous systems based on the insect brain. Insects are hugely successful at a number of tasks that are still major challenges for artificial intelligence, including rapid learning from minimal data and sophisticated navigation and robust coordination of behaviour in dynamic environments. The focus of the work will be to obtain a functional understanding of the computations occurring in the insect ‘mushroom body’ (MB) neuropil. Specifically, the PhD topic is to understand how the input and output organisation of the MB support adaptive and context dependent associative learning of complex sensory patterns for the control of behaviour. This will be applied to robot navigation tasks. A suitable candidate would have a strong first degree in computing, maths or engineering; ideally with some background in computational neuroscience, neuromorphic computing, robotics or similar topics; and a strong interest in obtaining biological understanding of brain mechanisms for control of behaviour. Interested candidates should in the first instance contact Professor Barbara Webb <B.Webb(a)ed.ac.uk>. More details about graduate study at the School of Informatics and the formal application process can be found here: https://www.ed.ac.uk/informatics/postgraduate/research-degrees -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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NEURONUS 2020 IBRO Neuroscience Forum (8-11 December 2020, ONLINE)
by Michał Zaręba Oct. 19, 2020

Oct. 19, 2020

*REGISTRATION for NEURONUS 2020 IBRO Neuroscience Forum is open only UNTIL OCTOBER 31! The fee has been lowered to 12€. The number of the participants is limited only to 1000 – hurry up! More information and registration forms can be found on our website: **http://neuronusforum.pl/* <http://neuronusforum.pl/>*.* With prominent speakers and an unique atmosphere of Krakow, one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. Unfortunately, the ongoing COVID-19 pandemic has forced us to move our event to the virtual plane. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year’s keynote speakers include: - *Karl Friston *(University College London, the UK) - *Pico Caroni *(University of Basel, Switzerland) - *Karin Roelofs *(Radboud University Nijmegen, the Netherlands) - *Alejandro Schinder *(Leloir Institute, Buenos Aires, Argentina) - *Adam Hampshire *(Imperial College London, the UK) - *Dayu Lin *(New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - *Viktor Jirsa *(Aix-Marseille University, France) - *Panayiota Poirazi* (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - *Dominik Paquet *(Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put *emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you soon! On behalf of the Organising Committee, Michał Zaręba

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PhD-positions in computational neuroscience at the University of Oslo as part of CompSci grant in EU Horizon 2020
by Gaute Einevoll Oct. 18, 2020

Oct. 18, 2020

CompSci is a Doctoral Programme launched and managed by the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). It is partly funded by the EU Horizon 2020 under the Marie Skłodowska-Curie Action (MSCA) - Co-funding of Regional, National and International Programmes (COFUND). The CompSci Doctoral Program will recruit 32 PhDs in two calls. In this Call, we open for applications to the 1st cohort of 16 PhD fellowship positions, that will join our PhD programme starting autumn 2021 at UiO. The possible PhD-projects span over a wide range of topics where methods from computational science are applied to different fields in the natural sciences: https://www.mn.uio.no/compsci/english/projects/ Four of the possible projects in Call 1 are within computational neuroscience: * Bio-inspired neural networks for navigation<https://www.mn.uio.no/compsci/english/projects/bioscience/bio-inspired-neur…> Supervisors: Anders Malthe-Sørenssen<https://www.mn.uio.no/compsci/english/projects/supervisors/malthe-sorenssen…>, Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html> * Large-scale recordings of neurons to reveal mechanisms of learning and memory<https://www.mn.uio.no/compsci/english/projects/bioscience/learning-and-memo…> Supervisors: Marianne Fyhn<https://www.mn.uio.no/compsci/english/projects/supervisors/fyhn.html>, Anders Malthe-Sørenssen<https://www.mn.uio.no/compsci/english/projects/supervisors/malthe-sorenssen…> * Large-scale network simulations of mouse visual cortex<https://www.mn.uio.no/compsci/english/projects/bioscience/neural-networks.h…> Supervisors: Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html>, Marianne Fyhn<https://www.mn.uio.no/compsci/english/projects/supervisors/fyhn.html> * Modelling systems levels changes in brain aging induced by genome instability<https://www.mn.uio.no/compsci/english/projects/bioscience/brain-aging.html> Supervisors: Hilde Nilsen<https://www.mn.uio.no/compsci/english/projects/supervisors/nilsen.html>, Gaute T. Einevoll<https://www.mn.uio.no/compsci/english/projects/supervisors/einevoll.html> For information about how to apply, see https://www.jobbnorge.no/en/available-jobs/job/193610/compsci-call-1-marie-… . The application deadline for Call 1 is: January 3rd 2021 Questions about the individual projects should be sent to the supervisors listed above.

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Lecture video about brain mechanisms that cause mental disorders
by Grossberg, Stephen Oct. 17, 2020

Oct. 17, 2020

Dear Colleagues, I gave a pre-recorded keynote lecture on Zoom to the World Congress on Computational Intelligence on July 22 about how particular brain dysfunctions can cause symptoms of mental disorders like Alzheimer's disease, autism, amnesia, and neglect: http://sites.bu.edu/steveg/files/2020/07/Grossberg-WCCI-keynote-Glasgow-vid… The lecture can also be found on my web page sites.bu.edu/steveg along with a pdf of its powerpoint slides. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu

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How to find your scientific neighbours, future colleagues
by Tim Vogels Oct. 17, 2020

Oct. 17, 2020

Dear Colleagues, For those of you who are looking for a position as a postdoc (or faculty), consider posting your info to world-wide.org/neighbors <http://world-wide.org/neighbors>. It's a place to find your closest scientific neighbours, and maybe your next position. Fill in & submit your info, and a few minutes later we will post it, if you want to with the best matching labs. /neighbors <http://world-wide.org/neighbors> is an extension of the popular worldwideneuro.com <http://worldwideneuro.com/>, and currently works best for neuroscience matches. For those of you who are looking for postdocs and advertising positions for postdocs to HIRE, it may be interesting to also post your ads on world-wide.org/neighbors <http://world-wide.org/neighbors>. Posting your ad to the website will make it visible for a much longer time than a single fleeting email. And while you are here, come brows through the info on people looking for jobs. Finally, you can also just browse if you're just “curious”, and check out who your closest neighbours are. Or find some amazing talks on worldwideneuro.com <http://worldwideneuro.com/> or https://www.world-wide.org/Physics-of-Life/ <https://www.world-wide.org/Physics-of-Life/> If you want to, let us know if you like it, and what improvements you’d like to see. All the best, (Panos Bozelos and ) Tim Vogels ------------- Vogelslab.org <http://vogelslab.org/> IST, Austria

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Call for papers : Special Issue on Brain Simulation and Spiking Neural Networks ( Cognitive Computation - Springer)
by Vassilis Cutsuridis Oct. 16, 2020

Oct. 16, 2020

*Call For Papers:Journal : Cognitive ComputationSpecial Issue : Brain Simulation and Spiking Neural Networks* https://www.springer.com/journal/12559/updates/18336610 *Scope and Motivation* During the past 10 years, many experiments have been implemented with the aim of improving our understanding on the brain’s structure and function. Alongside, simulation neuroscience has become an important strategy to investigate how the brain works. The Human Connectome Project in the US started in 2009 and aimed to provide a big human brain mapping dataset on which many brain models have already been tested. In the Human Brain Project in the EU, a large-scale virtual rodent brain simulation is being built with the purpose of revealing various brain activities. In Japan, whole human-scale brain simulations on the Fugaku supercomputer are being established to investigate how neural networks develop their learning process. On the other hand, the foundation of cognitive computing and control mechanism can be revealed from the simulations of brain circuits and the neural dynamics. Moreover, these are also critical to improve current artificial intelligent systems and for building brain intelligence level algorithms. In this special issue, we invite researchers to present their state-of-the-art approaches, introduce recent advances and therefore show the potential of brain-simulation-related technologies. *Guest Editors* Jordi Solé-Casals (jordi.sole(a)uvic.cat) Cesar F. Caiafa (ccaiafa(a)fi.uba.ar) Zhe Sun (zhe.sun.vk(a)riken.jp) Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) *Topics* Topics include but are not limited to: • Brain Connectivity mapping and functional mapping • Data analysis methods for connectome data • Multi-scale neural system simulation • Neuromorphic hardware • High-performance computing system for large scale simulations • Neural system inspired spiking neural network • Neuro-robotics systems • Sensorimotor learning model *Deadlines* *Submissions Deadline*: *April 1, 2021* First notification of acceptance: June 1, 2021 Submission of revised papers: August 1, 2021 Final notification to the authors: Oct 1, 2021 Submission of final/camera-ready papers: Nov 1, 2021 Publication of special issue: Nov 22, 2021 *Submission Instruction:* Prepare your paper in accordance with the Journal guidelines: www.springer.com/12559. Submit manuscripts at: http://www.editorialmanager.com/cogn/. Select “SI: Brain Simulation and Spiking Neural Networks” for the special issue under “Additional Information.” Your paper must contain significant and original work that has not been published nor submitted to any journals. All papers will be reviewed following standard reviewing procedures of the Journal. *Author Resources* Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. All papers will be reviewed following standard reviewing procedures for the Journal. Papers must be prepared in accordance with the Journal guidelines: www.springer.com/12559 Springer provides a host of information about publishing in a Springer Journal on our Journal Author Resources <https://www.springer.com/gp/authors-editors/journal-author> page, including FAQs <http://www.springer.com/gp/authors-editors/journal-author/frequently-asked-…> , Tutorials <https://www.springer.com/gp/authors-editors/journal-author/journal-author-a…>along with Help and Support. <https://support.springer.com/en/support/home> Other links include: - editorial policies <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> - publication policies <https://www.springer.com/gp/open-access/publication-policies> - copyright transfer <https://www.springer.com/gp/open-access/publication-policies/copyright-tran…> - self-archiving <https://www.springer.com/gp/open-access/publication-policies/self-archiving…> - OA funding <https://www.springernature.com/gp/open-research/funding> - open choice <https://www.springer.com/gp/open-access/springer-open-choice> - funder compliance <https://www.springer.com/gp/open-access/publication-policies/funder-complia…> - read and publish agreements <https://www.springer.com/gp/open-access/springer-open-choice/springer-compa…> - preprint sharing <https://www.springer.com/gp/open-access/preprint-sharing/16718886> - my publication process <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> - production <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> - publication <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> - post-publication <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> - ORCID <https://www.springernature.com/de/researchers/orcid?utm_source=springer&utm…> - Publons <https://www.springernature.com/gp/reviewers/publons> - article sharing <https://www.springernature.com/gp/researchers/sharedit> - citation alerts <https://www.springer.com/gp/authors-editors/journal-author/journal-author-h…> If you have additional questions, please do not hesitate to contact us. Best regards, Vassilis --- Dr Vassilis Cutsuridis Senior Lecturer School of Computer Science & Lincoln Sleep Research Center University of Lincoln Lincoln UK Tel: +44 (0) 1522 83 5701 Email: vcutsuridis(a)lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal website: http://www.vassiliscutsuridis.org/

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Free Online Seminar: How to build your own Connectome?
by Markus Butz-Ostendorf Oct. 16, 2020

Oct. 16, 2020

Dear List, My apologies for cross-postings first of all! I would like to draw your attention to the first free online webinar on connectomics in clinical application with our novel neuroimaging software NICARA, particularly dedicated to human connectomics. Abstract at the end of this message. The seminar takes place online on Tue, 20 Oct 2020 at 3pm (CET). Participation is free of charge but registration is kindly requested via this link https://www.biomax.com/webinar With NICARA every neuroscientists can explore the beauty of connectomes and focus on connectome-related research questions without being a neuroimaging or neuroinformatics expert him- or herself. Register one of the limited NICARA demo accounts today via https://ssl.biomax.de/nicara/ Looking forward to meeting you online at the seminar! kind regards, Markus == Free Online Seminar Series: How to build your own Connectome? With our neuroimaging solution NICARA we help clinicians working in the field of mental disorders to classify their patients faster and even better than ever before. Pharmacologists can significantly speed up the evaluation of the clinical efficacy of new drugs and scientists can access data and publications quickly and easily, thus greatly accelerating the success of research, while saving costs. All of these experts face more or less the same problem: Extracting structural and functional brain connectivity form raw images is time consuming and requires extensive expert knowledge. With NICARA you have thousands of publicly available connectomes at your fingertips and the possibility to analyze your own data by creating individual connectomes on the fly. Explore the world of connectomics with NICARA and learn how you can easily build your own Connectome. Register today for free for one of our upcoming Online Seminars and Live Demos. for Clinicians: 20/10/2020, 3:00 pm for Scientists 10/11/2020, 3:00 pm for Pharmacologists 1/12/2020, 3:00 pm To register, please go to https://www.biomax.com/webinar and request your access data via the webinar page. We are looking forward to meeting you. -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf@biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/

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PhD and PostDoc positions on physical models of biological computation
by elisabetta chicca Oct. 16, 2020

Oct. 16, 2020

The Bio-Inspired Circuits and Systems (BICS) group at the University of Groningen, Netherlands headed by Prof. Elisabetta Chicca is inviting applications for PhD and PostDoc positions on physical models of biological computation. The positions will be embedded in a highly interdisciplinary, international research group lead by Prof. Elisabetta Chicca, who recently started a new group in the Faculty of Science and Engineering (FSE) at the University of Groningen. The BICS group aims to identify the principles of neural computation and implement them in fully parallel and low-power neuromorphic systems that offer the opportunity to overcome the limitations of traditional digital architectures. The successful candidate should have a background in physics, computer sciences, electrical engineering, neurosciences or some related field. Some modelling, programming or analog CMOS design experience is advantageous. Applications will be considered until the positions are filled. The application should include a cover letter stating the candidate’s research interests and how these fit to the research conducted in the BICS group; a CV outlining prior education, research experience, skills and publications; reprints (if available); academic transcripts; and names of two referees. Electronic submission is preferred (to be addressed to Prof. Elisabetta Chicca, e.chicca <e.chicca(a)rug.nl>ATrug.nl <e.chicca(a)rug.nl>). ------------------------------------------------------------ Prof. Dr. Elisabetta Chicca Full Professor Chair of Bio-Inspired Circuits and Systems (BICS) Zernike Institute for Advanced Materials CogniGron - Groningen Cognitive Systems and Materials Center University of Groningen Nijenborgh 4, 9747 AG Groningen The Netherlands Phone: +31 50 363 8731 Office: 5113.0039 Secretary: Jeannette de Boer Phone: +31 50 363 4843

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Postdoctoral position in computational and statistical neuroscience
by John Pearson Oct. 16, 2020

Oct. 16, 2020

Posting below. Interested candidates are also encouraged to reach out directly. The laboratories of Dr. Richard Mooney (https://www.neuro.duke.edu/mooney-lab) and Dr. John Pearson (http://pearsonlab.github.io<https://urldefense.com/v3/__http://pearsonlab.github.io/__;!!OToaGQ!5lp4UHC…>) at Duke University are seeking two (2) postdoctoral scholars in conjunction with an NIH BRAIN Initiative-funded project investigating the contributions of basal ganglia to vocal motor exploration and reinforcement learning. Candidates will combine state of the art viral, electrophysiological, imaging, and computational methods and work as part of a multi-institution team that also includes Dr. Carlos Lois, in the Division of Biology and Biological Engineering at CalTech, and Dr. Tim Gardner, in the Phil and Penny Knight Campus for Accelerating Scientific Impact at the University of Oregon. The first postdoc, appointed in the Department of Neurobiology, will use behavioral, optogenetic, electrophysiological and optical imaging methods to explore how cortico-basal ganglia circuits contribute to vocal exploration and learning. Previous experience with imaging and electrophysiological methods is desirable, and experience using viral gene transfer methods to monitor and manipulate neural activity will be especially helpful. Candidates with strong quantitative skills and an interest in developing or improving computational skills are especially desired. This postdoc will work closely with a related postdoc hire in the Department of Biostatistics & Bioinformatics, as well as team members across all institutions. The second postdoc, appointed in the Department of Biostatistics & Bioinformatics, will perform computational modeling of reinforcement learning in the birdsong system, including development of new statistical machine learning methods for the analysis of song, electrophysiology, and calcium imaging data. The postdoc will work closely with experimentalists to design studies, analyze data, and refine hypotheses. Candidates should hold a PhD in a quantitative discipline such as computational neuroscience, physics, statistics, or computer science. Previous experience in neurobiology is a plus but not required. This postdoc will work closely with a related postdoc hire in the Department of Neurobiology, as well as team members across the other institutions. John ------------------------------- John Pearson, Ph.D. Assistant Professor Biostatistics and Bioinformatics Center for Cognitive Neuroscience Electrical and Computer Engineering Neurobiology; Psychology and Neuroscience Duke University B255 LSRC Box 91003 Durham, NC 27708 919.613.8338 http://pearsonlab.github.io/

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Postdoc position on Biological Deep Learning
by Walter Senn Oct. 15, 2020

Oct. 15, 2020

Dear all One postdoc position devoted to learning in deep cortical networks is available in the Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focussed on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The position is focussed on formalizing the dendritic processing of cortical pyramidal neurons, in particular on combining top-down and bottom-up information streams within pyramidal neurons, and in integrating these neurons in deep networks. The position is part of a collaboration with Profs Fritjof Helmchen and Giacomo Indiveri (UniZH / ETHZ) supported by the Swiss National Science Foundation and is available from January 1st, 2021, for 2 years (extendable). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx <file:///Users/walter/Documents/Walter_Physio/admin/ownPositionAnnouncments/HBP_PosAnnouncments2020/physio.unibe.ch/gruppen.aspx>), as well as close collaborations with other labs in neuroscience, artificial intelligence and neuromorphic engineering. Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (walter.senn(a)unibe.ch <mailto:walter.senn@unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)unibe.ch <mailto:mihai.petrovici@unibe.ch>), with cc to Virginie Sabado (virginie.sabado(a)unibe.ch <mailto:virginie.sabado@unibe.ch>). The first evaluation round will begin on November 8, 2020. The positions will remain open until filled. With best regards, Mihai Petrovici and Walter Senn

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postdoc on computational modelling of perceptual inference and psychophysics (Hyafil lab, CRM, Barcelona)
by Alexandre Hyafil Oct. 15, 2020

Oct. 15, 2020

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the *Center for Research in Mathematics (CRM),* Barcelona, Spain ( http://www.crm.cat/en/Research/ResearchGroups/Neuroscience/Pages/default.as…) The project will combine modelling and psychophysics (possibly neuroimaging) to study the mechanisms of propagation of belief in human perception. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city (should the pandemics permit). Our lab forms part of a larger interacting network of neuroscience labs in Barcelona ( http://www.barccsyn.org) Candidates should have a PhD in computational cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued. Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years. *APPLICATION:* Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil(a)gmail.com. Informal enquiries are welcome. *DEADLINE:* until the position is filled *STARTING DATE:* anytime before summer 2021

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PhD/Postdoc position in Tübingen, Deep nets + human neurophysiology data
by Jakob Macke Oct. 15, 2020

Oct. 15, 2020

Dear colleagues, We have a position for a Ph.D. Student or Postdoctoral Researcher (m/f/d, E13 TV-L) in `Deep learning for studying population codes in the human brain’, starting as soon as possible. The initial fixed-term contract will be for 3 years with possible extension. Details at https://uni-tuebingen.de/en/196976. How do neural circuits in the human brain recognize objects, persons and actions from complex visual stimuli? To address these questions, we will develop deep convolutional neural networks for modelling how neurons in high-level human brain areas respond to complex visual information. We will make use of a unique dataset of neurophysiological recordings of single-unit activity and field potentials recorded from the medial temporal lobe of epilepsy patients. Our tools will open up avenues for a range of new investigations in cognitive and clinical neuroscience, and may inspire new artificial vision systems. The position is part of the BMBF-funded project DeepHumanVision in collaboration with the `Dynamic Vision and Learning’ Group at TU Munich (Prof. Dr. Laura Leal-Taixé) and the Cognitive and Clinical Neurophysiology Group at University Hospital Bonn (Prof. Dr. Dr. Mormann). Our group develop computational methods that help scientists interpret empirical data, with a focus on basic and clinical neuroscience research. We want to understand how neuronal networks in the brain process sensory information and control intelligent behaviour, and use this knowledge to develop methods for the diagnosis and therapy of neuronal dysfunction. We aim to work in an interdisciplinary, collaborative and supportive work environment which emphasizes diversity and inclusion. Tübingen has an internationally renowned research community in artificial intelligence, machine learning and computational neuroscience, including the Cyber Valley Initiative, the Tübingen AI Center, the Excellence Cluster Machine Learning, and the new MSc Program Machine Learning. We are situated in the AI Research Building, in close proximity to the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, and participate in the two International Max Planck Research Schools (IMPRS) `Intelligent Systems’ and `Mechanisms of Mental Function and Dysfunction’. The position is open to candidates who have a PhD or Master’s in in a quantitative discipline (e.g. computer science, maths, statistics, physics, electrical engineering, computational neuroscience), a genuine interest in interdisciplinary work at the interface of machine learning and neuroscience, and strong programming skills (ideally Python/PyTorch). Prior experience in deep learning, and/or in analysing neurophysiological data with statistical methods is advantageous. The University seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of Tübingen. PhD applicants are also expected to apply to the IMPRS `Intelligent Systems’ https://imprs.is.mpg.de, Deadline also November 2. Please submit your application materials to mls-sekretariat(a)inf.uni-tuebingen.de, with subject `Application: Postdoc/PhD DeepHumanVision‘. Please include a CV, a brief statement of research interests, contact details of two referees and a work sample - anything that is genuinely your own work, e.g. a thesis, computer code, a research manuscript, an essay, or a publication. For postdoc applicants, we expect relevant prior publications. Application deadline: November 02, 2020. Best, Jakob Macke Prof. Dr. Jakob Macke Chair of Machine Learning in Science Excellence Cluster `Machine Learning: New Perspectives for Science’ Department of Computer Science University of Tübingen Adjunct Senior Research Scientist, Department of Empirical Inference Max Planck Institute for Intelligent Systems Tübingen Jakob.Macke(a)uni-tuebingen.de Office: Franziska Weiler, mls-sekretariat(a)inf.uni-tuebingen.de www.mackelab.org/tuebingen

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Positions in Probabilistic Data Science / Machine Learning Lab, Oldenburg University, Germany
by Jörg Lücke Oct. 14, 2020

Oct. 14, 2020

Dear list, The Machine Learning Lab at the University of Oldenburg, Germany, is seeking to fill the position of a Researcher in Probabilistic Data Science. We look for somebody who has already obtained a PhD degree or is close to obtaining one. The only definitive source of information is here: https://uol.de/stellen/?stelle=67593 The application deadline is Oct 20 but we very likely also accept applications until the end of next week. We are seeking somebody with knowledge on probabilistic generative modeling. Best wishes, Jörg Lücke -- Jörg Lücke (PhD) Professor and Head of the Machine Learning Lab Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uol.de/ml

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COSYNE 2021: Abstract submission is now open
by Tomas Hromadka Oct. 14, 2020

Oct. 14, 2020

==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 24 - 26 February 2021 www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open Abstract submission deadline: 12 November 2020 ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne 2021 will take place online, February 24 - 26, 2021. Please note that the dates have changed slightly from the initial announcement. The goal of this year’s meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks chosen from submitted abstracts, and interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. The deadline for Abstract submission will be November 12, 2020. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- COSYNE 2021 TUTORIAL ---------------------------------------------------- Cosyne 2021 main meeting will be preceded by an online Cosyne Tutorial Session led by Kanaka Rajan (Icahn School of Medicine at Mount Sinai) on 23 February 2021. More details will be posted on www.cosyne.org. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Tutorial Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) PROGRAM COMMITTEE Athena Akrami (UCL) Demba Ba (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Christine Constantinople (NYU) Saskia De Vries (Allen Institute) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Annegret Falkner (Princeton) Kevin Franks (Duke) Tim Hanks (UC Davis) Ann Hermundstad (Janelia) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Cris Niell (U Oregon) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montreal) Kanaka Rajan (Icahn School of Medicine at Mount Sinai) Robert Rosenbaum (Notre Dame) Christina Savin (NYU) Marshal Shuler (Johns Hopkins) Daniela Vallentin (Max Planck Munich) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Online Mentoring Job Offer
by Maryam Oct. 13, 2020

Oct. 13, 2020

WE WANT YOU ! ScienceBeam, which is a designer and manufacturer of neuroscience applications and organizer of neuroscience educational courses, is looking for professional, experienced and authentic mentors from all around the world for online courses. Required fields: ➢ Neuroscience ➢ Neuro-Biofeedback ➢ EEG/ERP/QEEG ➢ Cognitive Science ➢ Programming (MATLAB, Bio-Signal processing, etc.) If you are as passionate about mentoring as you are about the above-mentioned fields, and can give a few hours per week in return for an honorarium, we would love to hear from you. Apply now and send your resumes to: workshop(a)sciencebeam.com WhatsApp No: +8613380781282

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Ph.D. program (with details) in Computational/Experimental Neuroscience in Tuebingen, Germany
by Zhaoping Li Oct. 9, 2020

Oct. 9, 2020

(I apologize for a previous message sent without details): Join our interdisciplinary PhD program and experience a vibrant and international training environment in Neuroscience! see https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details. Application deadline 30th Nov. 2020 More details International Max Planck Research School The Mechanisms of Mental Function and Dysfunction The ‘International Max Planck Research School (IMPRS) for The Mechanisms of Mental Function and Dysfunction’ (MMFD) provides state-of-the-art training and research under the guidance of leading neuroscientists, psychologists, psychiatrists and computational scientists in Tübingen. Excellent graduates with a Bachelor´s degree will enjoy an unparalleled opportunity to start their research career in neuroscience. What´s it all about? The IMPRS is a joint project of the Max Planck Institute for Biological Cybernetics <https://www.kyb.tuebingen.mpg.de/2549/en> and the University of Tübingen <https://uni-tuebingen.de/en/>. It is embedded in the Graduate Training Centre of Neuroscience (GTC) <https://www.neuroschool-tuebingen.de> and thus benefits from more than 20 years of successful cooperation in the training of young neuroscientists. The IMPRS-MMFD offers a combined MSc/PhD program to outstanding BSc graduates. IMPRS students will not only receive an admission to one of the GTC´s regular MSc programs, but additionally a commitment of the IMPRS faculty to offer them a PhD position after their successful MSc graduation. The direct access to the IMPRS doctoral program for those students who are already holding a MSc degree and have already been admitted by the Graduate Training Centre is also possible. Prerequisite is the primarily supervision by one of the IMPRS faculty members (see: Application). Teaching and research in the IMPRS and at the GTC of Neuroscience are conducted entirely in English. The IMPRS MMFD was launched in January 2020 and is one of about sixty International Max Planck Research Schools <https://www.mpg.de/en/imprs> run by the Max Planck Society <https://www.mpg.de/en> in partnership with various universities and research institutions. IMPRS programs provide an extraordinary framework and working environment for graduate students, and they provide unique opportunities for interdisciplinary research projects.

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postdoc position in dynamical models of learning in working memory (Kilpatrick, CU Boulder)
by Zachary Kilpatrick Oct. 8, 2020

Oct. 8, 2020

We are seeking a postdoctoral fellow to work on a BRAIN/NIMH/NIBIB funded project developing and validating neural circuit models of experience-driven computations in working memory. Our group is in the Department of Applied Mathematics at the University of Colorado Boulder, and we have affiliations with the Institute of Cognitive Science and School of Medicine. The start date would likely be in Spring or Summer 2021. The position is fully funded till September 2023, with a possible extension contingent on funding. Interested applicants should contact Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>), along with a CV and list of 3 or more references. The aim of this project is to understand how task-relevant experience is encoded in neuronal circuits through plasticity-driven changes to network architecture (building off ideas in Kilpatrick (2018) Sci Rep <https://www.nature.com/articles/s41598-018-25958-9>). Our mechanistic neural circuit models will be validated using data from humans (psychophysical response) and non-human primates (response + large-scale neural recordings) from the Gold (Penn), Buschman (Princeton), and Bays (Cambridge) labs. Candidates must have a strong background developing, simulating, and mathematically analyzing dynamical/mechanistic neural network models. We will build and analyze neural field models of large-scale activity using a combination of methods from stochastic processes, asymptotics, Bayesian inference, and numerical PDEs. Experience working with psychophysics and/or neural recording data is a plus but not required. Models will be fit using Bayesian parameter estimation and model comparison. Within our group, you could also work on a side project or two in decision-making, stochastic dynamics, social networks, and/or social foraging. Outside of work, the great outdoors in and around Boulder can’t be beat with over 40,000 acres of public open space, 1hr to skiing at Eldora Mtn Resort, 1hr to Rocky Mtn Natl Park, and tons of hiking and climbing. Boulder is consistently rated one of the most bike-able cities in the nation. We also have a very active local food scene with multiple restaurants receiving James Beard nominations this year. Non-stop international flights to Germany, Italy, France, Switzerland, the UK, Japan, Mexico, and Canada are a 45 minute bus ride away at Denver Airport. ---------- Zachary P Kilpatrick, PhD (he/him/his) Associate Professor University of Colorado Boulder Department of Applied Mathematics http://www.colorado.edu/amath/zpkilpat <http://www.colorado.edu/amath/zpkilpat>

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Postdoctoral position in Computational Neuroscience, Italian Institute of Technology
by Stefano Panzeri Oct. 8, 2020

Oct. 8, 2020

A postdoctoral position in computational neuroscience is available at Istituto Italiano di Tecnologia in Italy to work with Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) The successful candidate will conduct research in the laboratory of Neural Computation of Prof. Panzeri and in collaboration with Prof. Christopher Harvey at Harvard Medical School. We investigate, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The Neural Computation laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious research environment which is well funded (including several grants from the NIH Brain Initiative). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For recent publications relevant to this project, see: Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. G. Pica, et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NIPS 2017)* Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Chettih and Harvey (2019) Single-neuron perturbations reveal feature-specific competition in V1. *Nature* 567, 334 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. The deadline for applications is *Oct. 27th, 2020*. Applications will be examined as soon as they are received and until the position is filled. Interested applicants are strongly encouraged to email Stefano Panzeri ( stefano.panzeri(a)iit.it) as soon as possible, to informally inform him of their interest for the position and initiate a discussion about research projects. Formal applications should be submitted, before the deadline, through the following web site: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=20000039 Thanks Stefano Panzeri

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Two research fellow positions in Neuromorphic Olfaction
by Michael Schmuker Oct. 6, 2020

Oct. 6, 2020

We have two Research Fellow positions available, funded through the NSF/MRC NeuroNex grant “Odor to Action”, an international consortium of 16 world-leading research groups from the US, Canada, and the UK. The consortium will apply their joint expertise in computational and experimental neuroscience, behavioural studies, fluid dynamics, and fragrance chemistry to unlock how brains use natural stimuli to generate adaptive natural behaviours. Apply to join an interdisciplinary team of computational neuroscientists, AI researchers and computer scientists to investigate the neuro-computational principles of the sense of smell and translate them into approaches for machine and robot olfaction. Our team will investigate real-time machine olfaction using biologically realistic spiking networks, on neuromorphic hardware, embodied in robots, performing olfactory navigation in real time. We will also use machine learning to analyse experimental data provided by collaborators and to gain a deeper insight into fragrance space. For more information and to apply, please head to https://www.jobs.herts.ac.uk <https://www.jobs.herts.ac.uk/> , search for job vacancy 029755. Informal inquiries via email are welcome! — Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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Post-doc in Computational Neuroscience, University of Bologna, Italy
by Silvia Ferrara Oct. 6, 2020

Oct. 6, 2020

The ERC Project INSCRIBE Invention of Scripts and their Beginnings<https://site.unibo.it/inscribe/en>, based at the University of Bologna, Italy, seeks candidates for a postdoctoral position in interdisciplinary research with expertise in computational neuroscience. The selected candidate will straddle the borders of neuroscience, cognition and the evolution of graphic codes, in order to apply quantitative methods to large databases with the goal of establishing commonalities worldwide in the evolution of symbols from a broadly cognitive, and more specifically, motor-driven and visual perspective. The ideal candidate will have earned a PhD in either neuroscience or neural computational sciences, with extensive skills in statistical methods. His/her research results will be published in general audience, as well as specialized open-access, peer-reviewed journals, and will be presented at scientific conferences. The position is renewable on a yearly basis, up to three consecutive years and can be held remotely. Deadline: 28 October 2020. For more information on how to apply: https://site.unibo.it/inscribe/en/jobs or contact: s.ferrara(a)unibo.it. Thank you Silvia Ferrara Full Professor Department of Classical Philology University of Bologna Via Zamboni 32, 40126 Bologna, Italy https://www.unibo.it/sitoweb/s.ferrara ERC Consolidator 2017 Principal Investigator INSCRIBE Invention of Scripts and their Beginnings<https://site.unibo.it/inscribe/en> Resident Fellow, Institute of Advanced Studies (ISA) University of Bologna Senior Research Fellow, Sapienza School for Advanced Studies (SSAS) Sapienza, University of Rome

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Call For Abstracts - Workshop on Affective Shared Perception (WASP)
by Pablo Vinicius Alves De Barros Oct. 5, 2020

Oct. 5, 2020

Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: https://forms.office.com/Pages/ResponsePage.aspx?id=XkYvv3Ufb0u-Kb9TJzvB2u5… III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-percepti…) The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy VII. Acknowledgment The workshop is organized in the framework of the Starting Grant wHiSPER (G.A. No 804388) funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme. ---------------------------------------- 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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GEM2021 - Registration open
by Vinita Samarasinghe Oct. 5, 2020

Oct. 5, 2020

Registration has opened! *GEM 2021**- Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 <https://for2812.rub.de/gem2021> 16-18 February 2021 The workshop will take place in virtual space and is free of charge. The main workshop will be preceded by a PhD symposium, for which submissions are now being accepted via EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021> Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - University of Syracuse, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Call for papers The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de <https://for2812.rub.de> is proud to announce a call for papers for its first workshop on generative episodic memory. We invite submissions for talks and posters https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Paper submission deadlines [GMT +1 (CET)]: Abstract submission - 15.11.2020 Notification of acceptance - 19.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe(a)ini.rub.de

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Postdoc position in learning and decision making in Chicago
by Thorsten Kahnt Oct. 4, 2020

Oct. 4, 2020

A postdoc position is available in the Kahnt Lab at Northwestern University. The work will involve neuroimaging (fMRI), neurostimulation (TMS), and computational modeling to study learning and decision making in humans. Research in the Kahnt Lab (www.Kahntlab.org) focuses on the neural systems supporting learning, decision making, and olfaction in humans. Experimental techniques include behavioral testing, fMRI, diffusion MRI, olfactory psychophysics, and TMS. We utilize advanced data analysis techniques and computational modeling. The ideal candidate will have relevant research experience and will bring a unique perspective and background to the lab. Start date is flexible, but a start in 2020 is preferred. Please send your application package (cover letter, CV, and 1-3 selected publications) as a single PDF to thorsten.kahnt(a)northwestern.edu. Review of applications will begin immediately and will continue until the position is filled. For more information see: www.kahntlab.org/s/postdoc_job_posting_2020-5e32.pdf Thorsten Kahnt, PhD Assistant Professor Department of Neurology Northwestern University Feinberg School of Medicine 320 E Superior St, Searle 11-463 Chicago, IL 60611 thorsten.kahnt(a)northwestern.edu kahntlab.org twitter.com/kahntlab

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NEURAL COMPUTATION - February 1, 2020
by Terry Sejnowski Oct. 2, 2020

Oct. 2, 2020

Neural Computation - Volume 32, Number 2 - February 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/2 http://cognet.mit.edu/content/neural-computation ----- Article Face Representations via Tensorfaces of Various Complexities Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka Letters Transition Scale-spaces: A Computational Theory for the Discretized Entorhinal Cortex Nicolai Waniek From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and Wojciech Mateusz Tarnowskic Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity Jure Demsar, Rob Forsyth Scaled Coupled Norms and Coupled Higher Order Tensor Completion Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka Improving Generalization via Attribute Selection on Out-of-the-box Data Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

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PhD/post-doc opening on Neuro-AI in Montreal, Canada
by Muller Eilif Oct. 1, 2020

Oct. 1, 2020

I'm happy to announce the Architectures of Biological Learning Lab is Hiring! I'm looking for exceptional candidates at the MSc, PhD or post-doc level to work on "Dendritic Algorithms for Perceptual Learning". The project will employ simulations of pyramidal neurons and plasticity, and deep convolutional networks to study representation learning in the neocortex. Prior experience with Python, NEURON, and/or PyTorch would be an asset. This project will be undertaken in collaboration with Profs. Yoshua Bengio (UdeM, Mila), Roberto Araya (UdeM, CRCHUSJ), and Blake Richards (McGill, Mila). Montreal, Canada is a thriving international hub for Artificial Intelligence and Neuroscience research, with a booming AI industry. It's where Donald O. Hebb originally formulated Hebbian Learning. It's also a vibrant, funky, cosmopolitan yet affordable city of over 4 million, referred to as "Canada's Cultural Capital" by Monocle magazine. In 2017, Montreal was ranked the 12th-most liveable city in the world by the Economist Intelligence Unit in its annual Global Liveability Ranking, and the best city in the world to be a university student in the QS World University Rankings. For more details and instructions how to apply, please visit: https://bit.ly/3l1PGFH --- Eilif B. Muller, Ph.D.<https://research.chusj.org/en/Axes-de-recherche/Bio?id=a7716033-22af-49a0-8…> IVADO Assistant Research Professor Department of Neurosciences, Faculty of Medicine, University of Montreal Associate Faculty Member - Quebec Artificial Intelligence Institute (Mila) Centre de recherche du CHU Sainte-Justine 3175 Côte Sainte-Catherine, Montréal QC H3T 1C5, Canada

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POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE IN PARIS AND BASEL
by Rava A. da Silveira Sept. 30, 2020

Sept. 30, 2020

*Several postdoctoral openings in the lab of Rava Azeredo da Silveira **(Paris & Basel)* The lab of Rava Azeredo da Silveira invites applications for *Postdoctoral Researcher* positions at ENS, Paris, and IOB, an associated institute of the University of Basel. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). One of the postdoc positions to be filled in Basel will be part of a collaborative framework with Michael Woodford (Columbia University) and will involve projects relating the study of decision making to models of perception and memory. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 30 October 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ including a list of publications; 4. any relevant publications that you wish to showcase. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-POSTDOC” in the subject header, otherwise the application will *not* be considered. *** *ENS,* together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Sorbonne Université, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. *IOB* is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. IOB is an equal-opportunity employer with family-friendly work policies. *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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COSYNE 2021: Meeting announcement and call for abstracts
by Tomas Hromadka Sept. 29, 2020

Sept. 29, 2020

==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 27 February - 01 March 2021 www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne 2021 will take place online, February 27 - March 1, 2021. The goal of this year’s meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks and an interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. The deadline for Abstract submission will be November 12, 2020. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. IMPORTANT DATES Abstract submission opens: 11 October 2020 Abstract submission deadline: 12 November 2020 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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(on behalf of Loren Frank) faculty position @ UCSF
by Peter Dayan Sept. 29, 2020

Sept. 29, 2020

The Department of Physiology at UCSF is seeking a visionary neuroscientist to join our vibrant and collaborative discovery research community. This open-rank, tenure-track faculty position is part of a multi-year UCSF institutional initiative that began in 2018 to foster equity and inclusion in biomedical research and to promote the success of our diverse student population. Since launching this effort, UCSF has tripled the number of underrepresented faculty in our basic sciences departments and this critical mass will continue to grow. Candidates are expected to hold a Ph.D. and/or M.D., to have demonstrated significant research accomplishment and potential, and to be committed to the mentorship of students, with a particular emphasis on candidates with demonstrated success mentoring students from groups that are historically underrepresented in biomedical science. We encourage outstanding candidates who are early in their postdoctoral research training to apply, even if their main findings are not yet published. The successful candidate will be expected to establish a dynamic and interactive research program focused in the field of integrative neuroscience, which could include molecular, genetic, cellular, systems, behavioral, computational, and engineering approaches. The candidate would become a member of the Kavli Institute for Fundamental Neuroscience, the Center for Integrative Neuroscience, and the Weill Institute for Neuroscience at UCSF. The candidate would be expected to join the UCSF Neuroscience Graduate Program and, if so desired, one or more of our other top-ranked interdisciplinary graduate programs (see https://graduate.ucsf.edu/list-programs) The candidate, like all faculty at UCSF, will also be expected to contribute to graduate teaching, to be a leader in inclusive mentoring practices, and to participate in activities that promote equity and inclusion at our institution and in the broader scientific community. Service and teaching expectations are comparable to those of any other UCSF tenure-track faculty position. Faculty appointment will be made at a professorial rank commensurate with current academic standing. UCSF offers competitive salaries, research set-up funds, and recruitment allowances, and has numerous opportunities for faculty development and further training in mentorship. Applications must be submitted online and include the following documents in a single PDF: (1) cover letter briefly describing how the candidate fits the position; (2) curriculum vitae; (3) 1-page summary of research accomplishments demonstrating the candidate’s scientific leadership through their contribution to their project(s) and describing the potential impact of their work on the field of neuroscience; (4) 2-page description of future research plans that includes both high risk / high reward projects and an NIH-fundable program; and 5) a statement of personal experiences with, and contributions to, issues related to social and racial justice, equity, diversity, and inclusion, with particular attention to demonstrated success with formal and informal mentoring of individuals from historically underrepresented groups. We encourage candidates to describe specific mentoring strategies to support the success of all trainees in their research group. Copies of major publications that demonstrate the candidate’s ability to carry out creative and impactful work should be included. Applicants should request three to five letters of recommendation describing how the candidate meets the criteria in this job description. We encourage recommenders to provide explicit examples to illustrate their statements. We expect candidates to provide a letter from their postdoctoral and graduate advisors but will consider candidates who can provide justifications when these will be lacking. Review will begin on December 1, 2020 and continue until the position is filled. Please direct inquiries about the position and suggestions of potential candidates to Dr. Loren Frank (loren(a)phy.ucsf.edu) As an institution that values diversity, UC San Francisco especially encourages application from historically excluded groups, including but not limited to racially underrepresented individuals, women, and individuals with a commitment to mentoring historically excluded groups in the sciences. UC San Francisco seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. Please apply online at https://aprecruit.ucsf.edu/JPF03083.

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postdoc/PhD students needed
by Alexey Kuznetsov Sept. 28, 2020

Sept. 28, 2020

*POSTDOCTORAL POSITION* *Indianapolis, Indiana, United States* A postdoctoral position and/or PhD student positions are available for a cutting-edge project on computational modeling of habit formation. The project takes place in the excellent collaborative environment of the Indiana Alcohol Research Center and studies the influence of alcohol on habits. The post-doc will develop a model of the cortico-striatal brain circuitry affected by alcohol. The post-doc will work with Prof. Kuznetsov (Mathematics Dept. IUPUI) and collaborate with experimentalists Prof. Atwood (IUSM) and Prof. Lapish (Psycology Dept. IUPUI). The position is available beginning December 2020 for one year. The continuation is contingent upon the availability of funds. *Qualifications*: Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience. Experience in modeling the basal ganglia is desirable. *How to Apply:* Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet(a)iupui.edu. IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Cindy Ritchie at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.edu and www.math.iupui.edu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN

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Postdoctoral position at BU (Nancy Kopell) and MIT (Emery Brown)
by McCarthy, Michelle M Sept. 28, 2020

Sept. 28, 2020

Dear Comp-Neuro Community, The Kopell lab at Boston University has an open position (2 years with the possibility of renewal) for a postdoctoral associate to work on computational models concerning mechanisms of anesthesia, with experimental work to be done in the labs of Emery Brown, Earl Miller and others. The models are physiologically detailed (Hodgkin-Huxley based), linking anesthetic-mediated changes in physiology to changes in brain rhythms and their coordination both locally and across the brain; the models further link the brain rhythms to changes in consciousness. The work is relevant to sleep and brain disorders. Programming proficiency and modeling experience is necessary and some neuroscience training is desirable. Please send inquiries and applications to Xiaoshi Shi (xiaoshi(a)bu.edu<mailto:xiaoshi@bu.edu>) and nk(a)bu.edu<mailto:nk@bu.edu>. Nancy Kopell Department of Mathematics and Statistics Boston University, Boston MA 02215

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Two Cardiac Simulation/Computational Neuroscience postdoc computer modeling positions are available for development of a novel ICNS (intrinsic cardiac nervous system) simulation project.
by Salvador Dura Sept. 28, 2020

Sept. 28, 2020

Our new NIH SPARC Initiative ICNS project aims to build and establish a new model of RAGP (right atrial ganglionic plexus) The work is being done as a collaboration between SUNY Downstate (Brooklyn, NY), and Jefferson University (Philadelphia, CT) under the auspices of a 2-year NIH SPARC Initiative grant. The two new postdocs will work closely together - one focusing primarily on cell-level modeling and the other primarily on network but with both expected to work in both areas. Candidates should have a strong background in computer programming, with demonstrated proficiency in Python. Strong interest, though not necessarily research experie nce, in neuroscience is a must. Some experience with NEURON and NetPyNE is desirable. Job Types: Full-time or Contract contact: bill.lytton(a)downstate.edu<mailto:bill.lytton@downstate.edu> -- William W. Lytton, MD SUNY Distinguished Professor Downstate Medical Center, Brooklyn, NY bill.lytton(a)downstate.edu; http://neurosimlab.com ________________________________________________________________

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postdocs with Peter Dayan in Tübingen
by Peter Dayan Sept. 28, 2020

Sept. 28, 2020

Postdoc(s) in Neural Reinforcement Learning / Computational Psychiatry (m/f/d) 100% Peter Dayan is looking to hire one or more postdocs (100%) to work in the areas of neural reinforcement learning, computational neuromodulation, and computational psychiatry. These positions will start in the Faculty of Science, Department of Computer Science, University of Tübingen, as part of an Alexander-von-Humboldt Professorship award. There are also targeted positions on the computational anatomy of cortico-striatal connections (funded by a collaborative NIH grant with Professor Suzanne Haber) and with the International Brain Lab (a large collaboration with 20 other investigators, funded by the Simons Foundation). Peter Dayan has an affiliation with the University of Tübingen and the Max Planck Institute for Biological Cybernetics and collaboration is expected. The salary will be paid in accordance with the collective agreement for the public sector (salary at E13 TV-L, commensurate to experience and qualifications). The positions are available immediately, and are initially limited to two years (with the possibility of extension). Please direct scientific inquiries to dayan(a)tue.mpg.de and administrative inquiries to susan.fischer(a)tue.mpg.de. Responsibilities include: • Planning and carrying out research projects, for instance building theories and computational models of data from human and animal experiments, conducting experiments, analysing behavioural and neural data, writing and editing scientific papers/reports. • Helping to mentor and supervise student projects. • Participating in scientific conferences. • Helping to organize and conduct collaborations in Tübingen as well as nationally and internationally • Helping with building and running an effective academic lab environment at the intersection between the Max Planck Institute for Biological Cybernetics and the science and medical faculties at the University of Tübingen. The successful candidate(s) should have a PhD in computational neuroscience or related fields. Proficiency in a high level mathematical or statistically-oriented programming language such as python, R, Julia or matlab, and intimate familiarity with advanced data analysis are essential. The candidate(s) should be able to work independently and troubleshoot and should show good capacity and value for teamwork and communication skills. The University of Tübingen is one of the Excellence Universities in Germany. It is home to a vibrant research community, with very strong research activity in Neuroscience and Clinical Psychology / Psychiatry as well as Artificial Intelligence and Machine Learning. We offer an open research culture, where original thinking and academic merit are encouraged and nurtured, and encourage applications from all nationalities, backgrounds, and genders. The University of Tübingen is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, the position for which the application is intended, and the names and contact details of three referees. Applications should be sent in a single PDF to: susan.fischer(a)tue.mpg.de Applications arriving before June 30th 2020 will receive full consideration.

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Join us at the NMC 3.0 conference, Oct 26-30, submissions open now
by Brad Wyble Sept. 27, 2020

Sept. 27, 2020

Dear Neuroscience Community, We are excited to announce the launch of Neuromatch Conference (Oct 26-30). The Neuromatch team has been working hard to bring a virtual conference that accepts submissions from all areas of neuroscience, and where all relevant submissions are accepted as a talk! Our goal with this conference is to provide a place where neuroscientists from all over the world get to share research ideas and come together as a community! We’re working hard to make it the most inclusive neuroscience meeting that has ever existed. The deadline for submissions is October 2, 2020, so we encourage you to get your abstracts ready now! There is a $25 registration fee but this is waivable (no validation required) for anyone who cannot pay to attend for any reason. Please view our website for more information regarding submission and registration: neuromatch.io <http://neuromatch.io/>j The conference will be organized by themes, tailored to fit your area of research best. These themes will be: Theme A: Developmental Disorders and Injury Theme B: Excitability, Synapses, and Glia Theme C: Sensory & Motor Systems, and Physiology & Behavior Theme D: Cognition, Motivation and Emotion Theme E: Computation and Techniques Theme F: History, Education, and Society We developed algorithms that will allow us to place you in a virtual room with other scientists and attendees who are interested in similar topics, therefore ensuring an audience that is excited about your talk. The talks will have two formats, and you will be able to choose which one you prefer - Traditional Talk: 12-minute talk plus 3-minute Q&A - Interactive Talk: 5-minute talk plus 10-minute Q&A (this talk is focused on discussion) We hope that you will attend the Neuromatch Conference and consider submitting your abstract for presentation! We would love to hear from you and see everyone’s latest results.. Best wishes, The Neuromatch Team Please follow our social media and visit our website for regular updates @Neuromatch <https://twitter.com/neuromatch?lang=en> @Neuromatch <https://www.instagram.com/neuromatch/> neuromatch.io -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com

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2 postdoc positions in computational neuroscience
by Alain Destexhe Sept. 26, 2020

Sept. 26, 2020

Dear Colleagues, Please pass on these two positions that we have for postdocs in computational neuroscience at the Paris-Saclay Institute of Neuroscience - many thanks. best, Alain ---------------- 2 POSTDOC POSITIONS AVAILABLE Two postdoc positions are available for computational and theoretical studies in the framework of the Human Brain Project. The theoretical work associated to these two postdoctoral positions consists of (1) investigating models and mathematical techniques to model decision making phenomena (in collaboration with Rubem Moreno-Bote in Barcelona), and (2) investigate models of sensory perception, up to consciousness (in collaboration with Fanis Panagiotaropoulos and Stan Dehaene at NeuroSpin). Both postdocs will be supervised by A. Desyexhe and will work in tight collaboration with the European Institute for Theoretical Neuroscience (EITN). DETAILS OF THE FIRST POSTDOC POSITION: We are seeking for a postdoc position in the framework of a project called "COREDEM", and which was recently integrated in the Human Brain Project European flaghsip. COREDEM aims at conceiving decision making models based on electrophysiological recordings in human and monkey, and ultimately test these models on neuromorphic and neuro-robotic applications. The project comprises a significant computational neuroscience component consisting mainly of two laboratories, Alain Destexhe at the CNRS and Paris-Saclay University, and Ruben Moreno-Bote at the UPF in Barcelona. We will consider spiking models that will compare parallel and sequential strategies to decision making, in a way constrained by unit recordings in monkey and human. Mean-field models will be derived from the spiking models, and such mean-field models will be incorporated in large-scale models of interacting brain areas. Both spiking and mean-field models will be integrated in neuromorphic SpiNNaker computers to be simulated in real time, to open the possibility of being used in real-time applications such as neuro-robotics. The postdoc can begin as early as January 2021, and latest on March 2021, and will be for a 2-year period. We expect that candidates have prior experience either in computational neuroscience, or in decision making. The working environment is the Paris-Saclay Institute of Neuroscience (NeuroPSI) of the CNRS, which comprises 22 research labs in experimental and computational neuroscience, mixed in the same environment. The postdoc will thus interact on a daily basis with experimentalists and theoreticians, and regular visits to the experimental labs of COREDEM (Stefano Ferraina from Rome and Tom Theys from Leuven) are planned. The postdoc will also interact strongly with the researchers and staff of Destexhe's lab at NeuroPSI, and will actively participate to the activities of the EITN. DETAILS OF THE SECOND POSTDOC POSITION: We are seeking for a postdoc position in the framework of a project called "BRICON", and which was recently integrated in the Human Brain Project European flaghsip. BRICON aims at investigating mechanisms of sensory perception and consciousness based on a strong interaction between computational models and experiments on human and monkey. The model will consider how the state of the brain interacts with external input and allows neural activity related to external input to propagate (or not) between brain areas. We will constrain the model based on unit recordings obtained in awake monkey collected by the experimental teams (Fanis Panagiotaropoulos and Stanislas Dehaene, NeuroSpin center). Models will start with conventional spiking neural networks, which then will be converted into population models using mean-field techniques. These mean-field model will then form the basis of whole-brain models simulated using The Virtual Brain platform of the HBP. The postdoc can begin as early as January 2021, and latet on June 2021, and will be for a 20 month period. We expect that candidates have prior experience either in computational neuroscience, or in sensory perception. The working environment is the Paris-Saclay Institute of Neuroscience (NeuroPSI) of the CNRS, which comprises 22 research labs in experimental and computational neuroscience, mixed in the same environment. The postdoc will thus interact on a daily basis with experimentalists and theoreticians, and regular visits to the experimental labs of BRICON (Panagiotaropoulos and Dehaene), who are working next-door in the NeuroSpin center. The postdoc will also interact strongly with the researchers and staff of Destexhe's lab at NeuroPSI, and will actively participate to the activities of the EITN. Interested candidates should send a CV and two recommendation letters at Alain Destexhe or email for more details. alain.destexhe (at) cnrs.fr Alain Destexhe Department of Integrative and Computational Neuroscience (ICN), Paris-Saclay Institute of Neuroscience (NeuroPSI), CNRS, Bat 33, 1 Avenue de la Terrasse, 91198 Gif-sur-Yvette, France.

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Postdoctoral position data/knowledge management for open neuroscience
by Andrew Davison Sept. 25, 2020

Sept. 25, 2020

Dear colleagues, A postdoctoral position in neuroscience data curation is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, led by Dr Andrew Davison. The Human Brain Project is developing an open data repository for neuroscience, following the FAIR principles of Findability, Accessibility, Interoperability, and Reusability. The role of our group is to strongly focus on Reusability, by ensuring that all datasets have high quality, in-depth metadata so that they can be used in model building, model validation, and further analysis, and by providing tools to facilitate data re-use. The position is available immediately, and is funded until 31st March 2023, with future extensions possible. Salary depends on experience, and will be on the standard CNRS research scale. Application is through the CNRS jobs portal: https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-006/Default.aspx?lang=EN Informal inquiries may be addressed to Andrew Davison (andrew.davison(a)cnrs.fr) Activities: The successful candidate will be responsible for developing and improving metadata schemas, protocols, and curation workflows for neural activity data (including patch clamp recordings, fluorescence imaging, multi-electrode array recordings and fMRI), and for coordinating the in-depth curation process. The project will involve intensive collaboration with other researchers, curators and software developers within the research group, within the Human Brain Project, and in the wider neuroscience/neuroinformatics communities. Qualifications: Applicants should have a PhD in either neuroscience, computer science, library/information science, or a closely related discipline, or be nearing completion of PhD studies in one of these domains. Experience with experimental methods in neuroscience, semantic web technologies and/or information management approaches will be of particular benefit. Knowledge of computer programming, in particular using the Python language, would also be an advantage. Knowledge of French would be helpful but is not required, as English is the working language of the project. Context: The Paris-Saclay Institute of Neuroscience (https://neuropsi.cnrs.fr/en/institute-home/) is part of the CNRS and Université Paris-Saclay, situated in Gif-sur-Yvette in the Paris region. The Davison team (https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/) develops tools and methods for data sharing, modelling and simulation in neuroscience and brain-inspired computing. This position is funded by the Human Brain Project, an EU Flagship research project, within which more than 100 universities and research institutions collaborate to build a digital research infrastructure for neuroscience, brain-inspired computing and medicine.

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You are invited to DSP online course
by Maryam Sept. 24, 2020

Sept. 24, 2020

You are invited to “DIGITAL SIGNAL PROCESSING Online Course” Dear researcher; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-sessions “DIGITAL SIGNAL PROCESSING Online Course” that is going to start on October 18,2020. During this course you will learn: • Discrete-time signals and systems • Z-Transform • Transform of continuous-time signals • Transform analysis of linear time invariant systems • Structures for discrete-time systems • Filter design • The discrete Fourier Transform • Computation of the discrete Fourier transform Dr. Luu Gia Thien is an experienced lecturer at Ho Chi Minh City with a Doctor of Philosophy (PhD) focused in Digital signal processing from University of Orléans, France. Registration is open until October 5th. Special discount is considered for students. You won’t want to miss this! Don’t hesitate and register from the link below: https://sciencebeam.com/luu-gia-thien-course/ If you need more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop(a)sciencebeam.com www.sciencebeam.com

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Software engineer position in human brain project
by Eloy Retamino Sept. 23, 2020

Sept. 23, 2020

Position: Neuro-robotics Software Engineer Location: Granada, Spain At the Applied Computational Neuroscience (ACN) Group [1], headed by Prof. Eduardo Ros and part of the Computer Architecture and Technology Department at University of Granada, we are engaged in developing robot controllers from models and techniques drawn from neuroscience. Concretely we focus on the exploration of models of the cerebellum and their application in robot control. We are looking for a software engineer to contribute to our tasks in the Human Brain Project (HBP) [2]. HBP is an ambitious, 10 years long research project funded by the European Commision and targeting the exploration of human cognition and its relation to brain structures and activity. The project is developing a series of simulation platforms to facilitate different levels of research in neuroscience. At UGR we participate in the design and development of the Neuro-Robotics Platform (NRP) [3], a research infrastructure which enables embodied simulated experiments in neuroscience in which a spiking neural simulator and a physics simulator run synchronously and communicate in a closed loop fashion. As a member of our group you will contribute to the development of the NRP in the last stage of the HBP. *Your tasks* Contribute to the full cycle development of the NRP. We have some interesting challenges in this last part of the HBP and need a motivated person with experience and passion for software architecture design, physics and neural simulation and robotics. As well, the NRP is built as a production grade software product and we try to take seriously all steps in the development, including unit testing, quality assurance and continuous integration. Depending on your profile you will focus more on particular tasks suiting your experience with the possibility of learning and applying new skills. *Your profile* * Basic skills: - Demonstrable excellent Python and C/C++ programming skills - Experience and participation in collaborative software projects - Experience and passion in robotics, machine learning, neural simulation and/or physics simulation is a big plus - Good spoken and written English skills * Additional skills: - Experience in other programming languages - Version Control software (eg. GIT) - Robotics oriented middlewares and frameworks (eg. ROS) - Experience in Software Architecture design - Experience in Real Time systems design - QA and devops experience *Our offer* - You will participate in an international research project of great relevance and collaborate with top european institutions - Contract of two and a half years with a competitive salary according to experience. Offered brute salary range is 1600 - 2400 €, to be concreted according to relevant experience and skills. - Short trips within Europe as part of the project activities. - Very nice and friendly atmosphere in the group - You will be based on Granada, an exciting and cultural city at the South of Spain half an hour away from mountains, snow and the beach If you are interested in joining our group and HBP send your application to Eloy Retamino (retamino at ugr.es) including your CV and a motivation letter. Please note that only shortlisted candidates will be contacted. Also, applications without a dedicated motivation letter will not be considered. [1] http://acn.ugr.es [2] https://www.humanbrainproject.eu [3] https://neurorobotics.net

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International Max Planck Research Schhol NeuroCom: Call for applications
by Martin Bogdan Sept. 23, 2020

Sept. 23, 2020

Call for applications: International Max Planck Research Schhol NeuroCom: Call for applications The International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom) invites excellent students holding a master's degree (or equivalent) to pursue a PhD in the field of cognitive neuroscience and methods in cognitive neuroscience. The IMPRS NeuroCom is based at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and Leipzig University. It also closely partners with the Max Planck Institute for Evolutionary Anthropology, Leipzig, and the Institute of Cognitive Neuroscience at University College London, UK. Deadline for applications is 15 November 2020. Interviews will take place in January 2021. Start date is flexible, but not later than autumn 2021. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . The IMPRS NeuroCom aims to recruit and educate motivated, independent, self-organised and highly talented scientists who wish to extend their knowledge and research experience in a structured 3-year PhD programme in order to pursue a successful career in cognitive neuroscience, clinical neuroscience, neurophysics, or other methods in cognitive neuroscience. Students are expected to hold an excellent master's degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive neuroscience, psychology, medicine, neurobiology, linguistics, computer science, engineering, mathematics, physics, biochemistry, or related fields. The master’s degree should have been awarded by an internationally recognised university. Students nearing completion of their master’s degree are also encouraged to apply. Research experience in an area that is related to the graduate school’s scope is essential for successful candidates. Proficiency in oral and written English is crucial. The IMPRS NeuroCom offers its doctoral students outstanding research opportunities in a very international and multidisciplinary environment. It includes access to state-of-the-art cognitive and imaging neuroscience facilities, e.g. 7T MRI scanner, four 3T MRI scanners including a Connectom MRI scanner equipped with ultra- strong gradients (one of only four worldwide), a 306 channel MEG system, several TMS, TDCS, NIRS, and EEG systems. Research projects and teaching at IMPRS NeuroCom are assigned to four thematic modules (Language and Communication, Cognitive and Affective Neuroscience, Basic and Clinical Neuroscience, and Neuroimaging Physics and Signal Processing). Our faculty is very interdisciplinary and comprises more than 30 highly- renowned researchers from our participating research organisations performing high-end research related to one of the four modules. Applications will be evaluated by the IMPRS NeuroCom faculty members in two stages. Firstly, candidates will be selected for interviews based on their written applications, with a focus on academic qualifications, personal references, research experience and interests, and suitability to the programme. Secondly, interviews with the IMPRS NeuroCom faculty members will take place in January 2021. The Max Planck Society is an equal opportunity employer and is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Salary is based on the guidelines of the German public sector pay scale (TVöD). With almost 600,000 inhabitants, Leipzig is the largest city in the federal state of Saxony. In more than 800 years of recorded history, Leipzig emerged as a city of classical music, trade fairs, academic education, and —recently—modern arts. With its many parks, forests, canals and lakes, Leipzig is a perfect place for recreation, sports, and leisure time, and it offers plenty of opportunities for social life. Only recently Leipzig was listed by the New York Times as one of the 52 places to go in 2020. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . -- ************************************************************************** Prof. Dr. Martin Bogdan Institut für Informatik Neuromorphe Informationsverarbeitung Universität Leipzig Augustusplatz 10 D-04109 Leipzig Germany Postadresse: PF 100920 D-04009 Leipzig Tel: (++49) 341 97 32208 Fax: (++49) 341 97 32252 E-mail: bogdan(a)informatik.uni-leipzig.de https://ti.informatik.uni-leipzig.de/ ************************************************************************** Denken Sie selbst, sonst tuen es Maschinen für Sie! 'Nihil est ab omni parte beatum' (Horaz) El problema de la humanidad es que los estúpidos están seguros de todo y los inteligentes están llenos de dudas **************************************************************************

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Postdoctoral Position in Cognitive Robotics at UC Irvine
by Jeffrey Krichmar Sept. 22, 2020

Sept. 22, 2020

Dear Colleagues, We have an opening for a postdoctoral scholar position in the Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. The position is for research projects on neurobiologically inspired models of navigation, which are to be implemented on indoor and outdoor robots. Applicants should have a strong computer science background, robotics experience, as well as an interest in neuroscience and/or cognitive science. The specific Federally funded projects include: · Cognitive Maps in Rats, Robots and Men · Advantages of Varying Navigational Abilities in Humans and Robots More information about the lab, recent publications, software, and videos can be found at: · http://www.socsci.uci.edu/~jkrichma · https://www.youtube.com/user/cognitiveroboticsuci/videos Interested candidates can find specific application requirements and the online application for this position at: · https://recruit.ap.uci.edu/JPF06408 Your cover letter should specify that you are interested in the postdoctoral position with Jeff Krichmar. If you have any questions, feel free to contact me at: jkrichma(a)uci.edu About UCI (www.uci.edu) In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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[Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2020 Workshop
by SVRHM Workshop Sept. 22, 2020

Sept. 22, 2020

The goal of the Second Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM) at NeurIPS 2020 is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities. In the past few years, machine learning tools — especially deep neural networks — have permeated the vision/cognitive/neuro science communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made in the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields. The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to share their work in progress at the Poster Session that are applicable to the scope of the Workshop. For the first time this year, the 4 highest scoring papers will also be awarded an Oral Presentation entry in the program. The following areas provide a sense of suitable topics for 4-5 page paper submissions: - Biological inspiration and inductive bias in vision - Human-relevant strategies for robustness and generalization - New datasets (e.g., for comparing humans/animals and machines) - Biologically-driven self-supervision - Perceptual invariance and metamerism - Biologically-informed strategies to mitigate adversarial vulnerability - Foveation, active perception, and attention models - Intuitive physics - Biologically inspired Generative Models - Perceptual and cognitive robustness - Nuances and noise in perceptual and cognitive systems - Creative problem-solving - Differences and similarities between humans and deep neural networks - Canonical computations in biological and artificial systems - Alternative architectures for deep neural networks - Reverse engineering of the human visual system via deep neural networks We will be awarding a new *NVIDIA Titan RTX* *3080* as the *Diversity in AI Best Paper Award* and an *Oculus Quest* *2* as the *Breakthrough in Biologically-Driven Generative Models Award* respectively at the conference. Link to the workshop with additional details for the Call for Papers: https://www.svrhm.com https://www.svrhm.com/call-for-papers Link to Paper workshop submission: https://openreview.net/group?id=NeurIPS.cc/2020/Workshop/SVRHM The submission deadline is October 4th, 2020. Questions regarding the workshop should be sent to: svrhm2020(a)gmail.com Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths The SVRHM workshop is currently sponsored by MIT’s Center from Brains, Minds and Machines (CBMM), National Science Foundation (NSF), NVIDIA, Facebook Reality Labs (Oculus) and MIT’s Quest for Intelligence.

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Full Prof Post in AI
by Thomas Wennekers Sept. 21, 2020

Sept. 21, 2020

Dear All Please have a look at the following advertisement for a Professorship in AI at the University of Plymouth (UK). https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… https://www.jobs.ac.uk/job/CBH704/professor-in-artificial-intelligence-mach… Stay Well! Thomas Wennekers ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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M2/PhD pisition in Optical analysis of sodium currents in the axon initial segment
by luiza filipis Sept. 21, 2020

Sept. 21, 2020

Stage « Master 2 » : Optical analysis of sodium currents in the axon initial segment We propose a Master 2 (M2) stage that can be extended to a 3-4 years PhD project on the study of the sodium currents that generate the action potential in neurons. To this aim, we use cutting-edge optical techniques entirely developed by our group and NEURON modeling. The stage will take place at the Laboratoire Interdisciplinaire de Physique in the campus of the University of Grenoble. This stage, of 4-6 months, is available for students at the final year of the University to start in February or March 2021.We will offer this opportunity to a brilliant student motivated to begin a career in scientific research. A PhD scholarship is already available starting in October 2021 to apply the research of the M2 project to investigate mutations of the sodium channel Nav1.2 associated with neurological diseases. For an overview of the activity and of the achievements of our group, visit the website: http://marco-canepari.wix.com/neuron-imaging-team Applications of students, with a very high academic profile based on the notes obtained the entire university history, from different backgrounds (physics, biology, medicine or chemistry) will be equally considered. The application for the stage, in English or French, must be sent to: marco.canepari(a)univ-grenoble-alpes.fr and must include: • A motivation letter • A CV with contact details • The detailed marks of the entire academic history • (Optional) a reference letter from an academic who knows well the student The deadline for the application is October 10th 2020, but the call for applications will close before if a suitable candidate is found. -- Luiza Filipis,PhD Equipe MOTIV 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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Announcement: 2nd Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Nov 17-19, 2020
by Michael Denker Sept. 21, 2020

Sept. 21, 2020

***2nd Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Virtual Event Nov 17-19, 2020 Summary: This event delves into challenges in the reproducibility of neuroscience workflows dealing with classical electrophysiological activity data, such as spiking data or local field potentials, from experiment or simulation. The training will cover the complete cycle from generating structured and consistent data and metadata, accessing the data, pre-processing, setting up analysis workflows, up to the tracking of the provenance of the analysis results. In this context, the e-infrastructure services of EBRAINS offer a mature data, software and compute services ecosystem with community-driven tools developed in the framework of the Human Brain Project. In the first part of the workshop, participants will be trained in the use of tools covering the following topics: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing documents using the HBP Collaboratory [4] In the second part of the workshop, participants will work together with a tutor in small groups, on their own data and on particular personal interests in the scope of the workshop. To this end, participants are asked to provide a small abstract describing the data set they would like to bring and work on (contents of the dataset, data format, data size...) and the topic they are interested in. The latter may, for example, be related to: annotating the dataset with metadata for collaboration and sharing, working with the dataset in the Neo framework, or performing a certain kind of analysis with the data set. The goal of each group is to get started addressing the topic, identify solutions together with the tutors, and implement a first prototype of the required functionality. For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://kg.ebrains.eu [4] HBP Collaboratory, https://wiki.humanbrainproject.eu -- Dr. Michael Denker Institute of Neuroscience and Medicine (INM-6) Tel: +49 2461 61-9471 Computational and Systems Neuroscience & Fax: +49 2461 61-9460 Institute for Advanced Simulation (IAS-6) Theoretical Neurosciencewww.csn.fz-juelich.de Jülich Research Centre and JARA 52425 Jülich, Germany ---------------------------------------------------------------------- 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 ----------------------------------------------------------------------

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PhD positions in Math Biology & Computational Neuroscience at NJIT
by Victor Matveev Sept. 20, 2020

Sept. 20, 2020

Dear all, The Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT) is inviting candidates to apply to one of our doctoral program tracks: (1) Applied Mathematics or (2) Applied Probability & Statistics. The Department's research focus spans Mathematical Biology and Computational Neuroscience, Scientific Computing, Fluid Dynamics, Materials Science, Wave Propagation, Applied Analysis, Applied Probability & Statistics, including Biostatistics and Data Science. Teaching and research assistantships are available, and include a tuition waiver and a competitive stipend. Application target date is December 15, 2020 but ongoing review will continue until all available positions are filled. To apply, please visit our homepage: https://www.njit.edu/graduatestudies/department-mathematical-sciences/ For more information, please email us (math(a)njit.edu, CC: shahriar(a)njit.edu, matveev(a)njit.edu) PhD Program advertisement flyer is available here: http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf Sincerely, -- Admissions Committee, Department of Mathematical Sciences, NJIT -- _____________________________________________ Victor Matveev, Professor Applied Math, Biophysics, Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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Two open postdoc positions in Rutledge Lab at Yale
by Rutledge, Robb Sept. 18, 2020

Sept. 18, 2020

The Rutledge Lab in the Department of Psychology at Yale is accepting applications from prospective postdocs for 3-year postdoc positions with a flexible start date. Our lab uses computational models to study reinforcement learning, decision making, and affective states like happiness. We explore these questions using a combination of brain scanning, pharmacology, and large-scale smartphone-based experiments in healthy and clinical populations. Our previous app The Great Brain Experiment had over 100,000 users. We are looking for postdocs for a NIMH-funded project using longitudinal smartphone-based data collection with tasks and surveys in people with depression and control participants (N>600) including a subset (N>200) with fMRI data. Collaborators for rsfMRI: Avram Holmes (Yale), Faith Gunning and Conor Liston (Cornell Weill) Machine learning: Zeb Kurth-Nelson (DeepMind) Clinical and longitudinal: Akshay Nair (UCL), John Krystal, Leying Guan and Ralitza Gueorguieva (Yale) Further details can be found on our website (www.rutledgelab.org) Interested applicants are encouraged to contact Dr Rutledge directly (robb.rutledge(a)yale.edu) with a CV, a brief description of research interests, and a list of three references (names and email addresses).

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Registration, abstracts - Brain Criticality Virtual Meeting October 6 – 9 2020
by Plenz, Dietmar (NIH/NIMH) [E] Sept. 17, 2020

Sept. 17, 2020

Brain Criticality Virtual Meeting October 6 – 9 2020 https://braincriticality.org/ Organizers: Dietmar Plenz, Lucilla de Arcangelis, Dante Chialvo, Demian Battaglia This meeting intends to gather recent contributions in the field of systems neuroscience, with the purpose of further discussing the role of criticality and its implications in the dynamics of large neuronal populations, functional and structural connectivity, development and learning, robustness of system operation. Recent advances in selective recording and perturbation approaches involving large populations of neurons offer unique opportunities to test these predictions, challenge current interpretations of large data sets and trigger novel theoretical developments. The meeting will take place virtually. Registration is free but limited and allows interactively participating to discussions and submitting contributed abstracts. A free live streaming will also be offered. Deadline for registration is October 2nd, 2020 Abstracts submitted before Sunday September 27th will be considered for spotlight oral presentation. Remaining abstracts will be presented as virtual posters Follow us on FaceBook https://www.facebook.com/BrainCriticalityorg-121887946321170 Twitter https://twitter.com/brain_crit

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Postdoc positions in Neural Control of Speech Production, Massachusetts General Hospital and Harvard Medical School.
by Bush, Alan Sept. 17, 2020

Sept. 17, 2020

The Brain Modulation Laboratory (www.brainmodulationlab.org<https://www.brainmodulationlab.org/>) within the Department of Neurosurgery at Massachusetts General Hospital and Harvard Medical School, headed Dr. Mark Richardson, seeks to recruit a highly motivated and outstanding candidate to fill a postdoctoral associate position. This 3 to 5-year position is funded through a recently awarded NIH-NINDS U01 grant to Principal Investigator Mark Richardson, MD, PhD. The successful candidate will work in a highly interdisciplinary team, studying the role of cortical-basal ganglia networks during speech production, based on the analysis of intra operative local field potential and micro-electrode recording data acquired in the context of Deep Brain Stimulation implantation surgery. Co-investigators include Frank Guenther (BU), Nathan Crone (Johns Hopkins), Lori Holt (CMU), Julie Fiez (Pitt), and Rob Turner (Pitt). Experience in electrophysiology, speech comprehension and/or production research, and a solid background in computational neuroscience is required. Interested applicants please use following link https://neurojobs.sfn.org/job/27234/post-doctoral-associate/ Project Summary: Modulating how we speak is critical for effective communication. The production and modulation of speech, like other behaviors, relies on basal ganglia-thalamocortical networks, not merely on cortical processes. Current knowledge about how the basal ganglia modulate speech, however, is primarily theoretical, due to a lack of empirical data. Theoretical models for speech production, in turn, remain underdeveloped. Notably, no models of speech production include the subthalamic nucleus (STN), a basal ganglia node that has been implicated in multiple cognitive processes relevant to speech production (e.g. action selection/suppression, gain modulation, and motor learning). Using access to the brain that can only be provided by deep brain stimulation (DBS) surgery, we initiated studies to understand how motor speech information is encoded within the STN-cortical network. We established a novel experimental paradigm to simultaneously record primary motor electrocorticography (ECoG) and STN activity in subjects who are awake and speaking. In our initial project, we discovered separate populations of STN neurons whose inhibition or excitation was selective for either speech planning or production, respectively [1]. We also found that STN population activity tracks with specific articulatory motor features and with vocal gain adjustment [2]. Our discoveries indicate multiple roles for STN activity in speech planning and modulation, consistent with nonhuman primate data that STN neurons are functionally diverse and that the STN is innervated broadly from cortical areas critical for speech production in humans. We propose to build on our foundational results by exploring how a broader cortical-STN network participates in speech production. Specifically, we have developed a protocol for simultaneous recording of high-density ECoG from the inferior frontal gyrus (IFG), ventral sensorimotor cortex (vSMC), superior temporal gyrus (STG) and the STN. Our preliminary data support the hypothesis that these cortical speech areas communicate with the basal ganglia not only through cortical-striatal direct and indirect pathways, but also through a hyperdirect pathway to STN. These findings include the STG, consistent with evidence for basal ganglia participation in auditory processing. To uncover seminal knowledge about how cortical-basal ganglia dynamics shape speech, we will use intracranial electrophysiology to define the connectivity of speech-related cortex to the STN, while evaluating the role of cortical-STN and cortical-GPi dynamics in two basal ganglia functions critical for speech: motor sequence learning and gain modulation. Our invasive human neuroscience approach is unique in its ability to define, for the first time, a broad cortical-basal ganglia network for modulating speech. Establishing a neurobiological framework for cortical-basal ganglia network control of these processes will represent an order of magnitude change in our understanding of mechanisms for modulating speech, in turn informing how we model the dynamics of other human behaviors modulated by the basal ganglia. 1. Lipski, W. J. et al. Subthalamic Nucleus Neurons Differentially Encode Early and Late Aspects of Speech Production. Journal of Neuroscience 38, 5620–5631 (2018). 2. Chrabaszcz, A. et al. Subthalamic nucleus and sensorimotor cortex activity during speech production. The Journal of Neuroscience 2842–18 (2019). doi:10.1523/JNEUROSCI.2842-18.2019 Alan Bush, PhD Research Scientist, Department of Neurosurgery, Massachusetts General Hospital. Instructor, Harvard Medical School. 55 Fruit Street, Thier 429 | Boston, MA 02114 The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at http://www.massgeneralbrigham.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.

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Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland)
by Milekovic Tomislav Sept. 16, 2020

Sept. 16, 2020

Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson’s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist – Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen
by Compsens Sept. 16, 2020

Sept. 16, 2020

PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht. The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics. We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas: - physiologically-inspired neural modeling or neural data analysis - deep learning, biologically-inspired neural networks - machine learning with applications in cognitive science - motion capture and tracking - computer animation, virtual reality, game engines (e.g. Unreal, Unity) In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications. Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/) which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in Tübingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ‘Mechanisms of Mental Function and Dysfunction’ at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/) or at the International Max Planck Research School for Intelligent Systems (https://imprs.is.mpg.de/) Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic Tübingen. Email: martin.giese(a)uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/

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Postrdoc & PhD Positions in Human Multisensory Perception, Action & Learning, Ulm Germany
by Marc Ernst Sept. 16, 2020

Sept. 16, 2020

The Applied Cognitive Psychology Group at Ulm University, Germany headed by Prof. Marc Ernst is inviting applications for a research position on human multisensory perception, action and learning. The positions will be embedded in a highly interdisciplinary, international research group lead by Prof. Marc Ernst, who recently started a new group in the Faculty for Engineering, Computer Science, and Psychology at Ulm University. The focus of the group is on multisensory perception (with a focus on active audition, touch and vision), sensorimotor integration, perceptual learning, joint action and crowed behaviour and its applications to HCI. For their experimental work the group is predominantly relying on behavioral methods from psychophysics and experimental psychology. For this there are many state-of-the-art virtual reality and HCI setups available, including different projection systems for visual stimulation, force feedback and robotic devices including tactile displays for work on the human haptic system, a noise attenuation camber with an active audio setup for work on the auditory system and two unique treadmill setups for studies on human locomotion and navigation. Additionally there are several eye- and motion tracking systems available for the recording of human behavioural data. The groups has a strong focus on the modeling of human behaviour, relying heavily on the Bayesian Framework and the development of ideal observer models. Tow of these positions are funded by recent grant on navigation and crowed behaviour. Research and teaching is all in English. The successful candidate should have a background in psychology, cognitive science, computer science, or some neuroscience related field. Some modelling and programming experience is advantageous. Salary is according to German Public Service regulations and the positions are available immediately. Applications will be considered until the positions are filled. The application should include a cover letter stating the candidates research interests, curriculum vita, reprints (if available), and names of three referees. Electronic submission is preferred. All the best, --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

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computational neuroscience phd opportunities with Dan Goodman, Imperial College
by Dan Goodman Sept. 15, 2020

Sept. 15, 2020

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. There is no deadline, and applications will be considered as they arrive, but earlier applications typically have a higher chance of getting a funded place, and EU applicants in particular should apply immediately (see note below). At the moment, the main research direction in the group is in applying methods from machine learning to models with a more biological flavour than the artificial neural networks typically studied in machine learning. This could include neurons with temporal dynamics, spiking neurons, etc. The aim is to use machine learning methods to find biologically relevant insights. To get a feel for this sort of work, you might be interested in seeing some of the recorded talks <https://www.youtube.com/watch?v=5SrEycIbfRE&list=PL09WqqDbQWHFvM9DFYkM_Gfnr…> from a recent workshop I organised. However, our group has a fairly diverse range of interests and I am very happy to receive applications on a wider variety of topics than this (including theory of neural processing, auditory and other sensory systems, and simulation and data analysis). If you are interested in applying, please see the detailed instructions on my website: http://neural-reckoning.org/openings.html <http://neural-reckoning.org/openings.html> *Note on Brexit.* EU students starting a PhD in 2020-21 will still have the right to study in the UK, and be eligible for UK fee status and for financial support for the full duration of their course. However, the last opportunity for a funded place starting in the 2020-21 academic year will be a funding panel to take place in late October 2020, so EU candidates should get applications in as soon as possible, and please include a note in your email to me to make clear you are an EU candidate. Dan Goodman

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Post-doctoral position at the University of Manchester
by Riccardo Storchi Sept. 15, 2020

Sept. 15, 2020

We seek a passionate, self-motivated scientist to undertake the project “Action in Vision” aimed at understanding how motor actions affect visual processing. The successful candidate will have an established track record in computational biology, up-to-date programming skills and a strong passion for system neuroscience. Previous experiences in performing and/or analysing electrophysiological and behavioural data or in computer vision are desirable. The successful candidate will work with high density electrophysiological data from freely moving mice [1] and three-dimensional reconstruction of their natural behaviours [2]. The successful candidate will also be involved in the designing of the experiments. The post offers a great opportunity to work in an exciting field of neuroscience aimed at understanding sensory processing in natural unrestricted conditions. At the University of Manchester, the successful candidates will find themselves immersed in a collaborative, friendly and multidisciplinary environment with several labs working on fundamental research on sensory processing (vision, touch), memory and behaviour. The post, starting in January 2021, is for 2 years and potentially renewable for up to a total of 5 years. Informal enquiries can be made to Riccardo Storchi Tel: 0161 275 5050 Email *riccardo.storchi(a)manchester.ac.uk <riccardo.storchi(a)manchester.ac.uk>* *References: * [1] Storchi et al (2017) Neuron, 93(2):299-307. PMID: 28103478 [2] Storchi et al (2020) Current Biology, *in press*. See pre-print at: https://www.biorxiv.org/content/10.1101/2020.02.24.961565v3

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Ph.D. student position in computational neuroscience
by Tuomo Mäki-Marttunen Sept. 15, 2020

Sept. 15, 2020

We are looking for a highly motivated and talented Ph.D. student to work on biophysically and biochemically detailed neuron modelling. The position is fully funded, starting Jan 1st 2021 or as mutually agreed and lasting 3-4 years. Please send your application by 25th October. *Job description* The Ph.D. student is expected to work on computational modelling of mental disorder-linked disease phenotypes and their genetic mechanisms. The student will use and extend existing biophysically and biochemically detailed neuron models to study the disease mechanisms of schizophrenia. A specific aim of the Ph.D. project is to further the mechanistic understanding of schizophrenia-associated phenotypes such as deficits in prepulse inhibition and mismatch negativity and the contribution of genes identified by psychiatric genome-wide association studies to these phenotypes. The student will be supervised by Dr. Mäki-Marttunen at Tampere University, and will be employed in the Computational Neuroscience group led by Prof. Linne. The student is expected to be involved in our collaborative research with the Norwegian University of Life Sciences and University of Oslo (Prof. Gaute Einevoll and Prof. Ole Andreassen). *Requirements* We are looking for a candidate with a strong background in scientific computing and dynamical systems, and a deep interest in molecular and cellular-level neuroscience. The candidate should hold an M.Sc. degree in physics, mathematics, computer science, or a related field and have good verbal and written communication skills in English. The candidate should be deeply motivated in obtaining a Ph.D. degree in the field of computational neuroscience. Specific skills we are looking for: -Experience in numerical solution of ordinary and partial differential equations -Python programming and other programming skills -Previous experience in neuroscience and parallel computing is a plus *We offer* The position will be filled for a fixed-term period of three (3) to four (4) years. *The starting date is 1 December 2020 or as mutually agreed. **A trial period of six (6) months applies to all our new employees.* The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2—4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2350 - 2450 EUR/month. We offer a vibrant, English-speaking academic environment in Tampere, Finland. Tampere University is the second largest university in Finland. The project will employ local and national supercomputers needed for the simulations. The university offers a range of staff benefits, including occupational health care, flexible working hours, sports facilities, and several restaurants and cafés on campus with staff discounts. Read more about living and working in Tampere, Finland: https://www.tuni.fi/careers. For more information on Tampere, please visit https://visittampere.fi/en/. <https://visittampere.fi/en/> *How* *to* *apply* Please submit your application through our online recruitment system: https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694. *The closing date for applications is 25 October 2020 (23:59 EEST (GMT+3)).* *Please write your application and all the accompanying documentation in English and attach them in PDF format.* Please attach only the following documents to your application: * A letter of motivation and description of your research interests (max. 1 A4 page) * Curriculum vitae (see, e.g., the TENK template <https://www.tenk.fi/en/template-researchers-curriculum-vitae>), including the contact details of two referees). * Transcript of records (master's degree studies). See https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694 for details. *For further information, please contact:* Academy Research Fellow Tuomo Mäki-Marttunen tuomo.maki-marttunen(a)tuni.fi <mailto:tuomo.maki-marttunen@tuni.fi> Tampere University Finland

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Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway
by Michael Kampffmeyer Sept. 14, 2020

Sept. 14, 2020

Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway. We are seeking a postdoctoral research fellow to take an active role in the group’s research on advancing machine learning methodology. Special emphasis will be given to candidates who have experience working with modern machine learning, deep learning and data-driven health. Experience working with unsupervised or semi-supervised methods is desired. The overarching basic research idea is to develop unsupervised and semi-supervised approaches for machine learning and deep learning. The candidate will seek to develop novel methodology for use within the applied fields of the group. This includes data-driven health (close collaboration with the University Hospital of North Norway), as well as image analysis research together with collaborating partners, in addition to industrial research. The candidate is expected to master tools such as e.g. TensorFlow and/or Pytorch. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/190781/postdoctoral-research… The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Please contact Michael Kampffmeyer (michael.c.kampffmeyer(a)uit.no) or Robert Jenssen (Robert.jenssen(a)uit.no) for more info. Best, Michael

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Call for Abstracts - Workshop on Affective Shared Perception (WASP) - ICDL-EPIROB 2020
by Pablo Vinicius Alves De Barros Sept. 14, 2020

Sept. 14, 2020

Call For Abstracts - Workshop on Affective Shared Perception (WASP) Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: shorturl.at/ciCQX III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-percepti…) The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, 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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Pattern Recognition in Neuroimaging Summer School Lectures
by Jozsef Arato Sept. 13, 2020

Sept. 13, 2020

Dear All, The virtual summer school on Pattern Recognition in Neuroimaging at the University of Vienna is taking place this week (Sept. 14-18th). Registration is closed, but the live lectures are available free of charge, please visit our website (https://prni2020.univie.ac.at/) for more information. Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Mate Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) Looking forward to see you there. Jozsef Arato, PhD Program Chair, PRNI 2020 ______________________________ Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna <mailto:jozsef.arato@univie.ac.at> jozsef.arato(a)univie.ac.at

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Openings at the interface of Computational Neuroscience and AI
by sa474 Sept. 13, 2020

Sept. 13, 2020

Dear Colleagues, I would like to announce three new openings, 2 PhD candidate positions and 1 Research Assistant position, in my Lab at the Universitat Politècnica de València (UPV) in Spain, to participate in research projects related to Artificial Intelligence, Computational Cognitive Neuroscience, and their interface. Candidates for these positions are expected to have a quantitative background and strong interests in at least one of the following goals: - Apply state-of-the-art machine learning algorithms and/or neural circuit modeling to address questions in Life Sciences and Physics. - Adapt computationally efficient cognitive mechanisms into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms. - Identify physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning governing flexible, goal-directed behavior. Candidates should have a background in Computer Science, Electric Engineering, Physics, Math, Biology, or similar, and good programming skills (e.g., Python, R, Matlab, JavaScript, C++). Knowledge of dynamical systems modeling, time series analysis, machine learning and/or computational neuroscience would be an advantage. Candidates for the PhD positions should also have a Master degree, and candidates for the Research Assistant position should have a Bachelor degree, or similar. Gross salary for the PhD candidates and for the Research Assistant will be around 1400 €/month. Candidates from under-represented groups are strongly encouraged to apply. Our Lab is inclusive and committed to equity and diversity. The administrative period to apply at UPV will be from Sept 21 to Oct 2, 2020. The start date will be in November 2020. Candidates interested in these openings please contact me (Salva Ardid, E-mail: sardid at upv dot es) as soon as possible to know more about the selection process. Please provide an informal motivation letter (it can be embedded in the email body), a brief CV/resume, and the name and contact information of two referees willing to support your application with a recommendation letter. A brief note on our Lab’s location: Our group is located at the UPV campus in Gandia. Gandia is a historical, cultural, and touristic city located on the shoreline of eastern Spain, 65 km (40 mi) south of València (about 1 hour by train/car). València is the third most popular city in Spain after Barcelona and Madrid. The cost of living of València is significantly lower than that of Barcelona and Madrid (and this is even further the case for Gandia). Salva Ardid GenT Distinguished Research Group Leader Universitat Politècnica de València Paranimf 1 Edifici D, Despatx D-210 Gandia, 46730 Spain Web: https://sardid.github.io E-mail: sardid at upv dot es

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New book 'Changing Connectomes' (MIT Press)
by Marcus Kaiser Sept. 12, 2020

Sept. 12, 2020

Dear all, My book on Connectome organization and development has now been published. The book gives an up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. >From the synopsis: “This book provides an overview of network features of the brain, how these features emerge during evolution and brain development, and how alterations ranging from normal aging to developmental and neurodegenerative disorders affect brain networks. By including an introduction to concepts of network analysis, it will also be accessible to researchers who are new to the field of connectomics. Finally, through Matlab code examples, it will allow researchers to understand and extend the shown mechanisms of connectome development.” In case you're interested, the book is on sale on with Amazon and other booksellers: Amazon USA: https://t.co/ju0gtVANOQ Amazon UK: https://t.co/Oqqiu0tG4r Amazon Germany: https://t.co/JuvIfhSNfc Other booksellers: https://mitpress.mit.edu/books/changing-connectomes Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, School of Computing, Newcastle University, UK Guanci Visiting Professor Shanghai Jiao Tong University, Rui Jin Hospital, Functional Neurosurgery Unit, China Book: Changing Connectomes https://mitpress.mit.edu/books/changing-connectomes Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/

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Ph.D. Position: Theoretical models of adaptive signal processing and learning mechanisms in dendritic trees
by Tetzlaff, Christian Sept. 11, 2020

Sept. 11, 2020

Dear all, The Third Institute of Physics - Biophysics at the Georg-August-Universität Göttingen invites applications for a Ph.D. position German Salary Scale TV-L E13, 66% (of 39.8 weekly hours) for 3 years. The successful candidate will be part of an international research project aiming to extend the existing theories for adaptive signal processing and learning mechanisms in dendritic trees and possible technological applications thereof. The position should be filled by 1st of November or soon thereafter. This post is designed to foster young researchers and give the successful applicant the opportunity to pursue a doctoral degree. The position will be affiliated with the groups of Dr. Christian Tetzlaff and Prof. Florentin Wörgötter, who are investigating the emergence of complex behavior from the interplay of diverse neuronal and synaptic processes of neuronal networks (see, e.g., Tetzlaff et al., 2015, Scientific Reports; Li et al., 2016, PLoS One). The aim of the research project is to deepen our understanding of adaptive dendritic processing and uncover methods for employing these mechanisms in technological and machine learning applications. Suitable candidates should hold a Master degree in Physics or Computer Science preferably with some additional experiences in Computational Neuroscience and Machine Learning. We expect excellent mathematical and coding skills (e.g., Python, Matlab, C++) as well as skills in scientific communication (including proficiency in English). The candidate should be curious, highly motivated, self-organized, and show a keen interest to work within the connection between two lively research teams and to perform leading-edge research. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, copies of your certificates and contact information of at least two references until 4th of October to Dr. Christian Tetzlaff, e-mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>. Please see the job advertisement using the following link: https://www.uni-goettingen.de/de/305402.html?cid=15185. ---------------------------------------------------------------------- Dr. Christian Tetzlaff Junior Research Group Leader Bernstein Center for Computational Neuroscience Third Institute of Physics - Biophysics Georg-August University Friedrich-Hund Platz 1 37077 Göttingen Phone: +49 (0)551 39 26 932 E-Mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>

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PhD Position in Computational Neuroscience (Visual Attention Models)
by Fred Hamker Sept. 11, 2020

Sept. 11, 2020

The lab of Fred Hamker at Chemnitz University of Technology is offering a PhD Position in Computational Neuroscience (Visual Attention Models). The position is for three years, starting as soon as possible. The research position is funded by a DFG research grant and focuses on the modelling of RF dynamics during attention and eye movements. For the formal job search in german, please refer to: https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_1_EPu.php <https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_1_EPu.php> German language skills are not required, but the willingness to learn German would be useful. Applications should be sent by email (preferably in PDF format) to (fred.hamker(a)informatik.tu-chemnitz.de <mailto:fred.hamker@informatik.tu-chemnitz.de>) as soon as possible. Applications will be considered until the position is filled. Chemnitz is the third-largest city of the state of Saxony in Germany and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Our recent prior work in this field: Bergelt J, Hamker FH. (2019) Spatial updating of attention across eye movements: A neuro-computational approach. Journal of vision, 19:10. doi:10.1167/19.7.10 Ziesche A, Bergelt J, Deubel H, Hamker FH. (2017) Pre- and post-saccadic stimulus timing in Saccadic Suppression of Displacement – a computational model. Vision Research, 138:1-11. doi:10.1016/j.visres.2017.06.007 Hartmann TS, Zirnsak M, Marquis M, Hamker FH, Moore T. (2017) Two types of receptive field dynamics in area V4 at the time of eye movements? Frontiers in Systems Neuroscience, 11:13. doi:10.3389/fnsys.2017.00013 Bergelt J, Hamker FH. (2016) Suppression of displacement detection in the presence and absence of eye movements: A neuro-computational perspective. Biological Cybernetics, 110:81-89. doi:10.1007/s00422-015-0677-z Beuth F, Hamker FH. (2015) A mechanistic cortical microcircuit of attention for amplification, normalization and suppression. Vision Research, 116, 241-257. doi:10.1016/j.visres.2015.04.004

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Group Leader Position(s) in the Institute of Experimental Medicine, Budapest
by Balazs Ujfalussy Sept. 11, 2020

Sept. 11, 2020

Group Leader Position(s) in the Institute of Experimental Medicine The Institute of Experimental Medicine in Budapest, Hungary invites applications for independent scientific group leader positions. The Institute, an internationally renowned Center of Excellence in neuroscience, hosts scientific groups in diverse fields of neuroscience applying molecular, anatomical, physiological, pharmacological and behavioral approaches, and offers several state-of-the-art core facilities supporting research (see detailed information at http://koki.hu/english/introduction-106273) The successful applicant(s) is(are) expected to establish an internationally competitive research group that integrates into and strengthens the existing research profile of the Institute, and preferably offers interdisciplinary cooperation opportunities. The successful applicant(s) should have a Ph.D. in natural sciences and should be an international expert in experimental or computational neuroscience. Requirements are strong scientific track-record, demonstrating independent research leadership abilities, international experience, competence in supervising a scientific team and excellent cooperation skills. Applications should include (1) a CV, (2) a full publication list and 5 selected (most important) publications, (3) the summary of research achievements (max. 2 pages), (4) scientific concept and plans (2 pages) and (5) presentation of leadership and cooperation experience (half a page). The applications should be submitted by 21st September 2020 by email to: igazgato(a)koki.mta.hu Zoltan Nusser Director Institute of Experimental Medicine Prof. Zoltan Nusser Laboratory of Cellular Neurophysiology Institute of Experimental Medicine H-1083 Budapest, Szigony street 43. Phone: +36-1-210 9983 Fax: +36-1-210 9984 E-mail: nusser.zoltan(a)koki.mta.hu www.nusserlab.hu

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PhD studentship in Computational and Cognitive Neuroscience
by Shabnam Kadir Sept. 9, 2020

Sept. 9, 2020

*PhD in Computational & Cognitive Neuroscience, University of Hertfordshire, UK* An exciting full-time funded PhD opportunity has arisen at the University of Hertfordshire associated to a collaborative project with King’s College London and Brunel University London funded by the US Air Force. The project aims to build an explorative and predictive model of the brain that is sensitive to the transitions between sustained attention and mind-wandering states using an already collected simultaneously acquired EEG/fMRI dataset. Towards this goal, novel methods for characterizing, sequencing, and predicting neural dynamics at two complementary spatio-temporal resolution levels will be developed: level 1) electroencephalography (EEG) microstates, which are short quasi-stable topographies of brain electrical activity as measured at the scalp; and level 2) functional connectivity maps derived from the functional Magnetic Resonance Imaging (fMRI) data. *Requirements* We are seeking to appoint a graduate in Computer Science, Bioengineering, Physics, Mathematics, Neuroscience, or related fields, with an interest in cognitive neuroscience and neuroimaging, who has proven programming skills (e.g., Python, Matlab, C++). Knowledge of signal processing, time-series analysis, and machine learning would be an advantage. Previous experience of EEG and/or fMRI data analysis is highly desirable. The 3-year full-time PhD studentship includes a stipend of £15,285 per annum in addition to covering tuition fees. *Only EU and UK citizens are eligible to apply.* The start date of the PhD will be January 2021. The PhD will be supervised by *Dr Shabnam Kadir* (University of Hertfordshire), *Dr Elena Antonova* (Brunel University London), *Prof Robert Leech* (Institute of Psychiatry, Psychology and Neuroscience, King’s College London), and *Prof Chrystopher Nehaniv* (University of Hertfordshire, United Kingdom, and University of Waterloo, Ontario, Canada). Interested candidates are encouraged to make informal inquiries with *Dr Shabnam Kadir* (s.kadir2(a)herts.ac.uk) before making a formal application. Full details available here: http://biocomputation.herts.ac.uk/2020/08/25/phd-in-computational-cognitive… To apply, submit an application form (downloadable from https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-fo…) together with a cover letter, CV, and scanned copies of university transcripts and degree certificates (BSc, and if relevant MSc) via email to doctoralcollegeadmissions(a)herts.ac.uk, cc-ing Dr Kadir on s.kadir2(a)herts.ac.uk and Dr Antonova on elena.antonova(a)brunel.ac.uk *Closing Date for the applications: 28 September 2020.* -- ---------------------------------------------------------------------------------------------------------------- Dr. Shabnam Kadir Senior Lecturer School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. Tel. +44 1707 284641 ----------------------------------------------------------------------------------------------------------------

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PhD Opportunities for the Cognitive Anteater Robotics Laboratory at UC Irvine
by Jeffrey Krichmar Sept. 7, 2020

Sept. 7, 2020

Dear Colleagues, We are recruiting PhD students for the Fall of 2021 in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. Students will have the opportunity to work in the Cognitive Anteater Robotics Laboratory, which conducts research in assistive robotics, computational neuroscience, machine learning, neural networks, neuromorphic engineering and neurorobotics. Applicants should have a strong mathematical and computer programming background, as well as good communication skills. Current Federally funded projects include: · Artificial Intelligence for Novelty Detection · Cognitive Maps in Rats, Robots and Men · Lifelong Learning Machines · Sparse Predictive Coding for Efficient Visual Navigation More information about the lab, recent publications, software, and videos can be found at: · http://www.socsci.uci.edu/~jkrichma · https://www.youtube.com/user/cognitiveroboticsuci/videos Successful applicants will receive funding toward their Ph.D. for at least 5 years. Students interested in applying can contact me at: jkrichma(a)uci.edu Details about the graduate programs can be found at: · https://www.cogsci.uci.edu/graduate/index.php · https://www.ics.uci.edu/grad/admissions/index About UCI (www.uci.edu) In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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OCNS Software/Tools/Infrastructure Special Interest Group (SIG)
by Ankur Sinha Sept. 7, 2020

Sept. 7, 2020

Hello everyone, (Please excuse the cross posts.) At this year's annual CNS meeting[0], the Organization for Computational Neurosciences (OCNS) discussed the formation of OCNS Special Interest Groups (SIGs). The idea is for the OCNS membership to be able to self-organise, based on common interests, to work on various tasks/projects to develop themselves and computational neuroscience in general[1]. The OCNS Board will enable SIGs by providing them with the necessary resources. As you will see on the Neurostars topic, a number of OCNS members have expressed interest in different SIGs. In my capacity as the current OCNS webmaster, I'd like to focus on the software/tools/infrastructure that is critical for computational neuroscience research. From the topic on Neurostars[2]: "Computational neuroscience cannot exist without the tools that we all rely on. So, this SIG will focus on these. We’ll find and discuss tools, we will learn how to use them, we will test and review them, we will file bugs to inform the developers of issues, and finally we will try to learn how they work and try to get involved in their development---to ensure that these tools that we rely on remain in good shape by having communities looking after them. While we do all of this, we will improve our knowledge of transferable skills: anything involved in modern software development (which are not limited to only writing tools, but are extremely important/useful when developing models using these tools)." Please join the discussion on Neurostars if this interests you. We will start to mobilise in the next few weeks. You can learn more about OCNS membership here[3]. [0] https://www.cnsorg.org/cns-2020 [1] https://neurostars.org/t/cns-2020-ocns-members-meeting/15273/3?u=sanjayanku… [2] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [3] https://www.cnsorg.org/join-ocns -- Thanks, Regards, Ankur Sinha (He / Him / His) OCNS webmaster | https://www.cnsorg.org/ Research Fellow at the Silver Lab | http://silverlab.org/ Time zone: Europe/London

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Call for papers : Cognitive Computation - Springer Journal, Special Issue on Brain Simulation and Spiking Neural Networks
by Zhe Sun Sept. 6, 2020

Sept. 6, 2020

Dear all, Please find below the call for papers for the journal of Cognitive Computation, Special Issue on Brain Simulation and Spiking Neural Networks. The submission deadline is April 1, 2021. Call For Papers: Journal : Cognitive Computation Special Issue : Brain Simulation and Spiking Neural Networks https://www.springer.com/journal/12559/updates/18336610?fbclid=IwAR28sBPPk0… Scope and Motivation During the past 10 years, many experiments have been implemented with the aim of improving our understanding on the brain’s structure and function. Alongside, simulation neuroscience has become an important strategy to investigate how the brain works. The Human Connectome Project in the US started in 2009, and aimed to provide a big human brain mapping dataset on which many brain models have already been tested. In the Human Brain Project in the EU, a large-scale virtual rodent brain simulation is being built with the purpose of revealing various brain activities. In Japan, whole human-scale brain simulations on the Fugaku supercomputer are being established to investigate how neural networks develop their learning process. On the other hand, the foundation of cognitive computing and control mechanism can be revealed from the simulations of brain circuits and the neural dynamics. Moreover, these are also critical to improve current artificial intelligent systems and for building brain intelligence level algorithms. In this special issue, we invite researchers to present their state-of-the-art approaches, introduce recent advances and therefore show the potential of brain-simulation-related technologies. Guest Editors Jordi Solé-Casals (jordi.sole(a)uvic.cat) Cesar F. Caiafa (ccaiafa(a)fi.uba.ar) Zhe Sun (zhe.sun.vk(a)riken.jp) Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) Topics Topics include but are not limited to: • Brain Connectivity mapping and functional mapping • Data analysis methods for connectome data • Multi-scale neural system simulation • Neuromorphic hardware • High-performance computing system for large scale simulations • Neural system inspired spiking neural network • Neuro-robotics systems • Sensorimotor learning model Deadlines Submissions Deadline: April 1, 2021 First notification of acceptance: June 1, 2021 Submission of revised papers: August 1, 2021 Final notification to the authors: Oct 1, 2021 Submission of final/camera-ready papers: Nov 1, 2021 Publication of special issue: Nov 22, 2021 Submission Instruction: Prepare your paper in accordance with the Journal guidelines: www.springer.com/12559. Submit manuscripts at: http://www.editorialmanager.com/cogn/. Select “SI: Granular Computing and Three-Way Decisions for Cognitive Analytics” for the special issue under “Additional Information.” Your paper must contain significant and original work that has not been published nor submitted to any journals. All papers will be reviewed following standard reviewing procedures of the Journal. If you have questions, please send us an e-mail. Best wishes, Sun Zhe --------------------------------------------------------- Zhe Sun, PhD Research Scientist RIKEN Center for Advanced Photonics Image Processing Research Team RIKEN, Japan 国立研究開発法人　理化学研究所光量子工学研究センター　画像情報処理研究チーム研究員　孫　哲 E-mail： zhe.sun.vk(a)riken.jp sunzhe839(a)gmail.com Tel :　048-462-1111　(ext. 7828) ---------------------------------------------------------

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PhD position: Machine learning to record and enhance sleep and lucid dreaming
by Martin Dresler Sept. 3, 2020

Sept. 3, 2020

Hi, Arenar B.V. and the Donders Institute offer a joint PhD position combining data science/AI and wearable EEG technology with sleep/dream research. In this project, the wearable sleep EEG headband iBand+ will be further developed and applied in several experimental studies. First, we will develop automatic sleep stage detection algorithms using machine learning strategies. We will then implement closed-loop acoustic stimulation procedures to enhance sleep slow oscillations to improve deep sleep. We will further develop combined acoustic and visual stimulation procedures which will allow to enhance self-awareness during sleep (i.e. lucid dreaming) and subsequent mood in the morning. The validity and efficacy of these procedures will be tested experimentally in large longitudinal studies in naturalistic home-based settings. The successful candidate will be centrally involved in the development, will lead different research projects within this general framework; will be closely involved in daily supervision of MSc students assisting the project; and will participate in the vibrant Donders Graduate School. Job details • 4 years at Donders, extension to permanent position at Arenar possible • Deadline: 31 August 2019 • Starting date: October/November, but somewhat flexible • Salary: starting with € 40000 gross per year Candidate profile • MSc-level background in Data Science, ML, AI, computer sciences, or adjacent field; • Proficiency in Python, C, C++, statistics • Interest in sleep, lucid dreaming, meditation • The capacity to participate in a collaborative, interdisciplinary, international research environment; • Fluency in written and spoken English. Candidates who only partially meet this profile are nonetheless strongly encouraged to apply! Organization The PhD project is a collaboration between Arenar B.V. and the Donders Institute. Arenar B.V. is a Dutch technology start-up based in Nijmegen, founded in 2016 by a team of engineers/developers with a combined technical industry experience exceeding 40 years working at leading technology companies such as NXP, Philips, Texas Instruments. Work in Arenar’s small enthusiastic team offers plenty of flexibility, responsibility and lots of influence on the product development. In particular, Arenar develops the iBand+ ( http://www.ibandplus.com) and many more upcoming innovative products. The project is embedded in the infrastructure of the Donders Centre for Cognitive Neuroimaging, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. Sleep research is a vibrant and rapidly growing field at the Donders Institute, with several new research groups in human and animal sleep research. The project is further embedded in the Radboud University Medical Center. Radboud UMC strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. Application Please apply with a brief motivation letter explaining your interest and qualifications regarding the position, your prior research/work experience, a CV, and contact information of two professional references: https://www.radboudumc.nl/en/vacancies/70061-phd-candidate-machine-learning… For specific questions about this position, please contact martin.dresler(a)donders.ru.nl Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Call for submissions to frontier research topic
by alekhya mandali Sept. 3, 2020

Sept. 3, 2020

Dear all We invite contributions to the Frontier's Research topic - ' Exploring Psychopathology: Utility, Action-Selection and Beyond' ABSTRACT ---------------------------------------------------------------------------------------------------------- A huge body of work on understanding each of many psychiatric conditions in the context of behaviors, neural correlates, and intervention is available and still on-going. One area of research that is rapidly gaining ground is that of impaired decision making in psychiatric disorders such as anxiety, OCD, schizophrenia, etc. The role of more abstract constructs such as emotion, effort, and motivation in utility or value computation and action selection or policymaking is still quite nascent. This Research Topic attempts to bring together research projects that address this need. We welcome theoretical and experimental studies that apply ‘reward or utility maximization and action-selection’ framework to psychiatric conditions such as impulsive (e.g. gambling, addiction), mood and anxiety, and compulsive disorders. Novel approaches that expand this framework and incorporate constructs such as emotion, effort, and motivation are of special focus. The call is open but not restricted to: ● Novel experimental studies/paradigms that investigate effort, motivation, mood, and anxiety in a reward-utility framework in health and disease such as OCD, depression, anxiety, and mood disorders. ● Computational models that utilize either data-driven, simulation-based approaches, and reinforcement learning models where the abstract factors such as effort, motivation, mood, and anxiety are represented in terms of value or utility. ● Research that focuses on studying the causal relationship between decision making and effort, motivation, mood, and anxiety ● Translation research such as pharmacological interventions where insights gained could potentially help design novel treatment/ diagnostic methods. SUBMISSION DATES ---------------------------------------------------------------------------------------------------------- Abstract deadline: 30th September 2020 Manuscript deadline: 01 Jan 2021 DETAILS ---------------------------------------------------------------------------------------------------------- https://www.frontiersin.org/research-topics/15163/exploring-psychopathology… -- https://sites.google.com/view/alekhyamandali/home

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Tobii Pro & ePrime NOW INCLUDED! | Call for Research Projects | Bitbrain
by Eduardo López-Larraz Sept. 3, 2020

Sept. 3, 2020

Dear all, >From Bitbrain we pleased to announce that *Tobii Pro* and *Psychology Software Tools* are joining our *Call for Research Projects* to provide additional research solutions. In addition to the hardware and software provided by Bitbrain, Psychology Software Tools and Tobii Pro have kindly offered to complete our offering with their solutions. Their contribution will be as follows: - *Psychology Software Tools*: E-Prime Licenses for up to two projects that need comprehensive stimulus presentation. - *Tobii Pro:* Up to two projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking data. Accordingly, the awards comprise up to *150K€ **in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions* (more info below), for research projects in the areas of *human behavior research *and *brain-computer interfaces*. The deadline for submissions is *September 21st, 2020.* See full information here <https://bit.ly/2QKWslU> [image: sponsor-brands-call2] Call for Research Projects *Aim of the Call* This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been postponed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. *The Awards* *This initiative awards projects with up 150K€ in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions (see below or in our website).* Applicants should list all the equipment necessary to successfully carry out their research project proposal, selecting from these options, and irrespective of the cost: - *Bitbrain equipment:* Systems specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies (GSR, BVP, ExG, etc), as well as Bitbrain's software solutions for synchronized multimodal data acquisition and analysis. The equipment will belong to the awarded institutions once the project is completed, but they are free to use it for other types of research. - *Psychology Software Tools*: E-Prime Licenses for projects that need stimulus presentation. - *Tobii Pro:* Up to two of the winning projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking related parts of the project. *Call topics* 1. *Topic 1: Human Behavior Research:* We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. 2. *Topic 2: Brain-Computer Interfaces (BCI):* We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc *Jury* - Alan Kingstone, Ph.D., Professor, Department of Psychology, University of British Columbia. Canada. - Ander Ramos, Ph.D., Head of the Neurorehabilitation Lab. University of Tübingen. Germany. - Dima Amso, Ph.D., Professor, Department of Psychology at Columbia University. USA. - Gernot Müller-Putz, Ph.D., Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria. - Marco Congedo, Ph.D., Charge de Research (CNRS), France. - Tad Brunye, Ph.D., Visiting Associate Professor, Department of Psychology, Tufts University; Senior Research Psychologist, Army Natick Soldier Research, Development, and Engineering Center, USA. - Tiago Falk, Ph.D., Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada. *Important Dates* - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January See full information here <https://bit.ly/2QKWslU> The Bitbrain Team

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postdoc position in mouse electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
by Scholvinck, Marieke Sept. 2, 2020

Sept. 2, 2020

We are hiring! We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany. THE LAB The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour - and how this simultaneously encodes multiple ongoing cognitive processes like learning, attention, and perceptual decision making. What's more, we compare this across species: We conduct chronic electrophysiological recordings in the visual cortex of macaques and mice while they perform the same naturalistic foraging task in a virtual environment. We are no fans of cross-trial averaging - if the brain only gets one shot at making sense of its activity, so should we! The lab is jointly headed by Marieke Schölvinck and Martha Havenith, and funded by the Max Planck Society. It is a highly collaborative environment - postdocs and PhD students focus on either mouse or monkey, but work together intensely to constantly align experiments across species. YOU We are looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. If you hold (or are about to hold) a Ph.D. in Systems Neuroscience, and are eager to decipher the neuronal basis of naturalistic cognitive processing in an interdisciplinary lab, we would love to hear from you! Useful skills: - Experience with electrophysiological recordings in awake animals - Programming skills (Matlab/Python) - Technical skills to build an electrophysiology set-up - Experience with behavioural training HOW TO APPLY If you are interested, please send an email to Marieke (marieke.scholvinck(a)esi-frankfurt.de<mailto:marieke.scholvinck@esi-frankfurt.de>) and Martha (martha.havenith(a)esi-frankfurt.de<mailto:martha.havenith@esi-frankfurt.de>) before September 30, 2020. In your email, please explain your background, what you expect from your postdoc, and why you want to join us. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke

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Biological Cybernetics- Articles by grad students and postdocs only
by Fellous, Jean-Marc - (fellous) Sept. 1, 2020

Sept. 1, 2020

Dear members of the community, Biological Cybernetics<https://www.springer.com/journal/422> is launching 3 new types of articles. These manuscripts can only be co-authored by Junior Scientists (defined as graduate students or postdoctoral fellows) and will be reviewed by one regular reviewer and one or more Junior Scientists. The scope of the journal can be found here<https://www.springer.com/journal/422/aims-and-scope> . - Mini review or tutorial: 3000 words, 2-3 Figures. A didactic but comprehensive overview of a topic or technique of interest to the Biological Cybernetics community. Authors are encouraged to also give their own perspective on the matter where appropriate in a separate clearly marked subsection. Authors are encouraged to contact the co-editor in chief to discuss appropriateness/fit of the manuscript. - Journal Club: 1200 words, 1 Figure. A short and focused account of a recent (less than one year old) publication in Biological Cybernetics or elsewhere. The authors should not belong to the same institution as any of the co-authors on the chosen publication. The manuscript should go beyond a simple summary of the original publication and point to aspects of the work of specific relevance to the Biological Cybernetics readership. - Short Communication: 2000 words, 2-3 Figures. Authors are encouraged to submit a short account of results that would not be sufficient for a full publication, but which are deemed worthy of communication to the scientific community. These could be the outcome of a 'side' project, a 'follow up' study, an interesting 'condition'. Though restricted in scope, the results are expected to be of the same quality (e.g. statistical power, proper controls for experimental submissions, mathematical rigor and clarity of exposition for theoretical submissions) as those found in a regular research paper and will be evaluated as such. Pilot experiments or preliminary data are not suitable. At the time of submission, a short note (email OK) from the advisor to the co-editor in chief is required indicating that s/he has been informed of the content/scope of the manuscript. For questions, please contact Jean-Marc Fellous (fellous at arizona.edu) Co-Editor in Chief. Jean-Marc Fellous Professor Departments of Psychology and Biomedical Engineering University of Arizona On behalf of Benjamin Lindner (Editor in Chief), Peter Thomas and Paul Tiesinga (Co-Editors in Chief) Biological Cybernetics: https://www.springer.com/journal/422 Biological Cybernetics Aims and Scope: https://www.springer.com/journal/422/aims-and-scope

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Post-doctoral positions
by sio Sept. 1, 2020

Sept. 1, 2020

Open Postdoctoral positions The Vision and Natural Computation group at the Vision Institute, Paris, France, (http://www.institut-vision.org/en/ <http://www.institut-vision.org/en/>) seeks experienced and outstanding applicants for several post-doctoral research positions in the field of neuromorphic engineering in any related field including machine learning, event-based computer vision, robotics and spiking neural networks. The applicant will join the Vision and Natural Computation group let by Profs R Benosman and S.H Ieng. The group is a pioneer of neuromorphic event based computation and among the leading teams of the international neuromorphic engineering community. We are interested in candidates willing to work on any aspects of event based computation, preference will be given to those interested in developing any aspect related to new forms of machine learning inspired by neurosciences and going beyond the current status-quo of conventional machine learning. The position will open in November 2020 and can be flexibly adjusted as needed. Interested applicants should submit a detailed curriculum vitae with brief paragraphs of research interests, career goals and why you feel you are a good fit for the lab and perhaps a reference person to contact. Information should be sent to ryad.benosman(a)upmc.fr <mailto:ryad.benosman@upmc.fr> and sio-hoi.ieng(a)upmc.fr <mailto:sio-hoi.ieng@upmc.fr>, please also mention in the email the earliest date at which you could join.

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Open PhD Positions in Dendritic Processing for Novel Computing Concepts
by Robert Legenstein Sept. 1, 2020

Sept. 1, 2020

The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the area Deep Learning and Computational Neuroscience. A background in Deep Learning, Computataional Neuroscience, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will investigate models of computation and learning in neuronal networks with nonlinear dendritic processing and develop learning algorithms for optical processing hardware. She/he will be embedded in the interdisciplinary consortium of the EU-FET-open project ADOPD (Adaptive Optical Dendrites). See https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/#c204996 for a brief project description. Please send your application including a CV, any prior thesis and/or work, and trascript of records by 15. September 2020 to robert.legenstein(a)igi.tugraz.at Dr. Robert Legenstein Institute Head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- -- Dr. Robert Legenstein Associate Professor Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic Sept. 1, 2020

Sept. 1, 2020

Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.530, http://www.mdpi.com/journal/entropy) The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… The submission deadline is 30 September 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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NeuTouch Summer School
by Miguel Casal Santiago Aug. 31, 2020

Aug. 31, 2020

The Horizon 2020 project Neutouch is glad to announce that the first summer school of the project about “Touch for prosthetics” will be held online the 21 & 28 September and 5 & 12 October 2020. The school will have talks from cutting-edge professors and students in the field of touch, including topics such as neuromorphic engineering, brain-computer interfaces, computational neuroscience and machine learning, among others. We invite you to take a look at the program together with a small description of the talks in this link <https://www.neutouch.eu/events/neuschool20>, where you can also subscribe for free. You can contact neutouchboard(a)gmail.com <mailto:neutouchboard@gmail.com> for doubts and requests Neutouch Editorial Board

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Postdoc positions in Aarhus University, Denmark
by Diego Vidaurre Aug. 30, 2020

Aug. 30, 2020

Dear all, Funded by an ERC grant, I am opening two postdoc positions in my lab in Aarhus University in collaboration with Oxford University, to develop new methods on machine learning and Bayesian time series modelling, with application to specific problems in computational neuroscience. If someone is interested, or know of someone interested, please get in contact. More details on the topics, salary, conditions, requirements, etc. here: https://health.au.dk/en/about-health/vacant-positions/job/postdoc-in-integr… Thanks Diego Vidaurre

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Postdoc in computational cognitive neuroscience of speech processing at the University of Texas at Austin (USA)
by Hamilton, Liberty Aug. 28, 2020

Aug. 28, 2020

The Hamilton Lab at The University of Texas at Austin seeks to hire a full-time postdoctoral fellow to study brain processing of natural speech in the presence of noise. Our approaches include computational methods (neural networks, linear/nonlinear regression models, encoding/decoding), electrophysiology (scalp EEG and intracranial EEG), and fMRI. A postdoc is sought for a one-year contract to begin a collaborative project with the Huth Lab on brain processing of natural sounds using scalp EEG and fMRI. Lab websites: https://slhs.utexas.edu/research/hamilton-lab and https://cs.utexas.edu/~huth/ Start date: Open Full time, benefits eligible, one-year contract with potential for extension based on performance/funding. Qualifications: The ideal candidate will have a strong quantitative background (time series analysis, regression models) and ability to code in python or MATLAB (though python will be used for most projects). All candidates must hold a PhD by the time of appointment. Preferred Qualifications: Previous experience in scalp EEG and/or fMRI strongly preferred, though related work in other electrophysiology methods will also be considered. A PhD in neuroscience, computer science, cognitive science, psychology, bioengineering, communication disorders, or other related fields is suggested. The Hamilton Lab is located in the Department of Speech, Language, and Hearing Sciences and is jointly affiliated with the Department of Neurology at Dell Medical School. The Huth Lab is located in the Departments of Neuroscience and Computer Science. The Hamilton and Huth labs are committed to fostering a supportive and diverse environment. We are strongly committed to mentoring our students and postdoctoral scholars to reach their goals. Our groups work as a multidisciplinary team, where each member’s contribution is valued. Our lab members come from a wide variety of fields including speech/language/hearing science, neuroscience, linguistics, music, physics, computer science, and psychology. The candidate is expected to work collaboratively with graduate students and research assistants in these fields. Apply at: https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdocto…

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Professor position in Goettingen, Germany
by Rizzoli, Silvio Aug. 26, 2020

Aug. 26, 2020

Dear colleagues, I hope this email finds you well. My institute at the University Medical Center Goettingen, Germany, the Institute for Neuro- and Sensory Physiology, currently has an announcement for a W2 professorship position in the field of computational modeling of synaptic physiology. Our institute produces substantial quantitative data on synapses, from fluorescence imaging to biochemistry, mass spectrometry and electron microscopy (see for example Wilhelm et al., Science, 2014). We are looking for an investigator with substantial expertise in computational aspects, who would benefit from these data, and would be able to use them for important studies. This professorship will be integrated in an excellent neuroscience campus, and will benefit strongly from our collaborative research center CRC/SFB 1286, dedicated to Quantitative Synaptology (composed of more than 20 collaborating laboratories, from many excellent institutions). Our announcement can be found at: <https://jobs.zeit.de/jobs/universitaetsprofessur-w2-modellierung-synaptisch…>https://www.academics.com/jobs/university-professorship-w2-modeling-synapti… It would be great if you could also send this announcement to colleagues in your department, who may be interested in applying for this position. Best wishes, and thank you in advance, Silvio Rizzoli Prof. Dr. Silvio O. Rizzoli UNIVERSITÄTSMEDIZIN GÖTTINGEN GEORG-AUGUST-UNIVERSITÄT Direktor des Instituts für Neuro- und Sinnesphysiologie Zentrum Physiologie und Pathophysiologie Humboldtallee 23, 37073 Göttingen Telefon: 0551-39-5911 FAX: 0551-39–66031 E-Mail: srizzol(a)gwdg.de Sprecher des Centers Biostructural Imaging of Neurodegeneration (BIN) von-Siebold-Straße 3a, 37075 Göttingen Sprecher des Sonderforschungsbereichs 1286 Quantitative Synaptologie (Collaborative Research Center 1286 Quantitative Synaptology)

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Professorship in computational modeling of synaptic physiology at the University Medical Center Göttingen, Germany
by Erik De Schutter Aug. 26, 2020

Aug. 26, 2020

The University Medical Center Göttingen, Germany has announced a W2 professorship position in the field of computational modeling of synaptic physiology. The institute produces substantial quantitative data on synapses, from fluorescence imaging to biochemistry, mass spectrometry and electron microscopy. They are looking for an investigator with substantial expertise in computational aspects, who would benefit from these data, and would be able to use them for important studies. This professorship will be integrated in an excellent neuroscience campus, and will benefit strongly from our collaborative research center CRC/SFB 1286, dedicated to Quantitative Synaptology (composed of more than 20 collaborating laboratories, from many excellent institutions). The announcement can be found at: https://www.academics.com/jobs/university-professorship-w2-modeling-synapti…

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Postdoc/PhD/RA positions at ÖAW Acoustics Research Institute, Vienna
by Robert Baumgartner Aug. 19, 2020

Aug. 19, 2020

We are currently looking for enthusiastic researchers at all levels to join an exciting interdisciplinary research consortium addressing „Dynamic Auditory Predictions in Human and Non-human Primates (Dynamates)". It rests on a strong collaboration between cognitive neuroscience, cognitive biology, and computational modeling – for more information, visit our Dynamates website <https://www.kfs.oeaw.ac.at/dynamates>. The following positions are immediately available under my supervision at the Acoustics Research Institute of the Austrian Academy of Sciences: Postdoc <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF083PD220.pdf> focussing on computational models explaining the causal relationship between neural activity (EEG) and perception/behaviour in humans PhD Student <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF082DOC220.pdf> focussing on computational models for comparative behaviour Research Assistant <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF081STUD220.pdf> helping with (mainly EEG) data collection They are open until appropriate candidates are found. The 1st round of evaluation will start on Sept 1, 2020. Feel free to distribute! Best, Robert — Robert Baumgartner, PhD YIRG Leader | Research Associate Acoustics Research Institute Austrian Academy of Sciences Wohllebengasse 12-14, 1040 Vienna, Austria +43 1 51581-2527 Robert.Baumgartner(a)oeaw.ac.at https://www.kfs.oeaw.ac.at/baumgartner Like us on Facebook <https://www.facebook.com/SCHALLFORSCHUNG.OEAW/> Follow us on Twitter/oeaw <https://twitter.com/oeaw?lang=en> Visit us on Youtube <https://www.youtube.com/channel/UCY3rUdfN-VCjvfUWojWkayQ>

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Phd/Postdoc position for research on interpretable Deep Learning and brain modelling
by Wolfgang Maass Aug. 18, 2020

Aug. 18, 2020

We are looking for a highly talented and motivated Phd student or Postdoc to complement our team in the Faculty for Computer Science and Biomedical Engineering of Graz University of Technology in Austria. The researcher will work on advancing Deep Learning and methods for understanding its outcomes ("interpretable AI") for applications to large data-based cortical microcircuit models, using state-of-the-art supercomputing facilities. The goals are to elucidate the organization of computing and learning in neural networks of the brain, and to develop on this basis spike-based AI methods. The research will be based on recently developed algorithms and TensorFlow software for spiking neural networks, as published for example in G. Bellec, D. Salaj, A. Subramoney, R. Legenstein, and W. Maass. Long short-term memory and learning-to-learn in networks of spiking neurons. 32nd Conference on Neural Information Processing Systems (NIPS 2018), https://igi-web.tugraz.at/PDF/243.pdf G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. Legenstein, and W. Maass. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications, 2020. .https://www.nature.com/articles/s41467-020-17236-y.pdf F. Scherr, C. Stoeckl, and W. Maass. One-shot learning with spiking neural networks. bioRxiv, 2020. https://igi-web.tugraz.at/PDF/256.pdf This is a fully funded research position in the Human Brain Project of the EU, which offers an exciting international interdisciplinary research environment. Requirements: --strong mathematical background and analytical skills --deep interest in understanding the function of neural networks in the brain --excellent programming skills --very good knowledge in Machine Learning Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to charlotte.rumpf(a)tugraz.at -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html

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Neurodata Without Borders (NWB) User Days Workshop - September 21-23
by Ryan Ly Aug. 17, 2020

Aug. 17, 2020

Neurodata Without Borders (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, behavioral data, and stimulus data. The NWB Team will be hosting the 9th NWB User Days Workshop remotely on September 21-23. The workshop schedule will be centered on Central European Time (UTC+2) and will focus primarily on user training, including lessons for complete beginners to NWB. Come learn how to get your data into the NWB data standard and use state-of-the-art data analysis, visualization, and management tools with NWB, e.g., Brainstorm, CaImAn, calciumImagingAnalysis, DANDI, DataJoint, MIES, NWB Explorer, NWB Widgets, SpikeInterface, and suite2p. Event page: https://neurodatawithoutborders.github.io/nwb_hackathons/HCK09_2020_Remote/ Register here: https://bit.ly/2PHbE34 (it's free) Learn more about NWB at our website: https://www.nwb.org/ Best, The NWB Team -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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