- Comp-neuro - lists.cnsorg.org

4-year postdoc in cognitive science
by Dominik Endres March 21, 2022

March 21, 2022

The research group for Theoretical Cognitive Science of Prof. Dr. Dominik Endres at the Department of Psychology, Philipps Universität Marburg, Germany, is currently accepting applications for a *** Postdoctoral Researcher **** We expect the successful applicant to independently develop, implement and execute virtual reality experiments for the validation of (deep) learning and Bayesian models of human behavior and perception and/or to develop, implement and analyze these models. Contributions to scientific publications and regular and active participation in the CRC’s scientific program are required. More details about the project's research directions can be found in these publications: https://dl.acm.org/doi/10.1145/3355401 https://jov.arvojournals.org/article.aspx?articleid=2678770 https://ieeexplore.ieee.org/document/7829376 https://psycnet.apa.org/doi/10.1037/rev0000330 The position is offered for a period of 4 years, if no former times of qualification need to be considered. The starting date is as soon as possible. The position is full-time with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). The position is a part of the project C6 (sensorimotor primitives, collaboratively supervised by Prof. D. Endres, Prof. A. Schütz and Prof. A. Schubö) of the DFG-funded *** Collaborative Research Center CRC/TRR 135 “Cardinal Mechanisms of Perception” *** More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Formal requirements are a qualified degree (diploma, master or equivalent) in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable), a completed or nearly completed PhD as well as demonstrable programming experience in a high-level language, e.g. Python. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modelling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. The full job advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… Please send your application (including a project-specific motivation letter in English, relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0010-wmz-2022 only as a single PDF file to dominik.endres(a)uni-marburg.de, before 15.04.2022. Feel free to contact Prof. Dr. Dominik Endres, mailto:dominik.endres@uni-marburg.de for more information. -- Prof. Dr. Dominik Endres Theoretische Kognitionswissenschaft - Theoretical Cognitive Science FB 04 Psychologie Tel: 06421-28 23818

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PhD funded opportunity
by Eirini Mavritsaki March 18, 2022

March 18, 2022

PhD funded opportunity (computational cognitive psychology) https://www.bcu.ac.uk/social-sciences/research/phd_opportunities Title: Covid-19 effects on Cognitive Health School: School of Social Sciences The COVID-19 pandemic has affected everyday life and cognitive health including sustained attention and depression (Hampshire et al., 2021; Zhou et al., 2020 (a)(b)). However, little is known about whether depression is due to COVID-19 infection, or an effect of cognitive decline caused by the COVID-19, as depression is also linked to changes in attention and memory (Fossati, 2018; Dillon & Pizzagalli, 2018). Therefore, it is imperative to understand the interaction between cognition and depression, an area of research that is poorly understood in recent work related to COVID-19 and how this is progressing over time. Here, we propose to investigate the link between COVID-19 and cognitive health - depression, cognitive flexibility, and attention. We are using an interdisciplinary approach that combines online behavioural data with computational modelling using a computational approach developed by our team. Contact information: Name: Prof. Eirini Mavritsaki E-mail: eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> Tel: 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol , SFHEA, SEDA Recognised Supervisor Professor of Cognitive Psychology Director of Research for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Postdoctoral position in the cognitive neuroscience of aging at UC Riverside and Irvine
by Aaron Seitz March 18, 2022

March 18, 2022

A postdoctoral position in the cognitive neuroscience of aging is available at the University of California, Riverside (UCR) to work with a research team including Professors Xiaoping Hu, Aaron Seitz, Ilana Bennett, and Weiwei Zhang at UCR, and in collaboration with Megan Peters at UC Irvine. This opportunity will involve working on a NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult population. The postdoctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervising graduate students and undergraduate research assistants, and disseminating results at conferences and in research publications. https://aprecruit.ucr.edu/JPF01540 Successful candidates should have a strong background in fMRI data collection and analysis, advanced computational and statistical competencies, management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and knowledge of the others): cognitive aging, brain aging, psychophysics, perception or memory processes, eye-tracking, metacognition, and the role of the locus coeruleus in cognition. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be either in the UCR Psychology or Bioengineering Departments, depending upon candidate interest and primary expertise. Working with our diverse research team will provide a unique interdisciplinary research and mentoring experience. Research will be conducted at the UCR Center for Advanced Neuroimaging, which features a 3T Prisma fMRI system with state of the art eye-tracking and psychophysical systems. Applications must include a cover letter, curriculum vitae, 1-2 sample publications, statement of research interests, statement of past and/or planned future contributions to advancing diversity and inclusive excellence, and the names of three to five references with phone numbers and emails. Review of applications will begin on April 7, 2022 and may continue until the position is filled. Applications received by April 7, 2022 will receive full consideration. UCR is a world-class research university with an exceptionally diverse student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification. 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, age, disability, protected veteran status, or any other characteristic protected by law. Best, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu<mailto:aseitz@ucr.edu> Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu<http://braingamecenter.ucr.edu/> **************************************************

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PhD studentships at University of Hertfordshire, UK
by Nada Yousif March 17, 2022

March 17, 2022

Applications are invited by the Centre for Future Societies Research for three fully funded PhD studentships at the University of Hertfordshire. These research studentships will be part of the University Alliance (UA) Doctoral Training Alliance in Future Societies, and include the proposed project: "Low-cost, accessible neurostimulation, experiments and simulations" to be supervised by Dr Nada Yousif and Prof Volker Steuber. The PhD project will combine experimental cerebellar stimulation and computational modelling of the cerebellum to show the feasibility of low-cost, accessible non-invasive neurostimulation for treating movement disorders. Please see the Centre for Future Societies Research web page where project details are held on https://www.herts.ac.uk/research/centres/centre-for-future-societies-resear… and the external advert on https://www.jobs.ac.uk/job/CND466/three-fully-funded-phd-research-studentsh…. Closing date for applications: 22nd April 2022. Interviews will start soon after the closing date. Studentship start date: September 2022. For informal enquiries contact Dr Nada Yousif (n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk>) or Prof Volker Steuber (v.steuber(a)herts.ac.uk<mailto:v.steuber@herts.ac.uk>, biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk/>). Dr Nada Yousif School of Physics, Engineering and Computer Science University of Hertfordshire +44 (0)1707 284129 n.yousif(a)herts.ac.uk<mailto:n.yousif@herts.ac.uk> go.herts.ac.uk/nada_yousif https://sites.google.com/view/nada-yousif/home

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EBRAINS Brain Simulation School 2022, 30 May – 3 June 2022, REGISTRATION DEADLINE: 30 April 2022
by Luca Leonardo Bologna March 17, 2022

March 17, 2022

We are glad to announce the *EBRAINS Brain Simulation School 2022* to be held in Palermo, Italy, from 30 May to 3 June, 2022. The EBRAINS Brain Simulation School 2022 aims at introducing the participants to the latest achievements and innovations of the *digital infrastructure for brain research EBRAINS* (ebrains.eu), created by the Human Brain Project. The School will offer tutorials on EBRAINS Tools and eServices. The students will be presented with the overview of the EBRAINS research platform, discussed by the leaders of the Human Brain Project, and gain practical skills in using EBRAINS resources to implement cellular and network level computational models, to use *EBRAINS Computing Services* configure and run simulations, and to visualise/analyse the results. Through tutorials, interactive sessions and hands-on activities, attendees will learn how to interact with EBRAINS to *carry out their own research*, to set up and manage a data-driven collaborative project, or to use the EBRAINS platform to interact with internal and external databases. The *target audience* of this school are advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an *introduction to the neuroinformatics and computational neuroscience tools available in the EBRAINS Infrastructure*. Registrations close on *30 April, 2022*. The event is limited to *40 participants*. Registration and Program are available on the School website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ The School Scientific Chairs & Organizers Michele Migliore, Aušra Saudargienė, Francesca Spataro, Alessia Bonafede

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Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience
by Jan Drugowitsch March 14, 2022

March 14, 2022

Location: Harvard Medical School, Boston, MA Start: summer 2022 or after We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School (https://drugowitschlab.hms.harvard.edu/) The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. We have strong ties to, and frequently collaborate with, experimental labs. The postdoctoral fellow will develop state-of-the-art theories of neural computations using machine learning, neural networks, dynamical systems analysis, and reinforcement learning, and will analyze the neural data collected by experimental collaborators. The position starts in or after June 2022, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale. Expected background: Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable. Application: Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to jan_drugowitsch(a)hms.harvard.edu. If they are considered suitable candidates, they will be requested to additionally organize two letters of reference. The position is open until filled. Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place in Portugal, March 17-22, for questions and further information about the opening. Harvard is an equal opportunity employer 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 veteran status, or any other characteristic protected by law. Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School https://drugowitschlab.hms.harvard.edu/

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NeuroBridges 2022
by Ahmed El Hady March 13, 2022

March 13, 2022

*NeuroBridges 2022* *A Mediterranean, Middle Eastern Summer School in Neuroscience* *Application opens March 15, 2022* *Website: **___http://decision-making-lab.com/NeuroBridges/neurobridges2022.html_* ** *NeuroBridges2022* is a summer school which will take place between September 4 and September 15, 2022 in Le Centre de Conferences Internationales de Cluny, France (CCIC) <https://streaklinks.com/A90svF509Dfx1gAIfQKAz1pX/https%3A%2F%2Fcollegecluny…>. The school will provide an overview of theoretical and experimental frameworks used to study a variety of *decision making* processes. It will cover a different model systems from rodents to humans and a plethora of decision making mechanisms. Another objective of Neurobridges is to bring together *Mediterranean and Middle Eastern scientists*, in order to promote scientific cooperation between young researchers from these countries. The organizers of NeuroBridges are convinced that such scientific collaborations can lead to personal relations, which eventually may alleviate the political distress in the Middle East. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. Applicants should have some background in related fields in neuroscience or cognitive psychology. All costs of registration and accommodation will be covered by the organizers. For more information and application, visit our website:_http://decision-making-lab.com/NeuroBridges/neurobridges2022.html_ *NeuroBridges2022 Faculty:* Carlos Brody (Princeton), Ahmed El Hady (Princeton/Konstanz), David Hansel (CNRS), Ifat Levy (Yale), Yonatan Loewenstein (Hebrew U.), Najib Majaj (NYU), Mike Shadlen (Columbia U.), Eyal Winter (Hebrew U.) and Yoram Yovell (Hadassah Hebrew U. Medical Center) *NeuroBridges* is co-organized by Ahmed El Hady (Princeton Neuroscience Institute, USA), Yonatan Loewenstein (Hebrew University of Jerusalem, Israel) and David Hansel (CNRS, Paris, France). *NeuroBridges2022* is supported by the Simons Foundation (USA) and CNRS (France) and is in partnership with WWTNS (wwtns.online). *Contact us:*_neurobridges2022@gmail.com <mailto:neurobridges2022@gmail.com>_

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job: machine learning research scientist at NIMH
by Francisco Pereira March 12, 2022

March 12, 2022

## HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ## About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort, from helping discover or develop theories to generating actionable results. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and recent publications at https://cmn.nimh.nih.gov/mlt ## About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Required experience: - deep learning, using PyTorch or Tensorflow Desirable experience: - reinforcement learning - Bayesian statistical modelling - other types of modelling of human/animal learning and decision-making - neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG) - other types of neural data (e.g. neural recording, calcium imaging) all in the context of substantial research projects, ideally having led to submitted or published articles. Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. Backgrounds of team members include computer science, statistics, mathematics, and biomedical engineering. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests or community impact. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. We especially encourage applications from members of underrepresented groups in the machine learning research community. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

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SCGB Virtual Postdoc/Student Meeting: Monday, March 14 by James Roach
by Laura Long March 11, 2022

March 11, 2022

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a Global virtual series to connect systems and computational neuroscientists across the world. We would love to see you at our next Global meeting! Please see event details and the Zoom link below. SCGB Global Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277… Monday, March 14th, 1pm Eastern Time https://simonsfoundation.zoom.us/j/97652465539?pwd=YkdYaTBGOGU0c1NyUzV1d1Jr… Passcode: 188122 *James Roach*Postdoctoral Researcher, Churchland Laboratory University of California, Los Angeles *Two roles for choice selective inhibition in decision-making circuits* During perceptual decision-making, the firing rates of cortical neurons reflect upcoming choices. Recent work showed that excitatory and inhibitory neurons are equally selective for choice. However, the functional consequences of inhibitory choice selectivity in decision-making circuits are unknown. We developed a circuit model of decision-making which accounts for the specificity of inputs to and outputs from inhibitory neurons. We found that selective inhibition expands the space of circuits supporting decision-making, allowing for weaker or stronger recurrent excitation when connected in a competitive or feedback motif. The specificity of inhibitory outputs sets the trade-off between speed and accuracy of decisions by altering the attractor dynamics in the circuit. Recurrent neural networks trained to make decisions display the same dependence on inhibitory specificity and the strength of recurrent excitation. Our results reveal two concurrent roles for selective inhibition in decision-making circuits: stabilizing strongly connected excitatory populations and maximizing competition between oppositely selective populations. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-277… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

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Multiple Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang March 11, 2022

March 11, 2022

We are looking for multiple highly motivated postdoctoral scholars to work on NSF, DoD, and NIH funded projects. Projects include but are not limited to using human single-neuron recordings to study the neural circuits underlying social attention and using fMRI to study face perception in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. The Wang Neuroscience Lab is housed in the Mallinckrodt Institute of Radiology (MIR) at the Washington University School of Medicine (WUSM) in St Louis. WUSM is a world class research intensive academic health center that is consistently ranked among the nation’s research-oriented medical schools. Additionally, it is nationally known for its attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. St. Louis is consistently rated a Forbes most affordable city with vibrant music, food and park scene, and has one of the fastest growing start-up communities with impressive accelerator and incubator services available through the Biogenerator, Cambridge Innovation Center, and Cortex Innovation District. Shuo Wang, Ph.D. Assistant Professor Washington University in St. Louis https://sites.wustl.edu/wanglab/

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Applications open for BRAINS: please forward!
by Adrienne L Fairhall March 11, 2022

March 11, 2022

Dear colleagues, Applications are now open for an NINDS funded, national professional development program dedicated to advancing diversity and inclusion in neuroscience (*BRAINS: Broadening the Representation of Academic Investigators in NeuroScience*. BRAINS uses a unique cohort-based professional development approach to explicitly address the inclusion, retention, and advancement of early career (post Ph.D. and pre-tenure) neuroscientists from historically underrepresented and marginalized groups. The BRAINS experience positively impacts participants’ career trajectories, especially in academic neuroscience, and creates perpetually empowering communities. For more information about our program, visit the BRAINS website [https://advance.washington.edu/brains/] To apply, go to: https://advance.washington.edu/brains/program/application. Applications will be accepted until April 25, 2022. If you have questions, feel free to contact Sheri Mizumori (mizumori(a)uw.edu ).

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Neuro tool projects with INCF in Google Summer of Code - open to all beginners to open source
by Malin Sandström March 11, 2022

March 11, 2022

Dear all, tell your friends and colleagues - for the first time, the Google Summer of Code <https://summerofcode.withgoogle.com> Program is open to all beginners and newcomers to open source. INCF participates as a mentoring organization for the 12th time. This year, we offer 50 different projects suggested and mentored by tool developers in the neuroscience community. If you are interested in becoming an open source contributor, this program is a fantastic opportunity! Links: INCF Ideas List for 2022 <https://docs.google.com/document/d/131tHl3Ao3aJ_KbfOdZbeDog3sovhHhx_5fobchc…> Google Summer of Code FAQ <https://developers.google.com/open-source/gsoc/faq> Google Summer of Code 2022 timeline <https://developers.google.com/open-source/gsoc/timeline>Recommendations for GSoC contributors <https://www.incf.org/recommendations-gsoc-contributors> Google Summer of Code guides for mentors and students <https://developers.google.com/open-source/gsoc/resources/guide> Read our blog about GSoC 2022 <https://incf.org/blog/incf-applies-gsoc-2022> Best regards, Malin INCF Org Admin for GSoC 2022 -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Call for Abstracts: 31st Annual Computational Neuroscience Meeting (CNS*2022) in Melbourne
by Thomas Nowotny March 10, 2022

March 10, 2022

Organization for Computational Neurosciences Call for Abstracts We are inviting abstracts for the 31st Annual Computational Neuroscience Meeting (CNS*2022) - Melbourne, Australia July 16-20, 2022 The main meeting begins the evening of Saturday, July 16 and runs through Tuesday, July 19. It will be preceded by a day of tutorials (Saturday, July 16) and followed by workshops (Tuesday, July 18 mixed with the main meeting and Wednesday, July 19 workshops only). Keynote Speakers Michael Breakspear,<https://www.newcastle.edu.au/profile/michael-breakspear> The University of Newcastle Tara Hamilton, University of Technology Sydney Joseph Lizier<https://www.sydney.edu.au/engineering/about/our-people/academic-staff/josep…>, The University of Sydney Kristin Sellers<https://profiles.ucsf.edu/kristin.sellers>, University of California, San Francisco Registration and abstract submission will open Monday, March 14th. Abstract submission deadline: April 15th, 2022. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the drop-down box on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2022-registration Abstract submission for main meeting: https://cns.confmaster.net/ For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2022 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2022-call-for-tutorials Thomas Nowotny, Vice-President OCNS -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: http://www.cnsorg.org<http://www.cnsorg.org/> --------------------------------------------------------------------------------------------

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Call for Satellite Workshop Proposals, Bernstein Conference 2022 in Berlin
by Bernstein Communication March 10, 2022

March 10, 2022

+++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2022 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 13 - 14, 2022 o Tuesday, Sep 13, 14:00 – 18:00 CEST o Wednesday, Sep 14, 8:30 – 12:30 CEST - Main Conference: September 14 – October 16, 2022 - Deadline for Satellite Workshop proposal submission: +++ April 10, 2022 +++ - Notification of workshop acceptance: planned in early May 2022 ____ WORKSHOP PROPOSALS The pre-conference Satellite Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster extensive discussion and debate, rather than a series of talks. Proposals are welcome for either half-day or full-day workshops. We aim at organizing workshops in Berlin, please ask potential speakers about their availability for the in-person meeting. In addition, there might be a possibility for a few hybrid workshops. Selection criteria for workshop proposals will include scientific excellence, topical relevance and diversity in gender and career level of the selected speakers. Submit your workshop proposal here: https://indico3-jsc.fz-juelich.de/event/9/registrations/2/ +++ Deadline: April 10, 2022– not to be extended +++ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 € each. ____ WORKSHOP SELECTION COMMITTEE Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) Raoul Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumachenko (Program Vice Cahir) Megan Carey Brent Doiron Tatjana Engel Christian Leibold Timothy O’Leary Srdjan Ostojic Cristina Savin Mark van Rossum Friedemann Zenke ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc position in plasticity in blindness and handlessness (Washington DC)
by Ella Striem-Amit March 9, 2022

March 9, 2022

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

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INCF accepted to GSoC 2022!
by Heather Topple March 9, 2022

March 9, 2022

For the 12th time, INCF has been accepted as a mentoring organization for Google Summer of Code! Many core INCF community tools have been improved, extended, and made more interoperable as a result of GSoC (such as LORIS, The Virtual Brain, Open Source Brain, the Brian simulator, the Active Segmentation plugin for ImageJ, and more). For this round, tool developers in the INCF community have proposed 50 possible projects that they would be willing to mentor, from a range of different neuroscience fields. Please spread the word to anyone you feel would be interested! Learn more: bit.ly/INCFGSoC2022blog Talk directly with mentors on Neurostars: bit.ly/GSoC2022Neurostars Full project ideas list: bit.ly/GSoC2022ideas Best regards, /The INCF Secretariat ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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Postdoc in “InsectNeuroNano” at Edinburgh
by Barbara Webb March 9, 2022

March 9, 2022

A postdoctoral research associate position is available computational and neuromorphic modelling studies of navigation systems in the insect brain, as part of the InsectNeuroNano project and under the joint direction of Professor Barbara Webb (Edinburgh) and Professor Elisabetta Chicca (Gronigen). The InsectNeuroNano project proposes the development of nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain. It is a Horizon funded project with partners from Lund University (nano-devices, neurobiology), University of Copenhagen (semi-conductors, organic dyes), University of Gronigen (neuromorphic engineering) and University of Edinburgh (insect robotics). As proof of concept, we target the complete pathway from polarised light sensing in the insect eye to the internal compass and memory circuits in the central complex by which this information is integrated in a continuous accurate estimate of location. Within this project, the main role of the RA will be to take results from both anatomical and physiological studies and condense these into computational models, to abstract key principles of circuit function, as an essential bridge to hardware design. The position is available immediately and runs to 31 March 2024, but note there will then be a further 24 months funding at Gronigen and ideally the same person will continue in this RA role on the project for its 4 year duration. The salary range is £34,304 - £40,927 per annum. Candidates are expected to have a PhD in a relevant discipline and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The closing date for applications is 5th April 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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Postdoc in “Insect AI” at Edinburgh
by Barbara Webb March 9, 2022

March 9, 2022

A postdoctoral research associate position is available to undertake computational modelling studies of learning mechanisms in the insect brain and apply them to robot control and navigation problems, contributing to the project Insect AI under the direction of Professor Barbara Webb, in the School of Informatics at the University of Edinburgh. The position is available immediately, runs to 31 December 2023, and has a salary range of £34,304 - £40,927 per annum. Candidates are expected to have a PhD in a relevant area and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred. Informal enquiries can be directed to: Professor Barbara Webb (B.Webb(a)ed.ac.uk) Further information and application details are available here: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The closing date for applications is 7th April 2022 The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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[Meetings] CRNS Talk Series (4) - Live Talk by Prof. Mehul Bhatt - Orebro University - Sweden
by Amir Aly March 8, 2022

March 8, 2022

Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Prof. **Mehul Bhatt* from *Orebro University* - Sweden on Wednesday, March 16th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/95748572834?pwd=M05YTXhTVnBOK0R6WTlPaDJnTm5GUT09… >> *Title of the talk*: Artificial visual intelligence: Perceptual commonsense for human-centred cognitive technologies *Abstract*: This talk addresses computational cognitive vision and perception at the interface of (spatial) language, (spatial) logic, (spatial) cognition, and artiﬁcial intelligence. Summarizing recent works, I present general methods for the semantic interpretation of dynamic visuospatial imagery with an emphasis on the ability to perform abstraction, reasoning, and learning with cognitively rooted structured characterizations of commonsense knowledge pertaining to space and motion. I will particularly highlight: - explainable models of computational visuospatial commonsense at the interface of symbolic and neural techniques; - deep semantics, entailing systematically formalised declarative (neurosymbolic) reasoning and learning with aspects pertaining to space, space-time, motion, actions & events, spatio-linguistic conceptual knowledge; and - general foundational commonsense abstractions of space, time, and motion needed for representation mediated (grounded) reasoning and learning with dynamic visuospatial stimuli. The presented works –demonstrated in the backdrop of applications in autonomous driving, cognitive robotics, visuoauditory media, and cognitive psychology– are intended to serve as a systematic model and general methodology integrating diverse, multi-faceted AI methods pertaining knowledge representation and reasoning, computer vision, and machine learning towards realising practical, human-centred, computational visual intelligence. I will conclude by highlighting a bottom-up interdisciplinary approach –at the conﬂuence of cognition, AI, Interaction, and design science– necessary to better appreciate the complexity and spectrum of varied human-centred challenges for the design and (usable) implementation of (explainable) artiﬁcial visual intelligence solutions in diverse human-system interaction contexts. *Keywords*. Cognitive Vision; Knowledge Representation and Reasoning; Commonsense Reasoning; Deep Semantics; Declarative Spatial Reasoning; Com- puter Vision; Computational Models of Narrative; Human-Centred Computing and Design; Spatial Cognition and AI; Visual Perception; Multimodal Interaction; Autonomous Driving; HRI; Visuo-Auditory Media; Visual Art >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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Symposium "From Cortical Microcircuits to Consciousness" 11-13, April 2022
by Zélie Tournoud March 8, 2022

March 8, 2022

*From Cortical Microcircuits to Consciousness (CORTICON)* In person Symposium Institut Catholique de Paris, Paris, France 11-13 April 2022 The Symposium aims at bringing together neuroscientists from the Human Brain Project and invited guests to present their latest achievements in understanding cortical circuits at various scales, including the emergence of consciousness. The involvement of neuronal and neuroglial cells in brain functioning, memory, learning, cognition and consciousness in health and disease will be discussed from the experimental and theoretical perspective. The Symposium will also address neuroethics and neurophilosophy with links to society in a public key note, followed by a panel discussion by experts. Talks will be recorded and later put online. It will also offer a hands-on session on The Virtual Brain, the principal full brain network simulator in EBRAINS for constructing and simulating personalised brain models. We hope to see many of you in Paris at the Institut Catholique de Paris, close to Jardin du Luxembourg, in April 2022. Walter Senn, Alain Destexhe and Ausra Saudargiene ------------------------------------------------------------------------------ *Abstract submission* (300 words, for Posters): 15 March 2022 *Registration deadline:* 6 April 2022 *Info and program:*https://www.humanbrainproject.eu/en/education/corticon/ <https://www.humanbrainproject.eu/en/education/corticon/> *Speakers:* Katrin Amunts | Human Brain Project Scientific Research Director Melanie Boly | University of Wisconsin, USA Stanislas Dehaene | Collège de France Alain Destexhe | Centre National de la Recherche Scientifique, France Kathinka Evers | Uppsala University, Sweden Wulfram Gerstner | Ecole Polytechnique Fédérale de Lausanne, Switzerland Jeanette Hellgren-Kotaleski | KTH Royal Institute of Technology, Sweden Viktor Jirsa | Aix-Marseille University, France Christof Koch | Allen Institute for Brain Sciences, USA Matthew Larkum | Humboldt University of Berlin, Germany Marja-Leena Linne | Tampere University, Finland Marcello Massimini | University of Milan, Italy Lucia Melloni | Max Planck Institute for Human Cognitive and Brain Science, Germany Michele Migliore | Institute of Biophysics, Italian National Research Council, Italy Lars Muckli | University of Glasgow, UK Theofanis Panagiotaropoulos | Inserm, NeuroSpin, France Cyriel Pennartz | University of Amsterdam, Netherlands Panayiota Poirazi | IMBB-FORTH, Greece Petra Ritter | Berlin Institute of Health, Germany Pieter Roelfsema | Netherlands Institute for Neuroscience, Netherlands Ausra Saudargiene | Lithuanian University of Health Sciences, Lithuania Walter Senn | University of Bern, Switzerland Johan Storm | Institute of Basic Medical Sciences, University of Oslo, Norway Chris Summerfield | University of Oxford, UK Marmaduke Woodman | Aix-Marseille University, France _____ *Zélie Tournoud*/// EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org>

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Comp Neuro PhD position, Moreno Bote Lab, Barcelona
by Ruben Moreno Bote March 8, 2022

March 8, 2022

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. 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. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2022 and January 2023 -- Rubén Moreno Bote Serra Húnter Professor Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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[CFP, Deadline Extended] MDPI Molecules (IF: 4.412) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu March 7, 2022

March 7, 2022

(Apologies if you receive multiple copies of this CFP) MDPI Molecules (IF: 4.411, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: *31** July 2022* --------------------------- Guest Editors Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Sasitharan Balasubramaniam, University of Nebraska-Lincoln, USA ( sasi(a)unl.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Mr. Gavin Fu at: gavin.fu(a)mdpi.com <gavin.fu(a)mdpi.com>, molecules(a)mdpi.com

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Postdoctoral Fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience
by Paolo Avesani March 7, 2022

March 7, 2022

A postdoctoral fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience We are pleased to announce the opening of one Postdoctoral Fellowship at the Neuroinformatics Lab, an interdisciplinary initiative between the Center for Mind/Brain Sciences (CIMeC) of the University of Trento, and the Center for Digital Health of Fondazione Bruno Kessler. The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. The goal is to pursue an integrated approach to pre-operative neurosurgical planning, combining structural and functional characterization of brain connectivity. The data driven strategy will take advantage of a unique dataset of intra-operative points of directed electrical stimulation and the related functional responses. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 2 year Postdoc Fellowship (May, 2022 - April, 2024). To apply, follow the instructions at this link: https://bit.ly/nilab2022call Deadline for application: 21 March 2022. For questions about the position, please contact Paolo Avesani ( paolo.avesani(a)unitn.it) and/or Emanuele Olivetti (olivetti(a)fbk.eu) The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). To also consider a work/life balance, there is more than our passion for translational research. You can check these pointers for a flavor of life quality in Trentino: https://www.visittrentino.info/en; https://www.discovertrento.it/en A few papers related to the project are below: Bertò G,et al., (2021) Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation, Neuroimage, 224 https://doi.org/10.1016/j.neuroimage.2020.117402 Sarubbo S, et al., (2020) Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain, Neuroimage, 205 https://doi.org/10.1016/j.neuroimage.2019.116237 Astolfi P, et al., (2020) Tractogram filtering of anatomically non-plausible fibers with geometric deep learning, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) LNCS, vol 12267. Springer https://doi.org/10.1007/978-3-030-59728-3_29 Sarubbo S, et al., (2021) Planning brain tumor resection using a probabilistic atlas of cortical and subcortical structures critical for functional processing: a proof of concept, Operative Neurosurgery, 20(3), 175-183 https://doi.org/10.1093/ons/opaa396 -- ------------------------------------------------------- Paolo Avesani Fondazione Bruno Kessler via Sommarive 18, 38050 Povo (TN) - I phone: +39 0461 314336 fax: +39 0461 302040 email: avesani(a)fbk.eu web: avesani.fbk.eu -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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EMBO Practical Course - Barcelona summer school for Advanced Modelling of Behavior (BAMB!) -, September 1-8, 2022
by Alexandre Hyafil March 7, 2022

March 7, 2022

The Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group projects aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with a solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling). Scientists from underrepresented groups and countries are especially encouraged to apply. The school is an EMBO Practical Course <https://www.embo.org/conferences-training/> and is organized by the Centre de Recerca Matemática <http://www.crm.cat>. A limited number of travel grants <https://www.embo.org/funding/lecture-travel-and-childcare-grants/travel-gra…> will be available from EMBO. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (CRM, Barcelona) Máté Lengyel (Cambridge) Zhaoping Li (Tübingen) Alfonso Renart (Champalimaud) Marion Rouault (ENS Paris) Kim Stachenfeld (Deepmind) Chris Summerfield (Oxford / Deepmind) MH Tessler (Deepmind) Klaus Wimmer (CRM, Barcelona) Dates and location: September 1-8, downtown Barcelona, Spain Applications are open until April 13. Please see the course website for further details: www.bambschool.org.

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INCF/OCNS Software working group survey on software usage
by Ankur Sinha March 7, 2022

March 7, 2022

Dear all, We, the INCF/OCNS Software working group, are conducting a short anonymous survey to collect information on the usage of common software tools in comp-neuro. Could we please request you to spend 2 minutes of your time to fill it out here: https://forms.gle/NXWv2CwtWBSB9BXv9 The information gathered in the survey will be used to organise sessions/workshops related to the software, and improve awareness about them and their maintenance. On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Survey on the technical landscape and barriers present in EEG research informatics
by Christian O'Reilly March 6, 2022

March 6, 2022

Dear colleagues, We'd appreciate your time completing this brief survey, for a new initiative, EEGNet <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…> , which aims to leverage open-source infrastructure for sharing and annotating open standardized EEG datasets with automated processing workflows. We are keen to have your views on the technical landscape and barriers present in EEG research informatics. Click here to take this survey <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…> (https://tinyurl.com/4rruuz42) which should take around 10 minutes -- and thank you for sharing it with colleagues in your field. If you're interested in sharing tools and data through EEGNet and providing more input on the platform, please let us know via the embedded links you'll find in the survey. EEGNet is a constituent organization of the Global Brain Consortium (GBC <https://protect2.fireeye.com/v1/url?k=31323334-501d2dca-31327df5-4544555345…>), an international neuroscience collaboration focused on EEG-mediated applications in global health. Thank you for your valuable input - We are hoping to have all responses back as soon as possible. Christian O'Reilly ------------------ Assistant Professor, University of South Carolina (UofSC) Department of Computer Science and Engineering Artificial Intelligence Institute (#AIISC) Autism and Neurodevelopmental Disorders Center (#USCAND) Institute for Mind and Brain

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Postdoc position
by Cian O'Donnell March 4, 2022

March 4, 2022

Postdoc position in Computational Neuroscience Intelligent Systems Research Centre, Ulster University, Derry/Londonderry, UK We are looking for a computational/mathematical neuroscience research associate to build stochastic models of gene expression in neurons to try to understand how or if synapses can store information stably. Post has funding for up to 3 years. You will be based in the group of Cian O'Donnell at Ulster University in Derry, Northern Ireland, UK (https://odonnellgroup.github.io) but closely collaborating with and visiting the mathematical neuroscience group of Romain Veltz at INRIA, Sophia-Antipolis, France (http://romainveltz.pythonanywhere.com) In addition to mathematical/computational modelling, as part of the project you will have the opportunity to analyse in vivo and in vitro imaging data from experimental collaborators Noam Ziv, Technion, Israel (https://noamziv.net.technion.ac.il) and Haining Zhong, OHSU, USA (https://www.hainingzhonglab.com) You will also be a member of the Intelligent Systems Research Centre (http://isrc.ulster.ac.uk) which hosts a community of researchers working across computational and cognitive neuroscience, neurotechnology, neuromorphic engineering, machine learning, robotics and related fields. You should have: - PhD in computational neuroscience/biology, applied mathematics, computer science, engineering, physics, or related field. - Expertise in one or more programming languages for scientific computing such as Python, Julia, MATLAB, or similar. - Experience of computational/mathematical modelling of biological or related systems. Derry is lively city of ~100K people situated on the River Foyle, in the north-west of the island of Ireland. It has a highly affordable cost of living, thriving cultural scene, and access to spectacular coastal scenery and the great outdoors in Donegal and the north coast of Northern Ireland. Application deadline is 13th March 2022. Follow this link (https://www.ulster.ac.uk/about/jobs) and search for job ref 010982. Please contact Cian (c.odonnell2(a)ulster.ac.uk<mailto:c.odonnell2@ulster.ac.uk>) for informal enquiries. -- Cian O’Donnell Lecturer in Data Analytics School of Computing, Engineering and Intelligent Systems Ulster University https://odonnellgroup.github.io

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Postdoc in Computational Neuroscience at NYU
by Cristina Savin Feb. 28, 2022

Feb. 28, 2022

Postdoc in Computational Neuroscience at NYU We are seeking a creative and driven computational neuroscience postdoctoral fellow to work on a collaborative project between the labs of Dora Angelaki (https://angelakilabnyu.org/ <https://angelakilabnyu.org/>) and Cristina Savin (http://www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin>) at New York University. The project studies neural representations underlying foraging behavior in monkeys, comparing both freely-moving and head-restrained behaviors, funded by the NIH BRAIN Initiative. The position is initially for one year, with the possibility of renewal. The successful candidate will have: a strong quantitative background demonstrable interest in neuroscience obtained (or be close to the completion of) a PhD in computational neuroscience, physics, mathematics, computer science, machine learning, statistics, etc ability to work in a strongly collaborative and interdisciplinary setting Preference will be given to candidates with: expertise in probabilistic machine learning strong programming skills, ideally in python previous experience with neural data analysis To send your application please provide your cv, a brief statement of research interests, and the contact details for reference letters to <csavin(a)nyu.edu <mailto:csavin@nyu.edu>>. For informal queries, please contact Cristina Savin (csavin(a)nyu.edu <mailto:csavin@nyu.edu>) or Dora Angelaki(da93(a)nyu.edu <mailto:da93@nyu.edu>). We will be available for in person discussions at the upcoming Cosyne meeting.

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Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück.
by Peter König Feb. 28, 2022

Feb. 28, 2022

Great opportunity in Computational Neuroscience: Assistant Professor in Computational Neuroscience (W1) with tenure track option (to W2) at the Institute for Cognitive Science, University of Osnabrück. (apologies for multiple postings) Full details at: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… --- This tenure-track Professorship is funded by the German Federal Government and the Länder under its Program for the Promotion of Young Academics (Tenure-Track Program). Upon meeting the general administrative requirements, you will be employed as a civil servant on limited tenure for an initial period of three years. If you receive a positive evaluation after the initial three years, this period can be extended by up to three further years. If you meet Osnabrück University’s standards with respect to ability, competence and academic achievement, you will be offered a tenured W2 Professorship in accordance with the relevant legal provisions without further application. Tasks and Responsibilities: Research and teaching should be in the area of computational neuroscience. The professorship and research should be focused on understanding principles of neuronal information processing and cognitive processes. 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 (e.g. RTG Situated Cognition, RTG Computational Cognition) and should participate in the respective continuation research proposal of the Research Training Group Computational Cognition. In addition, the professorship should engage in teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Conditions of Employment: Condition of employment is: - Research experience in the field of neuronal information processing with the focus of understanding principles of neuronal information processing or cognitive processes. - Research focus on at least one of the two following topics: - Methods of Experimental cognitive neuroscience like EEG, MEG, fMRI, TMS, cell recordings, eyetracking, or virtual reality - Models of information processing in neurons, networks of neurons like for example deep neuronal networks and machine learning. - A coherent research profile, must be motivated by or explain experimental data and there must be a realistic perspective to implement all parts of the own research, including the experimental components or data collection, at the university of Osnabrück. - An excellent command of the English language. - Willingness to participate in university administrative processes and commission work. For non-German speaking applicants, willingness is expected to learn the German language with a sufficient proficiency within two years. In addition, it would be welcome: - Teaching experience in the field of the professorship - Experience with acquiring third party research funding. Legal Conditions of Employment: You will hold a first degree, have a strong commitment to teaching, and have demonstrated your ability to engage independently in advanced academic research, as a rule by obtaining an outstanding PhD (in accordance with Section 30 subsection 2 of the Lower Saxony Higher Education Act [NHG]) in a relevant subject. The time between the applicant’s final PhD examination or the completion of other equivalent qualifications which qualify the applicant for the position in accordance with Section 30 para. 2 sentence 1 No. 3 Lower Saxony Higher Education Act and the applicant’s application for the assistant professorship should be no longer than four years. This period of time does not include periods caring for a child or several children under 18 years of age or periods caring for a dependent relative and increases by up to two years per child or period of care to a maximum four years in multiple cases of care (Section 30 para. 5 Lower Saxony Higher Education Act). The position is available on a full-time or part-time basis. Osnabrück University is a 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. If two candidates are equally qualified, preference will be given to the candidate with disability status. For further information, please contact Prof. Dr Gordon Pipa, Tel. +49 541-969-2277, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application (including a resume with full details of your scholarly and scientific employment history, list of publications and courses taught as well as planned research) in electronic form (as one pdf file) together with the “Bewerbungsprofil” [“Applicant Profile”] (DOCX, 13,58 kB) to the Dean of the School of Human Sciences, Prof. Dr. Susanne Boshammer, Universität Osnabrück, 49069 Osnabrück (bewerbungfb08(a)uni-osnabrueck.de) to arrive by March 27, 2022. Please enter the code word "CNtt" in the subject of your e-mail. We look forward to receiving your application. -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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Assistant Prof (W1) TT @ Uni Osnabrück, Germany
by Ulrich G. Hofmann Feb. 25, 2022

Feb. 25, 2022

This open position may be of interest to Comp Neuro scientists: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote-… ulrich hofmann

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Announcing Okinawa/OIST Computational Neuroscience Course 2022
by Erik De Schutter Feb. 25, 2022

Feb. 25, 2022

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2022 Methods, Neurons, Networks and Behaviors June 13 to June 29, 2022 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc After two consecutive cancelations due to COVID-19, OCNC 2022 will take place on June 13-29, preceding Neuro2022 (https://neuro2022.jnss.org) in Okinawa. Depending on the immigration situation in June the course will be either pure on-site or hybrid: a mixture of on-site and remote. The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June June 13 through June 29, 2022 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only: January 26 - February 28, 2022. Applicants will receive confirmation of acceptance in April. The 17th OCNC will be a shorter course than in the past: a two-week course covering single neurons, networks, and behaviors with time for student projects. Teaching will focus on methods with hands-on tutorials during the afternoons, and lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. However in the case of a hybrid format course, only on-site students will receive support for student projects. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Michael Berry II (Princeton University, USA) • Anne Churchland, Cold Spring Harbor Labs, USA • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll, Norwegian University of Life Sciences (online) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Yukiyasu Kamitani, Kyoto University, Japan • Bernd Kuhn (OIST) • Sang Wan Lee, KAIST, South Korea • Devika Narain, Erasmus Medical Center, Rotterdam, Netherlands • Viola Priesemann, MPG Göttingen, Germany (online) • Ivan Soltesz, Stanford University, USA • Greg Stuart, Australian National University, Australia • Greg Stephens (OIST) • Saori Tanaka, (ATR, Japan) • Marylka Yoe Uusisaari (OIST)

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14ᵗʰ Advanced Scientific Programming in Python in Bilbao Spain, 5–11 September, 2022
by Jakob Jordan Feb. 23, 2022

Feb. 23, 2022

ASPP2022: 14ᵗʰ Advanced Scientific Programming in Python ======================================================== a Summer School by the ASPP faculty and the Faculty of Engineering of the Mondragon University, Bilbao https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 5–11 September, 2022. Bilbao, Spain. Application =========== You can apply online: https://aspp.school Application deadline: 23:59 UTC, Sunday 1 May, 2022. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. We are in the process of securing some funds for supporting students with accommodation and living costs. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Jakob Jordan, Department of Physiology, University of Bern Switzerland • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde Denmark • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam Germany • Nicolas Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Diseases, University of Bordeaux France • Pamela Hathway, GfK, Nuremberg Germany • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany Organization team in Bilbao: • Aitor Morales-Gregorio, Theoretical Neuroanatomy, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich, Germany • Carlos Cernuda, Data Analysis & Cybersecurity, Faculty of Engineering, Mondragon Unibertsitatea, Bilbao Spain Website: https://aspp.school Contact: info(a)aspp.school

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Call for proposals for workshops and tutorials at CNS*2022 Melbourne
by Thomas Nowotny Feb. 23, 2022

Feb. 23, 2022

OCNS Organisation for Computational Neurosciences Dear com-neuro community, We are requesting proposals for workshops and tutorials at CNS*2022 from the international community of computational neuroscientists. The 31st Annual Computational Neuroscience Meeting, CNS*2022, will be held at Melbourne, Australia, 16-20 July 2022. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2022 Meeting. This is an excellent opportunity to reach international audience of computational neuroscience researchers participating in this meeting. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org<mailto:workshops@cnsorg.org> or tutorials(a)cnsorg.org<mailto:tutorials@cnsorg.org> as appropriate. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2022-call-for-workshops Priority Deadline for proposals: April 15 Jorge Mejias, Workshops Chair for CNS*2022 CALL FOR TUTORIALS: https://ocns.memberclicks.net/cns-2022-call-for-tutorials Deadline for proposals: April 15 Anca Doloc-Mihu, Tutorials Chair for CNS*2022 With kind regards, Thomas Nowotny, Vice President, on behalf of The OCNS Board of Directors -- Prof Thomas Nowotny Head of AI Research Group School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873

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Fully funded PhD position, University of Groningen/NL
by Michael Biehl Feb. 23, 2022

Feb. 23, 2022

*Last reminder, j**ust a few days left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications *(before March 1)* are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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NEUROTECH: Call for tutorials on Neuromorphic Computing
by Elisa Donati Feb. 23, 2022

Feb. 23, 2022

Dear Colleagues, Given the success of last year’s NEUROTECH educational program, we have planned a new tutorial series for 2022! We are happy to announce a call for tutorials on the different aspects of the neuromorphic field. These tutorials will cover an aspect of active research in Neuromorphic Technology, with the aim of enabling a non-expert audience to get started on it. They will be held online via zoom, should be about 45 minutes in length, including a discussion session. Tutorials could be given by experienced researchers as well as emerging leaders who seek to disseminate their research methods to a wider audience. Presenters will benefit from the high visibility of the tutorial sessions within the NEUROTECH programme, and from the wider dissemination of their research methods and potential impact generated by other researchers. Proposals should not exceed 1 page (A4 or letter) in length. The proposal should outline the topic and indicate how the audience will benefit from it. Send your proposal by 07.03.2022 to educational(a)neurotechai.eu with the subject "Proposal for NEUROTECH Educational Tutorial". For more information: Call for Tutorials About NEUROTECH: The NEUROTECH project is committed to community building around Neuromorphic Technology. The educational programme is an essential pillar of our activities. Last year we have built a strong educational programme around a series of talks by leaders in the field (https://neurotechai.eu) Kind Regards, The NEUROTECH Educational Team

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Survey of the Allen Institute modeling software
by Anton Arkhipov Feb. 23, 2022

Feb. 23, 2022

Dear Colleagues, We are conducting a survey about the Allen Institute’s neuroscience modeling software: https://forms.gle/R1ThdxBE98FhG1uQ6 The survey covers the Brain Modeling ToolKit, the SONATA file format, and the Visual Neuronal Dynamics visualization tool. It only takes several minutes, and we will appreciate to hear from you! Whether you are using our software, may be interested in using it, or are happily using something else, we will be glad to hear your opinion about our tools and modeling software in neuroscience in general. Please let us know what works, what doesn’t, and what new features would be helpful. Results of the survey will be used to improve our modeling software at the service of the community. This work is conducted under the NIH grant U24NS124001. Thank you, and we are looking forward to hearing from you! Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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[Meetings] CRNS Talk Series (3) - Live Talk by Dr. Séverin Lemaignan - PAL Robotics, Spain
by Amir Aly Feb. 22, 2022

Feb. 22, 2022

Dear All * Apologies for cross-posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. Séverin Lemaignan* who is a senior scientist at *PAL Robotics*, Spain on Wednesday, March 2nd from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning, AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/97451532624?pwd=ZmVSUzkrT3lUNWdXNmFEekNYSjRQUT09… >> *Title of the talk*: Teaching robots autonomy in social situations *Abstract*: Participatory methodologies are now well established in social robotics to generate blueprints of what robots should do to assist humans. The actual implementation of these blueprints, however, remains a technical challenge for us, roboticists, and the end-users are not usually involved at that stage. In two recent studies, we have however shown that, under the right conditions, robots can directly learn their behaviours from domain experts, replacing the traditional heuristic-based or plan-based robot controllers by autonomously learnt social policies. We have derived from these studies a novel 'end-to-end' participatory methodology called LEADOR, that I will introduce during the seminar. I will also discuss recent progress on human perception and modeling in a ROS environment with the emerging ROS4HRI standard. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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9th Iberian Conference on Perception, Barcelona, June 2022
by Xavier Otazu Porter Feb. 22, 2022

Feb. 22, 2022

Dear colleague, perception researcher, We are pleased to invite you to attend the 9th Iberian Conference on Perception (CIP 2022), which will be held on June 27th-29th, 2022, in Barcelona, Catalonia, Spain (https://www.cip2022.org<https://www.cip2022.org/>). CIP focuses on perception, with an emphasis on, but no limitation to, several aspects of perception such as motion perception, spatial vision, stereopsis, colour, perception and action, attention and cognition, audition, multisensory integration, reading and speech, brain imaging, art and aesthetics, perception in clinical populations and computational modelling. In addition to talks on this broad range of topics, the conference will include five symposia, poster sessions, and two keynote lectures from young internationally renowned scientists, Dr Iris Groen, from the University of Amsterdam, and Prof Manuel Spitschan, from the Max Planck Institute in Tübingen.. The event will take place at the Casa Convalescència<https://uab-casaconvalescencia.org/es/> in the modernist historical complex of Hospital de la Santa Creu i Sant Pau <https://www.santpaubarcelona.org/> in Barcelona, which was declared a UNESCO World Heritage Site in 1997. The COVID-19 pandemic forced us to break with the biennial organisation of CIP and to cancel the 2021 edition. For this year's edition, the health and safety of our speakers, attendees and staff will be a top priority. We designed the conference around this premise. The venue and program will allow social distancing while on site and regular ventilation of the conference room. All attendees will be asked to continue to wear face masks (unless medically exempt) during the conference and throughout all the premises of the Casa Convalescència. These policies will continue to be reviewed in line with government and local authority updates. We look forward to an exciting scientific programme and rely on the renewed eagerness of the research community to submit abstracts on their recent studies. Abstracts deadline: 15th April Registration: From February 15th to 1st June The Organising Committee Dr Xavier Otazu Dr Xim Cerda-Company Dr C. Alejandro Parraga Dr Olivier Penacchio Computer Vision Center<http://www.cvc.uab.cat> CONFIDENTIALITY WARNING<http://www.cvc.uab.es/?page_id=7475>

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Postdoctoral position in natural language processing and neuroscience, University of Geneva, Switzerland
by Timothée Proix Feb. 21, 2022

Feb. 21, 2022

Dear all, a postdoctoral position is available under the supervision of Prof. Pierre Mégevand (https://www.unige.ch/medecine/neucli/en/groupes-de-recherche/1034megevand/) and Timothée Proix (https://ndlab.ch/) at the University of Geneva, Switzerland. The project lies at the interface between natural language processing and intracranial EEG data analysis. The goal of the project is to understand the neural representations of speech production and perception in conversations. The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have prior experience with machine learning methods for natural language processing, as well as in advanced data analysis techniques. Experience in electrophysiological recordings and knowledge in neuroscience is a significant advantage. The research will be performed at the campus Biotech in the university of Geneva, in collaboration with the Geneva University Hospital. The positions are funded by the private foundation of the Geneva University Hospital, and salaries are in compliance with guidelines of the University of Geneva. The ideal start is May 2022, with some flexibility. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to the Prof. Pierre Mégevand (pierre.megevand (at) unige.ch) as well as Timothée Proix (timothee.proix (at) unige.ch). Screening of applications will start by March 2022 and will continue until the position is filled. Timothée Proix

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NSF Neuronex Big Brain Imaging Hybrid Workshop @ Boston University - April 7-8, 2022
by Chen, Jerry Feb. 21, 2022

Feb. 21, 2022

We are proud to announce the 2022 Big Brain Imaging Workshop hosted jointly by the NSF NeuroNex Nemonic Hub as well as the Boston University Neurophotonics Center! This two-day hybrid workshop will take place at Boston University and online on Thursday, April 7th and continue on Friday, April 8th, 2022. The 2022 Big Brain Imaging Workshop is an opportunity to join in the discussion on optical approaches for cellular resolution imaging of neuronal populations that have been highly instrumental for uncovering the principles of neural circuit function. To date, the microscope technology development for imaging the nervous system has largely been focused on applications on a subset of model species with smaller, optically accessible brains (ex. c. elegans, zebrafish, mice). The ability to translate these technologies to species with brains that are both physically larger and less optically accessible remains a challenge. The topic of the workshop is focused on advancing cellular resolution brain imaging techniques in "larger" brains of mammalian species (ex. rats, cats, ferrets, marmosets, macaques). The goal is to bring neuroscientists and optical engineers together to discuss challenges and come up with potential solutions that will pave the way for the next generation of microscopes that can be applied to a greater number of model organisms. Invited Speakers Daniel Aharoni - University of California, Los Angeles Adam Charles - Johns Hopkins University Anna Devor - Boston University David Fitzpatrick - Max Planck Institute Florida Emily Gibson - University of Colorado Anschutz Prakash Kara - University of Minnesota Jerome Mertz - Boston University Kristina Nielsen - Johns Hopkins University Anitha Pasupathy - University of Washington Bijan Perasan - New York University Nicholas Priebe - University of Texas, Austin Eyal Seidemann - University of Texas, Austin Lei Tian - Boston University Alipasha Vaziri - Rockefeller University Chris Xu - Cornell University In addition to the invited speakers, spots are available for short talks by visiting the registration page and submitting a brief abstract: For more information and free registration, visit: https://nemonic.ece.ucsb.edu/index.php/Big_Brain Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org<http://www.chen-lab.org> jerry(a)chen-lab.org<mailto:jerry@chen-lab.org> Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org<http://www.chen-lab.org> jerry(a)chen-lab.org<mailto:jerry@chen-lab.org>

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postdoc in Computational Neuroscience, Cambridge-Columbia collaboration
by Máté Lengyel Feb. 18, 2022

Feb. 18, 2022

Postdoc in Computational Neuroscience, Cambridge-Columbia collaboration We are seeking a highly creative and motivated postdoctoral fellow to work on a collaborative project between the labs of Guillaume Hennequin and Máté Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, and Daniel Wolpert at the Zuckerman Mind Brain Behavior Institute, Columbia University. The project studies neural network mechanisms underlying the context-dependent (continual) learning of motor repertoires and ties together several threads of research recently developed in our labs, based on the following key publications (note that several are collaborative between our groups): - JB Heald, M Lengyel, DM Wolpert (2021) Contextual inference underlies the learning of sensorimotor repertoires. Nature 600:489-493. - TC Kao, MS Sadabadi, G Hennequin (2021). Optimal anticipatory control as a theory of motor preparation: a thalamo-cortical circuit model. Neuron 109:1567-1581. - TC Kao, KT Jensen, GM van de Ven, A Bernacchia, G Hennequin (2021) Natural continual learning: success is a journey, not (just) a destination. NeurIPS, https://tinyurl.com/2jfyss8c - Echeveste R, Aitchison L, Hennequin G, Lengyel M (2020) Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature Neuroscience 23:1138-1149. The postdoc will be based in Cambridge, with an opportunity for regular visits to Columbia. The successful candidate will have - a strong quantitative background - demonstrable interest in theoretical neuroscience - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in computational neuroscience, especially with the dynamics of recurrent neural network, and function-optimized neural networks - sufficient programming skills to run numerical simulations and to use large scale optimization packages - expertise with advanced data analysis and Bayesian techniques For further details and to send your application, please go to https://www.jobs.cam.ac.uk/job/33691/. For informal queries, please contact Guillaume Hennequin <g.hennequin(a)eng.cam.ac.uk>, Máté Lengyel <m.lengyel(a)eng.cam.ac.uk> or Daniel Wolpert <wolpert(a)columbia.edu>. Máté Lengyel -- Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: lengyellab.org

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KogWis2022 | 15th Biannual Conference of the German Cognitive Science Society +++ The call for symposia is open
by Constantin Rothkopf Feb. 18, 2022

Feb. 18, 2022

Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2022 Theme: Understanding Minds Date: 5.-7. September 2022 Location: Freiburg im Breisgau, Germany Host: Albert-Ludwigs University Freiburg Web: https://www.kogwis2022.uni-freiburg.de/ Abstract: The 15. biannual Conference of the German Cognitive Science Society (KogWis2022) will take place from 5.-7. September 2022 in Freiburg i.Br., Germany, organized by the Center for Cognitive Science. The theme “Understanding Minds” reflects two perspectives: The conference provides a forum for all topics in the study of how minds – both human and artificial – operate. The theme also puts a specific spotlight on how cognitive systems make sense of the world, in particular in language comprehension and communication. The Call for Symposia for the 15th Biannual Conference of the German Cognitive Science Society, KogWis2022, is now open! https://www.kogwis2022.uni-freiburg.de/ Confirmed keynote speakers are: Dedre Gentner, Northwestern University, Illinois Seana Coulson, University of California, San Diego Marcel Brass, Humboldt University, Berlin Matthew Crocker, Saarland University, Saarbrücken For any inquiries please use the conference e-mail-address kogwis2022(a)cognition.uni-freiburg.de. Further information is available on the conference website: www.kogwis2022.uni-freiburg.de. Organising Committee: Evelyn Ferstl, Lars Konieczny, Rul von Stülpnagel, Lisa Zacharski, Judith Beck

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus Feb. 18, 2022

Feb. 18, 2022

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 28 to August 24, 2022, and the online application form can be found at: https://www.mbl.edu/education/courses/methods-in-computational-neuroscience/<https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN> The course application deadline is *March 30*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2022 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2022 Faculty: Larry Abbott, Columbia University Tim Behrens, Univ. College London Emery Brown, MIT Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Albert Compte, IDIBAPS Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind

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[jobs] Phd opportunity in Lille, France - Spiking Neural Networks for Video Analysis
by Ioan Marius BILASCO Feb. 17, 2022

Feb. 17, 2022

The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student starting as soon as possible on the following subject : Spiking Neural Networks for Video Analysis The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. We are also involved in IRCICA (CNRS), a research institute promoting multidisciplanary research. At IRCICA, we collaborate with computer scientists and experts in electronics engineering to create new models of neural networks that can be implemented on low-power hardware architectures. Recently, we designed state-of-the-art models for image recognition with single and multi-layer unsupervised spiking neural networks. We were among the first to succesfully apply unsupervised SNNs on modern datasets of computer vision. We also developed our own SNN simulator to support experiments with SNN on computer vision problems. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN) in the field. Abstract: Spiking Neural Network have recently been evaluated on classical image recognition tasks [1]. This work has highlighted their promising performances in this domain and have identified ways to improve them to be competitive with comparable deep learning approaches. In particular, it demonstrated the ability of SNN architectures to learn relevant patterns for static pattern recognition in an unsupervised manner. However, dealing with static images is not enough, and the computer vision community is increasingly interested in video analysis, for two reasons. First, video data is more and more common and corresponds to a wide range of applications (video surveillance, audio-visual productions, autonomous vehicles...). Second, this data is richer than isolated static images, and thus offers the possibility to develop more effective systems, e.g. using motion information. Thus, it is recognized in the community that modeling motion in videos is more relevant than studying visual appearance alone for tasks such as action or emotion recognition. The next step for SNNs is therefore to study their ability to model motion rather than, or in addition to, image appearance. The goal of the Ph.D. candidate will be to explore the use of SNNs for space-time modeling in videos. This work will be targeted towards applications in human behavior understanding and especially action recognition. More specifically, the Ph.D. candidate is expected to: * identify what issues may prevent space-time modeling with SNNs and how they can be circumvented; * propose new supervised and unsupervised SNN models for motion modeling, which are compatible with hardware implementations on ultra-low power devices; * evaluate the proposed models on standard datasets for video analysis. Detailed subject: https://bit.ly/stssnnfox <https://bit.ly/stssnnfox> Candidates must hold a Master degree (or an equivalent degree) in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • bio-inspired computing; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in C++ is a plus, but not mandatory). This PHD thesis will be funded in the framework of the ANVI-Luxant industrial chair. The general objective of the Chair is to make a scientific and technological progress in the mastery of emerging information processing architectures such as neuromorphic architectures as an embedded artificial intelligence technique. The use-case studies will come from video protection in the context of retail and transportation. The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. For application, please send the following information in a single PDF file to Dr. Marius Bilasco (marius.bilasco(a)univ-lille.fr <mailto:marius.bilasco@univ-lille.fr>) with subject [PhD_Luxant-ANVI]: * A cover letter. * A curriculum vitae, including a list of publications, if any. * Transcripts of grades of Master's degree. * The contact information of two references (and any letters if available). We look forward to receiving your application as soon as possible, but no later than 26.3.2022

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[jobs] PhD opportunity - Spatio-temporal augmentation models for motion pattern learning - AI_PhD@Lille, France
by Ioan Marius BILASCO Feb. 17, 2022

Feb. 17, 2022

The FOX team from the CRIStAL laboratory (UMR CNRS), Lille France is looking to recruit a PhD student starting on October 1st 2022 on the following subject : Spatio-temporal data augmentation models for motion pattern learning using deep learning: applications to facial analysis in the wild The FOX research group is part of the CRIStAL laboratory (University of Lille, CNRS), located in Lille, France. We focus on video analysis for human behavior understanding. Specifically, we develop spatio-temporal models of motions for tasks such as abnormal event detection, emotion recognition, and face alignment. Our work is published in major journals (Pattern Recognition, IEEE Trans. on Affective Computing) and conferences (WACV, IJCNN). Abstract: Facial expression analysis is a well-studied field when dealing with segmented and constrained data captured in lab conditions. However, many challenges must still be addressed for building in-the-wild solutions that account for various motion intensities, strong head movements during expressions, the spotting of the subsequence containing the expression, partially occluded faces, etc. In recent years, learned features based on deep learning architectures were proposed in order to deal with these challenges. Deep learning is characterized by neural architectures that depend on a huge number of parameters. The convergence of these neural networks and the estimation of optimal parameters require large amounts of training data, especially when dealing with spatio-temporal data, particulary adequate for facial expression recognition. The quantity, but also the quality, of the data and its capacity to reflect the addressed challenges are key elements for training properly the networks. Augmenting the data artificially in an intelligent and controlled way is an interesting solution. The augmentation techniques identified in the literature are mainly focused on image augmentation and consist of scaling, rotation, and flipping operations, or they make use of more complex adversarial training. These techniques can be applied at the frame level, but there is a need for sequence level augmentation in order to better control the augmentation process and ensure the absence of temporal artifacts that might bias the learning process. The generation of dynamic frontal facial expressions has already been addressed in the literature. The goal of this Ph.D. is to conceive new space-time augmentation methods for unconstrained facial analysis (involving head movements, occultations, etc.). Attention should be paid in assessing the quality standards related to facial expression requirements: stability over time, absence of facial artifacts, etc. More specifically, the Ph.D. can didate is expected to conceive augmentation architectures that address various challenges (motion intensities, head movements) while maintaining temporal stability and eliminating facial artifacts. More details are available here : https://bit.ly/staugm_motion <http://bit.ly/st_augm_motion> Candidates must hold a Master degree in Computer Science, Statistics, Applied Mathematics or a related field. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in C++ is a plus, but not mandatory). This PHD thesis will be funded in the framework of the AI_PhD@Lilleprogram. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ <http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/> The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD@Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 26.03.2021.

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job: staff scientist/team leader at NIMH
by Francisco Pereira Feb. 17, 2022

Feb. 17, 2022

The National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), is recruiting for a Staff Scientist/Team Leader position to direct the Scientific and Statistical Computing Core/AFNI Team (https://afni.nimh.nih.gov).The primary function of this group is to support multimodal neuroimaging research in the intramural research program (IRP) at NIH. This includes (i) applying, extending, and developing new and existing software tools and techniques to conduct pioneering analyses on a diverse array of neuroimaging modalities (e.g. MRI, DTI, fMRI, MEG, PET, and EEG), (ii) advising and training IRP researchers on neuroimaging analysis methods, and (iii) leading the future growth and development of the AFNI code base ( https://github.com/afni/afni) Primary responsibilities of the Team Leader will include serving as a partner in and facilitator of neuroimaging research within the NIMH IRP; providing guidance on study design; and ensuring that appropriate standards of quality, rigor, and transparency are maintained. They will also act in coordination with the leaders of the Data Science and Sharing ( https://cmn.nimh.nih.gov/dsst) and Machine Learning Teams ( https://cmn.nimh.nih.gov/mlt) Finally, they will be responsible for management and supervision of approximately 9 full time staff members including software engineers, statisticians, and other biomedical science professionals. The successful candidate must be committed to scientific excellence and highly collaborative research, ensuring an immense impact on the fields of brain imaging and mental health research. Candidates must have earned a Ph.D. or M.D. and demonstrate experience as an outstanding scientist. Applicants must possess the ability to analyze, prioritize, and delegate resources while managing multiple projects. Expertise and experience should include demonstration of positive and collegial interactions with staff at all levels and the ability to communicate and promote their research, software, and scholarly contributions. Applicants should also have knowledge and experience in software engineering, including writing, distributing, maintaining, and supporting scientific software for a large user base while adhering to community recognized standards and practices. Please see the official posting https://cmn.nimh.nih.gov/compcore-job for more details, including instructions on how to apply.

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new Open Access Perspective
by Daniel Gardner Feb. 17, 2022

Feb. 17, 2022

What do brains compute, and how do they do it? Has evolution conserved a small canonical set of computations performed by neural circuitry? In a just-published invited Perspective for the Journal of Computational Neuroscience, I present arguments for (and against) these fundamental questions. The title, Where are the cores in this thing? …and what are they computing? (with apologies to Larry Abbott) is of course an homage to Larry's 'Where are the switches on this thing?' It's Open Access and freely downloadable (tell your students and friends) at: https://link.springer.com/content/pdf/10.1007/s10827-021-00809-1.pdf The very first sentence is: "Evolution conserves neural components and connectivity—does this extend to computations and circuitry?" I go on to note that independent of specific microcircuit connectivity, some key neuronal and network properties, conserved across all nervous systems, may be essential for computation. Candidates include irregular firing, stochastic plastic synapses, alternate A/D PSPs/spikes, nonlinear f-I, cellular longevity, dynamic but stable networks with both fixed and adaptive features, and local processing linked by distant connectivity for coherence and modulation. Collegially, I invite discussion. I also urge neuroscientists to add these questions to those that guide their own research, and I offer community efforts to widen the scope. ...Daniel Gardner, Ph.D. dan(a)med.cornell.edu dg458(a)columbia.edu Head, Laboratory of Neuroinformatics Professor Physiology & Biophysics/Neurology/Neuroscience Weill Medical College of Cornell University lab: (212) 746-6373 cell: (917) 902-0654

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NEST Conference 2022 - registration is open
by Hans Ekkehard Plesser Feb. 17, 2022

Feb. 17, 2022

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2022. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! This year's conference will again take place as a virtual event on Thursday/Friday 23/24 June 2022. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- 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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Postdoctoral Researcher in Medical Interactive Technologies
by Mastaneh Torkamani Feb. 17, 2022

Feb. 17, 2022

The University of Eastern Finland is inviting applications for a Postdoctoral Researcher position in Medical Interactive Technologies on the Joensuu Campus. The position will be filled for a 2-year term from 1.3.2022 (or as agreed). Please find more information below and submit your application no later than 25.2.2022. We are looking for a highly motivated and self-driven Postdoctoral Researcher to work full-time on an interdisciplinary research project funded by the Academy of Finland: "Next generation sensory monitoring for improving microsurgical skills and performance" led by Associate Professor Roman Bednarik (https://www.uef.fi/en/web/int) As our new Postdoctoral Researcher in Medical Interactive Technologies, you will be working in the School of Computing at the Faculty of Science and Forestry, Joensuu. The project is in collaboration with Kuopio University Hospital, Department of Neurosurgery and Microsurgery Training Center, https://www.microsurgerycenter.com/. The research will focus on deep understanding of sensorimotor perception and action in image-guided surgeries. A large part of the research evolves around the visual and tactile perception that underlies surgeon’s high-level skills, i.e. eye-hand coordination, action planning, and decision making. Situated in bimanual surgical tasks, our research combines human factors, human-robot interaction, computational modeling, machine learning, and computer vision for intelligent skill monitoring and interaction with robotic assistance in surgical procedures. For more information, please see the job advert at https://rekry.saima.fi/certiahome/open_job_view.html?did=5600&jc=16&id=0000… Please submit your application by using our electronic application form no later than 25.2.2022 (by 24.00 hours Finnish time). For further information on the position, please contact associate Professor Roman Bednarik, e-mail roman.bednarik(a)uef.fi, tel. +358 29 4453621 For further information on the application procedure, please contact HR-secretary Noora Hämäläinen, e-mail noora.hamalainen(a)uef.fi, tel. +358 29 4458 302 Best regards, Mastaneh Torkamani Azar, Ph.D. Postdoctoral Researcher Interactive Technologies Research Group School of Computing University of Eastern Finland Email: mastaneh.torkamani(a)uef.fi https://sites.uef.fi/int/

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Postdoc position at UTSA
by Fidel Santamaria Feb. 16, 2022

Feb. 16, 2022

As part of a collaboration with the AFRL, the laboratory of Dr Santamaria at UTSA is looking for a talented postdoc to computationally study how fast thermal gradients impact synaptic mechanisms in dendritic spines. This will be part of a collaborative project between UTSA, AFRL, and other universities where experiments and simulations will combine to understand fundamental plasticity processes in neuronal synapses. The results will have important practical implications in neuroscience and biomedical engineering. The selected person will work on developing deterministic and stochastic models of how biochemical signals, involved in synaptic plasticity, are affected by thermal gradients. Interested individuals should send a CV and cover letter to Dr. Santamaria (fidel.santamaria(a)utsa.edu) The position is for one year, with the possibility of renewal. This position is only open to American citizens. Applicants must have experience with Python or Matlab and a background in physics or engineering is preferred. _______________________________________________________________________________ Fidel Santamaria, PhD Professor Department of Neuroscience, Development, and Regenerative Biology University of Texas at San Antonio www.utsa.edu/SantamariaLab<http://www.utsa.edu/SantamariaLab> Office: BSB 1.03.30 Tel +1(210) 458 6910

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Special issue of SIAP on the life sciences
by Kresimir josic Feb. 14, 2022

Feb. 14, 2022

SIAM Journal on Applied Mathematics (SIAP) invites contributions for a special section on the life sciences to highlight the use and development of mathematical models and analysis tools to address life sciences issues that are of true biological, medical, or industrial relevance. Papers submitted to this special section will be peer-reviewed, subject to the review criteria of SIAP. Papers will initially be handled by guest editors. The window for submissions runs from February 15 to June 30, 2022. For information about this issue please see: https://bit.ly/3LsPxcw <https://bit.ly/3LsPxcw>

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Third session of the Brains Through Time Reading Club
by manuel molano Feb. 14, 2022

Feb. 14, 2022

Dear all, I would like to bring to your attention the third session of the Brains Through Time Reading Club<https://sites.google.com/view/bbtreadingclub/home>! It will be on February 23rd (4pm CEST / 10 EST) and will include the participation of Leonard Maler<https://www.uottawa.ca/brain/people/maler-leonard>, Idoia Quintana-Urzainqui<https://twitter.com/idoiaeu>, Luis Puelles<https://scholar.google.com/citations?user=nIoLKVAAAAAJ&hl=en> and Paul Cisek<https://cisek.org/pavel/>. We will discuss the main ideas of the third chapter of the book: The origin of jaws and paired fins. You can register HERE<https://www.crowdcast.io/e/brains-through-time-3>. And in case you missed the previous sessions, you can watch them HERE<https://www.youtube.com/channel/UCDWFS3MBL9OhmpmL6mFmxsg/featured>.

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Computational Neuroscience Summer school in South Africa, DEADLINE TOMORROW
by Tim Vogels Feb. 14, 2022

Feb. 14, 2022

Dear all, This is a reminder that the application DEADLINE for the next IMBIZO is TOMORROW. If you, or anyone you know who would benefit from this opportunity please consider applying: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2022 12 August - 4 September 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 15th February 2022 The #isiCNI2022 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 15th February 2022 * Notification of results: late April 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Demba Ba - Harvard University Adrienne Fairhall - University of Washington Peter Latham - University College London Daphne Bavelier - University of Geneva Timothy Lillicrap - DeepMind Jonathan Pillow - Princeton University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Alex Pouget - University of Geneva TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - McGill University Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Sanjukta Krishnaopal - University College London Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/>, as well as the Wellcome Trust <https://wellcome.org/>, Deep Mind <https://deepmind.com/> and Wits University <https://www.wits.ac.za/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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[Jobs] Available Position: Professor in Artificial Intelligence (AI) at the University of Plymouth, UK
by Amir Aly Feb. 12, 2022

Feb. 12, 2022

Dear All, *Apologies for cross-posting* *The School of Engineering, Computing, and Mathematics (SECaM)*, at the University of Plymouth has a unique opportunity for an outstanding academic and their team to join the School and strengthen our research, leadership, and collaboration in *Artificial Intelligence*. This is an opportunity to establish senior academic direction and growth in this core area of Artificial Intelligence and to build on multi-disciplinary collaboration, supporting the School’s strategic objectives to create a critical mass of expertise in the area of Artificial Intelligence aligning directly with Industry 4.0 and future national and international research opportunities and skills development needs. You will work together with colleagues to create a vision for our existing Centre for Robotics and Neural Systems (CRNS), which builds on the world-leading and international excellence performance in the field of computer science, social and cognitive robotics, neural computation, and others. You will join a community of over 100 staff and 2000 students who work alongside one another in world-leading facilities. This synergistic mix of academic disciplines has research strength aligned with challenges of the fourth Industrial Revolution, clean growth, digitalization, autonomy, and health technology, helping to develop pioneering, innovative solutions to real-world problems that have a genuinely positive impact upon society. The deadline is 25th February. For more information and to apply, please visit: https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhrservice…> Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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Running your new lab: tips and tricks - Panel discussion - 10th March 2022, 12h GMT / 13h CET
by Sidarus, Nura Feb. 11, 2022

Feb. 11, 2022

Running your new lab: tips and tricks 10th March 2022 12h GMT / 13h CET Online To commemorate International Women's Day, we are delighted to host this practical panel discussion to provide support and inspiration for starting and running a lab. Save the date and do not miss the opportunity to share experiences with leading women scientists in cognitive sciences across Europe. Details and registration: https://www.eventbrite.co.uk/e/running-your-new-lab-tips-and-tricks-tickets… Our panel: * Prof Nivedita Mani, Professor of Psychology of Language, Georg-August-Universität Göttingen, Germany * Dr Jessie Ricketts, Reader in Psychology, Department of Psychology, Royal Holloway, University of London, UK * Prof Agnieszka Wykowska, Professor in Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia (IIT), Genova, Italy Organised and facilitated by Nura Sidarus (Royal Holloway University of London) & co-facilitated by María Jesús Maraver (Universidade de Lisboa). Supported by Women in Cognitive Science - Europe (WiCS-E) & Royal Holloway University of London. __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Department of Psychology Royal Holloway University of London | Egham | Surrey | TW20 0EX Office: Wolfson 248 | Tel: +44 (0) 1784 44 3717 Affiliate Member | Institute of Cognitive Neuroscience, UCL nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | www.nurasidarus.com<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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crowd-sourcing COSYNE post-review score sheet
by PERRINET Laurent Feb. 11, 2022

Feb. 11, 2022

Dear community COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are * 881 submitted abstracts * 215 independent reviewers * 2639 reviews If you have submitted an abstract (or several) you have recently received your scores. I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: https://forms.gle/p7eG1p6dJAkr4Cyg7 (Do one form per abstract.) For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results! Thanks in advance for your action, Laurent PS: if any similar initiative already exists, I'll be more than willing to receive feedback -- Laurent Perrinet - INT (UMR 7289) AMU/CNRS https://laurentperrinet.github.io/

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12 Postdoctoral positions - Ruhr University Bochum
by Vinita Samarasinghe Feb. 11, 2022

Feb. 11, 2022

*12 postdoctoral positions (min. 3 years) in Neuroscience, Psychology, and Philosophy of Mind*** The Ruhr University Bochum and the University of Duisburg-Essen are among Germany’s leading research universities. They draw their strength from both the diversity and the proximity of natural sciences, humanities, and engineering disciplines on coherent campuses. These highly dynamic settings enable researchers to work across traditional boundaries of academic subjects and faculties. *We are searching for advanced postdocs who ideally already have ca. 2 years of research experience*and want to continue their careers in an inspiring environment that fosters interdisciplinary approaches. We aim to install an outstanding group of postdocs, starting on 1^st of April 2022 at the earliest, who are tightly integrated with the research focus “THINK@Ruhr”. Details of this research program as well as all further procedural details are outlined on the website: _*www.thinkatruhr.de* <http://www.ThinkAtRuhr.de/>_. Deadline of application is February 27, 2022. *Applicants should have *an excellent PhD in a research topic related to neuroscience, psychology, or philosophy of mind and should already have published in high-ranking peer-reviewed journals. The postdoc positions offer a focus on research only (no teaching or administration). It is expected that the successful candidate will submit a grant proposal to establish her/his own research group (e.g. ERC Starting Grant, Emmy Noether Research Grant, Sofja Kovalevskaja Award, etc.) during the postdoctoral period. Candidate selection will be based on whether submission of such a proposal is a realistic goal in addition to usual measures of scientific excellence. The candidates will be associated with faculty members who are named on the website thinkatruhr.de. THINK@Ruhr will foster and support any research activities of the postdocs. Our universities offer attractive academic career track options and family friendly conditions. For more information including application procedure and contact information please visit https://thinkatruhr.de/what-we-offer/

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PostDoc position in Göttingen: Retina research and computational neuroscience
by Gollisch, Tim Feb. 11, 2022

Feb. 11, 2022

An exciting full-time postdoc position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The project centers on investigating information processing and neural coding in the neural network of the vertebrate retina, using a combination of experimental recordings with computational modeling and data analysis. The postdoc will contribute to our ongoing work under the ERC Consolidator Grant project CODE4Vision (https://www.retina.uni-goettingen.de/code4vision/) The work includes participation in recordings from the isolated retina (mostly mouse) with multielectrodes, using both wild-type retinas and optogenetic retina models of vision restoration therapy. Patch-clamp recordings are also a possibility. A strong focus will then be to combine these experiments with novel tools for data analysis and mathematical modeling, using cascade-type models (linear-nonlinear models and beyond), artificial neural networks, or machine-learning techniques to analyze the retinal network. Our research group is integrated into 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 and of the Collaborative Research Centers "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) and "Mathematics of Experiment" (https://www.uni-goettingen.de/en/628179.html) For more information about the research group, please visit the group's website: https://www.retina.uni-goettingen.de/. We are looking for a highly motivated scientist with a good background in electrophysiology or computational/theoretical neuroscience. Experience in both of these areas is a bonus, but not required. Experience in computer programming or in scripting of data analysis routines is also a plus. The position is for 2 years initially with the possibility for renewal. 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 about the group's work, 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.

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Groningen Spring School on Cognitive Modelling (4 to 8 April 2022)
by Thomas Feb. 11, 2022

Feb. 11, 2022

Date: 4 to 8 April 2022 Location: Groningen, the Netherlands Fee: € 300 (late fee after March 7 will be € 350) www.cognitive-modeling.com/springschool After an enforced two-year covid break, we are excited to announce the fifth Groningen Spring School on Cognitive Modeling (4 to 8 April 2022), with a great lineup of speakers. The Spring School will cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and discriminative learning. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches. In addition, this year we are offering a lecture series on dynamical systems, which should be interesting for anyone looking into modeling cognitive dynamics at some or other level of abstraction. We recommend this lecture series as an excellent combination with Nengo, for those interested in neuromorphic computing. The first day will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as hands-on tutorials to get practical experience at working with the paradigm. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms. Please feel free to forward the information to anyone who might be interested in the Spring School. The Spring School team PS: Please note that, due to its interactive character, the spring school will be held as an offline-only event. We will not offer the option for hybrid or online teaching. In case the spring school needs to be cancelled at the last minute after all, participants will receive a full reimbursement. ______________ ACT-R Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo) Website: http://www.nengo.ca Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. Discriminative learning and the lexicon: NDL and LDL Harald Baayen, Yu-Ying Chuang, and Maria Heitmeier University of Tuebingen NDL and LDL are simple computational algorithms for lexical learning and lexical processing. Both NDL and LDL assume that learning is discriminative, driven by prediction error, and that it is this error which calibrates the association strength between input and output representations. Both words’ forms and their meanings are represented by numeric vectors, and mappings between forms and meanings are set up. For comprehension, form vectors predict meaning vectors. For production, meaning vectors map onto form vectors. These mappings can be learned incrementally, approximating how children learn the words of their language. Alternatively, optimal mappings representing the endstate of learning can be estimated. The NDL and LDL algorithms are incorporated in a computational theory of the mental lexicon, the ‘discriminative lexicon’. The model shows good performance both with respect to production and comprehension accuracy, and for predicting aspects of lexical processing, including morphological processing, across a wide range of experiments. Since mathematically, NDL and LDL implement multivariate multiple regression, the ‘discriminative lexicon’ provides a cognitively motivated statistical modeling approach to lexical processing. In this course, we will show how comprehension and production of morphologically complex words can be modeled successfully with the "Discriminative Lexicon" model for a range of languages (Hebrew, Maltese, English, German, Dutch, Mandarin Chinese, Korean, Kinyarwanda, Estonian, and Finnish). We will discuss the kinds of form and meaning representations that can be set up, including form features derived from the speech signal for auditory comprehension and semantic features grounded in distributional semantics. Furthermore, we will provide a survey of the measures that can be derived from the model mappings to predict empirical response variables such as reaction times in primed and unprimed lexical decision, spoken word duration, and tongue movements during speaking. Finally, participants will receive some training in using the JudiLing package for Julia. This package provides optimized code for implementing and evaluating components of a "discriminative lexicon" for a given language. Dynamical Systems: a Navigation Guide Teacher: Herbert Jaeger (University of Groningen) This lecture series gives a broad overview over the zillions of formal models and methods invented by mathematicians and physicists for describing “dynamical systems”. Here is a list of covered items: Finite-state automata (with and without input, deterministic and non-deterministic, probabilistic), hidden Markov models and partially observable Markov decision processes, cellular automata, dynamical Bayesian networks, iterated function systems, ordinary differential equations, stochastic differential equations, delay differential equations, partial differential equations, (neural) field equations, Takens’ theorem, the engineering view on “signals”, describing sequential data by grammars, Chomsky hierarchy, exponential and power-law long-range interactions, attractors, structural stability, bifurcations, phase transitions, topological dynamics, nonautonomous attractor concepts. In the lectures I work out the connecting lines between these different models and methods, aiming at drawing the "big picture". — Thomas Tiotto, PhD Candidate, CogniGron - Groningen Cognitive Systems and Materials University of Groningen Nijenborgh 9, 9747 AG Groningen, The Netherlands Email: t.f.tiotto(a)rug.nl Profile: https://www.rug.nl/staff/t.f.tiotto/ Office: 5161 0318

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Postdoctoral Fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience
by Paolo Avesani Feb. 11, 2022

Feb. 11, 2022

A postdoctoral fellowship in Machine Learning for Brain Connectivity in Clinical Neuroscience We are pleased to announce the opening of one Postdoctoral Fellowship at the Neuroinformatics Lab, an interdisciplinary initiative between the Center for Mind/Brain Sciences (CIMeC) of the University of Trento, and the Center for Digital Health of Fondazione Bruno Kessler. The position is part of the “Neusurplan” project, an integrated approach to neurosurgery planning based on multimodal and longitudinal data. The goal is to pursue an integrated approach to pre-operative neurosurgical planning, combining structural and functional characterization of brain connectivity. The data driven strategy will take advantage of a unique dataset of intra-operative points of directed electrical stimulation and the related functional responses. In this project, the candidate will pursue research on machine learning methods for neuroimaging data analysis to study and characterize brain connectivity, with applications to longitudinal studies and clinical practice. The ideal candidate should have a mixed background in neuroimaging techniques and numerate disciplines, like computer science, engineering, physics, or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento (IT). The position is for a 2 year Postdoc Fellowship (May, 2022 - April, 2024). We welcome expressions of interest for this position, please contact Paolo Avesani (paolo.avesani@ <avesani(a)fbk.eu>unitn.it) and/or Emanuele Olivetti ( olivetti(a)fbk.eu) with your CV and a statement of intent. The University of Trento ranks among top Italian Universities ( https://www.unitn.it/en/ateneo/1636/rankings) Fondazione Bruno Kessler ranks first among the Italian research centers in Engineering and Computer Science ( https://magazine.fbk.eu/en/news/fbk-ranks-1st-in-italy-for-scientific-excel… ). To also consider a work/life balance, there is more than our passion for translational research. You can check these pointers for a flavor of life quality in Trentino: https://www.visittrentino.info/en; https://www.discovertrento.it/en A few papers related to the project are below: Bertò G,et al., (2021) Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation, Neuroimage, 224 https://doi.org/10.1016/j.neuroimage.2020.117402 Sarubbo S, et al., (2020) Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain, Neuroimage, 205 https://doi.org/10.1016/j.neuroimage.2019.116237 Astolfi P, et al., (2020) Tractogram filtering of anatomically non-plausible fibers with geometric deep learning, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) LNCS, vol 12267. Springer https://doi.org/10.1007/978-3-030-59728-3_29 Sarubbo S, et al., (2021) Planning brain tumor resection using a probabilistic atlas of cortical and subcortical structures critical for functional processing: a proof of concept, Operative Neurosurgery, 20(3), 175-183 https://doi.org/10.1093/ons/opaa396 -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Postdoc position - Computational Neuroscience - Ruhr University Bochum
by Vinita Samarasinghe Feb. 10, 2022

Feb. 10, 2022

Deadline Extended! Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time *Postdoctoral position* (TV-L E13) in Computational Neuroscience. The position starts on July 1, 2022 and is funded for three years. The successful applicant will work on a collaborative project (within the Collaborative Research Center “Extinction Learning” (SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/>)), together with experimentalists to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280, * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, * coordinate research with other participating projects. Candidates must have: * a doctorate degree in neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English, * the ability to work well in a team. Research experience in neuroscience would be a further asset. The position is third party funded and does not have any formal teaching duties attached. The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. For further information see www.rub.de/cns. The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. The Institute for Neural Computation 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. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to *samarasinghe(a)ini.rub.de*. In addition, at least two academic references must be sent independently to the above email address. The deadline for applications is *February 20, 2022*. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to network with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. If you have any questions please feel free to get in touch with Vinita Samarasinghe (contact below) -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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4 PhD/postdoc positions in ML for neuroscience, cognitive science and physics
by Ecker, Alexander Feb. 9, 2022

Feb. 9, 2022

We have four open positions for PhD students or postdocs in the Neural Data Science Lab at the Campus Institute Data Science (University of Göttingen) and the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. If you want to work with us on exciting projects developing machine learning methods for neuroscience, cognitive science and physics, please check out the three short project descriptions below and apply now. Details can also be found on our website: https://eckerlab.org/applications/ Application documents including a short motivation letter, CV, transcript of records (PhD students) and the contact details of two references should be sent to Alexander Ecker: ecker(a)cs.uni-goettingen.de<mailto:ecker@cs.uni-goettingen.de> We value diversity and equality. We therefore particularly encourage international and female applicants as well as applications from underrepresented groups or candidates with disabilities. ============ *(1) Data-driven multi-modal discovery of cell types in the neocortex* Understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience. In this project, we develop deep learning methods for data-driven identification of excitatory cell types in the visual cortex and to understand how a neuron’s morphology relates to its function. We will harness a unique large-scale functional anatomy dataset: a combination of electron-microscopy reconstructions at sub-micrometer resolution with two-photon functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. This project is funded by the European Research Council through an ERC Starting Grant and in tight collaboration with Andreas Tolias' lab at Baylor College of Medicine, Houston, TX, USA. Regular visits at our collaborator’s lab in Houston are possible/encouraged. ============ *(2) Action Capture Platform: Deep learning for movement analysis and action classification* Studying social interactions and the underlying cognitive processes in humans and nonhuman primates requires observing and quantifying their behaviour, including body and head orientation, both in interactive lab settings and in the wild. The long-term goal of this project is to develop methods for automated, video-based recognition, motion tracking, and pose estimation of individual nonhuman primates as well as recognition of action types and inter-agent interactions in groups of primates freely moving primaates. We strive for generalisation across a range of primate species and varying real-world environmental conditions without the need to acquire detailed keypoint annotations in every context. The automated behavioural analysis tools developed in this project constitute a key enabling technology for a Collaborative Research Center focused on studying the Cognition of Interaction. Role: Postdoc (preferred) or PhD student Your profile: Strong background in machine learning (deep learning in particular) and/or computer vision. Experience with congitive science is a strong plus, but not a requirement. This project is funded by the German Research Foundation (DFG) as part of Collaborative Research Center SFB 1528 – Cognition of Interaction and in collaboration with several groups at the German Primate Center: Julia Ostner, Claudia Fichtel, Julia Fischer ============ *(3) Holography reconstruction using deep learning* Digital in-line holography is a very powerful method to investigate particles in turbulent fluid flows such as atmospheric clouds, aerosols, etc. using the diffraction patterns of the particles illuminated by coherent light. Currently, wider use of the technique is held back both by a data processing bottleneck and the degradation in hologram quality in field measurements compared to laboratory experiments due to the physical environment. In this project, we will train machine learning algorithms to reconstruct holograms using a combination of real holograms from the lab and the field and simulated datasets. We will start with simple idealized Lorenz-Mie theory, but later extend to full wave-equation calculations including non-flat and non-Gaussian beams, realistic defects in the optical components, dirty optics, camera micro-lens arrays, pixel cross-talk and digitization errors, non-spherical particles including ice crystals, aggregate particles with different indices of refraction, non-perfect collimation, non-perfect alignment, spatial variation in the index of refraction of the air in the view volume due to temperature gradients, multi-scattering from multiple particles, etc. Role: Postdoc (preferred) or PhD student Your profile: Strong background in physics. Experience with machine learning (deep learning in particular) and computer vision is a strong plus, but not a requirement. This project is in collaboration with the lab of Eberhard Bodenschatz and funded by the Max Planck Institute for Dynamics and Self-Organization. ============ -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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On behalf of Michele Ferrante: New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors
by Reinoud Maex Feb. 9, 2022

Feb. 9, 2022

Begin forwarded message: From: Michele Ferrante <mferran1(a)gmu.edu<mailto:mferran1@gmu.edu>> Subject: New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors Date: 4 February 2022 at 11:04:45 GMT To: <comp-neuro-owner(a)neuroinformatics.be<mailto:comp-neuro-owner@neuroinformatics.be>> New Funding Opportunity: Neuro-Glia Computational Mechanisms Governing Complex Behaviors https://grants.nih.gov/grants/guide/notice-files/NOT-MH-22-090.html Purpose Background and Rationale This Notice of Special Interest (NOSI) encourages projects to experimentally test mechanistic hypotheses on the role of neuro-glia activity coupling in modulating complex behaviors. The human brain regulates complex behavior by processing information across ~170 billion cells, including ~86 billion neurons and ~84 billion glial cells. The influence of glial cell types (i.e., astrocytes, oligodendrocytes, and microglia) on neural activity may explain behavioral processes across broad spatio-temporal scales and hierarchies. For example, astrocytes may regulate cognitive functions by releasing gliotransmitters that activate hundreds of neuronal synapses at once, regulating system-level short-/long-term plasticity. Activity changes in neuro-oligodendrocytes networks may dynamically regulate myelin axon-sheathing, which in turn may affect action potential conduction, neuronal spike timing, and oscillations linked to cognitive/social/affective processes. Finally, microglia activity-dependent synaptic pruning may alter behaviorally activated neural networks over long time scales. Discovering how mechanistic dysfunctions in neuro-glia interactions may alter behavioral phenotypes relevant to mental health is a challenge with potentially high translational impact. Studying how neuro-glia activity coupling affects complex behavior has been challenging in part due to technical barriers. For example, until recently, the field lacked reliable and selective tools to manipulate glial cells. Biotechnology is now expanding the range of possible investigations into glial function by providing new methods necessary to record and manipulate glial cells with mouse lines and viral methods expressing designer reporters, sensors, and actuators of glial activity. Advances in metabolic imaging and genetically encoded activity measurements allow for simultaneous observation of interactions in neurons and glial activity. Tools are also available for selectively stimulating and silencing glia cells’ calcium signaling in-vivo through designer receptors exclusively activated by designer drugs (DREADDs) and optogenetics. In parallel, basic behavioral neuroscience has been rapidly advanced by integrating system-level neurotechnology with computational modeling. Computational models (e.g., reinforcement learning, drift-diffusion, Bayesian, biophysically realistic, dynamical systems, and deep neural networks) have directly linked behavioral parameters and the neural substrates that compute them, but the role of non-neuronal cells in these computations have been largely ignored. Thus, the integration of computational modeling approaches to investigate neuro-glia interactions could provide new perspectives on how they enable complex behavior and how they become altered in mental illnesses. Combining newly developed experimental methods for recording and controlling neuro-glia activity with rigorous computational approaches may inform mechanistic models of how neuro-glia interactions may compute or fail to compute cognitive and socio-affective functions relevant to neuropsychiatric disorders. Responsive Areas of Research Examples of research areas that may be included in applications submitted under this NOSI include, but are not limited to, the application of existing or novel: * Experimental methods to measure or control glial activity in behaving animals to elucidate the role of neuro-glia activity in cognitive or socio-affective behaviors. * Biologically inspired computational approaches to provide a mechanistic explanation of the consequences of neuro-glia interactions during cognitive or socio-affective behaviors. * Computational models able to map fine-grained cognitive or socio-affective behavioral parameters onto neuro-glia computations. * Neuro-glia computational principles or mechanistic knowledge derived from animal experiments in Basic Experimental Studies Involving Humans (BESH). Applications must include both: * A well-conceived scientific rationale, question, and/or hypothesis grounded in cognitive or socio-affective science, where neuro-glia activity may mechanistically explain a complex behavior. * Measurement or control neuro-glia activity during complex behavior. Applications proposing to exclusively investigate the effects of glial cells on behavior will be considered responsive to this NOSI, but applications including measurement and/or manipulation of both glia and neurons will be given higher priority. Applications Not Responsive to this NOSI * Applications that do not include all the items contained in the “applications must include” section above are not responsive to this NOSI and will not be reviewed. * Applications exclusively focused on in-vitro preparations - without an in-vivo behavioral component - are not responsive to this NOSI and will not be reviewed. * Applications proposing to apply animal models of mental disorders or use broad batteries of behavioral tests in animals to address constructs that are accessible only in humans by self-report, such as “depression” or “anxiety,” are non-responsive to this NOSI. For additional information on NIMH’s guidelines and priorities for animal neurobehavioral approaches applicants are strongly encouraged to review NOT-MH-19-053<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-19-053.html>. Note: NIMH only accepts mechanistic studies that meet NIH's definition of a clinical trial through PA-20-183<https://grants.nih.gov/grants/guide/pa-files/PA-20-183.html> and PA-20-184<https://grants.nih.gov/grants/guide/pa-files/PA-20-184.html>. Applications directed to NIMH for intervention development must be submitted through PAR-21-130<https://grants.nih.gov/grants/guide/pa-files/PAR-21-130.html>. For further information on NIMH clinical trial policies, see NOT-MH-20-105<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-20-105.html> and NOT-MH-19-006<https://grants.nih.gov/grants/guide/notice-files/NOT-MH-19-006.html>. Application and Submission Information This notice applies to due dates on or after June 5, 2022 and subsequent receipt dates through May 8, 2025. Submit applications for this initiative using one of the following funding opportunity announcements (FOAs) or any reissues of these announcement through the expiration date of this notice. * PA-20-184<https://grants.nih.gov/grants/guide/pa-files/PA-20-184.html> - Research Project Grant (Parent R01 Basic Experimental Studies with Humans Required) * PA-20-185<https://grants.nih.gov/grants/guide/pa-files/PA-20-185.html> - NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed) * PA-20-196<https://grants.nih.gov/grants/guide/pa-files/pa-20-196.html> - NIH Exploratory/Developmental Research Grant Program (Parent R21 Basic Experimental Studies with Humans Required) * PA-21-219<https://grants.nih.gov/grants/guide/pa-files/pa-21-219.html> - Joint NINDS/NIMH Exploratory Neuroscience Research Grant (R21 Clinical Trial Optional) * PA-21-235<https://grants.nih.gov/grants/guide/pa-files/pa-21-235.html> - NIMH Exploratory/Developmental Research Grant (R21 Clinical Trial Not Allowed) * PAR-21-175<https://grants.nih.gov/grants/guide/pa-files/PAR-21-175.html> - Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R01 Clinical Trial Optional * PAR-21-176<https://grants.nih.gov/grants/guide/pa-files/PAR-21-176.html> - Understanding and Modifying Temporal Dynamics of Coordinated Neural Activity (R21 Clinical Trial Optional) All instructions in the SF424 (R&R) Application Guide<https://grants.nih.gov/grants/how-to-apply-application-guide.html> and the funding opportunity announcement used for submission must be followed, with the following additions: * For funding consideration, applicants must include “NOT-MH-22-090” (without quotation marks) in the Agency Routing Identifier field (box 4B) of the SF424 R&R form. Applications without this information in box 4B will not be considered for this initiative. Applications nonresponsive to terms of this NOSI will not be considered for the NOSI initiative. Inquiries Please direct all inquiries to the contacts in Section VII of the listed funding opportunity announcements with the following additions/substitutions: Scientific/Research Contact(s) Michele Ferrante, Ph.D. National Institute of Mental Health (NIMH) Telephone: 301-435-6782 Email: ferrantem(a)nih.gov<mailto:michele.ferrante@nih.gov> Andrew Breeden, Ph.D. National Institute of Mental Health (NIMH) Telephone: 301-443-1576 Email: andrew.breeden(a)nih.gov<mailto:andrew.breeden@nih.gov>

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PostDoc position at UCL: endogenous brain fluctuations and decision making
by Tobias U. Hauser Feb. 8, 2022

Feb. 8, 2022

PostDoc position in real-time fMRI at Max Planck UCL Centre for Computational Psychiatry We are looking for a PostDoc to work on an exciting project investigating the role of endogenous brain fluctuations on decision making, funded by my ERC Starting Grant. In this project, we will investigate how endogenous, spontaneous fluctuations (aka resting-state fluctuations) influence behaviour. In our previous work (https://pnas.org/content/116/37/18732.short) we showed that moment-to-moment fluctuations affect risk taking behaviour. Here, we want to build on this and see how wide-reaching these effects are, and what the pharmacological bases of these effects are. We are looking for someone with expertise in advanced functional neuroimaging and preferably experience in real-time fMRI. We think that a postdoc with advanced understanding of time-series analyses and in-depth fMRI experience would be best suited for this position. Even though the general topic is set, own ideas and project ideas will very much appreciated & encouraged! The position is for 2 years (at the first instance) and will be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging, located in Central London. If you have further questions, please contact Tobias Hauser (t.hauser(a)ucl.ac.uk) To read more about the research group, please see https://devcompsy.org/ Job advert here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTg4MjA4NSZ2dF90… -- Play smartphone games and help us understand the brain: www.brainexplorer.net Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk www.tobiasuhauser.com www.devcompsy.org

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14 Open positions in neurotechnology R&D
by Eduardo López-Larraz Feb. 7, 2022

Feb. 7, 2022

Bitbrain is a neurotechnology company that combines neuroscience, artificial intelligence, and hardware to develop innovative products. We are currently looking for 14 highly talented and enthusiastic individuals to join our R&D team. The profiles vary across the entire R&D pipeline of neurotechnology applications in healthcare: neuro/biomedical engineering, electronic engineering, software engineering, computer science, data science, project management, clinical neuropsychology, neuroscience lab assistants. More information and application procedure: https://www.bitbrain.com/careers -- Eduardo López-Larraz, PhD Research Scientist R&D Department eduardo.lopez(a)bitbrain.com Twitter <https://twitter.com/Edu_Lo_L> Scholar <https://scholar.google.com/citations?user=wLM67tAAAAAJ> LinkedIn <https://www.linkedin.com/in/edulop> www.bitbrain.com +34 931 444 823 info(a)bitbrain.com Facebook <https://www.facebook.com/BitbrainEN> Twitter <https://twitter.com/Bitbrain_EN> LinkedIn <https://www.linkedin.com/company/2070341>

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Fully funded PhD position (4 years)
by Michael Biehl Feb. 7, 2022

Feb. 7, 2022

Apologies for multiple postings *Three weeks left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications (before March 1) are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. ------------------------------------------------------------ Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Cognitive & Computational Neuroscience postdoc
by Peter Dayan Feb. 5, 2022

Feb. 5, 2022

Cognitive and Computational Neuroscientist Postdoctoral position to understand the function of long range connectivity in human cognition We are seeking a new colleague to work on a collaborative project studying human cognition between the laboratories of Professor Linda Richards<https://neuroscience.wustl.edu/people/linda-richards-phd/> at Washington University in St. Louis and Professor Peter Dayan<https://www.mpg.de/12309370/biological-cybernetics-dayan> at Max Planck Institute for Biological Cybernetics in Tubingen. The position will be based at Washington University in St. Louis. We are studying how people with corpus callosum dysgenesis, a major change in their global brain wiring connectivity, are able to process and integrate information during tasks involving decision making, social intelligence and memory. We are seeking a creative scientist with a background in cognitive neuroscience and computational neuroscience to develop analysis tools and pipelines and new models of cognitive function that will help guide our experimental approaches. Applicants should submit their CV and a cover letter explaining their background and interest in the position and working in both laboratories by April 4th, 2022. Please see job posting<https://wustl.wd1.myworkdayjobs.com/en-US/External/job/Washington-Universit…> for additional information. Linda J. Richards AO, FAA, FAHMS, PhD Edison Professor and Chair, Department of Neuroscience Director, McDonnell Center for Cellular & Molecular Neurobiology Washington University School of Medicine MSC 8108-12-8, 660 S. Euclid Avenue, St. Louis, MO 63110 Office Phone +1 314 362 4198; Cell Phone +1 314 532 7187 Linda.Richards(a)wustl.edu<mailto:Linda.Richards@wustl.edu> (My pronouns<https://www.mypronouns.org/>: she, her, hers)

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Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 4, 2022

Feb. 4, 2022

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 investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. Please send the required documents if you are interested in. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable 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, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

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Postdoc Position In Austin Texas
by Franco Pestilli Feb. 2, 2022

Feb. 2, 2022

Dear Friends and colleagues We are looking for an enthusiastic you fellow to join us on a 2-year project funded by an NIH R01 by the BRAIN initiative. The project focuses on open science and data sharing standards. We are set to extend the Brain Imaging Data Structure (BIDS) to cover brain connectivity data. Here you can find a full description of the project. BIDS has become an exciting standard and the community is growing large: https://bids.neuroimaging.io/ A few papers relevant to the project are below: https://www.nature.com/articles/sdata201644 https://www.nature.com/articles/s41597-019-0104-8 https://www.nature.com/articles/sdata2018110 https://www.nature.com/articles/s41597-019-0105-7 https://www.biorxiv.org/content/10.1101/2021.06.16.448390v1 https://www.medrxiv.org/content/10.1101/2021.10.22.21265382v3 We would appreciate it if you could share this email with your trainees and younger colleagues. The project has a broad reach and could be a great base for developing further projects related to human neuroscience, neuroinformatics, computer science and machine learning depending on the interest of the applicant. Best regards, Project Leader Franco Pestilli co-Investigators Russ Poldrack, Stanford University, California, USA Ariel Rokem, University of Washington Seattle, Washington USA Theodore Satterthwaite, University of Pennsylvania, Pennsylvania, USA Other Personnel. Franklin Feingold, Stanford University, California, USA Eugene Duff, Imperial College, London, UK Cyril Pernet, Neurobiology Research Unit, Denmark Robert Smith, Florey Institute, Australia Oscar Esteban, Lausanne, Switzerland Matt Cieslak, University of Pennsylvania, Pennsylvania, USA *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

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CRNS Talk Series (2) - Live Talk by Dr. Rachid Alami - CNRS, France
by Amir Aly Feb. 2, 2022

Feb. 2, 2022

Dear All * Apologies for cross posting* The *Center for Robotics and Neural Systems* (CRNS) is pleased to announce the talk of *Dr. Rachid Alami* who is a research director and team leader at the *National Center for Scientific Research* (CNRS), France on Wednesday, February 9th from *11:00 am* to *12:30* *pm* (*London time*) over *Zoom*. >> *Events*: The CRNS talk series will cover a wide range of topics including social and cognitive robotics, computational neuroscience, computational linguistics, cognitive vision, machine learning and AI, and applications to autism. More details are available here: https://www.plymouth.ac.uk/research/robotics-neural-systems/whats-on >> *Link for the next event (No Registration is Required)*: Join Zoom Meeting https://plymouth.zoom.us/j/98559430652?pwd=aDBpNWtZd3FZKzNVQ0FMbndxWjdWdz09… >> *Title of the talk*: Models and Decisional issues for Human-Robot Joint Action *Abstract*: This talk will address some key decisional issues that are necessary for a cognitive and interactive robot which shares space and tasks with humans. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. The system is comprehensive since it aims at dealing with a complete set of abilities articulated so that the robot controller is effectively able to conduct in a flexible and fluent manner a human-robot joint action seen as a collaborative problem solving and task achievement. These abilities include geometric reasoning and situation assessment based essentially on perspective-taking and affordances, management and exploitation of each agent (human and robot) knowledge in a separate cognitive model, human-aware task planning and interleaved execution of shared plans. We will also discuss the key issues linked to the pertinence and the acceptability by the human of the robot behaviour, and how this influence qualitatively the robot decisional, planning, control and communication processes. >> If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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Entropy Special Issue : Formal Analysis of Deep Artificial Neural Networks
by Friedhelm Schwenker Feb. 1, 2022

Feb. 1, 2022

Dear Researchers, The Entropy Journal (https://www.mdpi.com/journal/entropy) is currently running a Special Isuue on Formal Analysis of Deep Artificial Neural Networks <https://www.mdpi.com/journal/entropy/special_issues/DANN> (Deadline: *31 May 2022) *This Special Issue welcomes original research papers on the analysis of ANNs based on mathematically founded methods in general. Review articles describing the current state of the art of ANNs in the aforementioned contexts are highly encouraged. All submissions to this Special Issue must include substantial theoretical aspects of ANN research.* * Keywords * ANN architectures and learning in approximation and complexity theories * Cost functions and constraints in information-theoretic learning algorithms for ANNs * Complexity of deep, recurrent, or quantum ANN learning * Information-theoretic principles for sampling and feature extraction * Analysis of learning based on information-theoretic methods (e.g., information bottleneck approach) in deep, recurrent, or quantum ANNs * Applications of ANNs based on information-theoretic principles or quantum computing * Theoretical advances in quantum ANNs Please contact us: Edmondo Trentin <trentin(a)dii.unisi.it> or Friedhelm Schwenker <friedhelm.schwenker(a)uni-ulm.de> if you are interested in submitting your work. A number of waivers / discounts is available for interested authors. Best wishes, Friedhelm Schwenker Edmondo Trentin -- Prof. Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker@uni-ulm.de www:http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

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FLAIRS-35 May 15-18, 2022, Jensen Beach, Florida, Paper Deadline
by David B Feb. 1, 2022

Feb. 1, 2022

FLAIRS-35 Special Track on Neural Networks and Data Mining The Florida Artificial Intelligence Research Symposium (FLAIRS) is an interdisciplinary conference which features double-blind reviewing, free tutorials, and a warm and sunny venue. Abstract Due Date: February 7, 2022 Submission Due Date: February 14, 2022 Conference: May 15-18, 2022 Jensen Beach, Florida Website: https://sites.google.com/view/flairs-35-nn-dm-track/home URL: https://www.flairs-35.info/call-for-papers Papers are being solicited for a special track on Neural Networks and Data Mining at the 35th International FLAIRS Conference (https://www.flairs-35.info/home) 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): 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; 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 Logic applications 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; 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; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. Questions regarding the track should be addressed to: David Bisant at bisant(a)umbc.edu, Steven Gutstein at s.m.gutstein(a)gmail.com, or Bill Eberle at weberle(a)tntech.edu.

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Positions in neuro-AI at the Centre for Neural Dynamics
by Richard Naud Jan. 31, 2022

Jan. 31, 2022

Frontiers of neuro-AI Primary Supervisor: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, Faculty of Medicine, Faculty of Science Secondary supervisor: Prof Jean-Claude Béïque<https://www.uottawa.ca/brain/people/beique-jean-claude>, Katalin Toth<https://med.uottawa.ca/cellular-molecular/people/toth-katalin> University of Registration: University of Ottawa, Faculty of Medicine<https://med.uottawa.ca/graduate-postdoctoral/> Project outline: Multiple Ph.D. and postdoctoral positions are available in the Neural Coding lab. The main goal of our research group is to understand how properties of neurons and synapses allows the brain to learn to complete difficult tasks. We are particularly interested in how cognitive-level functions - as formalized by artificial intelligence - can be implemented by neurons in particular systems [1-2]. In particular, our work explores the relationship between properties of cortical neurons and the diverse methods of credit assignment that have been used to train artificial neural networks. We are also interested in the relationship between mood-related networks (serotonergic centers, dopaminergic centers) and types of reinforcement learning. To study this, we perform computational modeling closely related to experimental data. Our work typically involves the development of both data analysis methods and the study of simulated neuronal networks. For an example of previous work see Ref [1-4]. The PhD project will be well suited to candidates ideally having experience in scientific programming, mathematical modeling, phsyics, mathematics, computer science or similar disciplines. The research projects require a meaningful navigation of electrophysiological, opto-physiological, behavioral and anatomical data. Programming skills (preferably Python) skills are highly desirable and knowledge of Machine Learning/Deep Learning or numerical simulation of physical systems is a plus. We are committed to working in an inclusive environment that encourages diversity while ensuring that everyone is treated equally. Our team is down-to-earth, diverse, inclusive and very dynamic. Please write to Dr. Richard Naud if you have questions. References: 1. Payeur, Alexandre, et al. "Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits." Nature Neuroscience 24.12 (2021): 1780-1780. 2. Harkin, Emerson F., et al. "Temporal derivative computation in the dorsal raphe network revealed by an experimentally-driven augmented integrate-and-fire modeling framework." bioRxiv (2021). 3. Harkin, E. F., et al. "Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation." Neuroscience (2021). 4. Lynn, Michael B., et al. "A Synthetic Likelihood Solution to the Silent Synapse Estimation Problem." Cell reports 32.3 (2020): 107916. Contact: Dr Richard Naud<http://www.neurodynamic.uottawa.ca/neuralcoding/index.html><https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/supervi…>, University of Ottawa with up-to-date CV and research statement.

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DENDRITES 2022 call for abstracts
by Yiota Poirazi Jan. 31, 2022

Jan. 31, 2022

DENDRITES 2022 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 23-26 May 2022 http://meetings.embo.org/event/20-dendrites Dear Colleagues, We are pleased to announce the solicitation of abstracts for short oral or poster presentations at the EMBO Workshop on DENDRITES 2022, which will take place in Heraklion, Crete on 23-26 May 2022. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. Please register (no payment required) and submit your abstract online at: http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 1st, **2022* Notifications will be provided by February 28th, 2022 Registration payment due by April 15th, 2022 Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you in person at DENDRITES 2022! The organizers, Yiota Poirazi, Kristen Harris, Matthew Larkum, Michael Häusser -- 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 /-391238 Fax: +30 2810-391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

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Three Postdoc Openings at the Krembil Computational Neuroscience hub in Toronto (Canada)
by De Pitta, Maurizio Jan. 30, 2022

Jan. 30, 2022

Three postdoctoral positions are available in the Computational Neuroscience hub of the Krembil Research Institute, University Health Network in Toronto (see https://kcnhub.com/) **Postdoc position at the Neuron-Glia Interactions Lab (PI: Dr. Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca) The postdoc project aims to reconstruction, modeling and simulation of astrocytes by new techniques that leverage cross-fertilization of biophysical modeling, topology, connectomics, and statistical classification. The ideal candidate should be strongly committed to multidisciplinary research, and have a strong background in computational biology with excellent programming skills. Strong analytical skills and essential knowledge of astrocyte biology are preferred. The position is for 1 year with the possibility to extend it for at least two more years depending on performance. For more info: https://kcnhub.com/jobs/computational-characterization-of-spatiotemporal-ca… . ** Two Postdoc positions at the Neural Systems & Brain Signal Processing Lab (NSBSPL, PI: Dr. Milad LANKARANY, milad.lankarany(a)uhnresearch.ca) Two postdoc positions are available at NSBSPL to develop a translational computing framework that allows to identify the relationship between electrical stimulation (e.g., deep brain stimulation) and neuronal responses at the cellular level, decipher their mechanistic pathways at the circuit level, and link neural activities to behavior and cognition. Both positions are for 1 year with the possibility to extend for at least one more year depending on performance. Requirements and details for each position are provided at https://kcnhub.com/jobs/computational-neuroscience-postdoc-position & https://kcnhub.com/jobs/neural-data-science-postdoc-position . Applications should include a short (<2 pages) letter of interest including a research statement, an updated CV, and the contact details of three academic advisors. The application should be provided as ONE SINGLE PDF and submitted to the PI of interest with the subject line “[Postdoc Application] <Full Name>” Contact details: Maurizio DE PITTA, maurizio.depitta(a)uhnresearch.ca Milad, LANKARANY, milad.lankarany(a)uhnresearch.ca Screening of applications will start by February 2022 and will continue until the position is filled. For more details on the individual positions, visit https://kcnhub.com/jobs/category/postdoc. The Krembil Research Institute (Krembil) is the research arm of the Toronto Western Hospital (TWH) and one of the seven research institutes at the University Health Network (UHN). Krembil’s research programs focus on the brain, the eye and arthritis. Its laboratories are located at the Krembil Discovery Tower and at TWH’s Main, McLaughlin and Fell Pavilions. Prior to November 13, 2015, Krembil was known as the Toronto Western Research Institute. For more information: https://www.uhn.ca/Research/Research_Institutes/Krembil. The Krembil Brain Institute (KBI) at Toronto Western Hospital is home to one of the world’s largest and most comprehensive teams of physicians and scientists uniquely working hand-in-hand to prevent and confront problems of the brain and spine. One in three Canadians will experience a brain-related condition such as Parkinson’s, Alzheimer’s or stroke in their lifetime. Through state-of-the-art patient care and advanced research, the Krembil Brain Institute works relentlessly to find new treatments and cures. The Krembil Computational Neuroscience ‘hub’ (KCNhub) is hosted on the fourth floor of the Krembil Discovery Tower. It constitutes a grouping of Krembil scientists doing computational neuroscience research on various topics that include fundamental and translational neuroscience, bioengineering and biophysics.The KCNhub interfaces with the strong, local neuroscience research environment at the KBI and the University Health Network, and originated from the need to build theoretical and mathematical neuroscience expertise directly interacting with stakeholders of the adjacent Toronto Western Hospital. ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. 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special issue: What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories
by Claudius Gros Jan. 29, 2022

Jan. 29, 2022

Dear all It is a pleasure to invite viewpoints and short reviews (10 pages max) on What AI and Neuroscience Can Learn from Each Other: Open Problems in Models and Theories Cognitive Computation, special issue https://www.springer.com/journal/12559/updates/20028534 submissions deadline: 15 April 2022 edited by Asim Roy, Claudius Gros, Juyang Weng, Jean-Philippe Thivierge, Tsvi Achler, Ali A. Minai. Aim and Motivation: Arguments about the brain and how it works are endless. Despite some conflicting conjectures and theories that have existed for decades without resolution, we have made significant progress in creating brain-like computational systems to solve some important engineering problems. It would be a good idea to step back and examine where we are in terms of our understanding of the brain and potential problems with the brain-like AI systems that have been successful so far. For this special issue of Cognitive Computation, we invite thoughtful articles on some of the issues that we have failed to address and comprehend in our journey so far in understanding the brain. We aim for rapid peer-reviews by experts (about two weeks) for all selected submissions and plan to publish the special issue papers on a rolling basis from early 2022. We plan to publish a collection of short articles on a variety of topics that could be asking new questions, proposing new theories, resolving conflicts between existing theories, and proposing new types of computational models that are brain-like. We are looking forward to your submission! Clauidus 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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In-person event: TEX2022 - Bringing together Predictive Processes and Statistical Learning
by Yamil Vidal Jan. 28, 2022

Jan. 28, 2022

TEX2022: Bringing together Predictive Processes and Statistical Learning After our online meeting last year, this summer we want to welcome you for an in-person meeting in Trieste, Italy. The event will consist of morning lectures by the invited speakers and afternoon talks for which there will be an open call for abstracts. There will also be plenty of time for social activities and informal discussions. While all presentations will be delivered in person, it will also be possible to attend online. Confirmed Invited Speakers so far: Caspar Schwiedrzik, Floris de Lange, Lucia Melloni, Maria Chait, Nicola Molinaro and Ram Frost Where: International School for Advanced Studies (SISSA), Trieste, Italy. When: During the week of the 18th of July Please spread the word, save the dates and stay tuned for further details. We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

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DEADLINE Feb 15 for the Computational Neuroscience Imbizo in Cape Town, South Africa
by Tim Vogels Jan. 26, 2022

Jan. 26, 2022

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let it swoosh by to join a diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2022 12 August - 4 September 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 15th February 2022 The #isiCNI2022 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 15th February 2022 * Notification of results: late April 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Daphne Bavelier - University of Geneva Timothy Lillicrap - DeepMind Jonathan Pillow - Princeton University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Alex Pouget - University of Geneva TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - McGill University Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Sanjukta Krishnaopal - University College London Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/>, as well as the Wellcome Trust <https://wellcome.org/>, Deep Mind <https://deepmind.com/> and Wits University <https://www.wits.ac.za/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory
by Stacie Warren Jan. 25, 2022

Jan. 25, 2022

Hi, Posting for a colleague. Please direct any questions to Mai-Phuong Bo, lab manager, at maipbo(a)stanford.edu. Director of Scientific Research: Stanford Cognitive & Systems Neuroscience Laboratory Stanford University The Stanford Cognitive & Systems Neuroscience Laboratory ( http://scsnl.stanford.edu) in the Department of Psychiatry and Behavioral Sciences is seeking a Director of Scientific Research. This is an exciting opportunity to manage the lab’s ongoing research on human brain function and dysfunction across the lifespan. The Director of Scientific Research will play a key role in day-to-day research operations of the lab and manage staff activities on funded research projects, including study and protocol design, data collection, data management & analysis, manuscript writing, and dissemination of scientific findings. The successful candidate will also take a lead in the development, writing, and submission of grant proposals across a range of funding mechanisms, including NIH, NSF, and private philanthropic foundations. The Director of Scientific Research will report to the Lab Director and Principal Investigator. This is an excellent role for an advanced postdoc with research experience in cognitive neuroscience, strong writing and analytical skills, excellent organizational and leadership skills, the ability to communicate clearly and effectively, and a passion for academic research. Interested applicants should submit ( https://careersearch.stanford.edu/jobs/director-of-scientific-research-13316) a CV and a cover letter describing qualifications for the position. Duties include: • Develop and implement standard operating procedures for effectively collecting, managing, and disseminating scientific research. • Oversee preparation and managing submission of IRB and regulatory protocols and reports to funding agencies. • Write and edit content for grant proposals, peer-reviewed publications, and other program activities under the general direction of PI. · Assist with the development of research grants, suggest new funding opportunities, write portions of grants, and/or summarize data for grant support. • Facilitate publication of research papers and reports. • Oversee and administer research activities by evaluating academic programs, making recommendations that impact policies and programs, and coordinating and implementing changes. • Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program. • Develop, implement, administer, and evaluate large-scale research programs in clinical neuroscience, psychiatry, and pediatric neuroimaging. • Represent the lab as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. • Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings. • Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spend. Develop strategic plans, budgets, and set timelines with the research team. • Oversee training of research staff and students. • - Other duties may also be assigned DESIRED QUALIFICATIONS: • Ph.D. with focus on cognitive, developmental, clinical, or experimental psychology or neuroscience, with 2 years of relevant postdoctoral research experience. • Track record in successful grant writing. • Strong publication record. • Ability to plan, organize, and manage the daily activities and operations of complex research projects in a University setting. • Ability to provide necessary leadership, including helping to maintain a high morale among co-workers and keep projects on track over an extended period. • Excellence in both written and verbal communication. • Strong interpersonal skills for communicating with schools, parents, children, and community officials who will be involved or contacted over the course of the project. • Ability to lead project teams and maintain good working relationships with supervisors, coworkers, and research subjects. • Ability to work efficiently, meet deadlines, and complete tasks with a high degree of accuracy with little oversight. -- Stacie L. Warren, Ph.D. Associate Professor Department of Psychology Palo Alto University 1791 Arastradero Road Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

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Postdoc: lucid dreaming via brain stimulation, VR, EEG, ML
by Martin Dresler Jan. 25, 2022

Jan. 25, 2022

Hi, for a collaboration between the Donders Institute and Bern University on the induction of lucid dreaming, we are looking for a postdoc with experience in (ideally: several) the following fields: brain stimulation, VR, HD-EEG, machine learning, sleep. Deadline soon, further information: https://dreslerlab.org/postdoc-position Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Special Issue on Computational Neuroscience in the Journal of Physiology
by Michael Okun Jan. 24, 2022

Jan. 24, 2022

Dear Colleagues, We would like to announce a special issue of the Journal of Physiology focused on computational neuroscience, to be published in commemoration of the 70th anniversary of the publication of the Hodgkin-Huxley model and to celebrate the 600th volume of the journal. The special issue will include a number of invited reviews covering synaptic and network models, with further information available in the issue's advert flyer: https://physoc.onlinelibrary.wiley.com/pb-assets/assets/14697793/Affiche_Co… To complement the above reviews, the journal seeks submissions of original research articles in all areas of theoretical and computational neuroscience. The submission deadline is 15th of April 2022. Additional details on the special issue can be found in the official announcement on the journal's webpage: https://physoc.onlinelibrary.wiley.com/hub/journal/14697793/resources/call-… Thank you, Katalin Toth and Michael Okun

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[3rd BCI-UC] Final program online
by Philipp Raggam Jan. 24, 2022

Jan. 24, 2022

Dear colleagues, We are very excited to announce that the final program of the 3rd Brain-Computer Interface Un-Conference (BCI-UC) is now online: https://bciunconference.univie.ac.at/3rd-bci-uc/ All presentations are streamed live and free-of-charge on January 27th (Thursday), 2022, from 03:00 pm to 09:00 pm (CET) via: https://www.crowdcast.io/e/3rd-brain-computer-interface-unconference/1 The 3rd BCI-UC features keynotes by *Cynthia A. Chestek* on "Neural Interfaces for Controlling Finger Movements" and by *Thorsten O. Zander* on "The Age of Neuroadaptivity". In addition, we have seven contributed presentations and one panel discussion on a broad range of topics for BCI technologies. We are looking forward to seeing you all at the 3rd BCI-UC! Best regards, The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria

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Update IMRF 2022 in Ulm
by Marc Ernst Jan. 24, 2022

Jan. 24, 2022

Dear colleagues and friends of IMRF, This is just a quick update on the International Multisensory Research Forum (IMRF), scheduled for July 4-7 2022 in Ulm, Germany. ( https://cops.ifp.uni-ulm.de/imrf2022/ <https://cops.ifp.uni-ulm.de/imrf2022/> ) We are monitoring the current pandemic situation very closely and as you are aware, predictions into the longer future have been proven to be very difficult. This uncertainty is why we did not update you earlier. Anyway, here is the current status of our planning and thinking: We are still very determined to host IMRF in the summer of 2022 as an in presence meeting. Whether or not there will be a hybrid addition to IMRF which would allow for also online participation, is not yet determined, as any hybrid format is a huge organisational challenge. To make it easier for you to decide whether or not you can travel to Germany in summer 2022, we have tried to post the deadlines for abstract submission and registration as late as possible. Currently, the abstract submission deadline is set to April 01, the date by which you can also change and adapt your already submitted abstract (and symposium contributions). The review process will start after this date. We strife to keep the already accepted symposia and ask the symposium organisers / attendees to update their information accordingly if individual talks need to be adapted. Please get in contact with us by the submission deadline in case of necessary substitutions, The early registration deadline is set to May 20 giving us a bit more than a month to plan with the number of participants. Given the current pandemic regulations in Germany to not pack rooms as densely as we used to, we may have to limit the number of participants to something around 180 to 200 people. However, as you are aware, the situation and thus rules keep changing. In any case it cannot hurt to register early to secure your space, as limits, if they apply, will be done on a first come first serve basis. Here is a link to the current regulations in the state of Baden Württemberg, which is permanently adapted as the situation changes: https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron… <https://www.baden-wuerttemberg.de/en/service/aktuelle-infos-zu-corona/coron…> We will keep you posted as soon as we have more information. Stay safe and healthy - best, Marc --------------------------------------------------------- Prof. Dr. Marc Ernst Applied Cognitive Psychology Faculty for Computer Science, Engineering & Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room nr.: 43.3.103 mail: marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de> phone int.: +49-(0)731-50 320 50 phone ext.: +49-(0)731-50 356 27 sekr: +49-(0)731-50 320 51 mobile: +49-(0)152-22 543 156

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CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)
by Amir Aly Jan. 23, 2022

Jan. 23, 2022

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (GMT) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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CRNS Talk Series - Live Talk by Dr. Alessandra Sciutti - Italian Institute of Technology (IIT)
by Amir Aly Jan. 23, 2022

Jan. 23, 2022

**Apologies for cross-posting ** Dear All, The Center for Robotics and Neural Systems (CRNS <https://www.plymouth.ac.uk/research/robotics-neural-systems>) at Plymouth University is pleased to announce the talk of *Dr. Alessandra Sciutti* from the *Italian Institute of Technology* (IIT) on Wednesday February 2nd at *11:00 am - 12:30 pm (BST) *over *Zoom*. Registration is* required* and free: Registration Form <https://docs.google.com/forms/d/e/1FAIpQLSfPms0aWvXSD3xOg3eBEUMt-6vKq-yETd9…> . *Title of the talk*: Cognitive robots for more humane interactions *Abstract*: A cognitive robot is a robot capable to adapt, predict, and pro-actively interact with the environment and communicate with the human partners. Our research leverages on the use of the humanoid robot iCub to test how to build such a cognitive interactive agent. We model the minimal skills necessary for cognitive development, such as the visual features that enable to recognize the presence of other agents in the scene, their internal state and their responses to robot behavior. In a dual approach, we are trying to understand how to modulate robot movement to make it more transparent and understandable to non-expert users. As a next step, we are focusing on the development of simple cognitive architectures that could integrate the sensory and motor capabilities developed in isolation together with memory, internal motivation and learning mechanisms, to achieve personalization and adaptation skills. We believe that only a structured effort toward cognition will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner. --- If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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We are recruiting a post-doc to work on a project using real-time fMRI neurofeedback
by Steve Weisberg Jan. 21, 2022

Jan. 21, 2022

Hi all, Natalie Ebner and I are recruiting a postdoctoral researcher to work on real-time fMRI neurofeedback in the domain of spatial navigation in aging! If you (or someone you know) is interested, please get in touch! The Spatial Cognition and Navigational Neuroscience (SCANN <https://scannlab.psych.ufl.edu/>) and Social-Cognitive and Affective Development <https://ebnerlab.psych.ufl.edu/> Laboratories at the University of Florida are hiring a postdoctoral researcher who will lead real-time fMRI neurofeedback experiments related to the cognitive neuroscience of spatial navigation in aging and age-related pathology. The position will be co-supervised by Dr. Steven Weisberg and Dr. Natalie Ebner, in collaboration with Dr. Dawn Bowers. The initial position is a 2-year appointment, with subsequent renewals depending on funding availability. Preferred start date is *March 1, 2022,* but is negotiable. Salary will be paid at the NIH postdoctoral levels. *If interested, please contact Steven Weisberg *(stevenweisberg(a)ufl.edu) *and Natalie Ebner *(natalie.ebner(a)ufl.edu) *by email and include a CV and two letters of recommendation*. We will accept applications until the position is filled. Please note, if you do not meet the preferred qualifications or are not sure about position fit, *email us anyway*! *Required Qualification: *PhD in psychology, neuroscience, computer science, biomedical engineering, or a related field. *Preferred Qualifications: *(1) Experience with real-time fMRI neurofeedback; (2) Experience with fMRI design and analysis (including FSL, Matlab, or Python tools); (3) Experience with cognitive aging and/or Alzheimer’s disease is a plus. -- --------------------------------------------- *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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Neuroscience data analyst at the European Neuroscience Insitute in Göttingen
by googlemail Jan. 21, 2022

Jan. 21, 2022

The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), as well as techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g. through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments including the opportunity to develop and publish, e.g. analytical tools that arise from this work. • The applicant should possess a university degree (minimum M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. • The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant should also demonstrate strong analytical skills. Knowledge of novel and emerging analysis techniques is highly desirable. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups’ scientific process is expected. • The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. • In addition, contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. • Utilize programming languages such as Python, Matlab and/or C++. • A good command of English is mandatory. The University Medical Center Göttingen takes flexible account of the individual design of working hours at the workplace. It is interested in implementing the wishes of its employees as far as possible. If you are interested in this job and have specific questions about working hours, please contact us. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. The position is financed until December 31st, 2024 with extension options. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application (CV, letter of motivation) via e-mail as a single PDF-file to j.clemens(a)eni-g.de. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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Two postdoc positions in computational and systems neuroscience
by googlemail Jan. 21, 2022

Jan. 21, 2022

Two postdoc positions are available in the lab of Jan Clemens at the European Neuroscience Institute Göttingen, Germany. A major focus of the lab is discovering how sensory information is processed and integrated to drive behavior. We combine high-throughput behavioral assays, machine learning (pose tracking), computational modelling, and modern systems neuroscience tools (calcium imaging and optogenetics). The postdocs to be hired will focus on how different sensory modalities are integrated to organize social interactions in fruit flies, with the goal of identifying the neural substrates and computations driving social behavior. We are going to combine a variety of state-of-the-art techniques, including automated behavioral analyses, optogenetics, in-vivo two photon imaging, and computational modelling. The postdocs will have the opportunity to learn experimental and computational skills in the lab. Your profile: • PhD in neuroscience or biology, physics, engineering, computer science or equivalent. • Experience with at least one of these techniques: calcium imaging, electrophysiology, Drosophila genetics and behavior, computational modelling. • A track record of scientific publications or conference presentations. • Good command of the English language. The position is financed until January 31st, 2025. The envisioned start date is May 2022 but this is flexible. The deadline for applications is February 28th, 2022. Please send your application as a single pdf to Jan Clemens (j.clemens(a)eni-g.de) including a CV as well as names and contact details of two references. Please make sure to include a short statement of why this project interests you and how you think you could contribute, based on your scientific background. Jan Clemens European Neuroscience Institute Neural Computation and Behavior group Grisebachstr. 5 37077 Göttingen, Germany janclemenslab.org

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Allen Institute Modeling Software Workshop
by Anton Arkhipov Jan. 19, 2022

Jan. 19, 2022

Join us for the inaugural Allen Institute Modeling Software Workshop in beautiful Seattle, on July 25-26, 2022! https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Sponsored by the NIH BRAIN program, this workshop is organized by the Allen Institute and our collaborators at the Theoretical and Computational Biophysics Group at the University of Illinois at Urbana-Champaign. This 2-day in-person* workshop will consist of interactive seminars and hands-on computational work. It will focus on teaching the skills for building and simulating complex and heterogeneous network models grounded in real biological data. The tools covered by the workshop include: * The SONATA file format<https://github.com/AllenInstitute/sonata> for multiscale neuronal network models and simulation output, supporting standardized and computationally efficient storage and exchange of models. * The Brain Modeling ToolKit (BMTK)<https://alleninstitute.github.io/bmtk/> – a Python-based software package for building and simulating large-scale neural network models at multiple levels of resolution. * The Visual Neuronal Dynamics (VND)<http://www.ks.uiuc.edu/Research/vnd/> – a program for displaying, animating, and analyzing neural network models using 3D graphics and built-in scripting. Workshop Topics: * Building heterogenous neural networks at different levels of resolution * Simulating networks of biophysically detailed, compartmental neuronal models * Simulating networks of point-neuron models * Providing realistic spiking inputs to the neural networks * Simulating perturbations * Simulating extracellular electric field * Using and sharing models in the SONATA format * Visualizing network models’ structure and dynamics in 3D We are eager to host a diverse audience, and we encourage trainees, scientists, and PIs to apply. Prior experience in modeling is not required or expected. The Allen Institute strives to make training opportunities available on a fair and equitable basis. Some travel funding is available for participants with financial need. Please indicate on your application whether such support is needed. Applications will be evaluated on a need-blind basis. There is no fee to participate in the workshop. Applications are due on March 15. All applicants will be notified of the status of their application by May 20. *If conducting the workshop in person becomes impossible due to covid-related safety concerns, it will be replaced by an online workshop on the same dates. See more information and apply here: https://alleninstitute.org/what-we-do/brain-science/events-training/2022-mo… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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Braincom online international workshop on Current advances on speech neural decoding and prostheses: Jan 26, 2022 (free)
by Blaise Yvert Jan. 18, 2022

Jan. 18, 2022

Dear Colleagues, It is a pleasure to announce the following online workshop organized within the EU Braincom project on Current advances on speech neural decoding and prostheses. This event will feature the current work of EU/UK and US groups in the field. It will be held on January 26, 2022 The program and connection details can be found at the following page : https://sites.google.com/view/braincomspeechprosthesesws/accueil It is free to attend, so don't hesitate to connect and spread the information With my best regards and wishes for 2022, Blaise Yvert. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics Grenoble Institute of Neuroscience U1216 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://www.neurotech-lab.fr/ https://sites.google.com/view/blaise-yvert/accueil https://neurosciences.univ-grenoble-alpes.fr/ http://www.braincom-project.eu/

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Josh Tenenbaum speaking in Developing Minds global online lecture series, January 27, 16:00 UTC
by Jochen Triesch Jan. 17, 2022

Jan. 17, 2022

Dear colleagues, you are cordially invited to the following talk in the Developing Minds global online lecture series (https://sites.google.com/view/developing-minds-series/home) Josh Tenenbaum, MIT "Reverse Engineering Human Cognitive Development: What do we start with, and how do we learn the rest?“ This live event will take place on: January 27, 2022 16:00 UTC (Coordinated Universal Time) 17:00 CET (Central European Time) 11:00 EST (Eastern Standard Time) 01:00 JST, January 28 (Japan Standard Time) Abstract: What would it take to build a machine that grows into intelligence the way a person does — that starts like a baby, and learns like a child!? AI researchers have long debated the relative value of building systems with strongly pre-specified knowledge representations versus learning representations from scratch, driven by data. However, in cognitive science, it is now widely accepted that the analogous “nature versus nurture?” question is a false choice: explaining the origins of human intelligence will most likely require both powerful learning mechanisms and a powerful foundation of built-in representational structure and inductive biases. I will talk about our efforts to build models of the starting state of the infant mind, as well as the learning algorithms that grow knowledge through early childhood and beyond. These models are expressed as probabilistic programs, defined on top of simulation engines that capture the basic dynamics of objects and agents interacting in space and time. Learning algorithms draw on techniques from program synthesis and probabilistic program induction. I will show how these models are beginning to capture core aspects of human cognition and cognitive development, in terms that can be useful for building more human-like AI. I will also talk about some of the major outstanding challenges facing these and other models of human learning. Bio: Josh Tenenbaum is Professor of Computational Cognitive Science at MIT in the Department of Brain and Cognitive Sciences, the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Center for Brains, Minds and Machines (CBMM). He received his PhD from MIT in 1999, and taught at Stanford from 1999 to 2002. His long-term goal is to reverse-engineer intelligence in the human mind and brain, and use these insights to engineer more human-like machine intelligence. His current research focuses on the development of common sense in children and machines, the neural basis of common sense, and models of learning as Bayesian program synthesis. His research group's papers have been recognized with awards at multiple conferences in Cognitive Science, Computer Vision, AI, Reinforcement Learning and Decision Making, and Robotics. He is the recipient of the Distinguished Scientific Award for Early Career Contributions in Psychology from the American Psychological Association (2008), the Troland Research Award from the National Academy of Sciences (2011), the Howard Crosby Warren Medal from the Society of Experimental Psychologists (2016), the R&D Magazine Innovator of the Year award (2018), and a MacArthur Fellowship (2019). He is a fellow of the Cognitive Science Society, the Society for Experimental Psychologists, and a member of the American Academy of Arts and Sciences. Web: https://web.mit.edu/cocosci/josh.html To attend the talk, please register at: https://sites.google.com/view/developing-minds-series/home Kind regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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fully funded PhD position, Univ. of Groningen, NL
by Michael Biehl Jan. 17, 2022

Jan. 17, 2022

A *fully funded PhD position* (4 years) in the *Statistical* *Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details. Applications (before March 1) are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information contact M. Biehl. ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen, The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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AREADNE 2022 2nd Call for Abstracts
by John Pezaris Jan. 14, 2022

Jan. 14, 2022

AREADNE 2022 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 28 June - 2 July 2022 http://areadne.org info(a)areadne.org * * * * SECOND CALL FOR ABSTRACTS * * * * Dear Colleague, We would like to remind you that abstracts for poster presentation at AREADNE 2022 are coming due shortly. AREADNE 2022 will once again bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles in an informal yet spectacular setting, and with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at https://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 21 January 2022; notifications will be provided by 22 February 2022. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page https://areadne.org or send email to us at info(a)areadne.org. We hope to see you at AREADNE 2022, Nicholas Hatsopoulos and John Pezaris, Co-Chairs AREADNE 2022 --- John S. Pezaris, Ph.D. AREADNE 2022 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

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INCF IC preprint: Recommendations for repositories and scientific gateways from a neuroscience perspective
by Heather Topple Jan. 14, 2022

Jan. 14, 2022

The INCF Infrastructure Committee (IC) - which provides recommendations for the strategic direction of INCF's infrastructure strategy and development - has a preprint available in arXiv. The preprint, titled *Recommendations for repositories and scientific gateways from a neuroscience perspective*, is a set of recommendations that can apply to a wide and diverse range of digital services, both repositories and science gateways, for data as well as software. These recommendations have neurosciences as their primary use case but are often general. Congratulations to authors and members Malin Sandström, Mathew Abrams, Jan Bjaalie, Mona Hicks, David Kennedy, Arvind Kumar, JB Poline, Prasun Roy, Paul Tiesinga, Thomas Wachtler, and Wojtek Goscinski! Learn more about it here: http://bit.ly/INCFICpreprintblog Read the paper here: bit.ly/INCFICpreprintarXiv Please feel free to forward this email to anyone in your network you feel would be interested. All the best, /Heather ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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Working group publication: Active Segmentation for ImageJ
by Heather Topple Jan. 13, 2022

Jan. 13, 2022

INCF's Active Segmentation for ImageJ working group - including GSOC students - has just published a paper in Brain Sciences as part of a special issue on neuroinformatics and signal processing. Congratulations to mentors Dimiter Prodanov & Sumit Vohra, and GSOC students Mukesh Gupta, Sanjeev Dubay, Joanna Stachera, Raghavendra Singh Chauhan, & Piyumal Demotte! Learn more about it here: bit.ly/INCFwgActiveSegblog Read the paper here: bit.ly/ActiveSegmentationpaper Please feel free to forward this email to anyone in your network you feel would be interested. All the best, ---------------------------- The INCF Secretariat International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience - apply now!
by Eric Shea-Brown Jan. 12, 2022

Jan. 12, 2022

Overview The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is a three-year fellowship program that aims to: · Integrate data scientists in neuroscience research · Challenge traditional approaches to neuroscience · Provide multidisciplinary, multi-organizational co-mentorship · Provide a network and community · Support career development in data science The fellowship is co-hosted by the Allen Institute and the University of Washington (through the eScience Institute and the Computational Neuroscience Center) and is directed by Dr. Christof Koch at the Allen Institute. Neuroscience needs data scientists. The brain represents one of the most complex challenges facing science today. And now with advances in our methods to study the brain—Neuropixel probes that can record from 1000 neurons at once, growing consensus on data standards across laboratories—the field is flooded with data that needs interpretation. The skills of data scientists are essential to springboard the field to the next stage of discoveries. Towards that end, the Shanahan Foundation Fellowship was created to bring fresh perspectives into the field, encouraging data scientists from outside neuroscience to come and work with leading investigators at the Allen Institute and UW. The Allen Institute is unique in its infrastructure and pipeline that enables the production of standardized, reproducible data on the brain (as evidenced by our vast data banks <http://www.brain-map.org/>). Together with our collaborators at the UW computational Neuroscience Center and eScience Institute, we provide data scientists with the ideal opportunity and resources to mine for novel insights and discoveries. Details You do not need experience in neuroscience to apply. The goal of the fellowship is to provide opportunities to non-traditional applicants who would not typically be funded by the typical postdoctoral fellowships in neuroscience. The fellowship has been purposefully designed to give fellows the time and mentorship to get up to speed in a new field and new data collection techniques and methods. Fellows will be employed by the Allen Institute as either a Scientist I or a Scientist II (with a matching salary) and will receive an affiliate postdoctoral appointment at UW. During the three-year fellowship, fellows will identify a mentor at the Allen Institute, where the fellows will be based. Fellows will select a co-mentor at the University of Washington who will provide additional guidance on a project designed by the fellow, focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks <http://www.brain-map.org/> – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in the brains of mice, non-human primates and humans – or through ongoing laboratory work. Each fellow will have the opportunity to mentor a fully-funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows will participate in the postdoctoral career development program at the University’s e-Science Institute and the UW Computational Neuroscience Center. The eSciences Institute offers regular workshops on key topics including cloud computing, python and reproducibility. New fellows will attend the annual Summer Workshop on the Dynamic Brain <https://alleninstitute.org/what-we-do/brain-science/events-training/summer-…> where they will learn how to apply data science skills to neuroscience data and questions. Throughout the three years, fellows will be supported in developing a network in the neuroscience field and sharing their progress with peers at conferences. Up to three fellows will be selected to begin in Fall 2022. Eligibility Requirements Applicants must be data scientists in a broad sense, with a Ph.D. in a quantitative field such as computer science, statistics, electrical engineering, physics, mathematics or biology with a background in statistical, computational and machine learning methods. Ph.D.’s should have been awarded in the last 3 years. One goal of the fellowship is to build a network of collaborators, as such, priority will be given to applicants who are not currently postdoctoral fellows or scientists at the University of Washington or the Allen Institute. We believe high-quality science can only be produced when it includes different perspectives. We are building an environment of diversity and inclusion and encourage people from all backgrounds to apply for this fellowship. Application Instructions For full consideration, please submit your application by February 1, 2022. Applications may continue to be considered after this deadline on a rolling basis until positions are filled. Learn more and apply on the Shanahan Fellowship Website <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…>. https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda… <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> Applications must include: · A curriculum vitae from the applicant · Two letters of support from advisors and other mentors · A one-page personal statement from the applicant describing their history, activities, and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields. · A two- to three-page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals. · The choice of the final advisor/co-advisor will be accomplished during the first year of this fellowship. Questions? Email: shanahan.fellow(a)alleninstitute.org <mailto:shanahan.fellow@alleninstitute.org>

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Summer workshop on the dynamic brain -- apply now!
by Eric Shea-Brown Jan. 12, 2022

Jan. 12, 2022

Applications are now open for the 2022 Summer Workshop on the Dynamic Brain. Founded by Adrienne Fairhall and Christof Koch, this annual two-week course is co-hosted by the Allen Institute MindScope Program and the Computational Neuroscience Center at the University of Washington. The Summer Workshop on the Dynamic Brain is an intensive, project-based residential course with a focus on the neurobiology of sensory processing, coding, and neural population dynamics. This program is intended for researchers at the graduate and postdoctoral level with an interest in developing the intersection of their scientific knowledge and their computational skills. Learn more and apply at https://alleninstitute.org/what-we-do/brain-science/events-training/summer-… Applications are due Feburary 1, 2022. Please contact dynamicbrain(a)alleninstitute.org with any questions.

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Women in Memory Research - Workshop - March 7-9, 2022
by Vinita Samarasinghe Jan. 11, 2022

Jan. 11, 2022

In conjunction with International Women's Day the FOR 2812 is organising its first “*Women in Memory Research*” event from *March 7-9, 2022.* The percentage of senior female university researchers in our field (in Germany) lies between 21% and 29%. Our goal is to increase these numbers! So come and learn what an academic career looks like at the Ruhr University Bochum and discover its advantages. You'll be introduced to the university and it's support structures, be able to participate in university wide programs, meet with female faculty, listen to some amazing scientific talks, present your research, and see what collaborative research looks like in the RUB memory research community. Sounds exciting? *Who can apply:*Female master’s students in their final year of study and recently graduated master’s students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have space for 12 participants! *How to apply:*Send your application including a one page letter of motivation, a current CV, master’s transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @for2812@rub.deby January 23, 2022. If you need child care or any other support please note this in your application. *What to expect:*We will provide accommodation and cover travel costs of up to 500 Euro (some meals are included). The program will be offered in English; however, certain programs offered by the Ruhr University in conjunction with International Women's Day may be only available in German. You will be asked to present your current research in the form of a poster. *Contact:*Vinita Samarasinghe,for2812(a)rub.de, Tel: +49 234 32 27996, https://for2812.rub.de -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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postdoctoral position in the Canavier lab
by Canavier, Carmen C. Jan. 10, 2022

Jan. 10, 2022

A postdoctoral position will become available in the very near future in the Canavier computational neuroscience lab at LSU Health Science Center in New Orleans, Louisiana. Our lab focuses on modeling single neurons and networks in a synergistic loop with experimental collaborators Jochen Roeper, John White and Sonia Gasparini. We are interested in how oscillations are generated and how networks synchronize, and in how the intrinsic properties of neurons contribute to how they integrate their inputs. A quantitative background in electrical engineering, physics, mathematics, computer science or a related field coupled with a passion for applying quantitative techniques and theory to neuroscience is required. We are primarily interested in 1) theta and gamma oscillations in the hippocampus and 2) in the dopamine neurons of the basal ganglia. Please contact Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu> for more information.

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EARLY CAREER SCIENTIST GRANT OPPORTUNITIES- Open January 2022
by Laura Long Jan. 10, 2022

Jan. 10, 2022

The Simons Foundation is invested in supporting the next generation of researchers. Our Independence Awards programs promote talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships. We are offering such awards through three of our programs: the Simons Foundation Autism Research Initiative (SFARI), the Simons Collaboration on the Global Brain (SCGB) and the Simons Collaboration on Plasticity and the Aging Brain (SCPAB). These requests for applications (RFAs) are aimed at Ph.D. and M.D. – holding scientists who are currently in training positions and intend to seek tenure-track faculty positions over the next two years (i.e., 2022-2024). Successful applicants will receive a commitment of $495,000 over three years, activated upon assumption of a tenure-track professorship. Visit bit.ly/3yqWILX for more information on all three programs.

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Summer Undergraduate Computational Neuroscience Apprenticeship
by Neymotin, Samuel (NKI) Jan. 5, 2022

Jan. 5, 2022

Several Army Research Office (ARO) undergraduate research apprenticeship program (URAP) positions are available for the summer of 2022 at the Nathan Kline Institute for Psychiatric Research (https://www.nki.rfmh.org/) Research will be conducted to help achieve the goals of an ARO grant that aims to train neocortical circuit models to play video games using biologically-plausible learning rules, and to compare model performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and publish their results. Several manuscripts under review, that included previous URAP students are available on Biorxiv here: https://www.biorxiv.org/content/10.1101/2021.07.29.454361v1 https://www.biorxiv.org/content/10.1101/2021.11.20.469405v1 Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates in the NYC metropolitan area will be preferred. Apply at https://www.usaeop.com/program/undergraduate-apprenticeships/ Make sure to use code U803 (Nathan Kline Institute) and apply by the deadline (February 28, 2022). Letters of recommendation are optional. For questions, email Samuel.Neymotin(a)nki.rfmh.org ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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postdoc position involving psychophysics and fMRI to study visual consciousness
by Brascamp, Jan Jan. 4, 2022

Jan. 4, 2022

The Brascamp Lab for Visual Neuroscience at Michigan State University is seeking a Research Associate (postdoc). The Research Associate will be researching the neural basis of conscious vision, as part of a multi-site project funded by the Templeton World Charity Foundation and performed at Michigan State University in collaboration with researchers at NYU, UC Irvine, and Boston University (shorturl.at/ackpE<http://shorturl.at/ackpE>). The work involves visual psychophysics and functional neuroimaging. The Brascamp Lab is located within the Department of Psychology and is a part of the Department's Cognition and Cognitive Neuroscience group, which provides an excellent research and training environment with faculty expertise covering a broad range of topics in perception and cognitive psychology. The Research Associate will be stationed at MSU, and the project may require a limited time spent in Amsterdam, the Netherlands, for data acquisition. This is initially a one-year position with the possibility of extension. Minimum Requirements include a Ph.D. in vision science, cognitive psychology, neuroscience, or a related field. Applicants should have a strong publication record, experience with psychophysics and/or human neuroimaging, strong programming skills (Python or related language(s)), and strong statistical training. Desired Qualifications: the ideal candidate will have excellent interpersonal and communication skills, and the ability to work independently. Please send inquiries or application materials (a letter of interest, CV, and contact information of three references) to brascamp(a)msu.edu<mailto:brascamp@msu.edu>. Review of applications will begin immediately.

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Fully funded PhD studentship in computational modelling of decision uncertainty available
by Wong-Lin, Kongfatt Jan. 3, 2022

Jan. 3, 2022

Applications are invited for a fully funded 3-year Ph.D. studentship in: "Emergent Computation of Decision Uncertainty Monitoring, Awareness and Learning", at Ulster University, UK. This PhD project aims to model and understand decision uncertainty monitoring computation using recurrent neural networks with "self-awareness", and to develop novel neuro-inspired AI algorithms. For more information, please refer to: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1044166 The application process for the Ph.D. studentship is opened with a closing date for applications on the 7th February 2022. Anyone (UK or international applicant) who wishes to discuss about the Ph.D. studentship application or enquire more about this Ph.D. project should contact: Dr. KongFatt Wong-Lin (e-mail: k.wong-lin(a)ulster.ac.uk) Reader Intelligent Systems Research Centre, School of Computing, Engineering & Intelligent Systems, Ulster University, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Call for participants Interdisciplinary College Spring school – March 7-17th, online
by Marieke Vugt, van Dec. 29, 2021

Dec. 29, 2021

The Interdisciplinary College (IK) is an annual, intense spring school which offers a dense state-of-the-art course program in neurobiology, neural computation, cognitive science/psychology, artificial intelligence, machine learning, robotics and philosophy. It is aimed at students, postgraduates and researchers from academia and industry. By combining humanities, science and technology, the IK endeavours to intensify dialogue between the various disciplines. Courses include up-to-date introductions to the main fields of the IK, as well as an in-depth treatment of the focus topic, which this year is “flexibility”. We will discuss topics ranging from mental flexibility, to flexibility of the nervous system, to physical flexibility with dance, to science communication to viewpoint flexibility through Tibetan monastic debate techniques. The IK is also a unique social event. Due to the pandemic, IK will this year take place fully virtually, which makes it possible for participants from across the world to join! Participants from all over the world are invited to join online lecture series, workshops, key note lectures, panel discussions, a fish bowl discussion on career development, a virtual poster session, and plenty of opportunities for social interaction in our virtual conference venue in gather.town. Design your avatar, enjoy the talks by and interaction with top-class speakers from multiple disciplines, and join the crowd for a chat at the virtual fireplace or an online game – while you are comfortably sitting at home. The scientific program from 4.00 to 8.30 pm CET (with subsequent social interaction events) will allow participation in this online spring school, while maintaining regular study or work activities. There will also be in-person local interaction hubs, pandemic permitting. For more information and to register, check out the website: https://interdisciplinary-college.org/program/ Warm regards, Marieke van Vugt, Jutta Kretzberg, Alexandra Kirsch (co-chairs) -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) +44-741-847-6518 (abroad) https://mkvanvugt.wordpress.com <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com —————————————— Please do not feel obliged to respond in the weekend or evening when I send emails at that time.

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Academic position in brain-inspired computing at the University of Liege, Belgium
by Guillaume Drion Dec. 28, 2021

Dec. 28, 2021

Dear all, the University of Liège, Belgium, is inviting applications for a tenure-track full-time academic position in “Brain Inspired Computing", in the Department of Electrical Engineering and Computer Science (Montefiore Institute). Applicants are sought in one or more of the following areas: - design of neuromorphic sensing and signal processing systems, - development of cognitive information processing methods, - neuromorphic design of embodied intelligence. The deadline for sending applications is 15 February, 2022. The position and procedures are described in more details in https://www.montefiore.uliege.be/cms/c_7790814/en/open-tenured-or-tenure-tr… <https://www.montefiore.uliege.be/cms/c_7790814/en/open-tenured-or-tenure-tr…> Best, Guillaume Drion.

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Ph.D. positions in lifelong learning and neuromorphic AI/ML at Loughborough University
by Andrea Soltoggio Dec. 27, 2021

Dec. 27, 2021

Dear All, We would like to invite candidates to apply for funded Ph.D. positions in AI and ML at the Computer Science Department at Loughborough University. Topics of interest involve AI/ML areas such as lifelong learning, bio-inspired neural computation and spiking neural networks with a particular focus on applications in reinforcement learning, robotics, and edge-AI. Details. This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA projects Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL). The candidates will join a growing research group of Ph.D. students and postdocs working in the same area, and have access to the latest computational devices such as Nvidia A100 cards. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported. Different projects will focus on aspects such as multi-agent neural reinforcement learning, neuromodulation, continual learning, low-power edge-computing, neuromorphic algorithms and implementations. Applications areas include autonomous vehicles and agents, advanced industrial systems, drones and other distributed robotic systems. Further additional links to our latest news and papers: https://www.azorobotics.com/News.aspx?newsID=12518 https://openreview.net/forum?id=BJge3TNKwH https://arxiv.org/abs/1703.10371 https://www.frontiersin.org/articles/10.3389/fncom.2021.666131/full https://ieeexplore.ieee.org/abstract/document/9534283 Loughborough University Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career. Entry requirements Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in computer science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: artificial intelligence, neural networks, robotics. Funding information Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects within the School. Funding decisions will not be confirmed until early 2022. The studentship is for 3 years and provides a tax-free stipend of £15,609 per annum for the duration of the studentship plus tuition fees at the UK rate. International (including EU) students may apply however the total value of the studentship will cover the International Tuition Fee Only. The position will be starting in October 2022 under the supervision of Dr. Andrea Soltoggio and Dr. Shirin Dora. If interested, please get in touch by emailing a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> or s.dora(a)lboro.ac.uk<mailto:s.dora@lboro.ac.uk> . Sincerely, Andrea Soltoggio and Shirin Dora -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Two Postdoc positions and one PhD studentship at Cardiff, UK
by Jiaxiang ZHANG Dec. 23, 2021

Dec. 23, 2021

[Apologize for cross-posting] Dear colleagues, We are seeking applicants for two postdoc positions (research associates) and one PhD studentship at Cardiff University Brain Research Imaging Centre (CUBRIC). The research associates will work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional and diffusion MRI, and MRS) and computational modelling. The PhD will work on cohort data to understand information processing speed in humans. We encourage applicants from different disciplines, including cognitive neuroscience, imaging neuroscience, psychology, computer science, mathematics or physics. Job specs and application details are available online (see links below). For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73(a)cardiff.ac.uk) with your CV. A. Postdoc positions (Deadline: Jan 14, 2022) https://www.jobs.ac.uk/job/CLV361/research-associates-2-posts B. 3-year PhD studentship (Deadline: March 11, 2022) https://www.findaphd.com/phds/project/characterizing-inter-individual-diffe… The successful candidates will be based at CUBRIC. CUBRIC houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our web page ( http://sites.cardiff.ac.uk/cubric) Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ http://ccbrain.org https://www.cardiff.ac.uk/people/view/518347-zhang-jiaxiang zhangj73(a)cardiff.ac.uk +44 (0)29 2087 0471

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Postdoctoral Fellow in the Theoretical Neuroscience at the Theoretical Neuroscience Group, Institute of Cognitive Neuroscience, HSE University Moscow, Russia
by boris gutkin Dec. 22, 2021

Dec. 22, 2021

Postdoctoral Fellow in the Theoretical Neuroscience HSE University <https://www.hse.ru/en/info/> <https://www.hse.ru/en/cdm-centre/theoretical>Institute of Cognitive Neuroscience, Theoretical Neuroscience Group <https://www.hse.ru/en/cdm-centre/theoretical>Moscow, Russia Theoretical Neuroscience Group (TNG), CDM, Institute for Cognitive Neuroscience, HSE in Moscow, Russia, invites applications for postdoctoral research positions in the field of theoretical and computational neuroscience. Research interests of the TNG at the Centre for Cognition and Decision Making <http://www.hse.ru/en/cdm-centre> are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group’s research program. Requirements The general requirements for the postdoctoral fellowship positions are the following: ● Candidates must hold a recent PhD in the quantitative fields which was awarded over the last 5 years or received before starting work at HSE in a relevant field by an internationally recognized university and has been assessed by external reviewers as having the potential to pursue research that is publishable in leading peer-reviewed journals; ● Candidates should have a strong background in in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data and in an inter-disciplinary environment is highly desired. ● Fluent English is an obligatory condition as research and other activities are conducted in English. Knowledge of Russian is not required; The position involves: ● working under the direct supervision of Boris Gutkin, Leading Scientist at the CCDM ● participants are encouraged to pursue their own research along with working on the TNG research projects such as: o computational neurobiology o neural dynamics o computational neuroeconomics o computational psychiatry ● writing research papers for international peer-reviewed journals in co-authorship with the members of CDM; ● participation in the events of the TNG, CDM and the Institute for Cognitive Neuroscience and other contribution to the TNG/CMD development; ● public presentations of candidate’s own research to the academic community; ● some teaching is encouraged, though not required. Conditions Appointments are made for one year. Postdoctoral fellows have an opportunity of renewal of the contract (no more than two times). HSE University offers postdoctoral fellows a competitive salary, the standard medical insurance plan, a working space equipped with a computer and free Internet access at the University. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE’s Centre for Cognition & Decision Making <https://www.hse.ru/en/cdm-centre/> with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior <http://iec-lnc.ens.fr/group-for-neural-theory/?lang=en> in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship(a)hse.ru <mailto:fellowship@hse.ru> before the application deadline. Please note that direct applications to the hiring CDM may not be reviewed. Read more about the application process here <https://iri.hse.ru/postdoc_info>. The deadline for the applications is January 31, 2022.

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PhD position at University of Sussex
by James Knight Dec. 22, 2021

Dec. 22, 2021

Dear all, I'm really excited to announce that I have a PhD studentship in "self-supervised neuromorphic vision" available in the AI group at the University of Sussex (https://www.sussex.ac.uk/research/centres/ai-research-group/) https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1407-PhD-Stude… As the advert suggests, the stipend and fee waiver is available to excellent students of all nationalities and the project includes an internship at the Institute of Neuroinformatics in Zurich to quickly get up to speed on event-based cameras. Please feel free to forward this announcement and, if you have any questions, don't hesitate to ask! Cheers Jamie

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Assistant Professor / Postdoc Researcher in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp Dec. 22, 2021

Dec. 22, 2021

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 investigate the underlying mechanisms of human cognitive development and disorders by means of computational approaches. We design computational neural networks inspired by the human brain and examine what enables the networks to acquire human-like intelligence. Please send the required documents if you are interested in being considered. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/wp-content/uploads/2021/12/20211220_IRCN_Nagai_lab_2EN.pdf Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp ---------- 1. Job title / Number of positions Project Research Associate or Project Researcher (Postdoctoral Fellow) / One or two 2. Employment period Starting Date: Negotiable Contract duration: until March 31, 2022 3. Renewable 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, 2026. 4. Place of work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Description Successful applicants will work in the fields of computational neuroscience, cognitive developmental robotics, machine learning, and relevant topics. They will investigate the principle of human cognitive development and disorders by modeling computational neural networks inspired by the human brain and/or analyzing human cognitive behaviors. Please see the lab homepage (https://developmental-robotics.jp/en/) for more details. 6. Salary and benefits Salary: To be determined in accordance with the University of Tokyo Regulations Commuter allowance: JPY55,000 per month at maximum No retirement benefits or bonuses 7. Qualifications - PhD in engineering, computer science, cognitive science, neuroscience, or relevant fields - Communication skills in English - Programming skills - Experiences in computational neuroscience and/or cognitive developmental robotics are preferred 8. Application documents (1) Cover letter (A4 1 page) (2) Curriculum vita (3) Publication list (4) Research plan (A4 2-3 pages) (5) Name, affiliation, and email address of two references, one of which should be a previous employer or supervisor 9. Submission Please send the application documents (PDF) to yukie(a)ircn.jp 10. Application deadline / Selection process When the position is filled All applications will be screened, and only those qualified will be scheduled for an interview (on-site or online). 11. Inquiries Please contact Prof. Yukie Nagai at IRCN, the University of Tokyo yukie(a)ircn.jp — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

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Six studentships in biomimetic embodied AI
by Thomas Nowotny Dec. 21, 2021

Dec. 21, 2021

Dear Comp-Neuro community, We are offering 6 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton. Deadline: 23 February 2022 Apply online: https://www.sussex.ac.uk/study/phd/apply Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulm… and below. Kind regards & Merry Christmas, Thomas -- Prof. Thomas Nowotny Head of AI Research Group 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> <https://outlook.office.com/owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498e…> 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> PhD Studentships in be.AI - University of Sussex’s Leverhulme Doctoral Scholarship Programme in Biomimetic Embodied AI The University of Sussex invites applications for PhD studentships within the be.AI Leverhulme Doctoral Scholarship Programme<http://www.sussex.ac.uk/ccnr/be_ai> (www.sussex.ac.uk/ccnr/be_ai<http://www.sussex.ac.uk/ccnr/be_ai>) which brings 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 advance the 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 tax free living allowance at the standard Research Council rate – currently £15,009 per year– and normally UK fees (there are options for international fees for outstanding candidates) * 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. We are now accepting applications for the second intake – 6 studentships to start in September 2022. 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.

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Call for 2022 Telluride Neuromorphic Cognition Engineering Workshop Topic Area Proposals
by Emre Neftci Dec. 21, 2021

Dec. 21, 2021

The Telluride Neuromorphic 2022 Workshop Organizers are soliciting topic area proposals for the 2022 Telluride Neuromorphic Cognition Engineering Workshop (https://sites.google.com/view/telluride-2022) which will run from June 26 to July 16 2022. Details of the call can be found here: https://docs.google.com/document/d/16m7iRLUESgwyM1Qzk8m40Y-hkip38W-dv1Vqrlu… Important upcoming dates: - Jan 07. 2022: Proposer's Day (5PM CET/9am USA MT). We will answer questions from prospective proposers about the topic area organization. - Jan 16. 2022: Deadline for Topic Area Proposals. Emre Neftci on behalf of The 2022 Telluride Organizing Team -- Prof. Dr. Emre Neftci Head of Peter Grünberg Institute 15 - Neuromorphic Software Ecosystems Forschungszentrum Jülich www.fz-juelich.de/pgi/PGI-15

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University
by COMP HKBU Dec. 20, 2021

Dec. 20, 2021

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

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MSc/PhD and Postdoctoral positions in Computational Brain Science at Western University (London, Ontario)
by Lyle Muller Dec. 18, 2021

Dec. 18, 2021

MSc/PhD and Postdoctoral positions in Computational Brain Science at Western University (London, Ontario) The Computational Brain Science Group<https://www.uwo.ca/bmi/cbs> at Western University (Ontario) is offering competitive funding for MSc / PhD students as well as postdocs. Our highly collaborative group is part of the Brain and Mind Institute<https://www.uwo.ca/bmi> with the core labs<https://www.uwo.ca/bmi/cbs/about_us/core_labs.html> working on the analysis and modelling of neurophysiological, neuroimaging, and behavioural data. More information about the funding programs can be found here: https://www.uwo.ca/bmi/cbs/graduate_training/prospective_students.html https://www.uwo.ca/bmi/cbs/graduate_training/prospective_postdocs.html To apply, please contact the PIs with whom you are interested to work by January 10th, 2022, by sending a single PDF file entitled <LastName>_<FirstName>.pdf containing: * a CV * a short research statement (max. 2 pages) outlining your research interest and how it fits with ongoing work in the targeted lab * the name and contact information of 2 academic references. Both our group and the University are committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write PIs directly to discuss the research environment at Western. -- Lyle Muller http://mullerlab.ca

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WWNeuRise online seminars Jan-Feb 2022
by William Podlaski Dec. 17, 2021

Dec. 17, 2021

WorldWideNeuRise will host several online talks throughout January and February 2022 on various topics in systems neuroscience from the following early career researchers (titles TBA): Wednesday, 12 January, 5pm CET Jacob Bellmund (Doeller Lab, MPI CBS / Kavli Institute) Alexander Attinger (Giocomo Lab, Stanford University) Wednesday, 26 January, 5pm CET Michael Reitman (Poskanzer Lab, UCSF) Katharina Merten (Nimmerjahn Lab, Salk Institute) Wednesday, 9 February, 5pm CET Munir Gunes Kutlu (Calipari Lab, Vanderbilt University) Olivia Swanson (Maffei Lab, Stony Brook University) Wednesday, 23 February 5pm CET Chaitanya Chintaluri (Vogels Lab, IST Austria) Zahid Padamsey (Rochefort Lab, University of Edinburgh) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Ellen Boven (Apps Lab, University of Bristol) Christina Buetfering (Häusser Lab, University College London) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

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CFP 31st International Conference on Artificial Neural Networks ICANN 2022, Sept 6-9, Bristol, UK - Hybrid event
by Paolo Masulli ENNS Dec. 17, 2021

Dec. 17, 2021

31st International Conference on Artificial Neural Networks ICANN 2022 https://e-nns.org/icann2022 Bristol, United Kingdom - *Hybrid event* 6 - 9 September 2022 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2022 the Department of Computer Science and Creative Technologies of the University of the West of England, in Bristol, United Kingdom will organise ICANN 2022. This will be held at Frenchay Campus from 6 to 9 September 2022. The conference is currently planned as a *hybrid event* with some presence and some online participation if possible. We will continuously monitor the situation in the next few months according to the overall health developments. * **CONFERENCE TOPICS* ICANN 2022 is a conference featuring tracks in Brain-inspired Computing and Machine Learning in Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: *Machine Learning*: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information-theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI. *Brain-inspired Computing*: Cognitive models, Computational Neuroscience, Self-organisation, Bioinspired Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action. *Neural Applications for*: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech and Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2022 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *Call for Special Sessions and Workshops* ICANN 2022 organizers cordially invite internationally recognised experts to organise Special sessions and Workshops within the general scope of the conference. Proposals should be sent to ICANN2022(a)uwe.ac.uk *CALL FOR PAPERS* Authors willing to present original contributions in either the oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots, the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2022/ *IMPORTANT DATES* Deadline for special session and workshop proposals: 28 Feb 2022 Opening of contribution submissions: 21 Feb 2022 Deadline for full paper and extended abstract submission: 3 Apr 2022 Notification of acceptance: 10 Jun 2022 Camera-ready paper upload: 30 June 2022 Deadline for author registration and early registration at early rate: 30 June 2022 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* *General Chairs* Elias Pimenidis – UWE Bristol, UK Angelo Cangelosi – University of Manchester, UK *Organising Committee Chairs* Tim Brailsford – UWE Bristol, UK Larry Bull – UWE Bristol, UK *Honorary Chairs* Stefan Wermter – University of Hamburg, Germany (ENNS President) Igor Farkaš – FMPI, Comenius University in Bratislava, Slovakia *Programme Committee Chairs* Plamen Angelov – Lancaster University, UK Mehmet Aydin – UWE Bristol, UK Chrisina Jayne – Teesside University, UK Elias Pimenidis – UWE Bristol, UK *Communication Chairs* Paolo Masulli – ENNS, Technical University of Denmark Kristína Malinovská – FMPI, Comenius University in Bratislava, Slovakia Antonios Papaleonidas – Democritus University of Thrace, Greece

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Postdoc position - Cheng Lab - Ruhr University Bochum
by Vinita Samarasinghe Dec. 17, 2021

Dec. 17, 2021

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time *Postdoctoral position* (TV-L E13) in Computational Neuroscience. The position starts on July 1, 2022 and is funded for three years. The successful applicant will work on a collaborative project (within the Collaborative Research Center “Extinction Learning” (SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/>)), together with experimentalists to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280, * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, * coordinate research with other participating projects. Candidates must have: * a doctorate degree in neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English, * the ability to work well in a team. Research experience in neuroscience would be a further asset. The position is third party funded and does not have any formal teaching duties attached. The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. For further information see www.rub.de/cns. The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. The Institute for Neural Computation 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. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to *samarasinghe(a)ini.rub.de*. In addition, at least two academic references must be sent independently to the above email address. The deadline for applications is *January 2, 2022*. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to network with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. If you have any questions please feel free to get in touch with Vinita Samarasinghe (contact below) -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Germany Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John Dec. 16, 2021

Dec. 16, 2021

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Program for Theoretical Neuroscience at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2022. 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 affiliated with the Swartz Program at Yale (Jessica Cardin, Michael Crair, Damon Clark, Jonathan Demb, George Dragoi, Thierry Emonet, Michael Higley, Joe Howard, Monika Jadi, Jamie Jeanne, Alfred Kaye, Liang Liang, Benjamin Machta, John Murray, Anirvan Nandy, Ilker Yildririm, Steven Zucker). Applicants will be encouraged to participate in neuroscience and quantitative biology community at Yale, including through the Wu-Tsai Institute (https://wti.yale.edu/) and the Quantitative Biology Institute (https://qbio.yale.edu/) 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 to the following e-mail address with "Swartz" in the email title: john.murray(a)yale.edu<mailto:john.murray@yale.edu>. Review of applications will begin January 1, 2022 and continue until a position is filled. 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/32853/postdoctoral-swartz-fellowship-position… John D. Murray ----------------------------------------------- Associate Professor of Psychiatry, Physics, and Neuroscience Yale University murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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COSYNE 2022: Registration; Travel grants
by Tomas Hromadka Dec. 15, 2021

Dec. 15, 2021

==================================================== Computational and Systems Neuroscience 2022 (Cosyne) MAIN MEETING 17 - 20 March 2022 Lisbon, Portugal WORKSHOPS 21 - 22 March 2022 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Travel grant application deadlines *31 December 2021, 11.59PM PST (Undergraduate Travel Grant)* 01 February 2022, 11.59PM PST (Other travel grants) ---------------------------------------------------- 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. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. 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, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. COSYNE SPEAKERS Eugenia Chiappe (Champalimaud Centre for the Unknown) Albert Compte (IDIBAPS, Barcelona) Sandeep Robert Datta (Harvard Medical School) André Fenton (New York University) Kate Jeffery (University College London) Ann Hermundstad (Janelia Research Campus, HHMI) Michael A. Long (New York University) Christian Machens (Champalimaud Centre for the Unknown) Asya Rolls (Technion - Israel Institute of Technology) Susanne Schreiber (Humboldt-Universität zu Berlin) Maryam Shanechi (University of Southern California) Scott Waddell (University of Oxford) Martha White (University of Alberta) ORGANIZING COMMITTEE General Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Program Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Workshop Chairs: Anna Schapiro (U Penn) and Blake Richards (McGill) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Gabrielle Gutierrez (Columbia) and Stefano Recanatesi (U Washington) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Development Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Maja Bialon PROGRAM COMMITTEE Laura Busse (U Munich) Tim Vogels (IST Austria) Athena Akrami (UCL) Omri Barak (Technion) Brice Bathellier (Paris) Bing Brunton (U Washington) Yoram Burak (Hebrew University) SueYeon Chung (Columbia) Christine Constantinople (NYU) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Alexander Ecker (Göttingen) Tatiana Engel (Cold Spring Harbor) Annegret Falkner (Princeton) Kevin Franks (Duke) Jens Kremkow (Berlin) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Emilie Mace (MPI Neurobiology) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Jill O'Reilly (Oxford) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montréal) Yiota Poirazi (FORCE) Nathalie Rochefort (Edinburgh) Cristina Savin (NYU) Daniela Vallentin (MPI Ornithology) Brad Wyble (Penn State) 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 www.cosyne.org/mailing-lists for details.

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Faculty Director, Sapien Labs Center for the Human Brain and Mind at Krea University, India
by Shyam Kumar Sudhakar Dec. 15, 2021

Dec. 15, 2021

*Position: *Faculty Director, Sapien Labs Center for the Human Brain and Mind at Krea University *About the Centre:* Krea University aims to establish, in partnership with Sapien Labs, a center for research and learning related to the human brain and mind. The overall mission of the centre is to enable a cross-disciplinary ecosystem that helps understand the nature and relationship of the brain and mind, its evolution and diversity across humanity and the environmental and social determinants of our cognitive and mental health. Among the main goals, the centre envisages to: (1) Assist in the creation of an all India collaborative network to enable practical applications of insights; (2) Build a core program of data acquisition across a large cross-section of people across their lifespan; (3) Develop a substantial analytical capability for large-scale insights; (4) Develop a generation of research scholars with a broad cross-disciplinary perspective; (5) Foster research and develop new curriculum across disciplines; (5) Communicate scientific research findings on brain development widely available to diverse constituencies; (6) Promote public awareness and impact policy by discussing the implications of brain/mind research in the fields of education, health, law, parenting, and mental health, and enhance the field of developmental cognitive neuroscience. One of the key flagship activities of the centre will be the India host of “The Human Brain Diversity” initiative, a big data project of Sapien Labs that measures brain activity on a large scale across the globe using EEG, along with various other measures of life experience, mental and cognitive outcomes and other physiological and metabolic measures. The centre is anticipated to have synergistic collaborations across various entities within the Krea ecosystem. *The Role:* The Faculty Director will guide and build the research program at the Sapien Labs Center for Human Brain and Mind at Krea University in collaboration with key research advisors at the centre. He/she will hold a faculty position at Krea University, and will hold this responsibility along with their teaching/research work. The Faculty Director will also be responsible for fostering synergies among faculty members, students, post-docs, and the broader academic community at Krea University, along with promoting the centre’s research within wider academic networks in India and abroad. The Faculty Director will work closely with the Executive Director and the Steering Committee, particularly on issues of strategic planning as these relate to research. *Responsibilities:* *Research Leadership* · Engage in research on the human brain and mind that aligns with the mission of the center. · Bring together a cross-disciplinary faculty at Krea and beyond to collaborate on research within the center. · Manage the data center along with the Executive Director (possibly in collaboration with the Center for Data Science and Computation). · Collaborate with the Executive Director to build, and provide sufficient support for, a community of innovative researchers to enhance research capacity at Krea and to increase internal and external research opportunities for faculty, post-doctoral fellows, and students in the research domains of the centre; · Develop mutually beneficial linkages with partners and collaborators for dissemination and outreach. Organize periodic seminars, workshops, and lectures; and provide meaningful content and publications for the centre’s website; · Enhance the overall reputation of the research centre and Krea University by ensuring quality research, and communicating that research to relevant stakeholders; · Ensure all research activities are in conformity with prevalent laws, ICMR and all other Government guidelines, rules and regulations along with Krea’s IRB protocols; · Evangelize the center and its research to develop collaborations across the country and internationally. *Academic Leadership* · Develop a teaching curriculum to build scholarship in the field; · Facilitate pathways for student internships and work-study positions; · Represent the centre at Krea’s Research Council. The Faculty Director should have the following qualifications: · Ph.D in neuroscience, psychology, clinical psychiatry, or cognitive science; · Multidisciplinary, broad, thoughtful perspective spanning at least two of the following fields – neuroscience, psychology, clinical psychiatry, psychiatry, cognitive science, social science, physics, data science, and complex systems; · Must have a significantly data-oriented background and skills as the center will have a heavy focus on big data (e.g. understanding of data structures and some programming background); · Excellent communicator with an ability to teach and communicate with the different stakeholders; · Strong relationship and team building skills with ability to bring together faculty across disciplines and establish external collaborations; · A practical translational perspective for how research can translate into useful policy, products and services. Some experience outside academia, therefore, is a plus. · Assist in ethics/IRB proposals. *Salary: *As per Institution standard *How to apply:* Please send cover letter and resume to facapps.bm(a)krea.edu.in. Please specify in email subject – Sapien Labs – Faculty Director. The position will be advertised until the position is filled.

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Call for INCF mentors and project ideas for GSOC 2022 - deadline January 15 & 25
by Malin Sandström Dec. 15, 2021

Dec. 15, 2021

Dear all, ---- please forward this call to potentially interested mentors in your network --- INCF will apply to be a mentor organization in Google Summer of Code <https://summerofcode.withgoogle.com> for the 12th time running. We are calling for open source software development project ideas with some sort of *neuro connection* - fixes or extensions to big/broadly applicable or small/niche tools used by neuroscience researchers, efforts and initiatives in the broad field of computational neuroscience. If your project supports or implements INCF endorsed standards or best practices <https://www.incf.org/resources/sbps>, we especially encourage you to apply. We are also* looking for mentors who are willing to take on student-proposed projects *that fit their interests. As you may have seen earlier this year, Google has announced some changes to the GSoC program for 2022: - Candidate *eligibility* will widen, the only requirement is that candidates are newcomers to open source (instead of "GSoC student", the official term Google uses is now "GSoC contributor"). - The project *effort* can be half-time or full-time - 175 or 350 hours. Everyone submitting at least two project ideas will be asked to *include both half-time and full-time projects*. - Project end dates can be extended (but not moved earlier), at the discretion of the org admin. To keep the administration manageable, *we will only accept projects initially planned for a 12 week duration*. Extensions during the program period will be made on a case-by-case basis. Also, the usual reminder: there is no guarantee that INCF will be accepted as a mentoring organization this year; Google announces the accepted organizations sometime in March. Please be clear with this in your communication with students. The timeline will be similar to the years before, but the dates are not yet set. We expect applications to open early February and close two weeks later (with accepted organizations announced a couple of weeks later). We aim to have a live Project Ideas list from mid January. *Important*: Interested mentors need to contact us (malin(a)incf.org with CC to gsoc(a)incf.org) early with a declaration of interest and a short summary of the intended project(s), latest *January 15*. Full project descriptions need to be submitted by *January 25*. ________________________________ Submission instructions Each submission should come by email to malin(a)incf.org with CC to gsoc(a)incf.org, and contain: 1) An informative title with relevant keywords (good-to-have: name of tool/project, name of programming language(s) or tools used) 2) A project description including a brief general intro, motivation, aims, scope and skills/skill level needed. Please make sure to clearly state - the planned effort (175 or 350 hours) - the intended skill level (beginner, novice, intermediate, advanced) - the list of pre-requisite skills the contributor will need to have - 2-5 tech keywords (Python, C++, Java, SQL, REST, CUDA, ...) For submissions with two or more project ideas, *please include at least one project of each size (175 or 350 hours)*. 3) At least *one lead mentor + one named co-mentor/backup mentor* who would be able and willing to back the main mentor up in mentoring in case something unforeseen happens. There can be more than one, as long as you are internally clear on who does what. 4) Any planned longer absences during the lead up/student interaction period (February - April) or the project period (May - August), and the plan for covering them. 5) Format: your choice - txt, doc, docx, pdf or a link to a webpage with the full description(s). Anything that can be copied and pasted. *Please note*: Project ideas will be posted on the forum Neurostars.org after the Ideas list goes live, and* prospective mentors are expected to join the forum and be available for questions* from students during the run up to the announcement (late Jan - early March) and the student interactions period (March-April). This can be handled mostly by email, if you prefer, once you have set your NeuroStars account up. Best regards, and happy coding! Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Doctoral position at University of Göttingen, CRC 1528 "Cognition of Interaction"
by von Behren, Christina Dec. 15, 2021

Dec. 15, 2021

Dear All, Please note the open doctoral position below. At the University of Göttingen, a new Collaborative Research Center (CRC) 1528 "Cognition of Interaction" will be established with funding from the German Research Foundation (DFG). The CRC invites applications for a Doctoral position (all genders welcome) This is a 65% position (currently 25,87h/week) until December 31st, 2025. The position should be filled as soon as possible. Salary: Pay grade 13 TV-L. Across 22 projects, the CRC 1528 "Cognition of Interaction"<https://uni-goettingen.de/de/652672.html> will investigate how fundamental cognitive functions and their neurobiological foundations contribute to human and nonhuman primate social behavior and social interactions. The network is formed by a highly interdisciplinary consortium of systems and computational neuroscientists, data scientists, psychologists and behavioral and cognitive biologists. We are looking for candidates with an excellent Master's degree 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 high-dimensional behavioral and electrophysiological neural recordings to investigate signatures of predictive processing of the actions of others. The ideal candidate should have excellent skills in scientific writing and should have demonstrated her/his ability to work independently. Prior experience with predictive coding theory and experience with the application of information theory to biological data are a plus. Proven coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java or Mat-lab) and a co-authorship on a scientific publication are also considered as an advantage. 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 in neuroscience, including partial information decompositions. 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 be 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 people. Applications from severely disabled people with equivalent qualifications will be given preference. Please submit your application as a single pdf with the usual documents (motivation letter, curriculum vitae, university degrees, contact details of up to two referees) electronically and mention the reference "Prof. Dr. Wibral", until 06.01.2022 to Georg-August-Universität Göttingen, Dr. Christian Schloegl, Kellnerweg 4, 37077 Göttingen. E-Mail: christian.schloegl(a)mail.gwdg.de<mailto:christian.schloegl@mail.gwdg.de> If you have any questions about the research program, please contact Prof. Dr. Michael Wibral via e-mail: michael.wibral(a)uni-goettingen.de<mailto:michael.wibral@uni-goettingen.de> For questions regarding the application procedure, please contact Dr. Christian Schloegl via email: christian.schloegl(a)mail.gwdg.de<mailto:christian.schloegl@mail.gwdg.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…> Best Regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen Heinrich-Düker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Postdoc in computational neuroscience (CRM, Barcelona)
by Klaus Wimmer Dec. 13, 2021

Dec. 13, 2021

The group of Computational Neuroscience at the Center for Research in Mathematics (CRM), Barcelona (https://www.crm.cat/research-group/5/computational-neuroscience/) is looking for a postdoctoral researcher. Research interests of the group include decision-making, perception, working memory, spatial memory, neural network models and developing new methods for analysis of behavioral and neural data. The candidate will work in the group of Alex Hyafil, Alex Roxin, and/or Klaus Wimmer. The project will be defined in collaboration with the supervisor(s) and may include working with experimental data from external collaborators or collecting psychophysics/EEG data in the lab. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our group forms part of a larger interacting network of neuroscience labs in Barcelona (http://www.barccsyn.org<http://www.barccsyn.org/>). Candidates should have a PhD in computational neuroscience or a related field, with their PhD obtained after 1/1/2017. Candidates from applied mathematics or physics are also welcome. Research experience outside of Catalonia is required. APPLICATION: Send a curriculum and motivation letter with a list of two contacts for recommendation letter to kwimmer(a)crm.cat<mailto:kwimmer@crm.cat> or ahyafil(a)crm.cat<mailto:ahyafil@crm.cat>. Informal enquiries are welcome. DEADLINE: contact before January 15th, 2022. DURATION: two years STARTING DATE: June-November 2022 CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

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Tenure Track Faculty Position at the City College of New York (City University of New York)
by Asohan Amarasingham Dec. 13, 2021

Dec. 13, 2021

Dear Colleagues, The Mathematics department at the City College of New York at CUNY (City University of New York) is hiring a tenure-track assistant professor, particularly targeting applications, including computational and mathematical biology. CCNY and CUNY has strong and broad representation in neuroscience, including a doctoral program in neuroscience and a number of targeted programs at the Advanced Science Research Center, the Initiative for Theoretical Sciences, and City College's Center for Discovery and Innovation. There is also a large and vibrant neuroscience community throughout the New York metropolitan area. For all these reasons, the position could be a great fit for a computational neuroscientist and we'd welcome applicants interested in neuroscience. Application review begins soon. The full job ad can be found at Mathjobs.org<http://Mathjobs.org>: https://www.mathjobs.org/jobs/list/18897 Further details below. Best Regards, Asohan Amarasingham The Department of Mathematics in the City College of New York invites applications for a full-time tenure-track faculty position at the Assistant Professor level to start in Fall 2022. The City College of New York (CCNY) is part of the City University of New York (CUNY) system, with a strong tradition of excellence in science and engineering. CCNY has a graduate program in Mathematics at the Master's degree level. CCNY Mathematics faculty teach and supervise doctoral-level mathematics students through appointments at the CUNY Graduate Center. The department has strong and active research programs in a broad range of areas. Further information about the department can be found here: https://math.sci.ccny.cuny.edu/. Exceptional applicants from all areas of applied and pure mathematics will be considered. The greatest departmental needs for faculty are in statistics, probability, and those areas of applied mathematics most relevant to computational biology, machine learning and data science, and/or who are interested in establishing vibrant and collaborative research links with other disciplines at City College and CUNY. Instructional needs are at all levels, including undergraduate service and math major courses, and graduate courses at CCNY and CUNY Graduate Center, and particularly include our courses in applied mathematics, statistics, and probability. COMPENSATION: CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.

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Two post-docs positions for neural data analysis in Italy (Pisa)
by Alberto Mazzoni Dec. 13, 2021

Dec. 13, 2021

Dear all, I am looking with for two postdocs with previous experience in neural data analysis to join the neural engineering area of the Biorobotics Institute of the Scuola Superiore Sant'Anna https://www.santannapisa.it/en/computational-neuroengineering-laboratory https://www.santannapisa.it/en/institute/biorobotics/translational-neural-e… Projects include Alzheimer diagnostics, robotic rehabilitation, neuroprosthetics, Impulse Control Disorders in Parkinson. Last but not least, Tuscany is a great place to live! Please spread the voice and contact me if interested. Thanks, best Alberto Mazzoni */////////////////////////////////////////////////////* 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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Faculty Position in Computational Neuroscience at Ecole Polytechnique Federale de Lausanne (EPFL)
by Mathis Alexander Dec. 11, 2021

Dec. 11, 2021

Joint Faculty Position in Computer & Communication Sciences and Life Sciences The Schools of Computer and Communication Sciences (IC) and Life Sciences (SV) at EPFL invite applications for a faculty position at the intersection of life and computational sciences. We seek candidates who investigate biological systems as inspiration for new computational approaches. The appointment could be either at the assistant professor or tenured levels. The search is broad and all research areas at the intersection of life science and computer science will be considered. Research topics could be, but are not limited to, brain-inspired machine learning, artificial and biological intelligence, computational neuroscience, bio-inspired AI, bio-inspired low-energy computing, or DNA computing, … Further questions can be addressed to: George Candea and Wulfram Gerstner Chairs of the Faculty Recruiting Committee recruiting.icsv(a)epfl.ch<mailto:recruiting.icsv@epfl.ch> To apply: https://www.epfl.ch/about/working/joint-faculty-position-in-computer-commun… Best wishes, Alexander Mathis [cid:clip_image001.png] Alexander Mathis Tenure Track Assistant Professor people/alexander.mathis mathislab.org<http://mathislab.org>

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Faculty Positions at EPFL
by Petersen Carl Dec. 8, 2021

Dec. 8, 2021

Dear Computational Neuroscientists, I would like to encourage you to apply for the open faculty positions at EPFL: https://www.epfl.ch/about/working/faculty-positions-in-neuroscience/ https://www.epfl.ch/about/working/joint-faculty-position-in-computer-commun… Best wishes, Carl. - Prof. Carl Petersen Director, Brain Mind Institute Director, Laboratory of Sensory Processing Faculty of Life Sciences Ecole Polytechnique Federale de Lausanne (EPFL) CH-1015 Lausanne, Switzerland carl.petersen(a)epfl.ch<mailto:carl.petersen@epfl.ch> https://www.epfl.ch/schools/sv/bmi/ https://www.epfl.ch/labs/lsens/

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AREADNE 2022 Call for Abstracts
by John Pezaris Dec. 7, 2021

Dec. 7, 2021

AREADNE 2022 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 28 June - 2 July 2022 http://areadne.org info(a)areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2022, 28 June - 2 July 2022, our ninth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2022 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 21 January 2022; notifications will be provided by 22 February 2022. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org. We hope to see you at AREADNE 2022! Nicholas Hatsopoulos and John Pezaris, Co-Chairs AREADNE 2022 --- John S. Pezaris, Ph.D. AREADNE 2022 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

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Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 26.01.22
by Graduate Programs Dec. 7, 2021

Dec. 7, 2021

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience on Wednesday, January 26th, at 3pm (CET). The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2022-international-g…> for a more detailed schedule and registration link. Best regards and I hope that everyone is staying healthy, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Technische Universität Berlin Marchstraße 23; Raum 5.061; 10587 Berlin; Germany Tel: +49 (0)30 314 72006 SFB1315 - Network Outreach Coordinator PhD & Postdoc Cohort

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3rd BCI-UC: Voting open until Sunday
by Anja Meunier Dec. 6, 2021

Dec. 6, 2021

Dear colleagues, the voting period for the 3rd BCI Un-Conference is now open! Find the registration and voting portal here [1] [1]. We have received many excellent submissions, now it is your turn to vote for those that you would like to hear about during BCI-UC on January 27th, 2022. The voting portal will be open until Sunday, December 12th, 2021, 11:59 pm (CET). We will invite the authors of the top-voted abstracts to present at the un-conference. In addition, the 3rd BCI-UC will feature keynotes by Cynthia Chestek (University of Michigan) [2] and Thorsten Zander (TU Brandenburg) [3]. BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can submit abstracts to apply for 20 minutes presentation slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. Registration and attendance are free of charge. Presentations of the 1st and 2nd BCI-UC can be re-watched [4]. Join us in setting the BCIUC agenda! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/register-vote/ [2] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [3] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [4] https://bciunconference.univie.ac.at/past-events/ Links: ------ [1] https://bciunconference.univie.ac.at/register-vote/

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Announcement of Reopened Research Topic — Frontiers in Computational Neuroscience
by James R Kozloski Dec. 2, 2021

Dec. 2, 2021

In collaboration with Frontiers in Computational Neuroscience, we are announcing the launch of the Research Topic: Cortico-striato-nigro-thalamo-cortical Modeling for Understanding Motor Function and Neurodegenerative Disease vol II Hosted by Pengsheng Zheng, James Kozloski, Timothy Rumbell, George V. Rebec. We would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear: https://www.frontiersin.org/research-topics/28267/cortico-striato-nigro-tha… Movement in the body is directly controlled by motor cortex, and also determined by multiple subcortical structures, such as thalamus and the basal ganglia (including striatum and dopamine neurons in the substantia nigra). Many lines of evidence have suggested the cortico-striato-nigro-thalamo-cortical circuitry plays a major role in motor learning and control. This circuitry has also been investigated for its causal role in the onset and progression of neurodegenerative diseases. Neurodegenerative diseases are often associated with movement disorders and neuronal dysfunction in degenerated brain structures, such as the striatum in Huntington’s disease and dopaminergic neurons in the substantia nigra pars compacta in Parkinson's disease. Degeneration fundamentally changes the dynamics of local neuronal circuits, and these changes then propagate through the structural connectome of whole brain circuitry, eventually altering global brain dynamics. However, our current understanding of these system dynamics in the cortico-striato-nigro-thalamo-cortical circuitry remains rudimentary. Hence, theoretical studies about critical system variables and computational principles of this circuitry, constrained by recordings throughout, will shed new light on causes of motor dysfunction and neurodegenerative diseases. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of cortico-striato-nigro-thalamo-cortical network and experimental observations. Topics of interest include, but are not limited to, local brain circuit modeling, the functional role of neuronal plasticity in the local and global circuit, global circuit interactions and information exchange, new models validated by experimental observations, and dynamic disease risk analysis through perturbation studies. ____________________________________________________________ James Kozloski, PhD. Research Staff Member Manager, Multiscale Computational Modeling IBM Research, Healthcare and Life Sciences Research Member IBM Academy of Technology IBM Master Inventor IBM T.J. Watson Research Center P.O. Box 218 1101 Kitchawan Rd. Room 13-132E Yorktown Heights NY 10598 kozloski(a)us.ibm.com +1-914-945-3982 ibm.co/kozloski

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INCF endorses a new FAIR software best practice!
by INCF Dec. 2, 2021

Dec. 2, 2021

*INCF endorses the Five Recommendations for FAIR Software as a Best Practice* The Five Recommendations for FAIR Software <https://fair-software.eu/> aim to encourage the greater adoption of FAIR principles by providing a set of starting recommendations that researchers can use to improve the quality, reach, and reproducibility of their software. The recommendations were created by The Netherlands eScience Center <https://www.esciencecenter.nl/> and DANS <https://dans.knaw.nl/en/>, the Dutch national centre of expertise and repository for research data. The Five Recommendations for FAIR Software were endorsed on November 30, 2021, after a public comment period and review by the INCF SBP committee. Find their use cases here <http://bit.ly/SBP5recommendations>. Learn more about the recommendations here <https://bit.ly/5recommendationsblog>. /The INCF Secretariat

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Video recording from Online Workshop "Towards multipurpose neural network models II: Model testing and model fitting"
by Zélie Tournoud Dec. 2, 2021

Dec. 2, 2021

Dear colleagues, We are happy to inform you that the video recordings from the *Workshop on "Towards multipurpose neural network models II: Model testing and model fitting" *are now available to watch online: See the playlist here. <https://www.youtube.com/playlist?list=PLGAiaveljnk9yz_vMjlZckOMnObk1WtlJ> ** **It took placefrom 30 September to 01 October 2021 and has been organized by Anton Arkhipov (Allen Institute, Seattle), Gaute Einevoll (NMBU/University of Oslo), with the support of the European Institute for Theoretical Neuroscience. We hope the content for these videos will be of interest for you. Kind regards, *Zélie Tournoud*/ Communication manager at EITN/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay 151 route de la Rotonde Bâtiment 151 91400 Saclay https://www.eitn.org */Mailing address:/*/// UMR 9197 NeuroPSI BP 45 – 91940 Les Ulis Courtaboeuf/ **

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Doctoral position on foraging dynamics in natural environment.
by Ahmed El Hady Dec. 2, 2021

Dec. 2, 2021

We are offering a PhD position at the International Max planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) situated in the beautiful German town of Konstanz. It is a newly established highly interdisciplinary school that brings a full breadth of expertise from ecology to physics to computer science to neurobiology in order to understand animal behavior across the whole animal kingdom . For more information about the school, please check this website: https://www.ab.mpg.de/3228/imprs . The deadline for application is mid-january 2022: https://www.ab.mpg.de/406326/applications-2022 The PhD project I am offering is a joint project between my group and the group of Einat Couzin , both situated at the Center for advanced study of collective behavior and the Max Planck institute of Animal Behavior in Konstanz. Below are the details of the project ( https://www.ab.mpg.de/426580/Couzin-Fuch_El-Hady ): Foraging is a universal, evolutionary conserved, behavior as animals in nature forage in groups across large spaces looking for resources to satisfy their energetic needs. To date, laboratory experiments have been constrained to animals foraging in small spaces and in small groups. There is an increasing evidence that both neural and behavioral dynamics, however, are principally different in natural spatial scales. The project aims to investigate basic principles underlying foraging decisions in large-scale dynamic environments, that mimic natural habitats. We will focus on two very different model organisms, each exhibits different adaptations to foraging under conditions of considerable uncertainty: swarm-forming locusts and rats. The experiments will be performed at the imaging hangar in the visual computing of collective building at Konstanz University. The imaging hangar is the largest indoor animal imaging facility in the world, offering the opportunity to perform foraging experiments at an unprecedented scale. Using patch foraging as a quintessential behavioral paradigm, and a combination of high throughput continuous video tracking and quantitative modeling approaches, we aim to elucidate how foraging strategies are updated in a changing social and physical world. You will join our interdisciplinary team at the Max Planck Institute for Animal Behaviour (https://www.ab.mpg.de/) and the Excellence Cluster for the Advanced Study of Collective Behaviour (www.exc.uni-konstanz.de/collective-behaviour) The Max Planck Society and Konstanz University are equal opportunity employers that are committed to provide employment opportunities to all qualified applicants without regard to race, color, religion, age, nation, sexual orientation, gender identity, or disability. They seek to increase the number of women in those areas where they are underrepresented and therefore explicitly encourage women to apply. Requirements: • MSc in neuroscience, biology, physics and a clear interest in animal behaviour. • Quantitative skills. Proficiency in at least one programming language is required (C, Python or Matlab) • Good communication and writing skills. Supervisors: Ahmed El Hady ahady(a)ab.mpg.de Einat Couzin-Fuchs einat.couzin(a)uni-konstanz.de For more information , please do not hesitate to contact me.

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Diversity in Research Papers Award - applications by 21.12
by Abigail Morrison Dec. 1, 2021

Dec. 1, 2021

Dear colleagues, the Human Brain Project<https://secure-web.cisco.com/1W1yXA3r1eMXG2QECkXE7pE47kLRIgETwWjcqqDDu-0Bvs…> (HBP) launched the (DIRPA), inviting applications for the Best Diversity in Research Papers, i.e. publications that consider diversity traits such as sex, gender, age, ethnicity, etc. in their specific field of research such as neuroscience, AI or robotics. Differentiating variables has been recognised to be relevant from the level of stem cells to the reproduction of biases by AI applications. Considering sex/gender has become a mandatory requirement for Horizon Europe projects<https://secure-web.cisco.com/1N4suA7zlj2Htjj6Fi7aKdpAUd4iHisVvlrhWpFIHgjDbu…> (see also “Gendered Innovations” policy report<https://secure-web.cisco.com/1Z9Dobl_iN2xA4AcAe6cJuwwKTPhmwWVtRS87wuGclvzeA…>). The most outstanding papers will 1. be awarded with a certificate of honour. 2. be presented at the heart of a webinar to a large audience in a dedicated online event organised and promoted by the HBP<https://secure-web.cisco.com/1W1yXA3r1eMXG2QECkXE7pE47kLRIgETwWjcqqDDu-0Bvs…> and EBRAINS<https://secure-web.cisco.com/18-6-i2_g4ZweyCoaJtiyysPp45EhpsYRRnqKX35IoyD3n…>, where the authors will discuss their research related to diversity with Lutz Jäncke and further keynote speakers in April 2022. 3. be promoted with a news feature on the HBP and related Web Sites, as well as social media channels with several thousand followers. 4. especially early-stage researchers will receive a voucher for a HBP event of choice. Submission deadline: 21st December 2021 More information & submission: https://www.humanbrainproject.eu/en/about/gender-equality/measures-and-mate… _______________________________________________________ -- 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 2428 8097504 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD position on electrical stimulation-induced changes in neuroplasticity at Inserm, Rennes, France
by Elif Köksal Dec. 1, 2021

Dec. 1, 2021

*Title*: Neuro-inspired macroscale models of electrical stimulation-induced changes in neuroplasticity *Context*. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( https://www.galvani-lab.eu/) *Rationale*. Neuroplasticity refers to a wide ensemble of brain changes at cellular and network level that result from learning, practice, environmental influences, etc. In the normal brain, neuroplasticity is physiological process that allows for acquisition of new competences for instance. In the epileptic brain, neuroplasticity is a pathological process which alters the balance between excitation and inhibition giving rise to epileptic seizures. Neuroplastic changes may occur at different time scales (short and long) and may potentiate or, on the opposite, depress neuronal activity generated by brain circuits. Electrical stimulation (supra-threshold) and neuromodulation (sub-threshold) are two different methods that can be used to alter brain plasticity in order to lower hyperexcitability and subsequently decrease the occurrence of epileptiform events. *Objective*. This research focuses on neuromodulation. The objective of the proposed PhD position is to design neuroinspired macroscale models that will account for immediate (acute) and lasting (short- or long-term) effects of neuromodulatory weak electric fields, which remain elusive to some extent. *Methods*. After deep bibliographic review, biomathematical models to be developed will combine neurophysiological models of neuronal populations with mechanisms of action induced by weak electric fields on neuronal assemblies, typically on synaptic connectivity and firing rates. They will provide a unique framework to clarify and optimize the effects of dynamic E-fields induced by stimulation. They will be based on already-existing macroscale computational models which allow for simulation of epileptic activity (interictal spikes, ictal activity) generated by large-scale networks, as observed in human epilepsies. An issue to be solved is the translation from stimulation-induced short- and long-term effects at cellular level into average effects at population level. Optimization methods will be developed for identifying “therapeutic” neuromodulation parameters. Models will use the Neural Mass Model formalism (NMMs). They will be developed in Python. They will extend already-existing models at neural mass level. Strong background is available ( https://perso.univ-rennes1.fr/fabrice.wendling/) *Scientific domains*. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); Biology (neuroscience); Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. *Candidate profile*. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The candidate will preferably have some background in dynamical systems, computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing and in biophysics. Knowledge in electrophysiology and/or EEG analysis would be an asset. The PhD fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. *Contract*. The position will be opened* Feb. 1st, 2022*. The contract is for 3 years with possible extension (3 months). The salary will be defined according to Inserm rules regarding doctoral student remuneration. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the PhD fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. *Contact *(please provide resume and cover letter) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr Pascal Benquet (Professeur, LTSI, France) Email: pascal.benquet(a)univ-rennes1.fr Elif Koksal-Ersoz (Post-doc fellow, LTSI, France) Email: elif.koksal-ersoz(a)inserm.fr

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Postdoc / Junior Scientist positions in Prague, Czech Republic
by Magda Pokorna Dec. 1, 2021

Dec. 1, 2021

**1. Postdoctoral / Junior Scientist position in complex networks and information theory** is available to join the Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/> for the project: “Network modelling of complex systems: from correlation graphs to information hypergraphs“ funded by the Czech Science Foundation. More information and application at https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka5-2021/en** 2. Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning** is available to join the Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/> for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. More information and application at https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka6-2021/en ** ****** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz. Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Web: http://cs.cas.cz/hlinka

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3rd BCI-UC: Submission closes on Friday, December 3rd
by Philipp Raggam Nov. 30, 2021

Nov. 30, 2021

Dear Colleagues, The *abstract submission* for the 3rd Brain-Computer Interface Un-Conference (BCI-UC) *closes on Friday, December 3rd*, *at 11:59 pm (CET)* and the *voting period on submitted abstracts begins on Monday, December 6th* [1]. Abstract submissions are text-only. The length and format of the submissions are up to the authors - use whatever format you consider best for attracting up-votes! Important dates: - *Submission deadline: *December 3rd, 2021 at 11:59 pm (CET) - *Voting period:* December 6th, 2021 - December 12th, 2021 at 11:59 pm (CET) - *BCI-UC event:* January 27th, 2022, from 03:00 pm to 09:00 pm (CET) We will invite the *authors of the top-voted abstracts to present* at the un-conference. The 3rd BCI-UC will feature *keynotes* by *Cynthia Chestek* (University of Michigan) [2] and *Thorsten Zander* (TU Brandenburg) [3]. BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can *submit abstracts* to apply for *20 minutes presentation* slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. *Registration and attendance are free of charge*. Presentations of the 1st and 2nd BCI-UC can be re-watched at [4] and [5]. *All presentations will be streamed via Crowdcast* [6] and can be accessed free of charge. Join us in supporting this novel community-driven dissemination of research results! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/3rd-bci-uc/ [2] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [3] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [4] https://bciunconference.univie.ac.at/past-events/1st-bci-uc/ [5] https://bciunconference.univie.ac.at/past-events/2nd-bci-uc/ [6] https://www.crowdcast.io/ -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria

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Support open neuroscience this Giving Tuesday
by Heather Topple Nov. 30, 2021

Nov. 30, 2021

[image: Giving Tuesday.png] Support INCF’s mission to push global neuroscience further and faster Scientific progress is critical for providing our global community with cures and treatments for illnesses that cause pain and disability in so many lives. Neurological diseases are the leading cause of disability and the second leading cause of death worldwide, and mental health issues are increasing every year. While neuroscience has made significant progress in the last couple of decades, there is still much to do. A major barrier is that neuroscience is time-consuming and expensive. One way to remedy this is through the reuse and pooling of data and sharing of tools, which speeds discovery and increases sensitivity to the subtleties of brain function and disease. INCF facilitates this process by endorsing practical approaches and solutions for the application of open, FAIR, and citable neuroscience, and ensures impact through advocacy and efforts in training the next generation of neuroscientists in FAIR research management approaches. You can support our efforts by making a direct donation, or by sponsoring a membership for a student or colleague. Your gift will enable us to support open science for the global neuroscience community! *DONATE <https://incf.org/donate>* [image: GivingTuesday logo.png] ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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Apply Now: Shanahan Foundation Fellowship at the Allen/UW at the Interface of Data and Neuroscience
by Adrienne L Fairhall Nov. 29, 2021

Nov. 29, 2021

***Please forward** particularly to data scientists with a Ph.D. in quantitative fields such as computer science, statistics, electrical engineering, physics, mathematics* Shanahan Foundation Fellowship at the Interface of Data and Neuroscience Overview The *Shanahan Foundation Fellowship at the Interface of Data and Neuroscience* is a three-year fellowship program that aims to: · Integrate data scientists in neuroscience research · Challenge traditional approaches to neuroscience · Provide multidisciplinary, multi-organizational co-mentorship · Provide a network and community · Support career development in data science The fellowship is co-hosted by the Allen Institute and the University of Washington (through the eScience Institute and the Computational Neuroscience Center) and is directed by Dr. Christof Koch at the Allen Institute. *Neuroscience needs data scientists.* The brain represents one of the most complex challenges facing science today. And now with advances in our methods to study the brain—Neuropixel probes that can record from 1000 neurons at once, growing consensus on data standards across laboratories—the field is flooded with data that needs interpretation. The skills of data scientists are essential to springboard the field to the next stage of discoveries. Towards that end, the Shanahan Foundation Fellowship was created to bring fresh perspectives into the field, encouraging data scientists from outside neuroscience to come and work with leading investigators at the Allen Institute and UW. The Allen Institute is unique in its infrastructure and pipeline that enables the production of standardized, reproducible data on the brain (as evidenced by our vast *data banks* <http://www.brain-map.org/>*)*. Together with our collaborators at the UW computational Neuroscience Center and eScience Institute, we provide data scientists with the ideal opportunity and resources to mine for novel insights and discoveries. Details *You do not need experience in neuroscience to apply. *The goal of the fellowship is to provide opportunities to non-traditional applicants who would not typically be funded by the typical postdoctoral fellowships in neuroscience. The fellowship has been purposefully designed to give fellows the time and mentorship to get up to speed in a new field and new data collection techniques and methods*.* Fellows will be employed by the Allen Institute as either a Scientist I or a Scientist II (with a matching salary) and will receive an affiliate postdoctoral appointment at UW. During the three-year fellowship, fellows will identify a mentor at the Allen Institute, where the fellows will be based. Fellows will select a co-mentor at the University of Washington who will provide additional guidance on a project designed by the fellow, focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks <http://www.brain-map.org/> – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in the brains of mice, non-human primates and humans – or through ongoing laboratory work. Each fellow will have the opportunity to mentor a fully-funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows will participate in the postdoctoral career development program at the University’s *e-Science Institute* and the *UW Computational Neuroscience Center*. The eSciences Institute offers regular workshops on key topics including cloud computing, python and reproducibility. New fellows will attend the annual Summer Workshop on the Dynamic Brain <https://alleninstitute.org/what-we-do/brain-science/events-training/summer-…> where they will learn how to apply data science skills to neuroscience data and questions. Throughout the three years, fellows will be supported in developing a network in the neuroscience field and sharing their progress with peers at conferences. Up to three fellows will be selected to begin in Fall 2022. Eligibility Requirements Applicants must be data scientists in a broad sense, with a Ph.D. in a quantitative field such as computer science, statistics, electrical engineering, physics, mathematics or biology with a background in statistical, computational and machine learning methods. Ph.D.’s should have been awarded in the last 3 years. One goal of the fellowship is to build a network of collaborators, as such, priority will be given to applicants who are not currently postdoctoral fellows or scientists at the University of Washington or the Allen Institute. We believe high-quality science can only be produced when it includes different perspectives. We are building an environment of diversity and inclusion and encourage people from all backgrounds to apply for this fellowship. Application Instructions For full consideration, please submit your application by February 1, 2022. Applications may continue to be considered after this deadline on a rolling basis until positions are filled. Learn more and apply on the Shanahan Fellowship Website <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> . Applications must include: · A curriculum vitae from the applicant · Two letters of support from advisors and other mentors · A one-page personal statement from the applicant describing their history, activities, and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields. · A two- to three-page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals. · The choice of the final advisor/co-advisor will be accomplished during the first year of this fellowship. Questions? Email: shanahan.fellow(a)alleninstitute.org -- Sarah A. Stone, PhD Executive Director | eScience Institute Campus Box 351570 University of Washington Seattle, WA 98195 _______________________________________________ Escience_bbl mailing list Escience_bbl(a)u.washington.edu http://mailman12.u.washington.edu/mailman/listinfo/escience_bbl

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Software Engineer position for International Brain Laboratory
by Hannah M Bayer Nov. 29, 2021

Nov. 29, 2021

The International Brain Laboratory SOFTWARE ENGINEER <https://academic.careers.columbia.edu/#/85586> will work closely with our scientists to develop and deploy software and electronic hardware for experiment control, collection, storage, and data analysis. The experiments make use of complex control systems including video, audio, and fluidics, the data are processed by sophisticated algorithms including GPU-based deep networks, and then transferred automatically to a central database. The successful candidate will interface with scientists in our member laboratories (located in London, Lisbon, Geneva, Paris, New York City, Long Island, Princeton, San Francisco, and Ashburn VA) and with the core software development team based in Lisbon, to support experiments and ensure data is of high quality. The ideal candidate would have extensive experience with Linux, Python, Arduino systems, electronics, team programming, quality assurance, web design, and system administration. A flexible attitude, the ability to quickly adapt to new situations and learn new systems, and to work independently as part of a geographically distributed team, are essential. Experience with scientific research, networking, parallel computing, or relational databases would also be desirable. As this is a distributed collaboration, the candidate should be prepared to travel to all partner sites, with a home base in Lisbon, London or New York. RESPONSIBILITIES: - To develop and support software and hardware to collect and analyse neurophysiology recordings at worldwide partner sites - To help apply these algorithms to petabyte-scale data, to draw scientific conclusions about brain function. - To support the use of the resulting algorithms and software by laboratory members and by the worldwide scientific community. - To write online documentation and help author scientific publications describing the algorithms and discoveries made with them. Any questions prior to applying, please contact info(a)internationalbrainlab.org To apply: https://academic.careers.columbia.edu/#/85586 -- Hannah M. Bayer, PhD Executive Director International Brain Laboratory

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SCGB Virtual Postdoc/Student Meeting: Wednesday, December 1 by Olivia Gozel
by Laura Long Nov. 29, 2021

Nov. 29, 2021

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a virtual series to connect systems and computational neuroscientists independent of geography. We would love to see you at our next meeting! Please see event details and the Zoom link below. SCGB Virtual Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Wednesday, December 1st, 12pm Eastern Time https://simonsfoundation.zoom.us/j/94767192583?pwd=TXBKNXJQYzdGTmRUZTFlUUYz… Passcode: 429535 *Olivia Gozel* Postdoctoral Researcher, Doiron Laboratory The University of Chicago *Between-area communication through the lens of within-area neuronal dynamics* Neuronal dynamics range from asynchronous spiking to richly patterned spatio-temporal activity and are modulated by external and internal sources. Numerous experimental datasets show that the shared variability can be well described by a small number of latent variables, indicating coordinated trial-to-trial fluctuations within the population. Besides, cortical areas are connected through long-range excitatory projections, and it has been shown that there exists a communication subspace between connected but distinct brain areas that predicts spiking activity in a downstream area using upstream activity. However, little is known about the effect of neuronal dynamics on interactions between brain areas. Using a layered spiking network with within- and between-layer spatially structured connectivity, we show that pattern formation decreases within-area dimensionality similarly when spatio-temporal patterns emerge within a population or when they are inherited from a connected population. Yet, the fidelity of communication from an upstream to a downstream area, as estimated by a linear reduced-rank regression measure, is affected by the origin of pattern formation. Specifically, downstream activity is poorly predicted by upstream activity when spatio-temporal patterns emerge downstream, while it is particularly well predicted when shared fluctuations are mostly inherited from the upstream area. Interestingly, examination of spiking activity reveals that, even in the scenario with apparent disrupted communication, the downstream area is effectively driven by upstream activity, as expected from the strong feedforward connection strengths between layers. A mismatch in within-area dimensionality between upstream and downstream areas appears to underlie the seemingly weak communication. These results expose the limitations of linear measures when analyzing the flow of information in brain circuits with diverse neuronal dynamics. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

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Post-doctoral position advertisement
by Zaghloul, Kareem (NIH/NINDS) [E] Nov. 29, 2021

Nov. 29, 2021

Hi, I would like to post the following ad to the comp-neuro listserv. Would this be possible? I've attached a copy of the ad below. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 Position Type Postdoctoral Position at the NIH Position Title Human memory and sequences of single unit spiking activity Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing recordings of population spiking activity captured from the human cortex in awake participants with drug resistant epilepsy who are receiving intracranial EEG (iEEG) electrodes to monitor seizure activity. Single unit spiking activity from populations of neurons are captured through implanted microelectrode arrays. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making. We are specifically seeking a candidate who has a strong interest in understanding neural coding as represented by sequences of single unit spiking activity in the human cortex. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

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Postdoctoral Researcher position at University of Göttingen, CIDBN, SPP 2205
by von Behren, Christina Nov. 29, 2021

Nov. 29, 2021

Dear list, We would like to draw your attention to a postdoc opportunity at the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN), University of Göttingen: 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 January 1st, 2022. It is a fulltime position and is fixed until 31.03.2024. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.48 hours per week). The position will be associated with the group of Prof. Dr. 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 SPP 2205 "Evolutionary optimization of neuronal processing"<https://www.uni-goettingen.de/de/618311.html>. 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/Master's Degree 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 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 Wibral_lab(a)uni-goettingen.de by December 13, 2021. If you have any questions, please contact Prof. Dr. Michael Wibral via e-mail: michael.wibral(a)uni-goettingen.de. [cid:image003.png@01D7E52F.C6D6F9C0] 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 Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo Best Regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen Heinrich-Düker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Postdoc vacancy in A-eye (AI, eye, MRI) at CHUV - Lausanne, Switzerland
by Benedetta Franceschiello Nov. 29, 2021

Nov. 29, 2021

Dear Colleagues, Dr. Meritxell Bach Cuadra and I are looking for a postdoctoral researcher interested in the field of large-scale analysis of eye MRI (MReye) data with AI. Please find here attached the call and the link for postulating: https://recrutement.chuv.ch/vacancy/post-doctoral-position-on-deep-learning… Informal inquiries are welcome. Thank you very much, Kind regards, -- Benedetta Franceschiello, Ph.D. Research Scientist CIBM Center for Biomedical Imaging, EEG CHUV-UNIL Section LINE, Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne Tel: +41 787409774 Rue Centrale 7, CH-1003, Lausanne, Switzerland https://sites.google.com/view/benedettafranceschiello-phd/ I work flexibly - so whilst it suits me to email now, I do not expect a response or action outside of your own working hours.

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Positions in modeling at the Allen Institute
by Anton Arkhipov Nov. 29, 2021

Nov. 29, 2021

Dear colleagues, We are hiring for multiple positions in bio-realistic modeling at the Allen Institute. Please apply soon! For example, see this Scientist position: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1770679<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Falleninst…> If you don’t have a PhD (perhaps just finishing a BS or MS degree?), we would love to hear from you too. Please contact me at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. We are developing biologically realistic models of cortical circuits in the mouse brain at the level of a cortical area and the whole cortex. In collaboration with the group of Dr. Li-Huei Tsai at MIT, we investigate the cell type and circuit mechanisms of neuronal entrainment to periodic sensory stimulation at different frequencies. The project leverages the Allen Institute’s unique multi-modal data: https://portal.brain-map.org. Additional relevant resources and publications: * https://portal.brain-map.org/explore/models/mv1-all-layers<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * https://portal.brain-map.org/explore/connectivity<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * Iaccarino et al., Nature (2016); Adaikkan et al., Neuron (2019); Martorell et al., Cell (2019) The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for these roles. Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org

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Post-doc: biologically accurate computational models of thalamocortical circuitry
by Sean Hill Nov. 25, 2021

Nov. 25, 2021

Are you Interested in thalamocortical circuitry and its functions? We are seeking an outstanding candidate for a fully-funded post-doctoral position at Blue Brain, EPFL - in Geneva, Switzerland - to develop biologically-accurate computational models of thalamocortical circuitry. Please follow the link for more details and to apply: https://recruiting.epfl.ch/Vacancies/1755/Description/2 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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Computational neuroscience graduate/postdoc positions at UMD
by Daniel A. Butts Nov. 25, 2021

Nov. 25, 2021

The NeuroTheory Lab at University of Maryland (College Park) is recruiting graduate students and postdocs to work at the interface of systems-level neurophysiology and machine learning. The goal of our research is to understand how sensory neurons contribute to perception and behavior. Our premise is that such understanding necessarily involves interpreting large-scale recordings in sufficiently complex (“natural”) experimental contexts. We specialize in statistical modeling, which can directly test hypotheses about neural computations and their mechanistic underpinnings using large-scale neurophysiological recordings, in close collaboration with experimental labs. Information about current projects, as well as our recent work, can be found at: neurotheoryumd.github.io <http://neurotheoryumd.github.io/> We are interested in exceptional and highly motivated individuals with a quantitative background in physics, mathematics, engineering, or computer science. Applicants must also have working knowledge of systems/computational neuroscience, and be interested in pursuing this field. We encourage applications from members of under-represented groups. Our lab is set in the Biology Department in the spacious College Park campus in suburban Washington DC (accessible by metro), and also nearby to several collaborators at NIH. There are several graduate programs that we are affiliated with (primarily nacs.umd.edu <http://nacs.umd.edu/>) that have an application deadline of December 1. Please contact me if you are interested in applying to the lab as a graduate student or postdoc, with a CV and brief description of your interests and how they align. Dan Butts Associate Professor Department of Biology University of Maryland, College Park

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Doctoral position on causal inference and explainable AI at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop causal inference methods that generate human-interpretable concepts for explainable AI. These methods will be applied in close collaboration with other group members to study the link between neuronal activity and cognition in artificial and biological intelligent systems. We are looking for an intrinsically motivated student with a Master (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia! To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Doctoral position on AI / ML algorithms for invasive brain-computer interfacing at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position to develop artificial intelligence / machine learning algorithms for invasive brain-computer interfacing (BCI) in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop a language BCI based on invasive, single-cell recordings in a human subject. The project will be carried out in close collaboration with Simon Jacob at the Technical University Munich (http://simonjacob.de/) We are looking for an intrinsically motivated student with a Master's (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia. To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Multiple Ph.D. Positions in AI and Machine Learning at Indiana University Bloomington
by Zoran Tiganj Nov. 25, 2021

Nov. 25, 2021

The Center for Machine Learning at Indiana University brings together over 10 faculty working in areas including theory, reinforcement learning, statistical learning, speech and audio processing, robotics, planning and control, medical image processing, graphical models, computational neuroscience, computer vision, case-based reasoning, and deep learning. Please visit our Center website at https://cml.luddy.indiana.edu/people/. Together we have at least 10 PhD positions available for Fall 2022 admission. Topics include: - Algorithms for ML: scalable (e.g., parallel, distributed round/communication-efficient) algorithms for reinforcement learning, online learning, clustering. - Probabilistic ML: graphical models, efficient inference algorithms, applications, and computational/statistical learning theory. - AI: probabilistic planning, unsupervised learning, memory augmentation, reinforcement learning, and the connections between planning and probabilistic inference. - Robotics: planning, decision-making, and learning methods for autonomous robotic systems, and coordination approaches for distributed multi-robot or swarm systems. - Computer Vision: object and action recognition, 3D reconstruction, egocentric computer vision, deep learning, and graphical model inference. - ML and DL for speech/music/audio processing: speech enhancement, source separation, privacy and security for speech/audio applications, speech/audio coding, music information retrieval and music signal processing For all areas ideal candidates should have demonstrable strong math and theory skills and/or excellent programming and system building skills. Background in the relevant areas listed above is of course desirable. Applicants should have received a Bachelor’s degree in computer science, engineering, statistics, or related fields. The Center brings together faculty from different departments across the university, including Computer Science, Intelligent Systems Engineering, and Statistics. Each faculty has a home department (listed on the website above) but can advise students in other departments. Please mention the faculty with whom you would like to work in your Statement of Purpose. You may apply to multiple programs. For best consideration, please submit applications by these dates: - Computer Science: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Intelligent Systems Engineering: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Statistical Science: Priority deadline: January 15, 2022 For detailed information about the programs and application process, please visit: https://luddy.indiana.edu/admissions/apply/graduate.html Email inquiries: - For information about the admission process or requirements, please write goluddy(a)indiana.edu - For information about the Center for Machine Learning, please contact iucml(a)indiana.edu - For information about specific positions or projects, please write to the faculty member directly.

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Readership/Principal Lectureship in Robotics and Adaptive Systems at the University of Hertfordshire
by Volker Steuber Nov. 25, 2021

Nov. 25, 2021

Readership/Principal Lectureship in Robotics and Adaptive Systems School of Physics, Engineering and Computer Science University of Hertfordshire, Hatfield, UK Closing: 6. December 2021 Applications are invited for a Reader/Principal Lectureship on emerging topics in Robotics/AI, including, but not limited to: - Robotics: embodied and/or cognitive robotics, soft robotics, adaptive or evolutionary robotic design, robot safety and ethics, sensorics and robotics, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, human-robot interaction, agricultural robotics - Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms - Biological and biophysical computation paradigms, systems biology, neural computation - Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation #complexsystems - Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality - Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI #computeralgebra - AI and applications: financial modelling, AI and biology/physics/cognitive sciences - Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life #artificiallife Closing Date: 6. December 2021 To apply and for further information, please see: https://www.jobs.ac.uk/job/CKJ638/reader-principal-lecturer-in-robotics-and… 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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Postdoc at the University of Leicester to work on human single cell recordings
by Quian Quiroga, Rodrigo (Prof.) Nov. 23, 2021

Nov. 23, 2021

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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Research Fellow in Cognitive neuroscience at the University of Sussex
by Anil Seth Nov. 23, 2021

Nov. 23, 2021

Research Fellow in Cognitive Neuroscience University of Sussex (Sackler Centre for Consciousness Science) and the University of Glasgow Full time or part time hours considered up, fixed term for 15 months until 31 March 2023 (potentially extendable) Closing date: 1 December 2021. Starting date: As soon as possible Details and how to apply: https://www.sussex.ac.uk/about/jobs/research-fellow-in-cognitive-neuroscien… The Sackler Centre for Consciousness Science is seeking applications from a highly motivated post-doctoral research scientist to join Dreamachine - a ground-breaking new creative programme commissioned for UNBOXED, a collection of large-scale public engagement projects taking place across the UK next year. http://www.unboxed2022.uk www.dreamachine.world<http://www.dreamachine.world/> With a strong background in cognitive neuroscience or a similar discipline, programming and data management, you will work as part of a multidisciplinary team, including members of the Sackler Centre and collaborators at the University of Glasgow, to develop an interactive suite of online experiments investigating individual differences in perception. This project has the potential to engage millions of people within the U.K. Since 2010, The Sackler Centre for Consciousness Science has pioneered the multidisciplinary study of the biological basis of conscious experience. The Centre bridges four Schools at the University of Sussex: Informatics and Engineering, Psychology, Philosophy, and Brighton and Sussex Medical School (BSMS) and is internationally renowned as a beacon of excellence for consciousness science, its clinical application, and engagement and outreach within and beyond academia. Please contact Dr. D. Schwartzman: D.Schwartzman(a)sussex.ac.uk<mailto:D.Schwartzman@sussex.ac.uk> or Prof A. Seth (A.K.Seth(a)sussex.ac.uk<mailto:A.K.Seth@sussex.ac.uk>) for informal enquiries. The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero P Simoncelli Nov. 23, 2021

Nov. 23, 2021

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung (starting Sep 2022) - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams (starting Jan 2022) - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 4 January) [http://math.nyu.edu/degree/phd/] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Physics (deadline: 18 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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Three Postdoc at U Minnesota (fMRI / ML / UHF-fMRI 7T-10.5T/ Child Brain Development/Connectotyping)
by cristian morales Nov. 22, 2021

Nov. 22, 2021

Hi, hope you are doing well. can you please post the following announcement? feel free to get in touch if you have any questions thanks Come work with the DCAN Lab at the University of Minnesota! Several PIs are looking for postdocs interested in topics ranging from high field neuroimaging <https://hr.myu.umn.edu/jobs/ext/343116> to personalized functional connectivity <https://hr.myu.umn.edu/jobs/ext/344087> to machine learning/data science <https://hr.myu.umn.edu/jobs/ext/344086>. You'll get to work with some of the top researchers in the fields of brain imaging and child development. More info on each position Subtyping: https://hr.myu.umn.edu/jobs/ext/344086 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with Dr. *Eric Feczko*, MBI, PhD. This scientist should have a documented background and interest in child mental health research and also have experience with machine learning and data science, with interest to learn more about and understand developmental brain function in infants and children Connectotyping: https://hr.myu.umn.edu/jobs/ext/344087 - The Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Oscar Miranda-Domínguez*, MSC, PhD. The position will support studies using connectotyping to examine personalized maps of functional connectivity and longitudinal trajectories for the association between brain function and behavior. The work will also include support for other federally funded brain imaging studies on the development of attention, learning, and cognition. 7T/10.5T: https://hr.myu.umn.edu/jobs/ext/343116 - The Center for Magnetic Resonance Research (CMRR) and Developmental Cognition and Neuroimaging Lab (DCAN Lab) announces the availability of a postdoctoral position with *Damien Fair*, PA-C, PhD. This scientist should have a documented background and interest in using high field brain imaging (7T and 10.5T) in their research and also have experience using computational neuroscience, with interest to learn more about and understand developmental brain function in infants and children and/or non-human primates.

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10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior | Bonn, Germany
by Ezgi Bulca Nov. 22, 2021

Nov. 22, 2021

Dear colleagues, The International Max Planck Research School (IMPRS) for Brain & Behavior PhD applications are open with a deadline on December 1, 2021. Could you please forward our call to interested Master's students? Thank you! 10 fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior Bonn, Germany Apply to our fully funded, international PhD program in the Max Planck Society! IMPRS for Brain & Behavior is a PhD program in Bonn, Germany that offers a competitive world-class PhD training and research program in the field of neuroethology. IMPRS for Brain & Behavior is a collaboration between research center caesar<https://www.caesar.de/en/> (a neuroethology institute of the Max Planck Society), the University of Bonn<https://www.uni-bonn.de/en>, and the German Center for Neurodegenerative Disease (<https://www.dzne.de/en/about-us/sites/bonn/>DZNE) in Bonn<https://www.dzne.de/en/about-us/sites/bonn/>. The Projects 20 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://imprs-brain-behavior.mpg.de/faculty_members) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn, Germany. Your Profile * Proven track record of academic and research excellence * Master's degree in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by November 2022) * 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: December 1, 2021 https://imprs-brain-behavior.mpg.de/ 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 interviewed online in February 2022. Positions must be started latest in November 2022. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . Kind regards from Bonn, Ezgi 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/> https://twitter.com/IMPRSBrainBehav [IMPRS logo for email signature2] research center caesar 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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CFP: 8th Annual Conference of Cognitive Science Jan 2022, Abstract deadline: Nov 25
by Shyam Diwakar Nov. 20, 2021

Nov. 20, 2021

Hello All, I would like to cordially invite you and colleagues interested in or working on cognitive sciences, neurosciences or related topics to participate at ACCS8. This January 2022 event will be fully online. The abstract deadline is November 25, 2021. ACCS8: Call for contributions 8th Annual Conference of Cognitive Science (ACCS8) Amrita University, India – 20 – 22 January 2022 https://www.amrita.edu/accs8 The 8th edition of ACCS, to be hosted by Amrita Vishwa Vidyapeetham (Amrita University), Kerala, India will be held virtually. Registration will be free but mandatory to attend. List of our invited speakers, TPC and other info at https://www.amrita.edu/event/accs8 CONFERENCE TOPICS Like in our previous years, the ACCS8 conference is open to all topics with Cognitive Science as a discipline, and in various areas of study, including Neuroscience, Artificial Intelligence, Linguistics, Skilling, Medicine, Anthropology, Psychology, Philosophy, and Education. SUBMISSION GUIDELINES We welcome abstracts (min word limit:500) from all areas of cognitive science and from anyone worldwide. For the 2022 online event, we are accepting only abstracts containing the salient details of your study. Please copy and paste the title and abstract into the submission form. We are not accepting any paper-length submissions this year, so do include all relevant details in the abstract itself. A small number of abstracts will be selected for oral presentations/talks. Submission link: https://easychair.org/conferences/?conf=accs8 For CFP: https://easychair.org/cfp/accs8 CONFIRMED Keynote speakers: 1. Nandini Chatterjee Singh, UNESCO MGIEP, India. 2. Claudia Wheeler-Kingshott, University College London, UK. 3. Kenji Doya, Okinawa Institute of Science and Technology, Japan. 4. Egidio D'Angelo, University of Pavia, Italy 5. Ned Block, New York University, USA. 6. Bhavani Rao, Amrita University, India. IMPORTANT DATES Abstract submission deadline November 25, 2021 BEST PAPER AWARDS We are planning some best poster and oral presentations. Please stay tuned. CONTACT All questions about submissions should be emailed to accs8conference(a)gmail.com<mailto:accs8conference@gmail.com> Previous ACCS events - https://www.amrita.edu/event/accs8/about Thank you and kind regards, Shyam Diwakar Local organizer - ACCS8 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgi…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information.

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Online Cognitive Science Master's Program
by mcruz＠uni-osnabrueck.de Nov. 19, 2021

Nov. 19, 2021

Dear all, We are now accepting applications for the 2022 summer term! The Institute of Cognitive Science at Osnabrück University is offering a digital track to the Cognitive Science M.Sc. program. The DAAD-funded program targets international students who can complete the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. Deadline: January 15, 2022 You can find more information on our website: https://vt.uos.de/cosmos Please do not hesitate to contact us for further questions. Best, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

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Next INCF/OCNS Software WG Dev session: Software Citation Principles: 22, 2021, 1600 UTC (Daniel S Katz, Neil Chue Hong)
by Ankur Sinha Nov. 18, 2021

Nov. 18, 2021

Dear all, Apologies for the cross posts. In the next dev session at the INCF/OCNS Software Working Group, Daniel S Katz and Neil Chue Hong will discuss principles of citing research software. https://ocns.github.io/SoftwareWG/2021/11/01/dev-session-daniel-s-katz-neil… Where: Zoom: https://ucl.zoom.us/j/94578141033?pwd=SlZBcEluT2svUWhseGFHMUVLWFB0UT09 When: November 22, 2021, 1600 UTC The abstract for the talk is below: ----------------------------------- Today, software is a key part of almost all research, and the development and maintenance of this software is done by human beings, often in academia. It's essential that these activities be seen as a valued element of scholarly work so that the people who do it have career paths that encourage them to continue to do it. One means of accomplishing this is to use the existing scholarly citation system. The FORCE11 Software Citation working group[1] developed a set of Software Citation Principles in 2016[2], and since then, the FORCE11 Software Citation Implementation working group[3] has been working with many types of stakeholders, including publishers, repositories, and standards, to implement the principles. We'll talk about this work, the changes we've seen, what still needs to be done, and how the INCF community can participate. [1] https://www.force11.org/group/software-citation-working-group [2] https://www.force11.org/software-citation-principles [3] https://www.force11.org/group/software-citation-implementation-working-group The session is open to all, but requires you to login to Zoom to limit spam. Please do forward this to your colleagues. On behalf of the INCF/OCNS Software working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Postdoctoral Position in Astrocyte and Vasculature Modeling at Blue Brain, EPFL
by Daniel Keller Nov. 17, 2021

Nov. 17, 2021

*BBP- Postdoctoral Position in **Astrocyte and Vasculature **Modeling* A postdoctoral position in modeling of neuro-glia-vasculature is available at the Blue Brain Project at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (www.epfl.ch) The Blue Brain Project, based in Geneva, Switzerland, performs large-scale simulations of the brain. The proposed research will extend a model of astrocytes and vasculature to model calcium within detailed structural models of astrocytes in various brain regions, and to investigate aspects of coupling to vasculature. The position entails development of methods and systems to perform multi-scale modeling and integrate knowledge of the signaling pathways involved in glial messaging. The ideal candidate will have a Ph.D. in computational neuroscience or related field. Experience in modeling of metabolism, blood flow, and/or biochemical signaling cascades is desired. Strong biology and mathematical background, as well as coding competence in Python, C++, and NEURON would also be useful for the position. We are looking for highly motivated individuals to be part of a highly multidisciplinary group working at the interface of neuroscience, physics and computer science. Candidates should possess good writing, collaboration, and communication skills. Selected candidates will join a prestigious project that is pioneering simulation neuroscience research, composed of a young, dynamic, interdisciplinary, and international team. We offer a state-of-the-art working environment based at the Biotech Campus in Geneva ( http://www.campusbiotech.ch/en/ ) with access to cutting-edge simulation, informatics and computing facilities. More information and application instructions can be found at: https://recruiting.epfl.ch/Vacancies/2032/Description/2

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Two Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang Nov. 16, 2021

Nov. 16, 2021

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

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Fully funded PhD and postdoc positions in Computational Neurosciences at Maastricht University
by Jolivet, Renaud Nov. 15, 2021

Nov. 15, 2021

Dear Colleagues, My department has 1 fully-funded postdoc position and multiple PhD positions for Chinese students to apply to via the Chinese Scientific Council: 1. I am recruiting a postdoc to work on our European EIC Pathfinder Open grant IN-FET (https://cordis.europa.eu/project/id/862882) to develop a new type of brain-machine interface. I am looking for a postdoc with experience in the computational modelling of neuronal biophysics at the cellular and sub-cellular levels, and an interest in using that knowledge to develop equivalent neural network models. The IN-FET project aims at developing a new type of interface for neural tissue that works by modulating the extracellular concentrations of key ionic species. Experience with COMSOL desired but not mandatory. FTE work based in Maastricht, but with frequent trips to Northern Italy anticipated (Trieste region). Attractive conditions, position funded for 27 months. Anticipated start date Jan 2021. 2. Our department is looking to attract Chinese students willing to apply with us for PhD positions funded by the Chinese Scientific Council. Positions are funded for 4 years. The following projects are available in our department: * https://www.maastrichtuniversity.nl/file/2021fsebreueragingmetabolicmodelin… * https://www.maastrichtuniversity.nl/file/2021fsejolivetmechanismsandroleofa… * https://www.maastrichtuniversity.nl/file/2021fseadriaensthegeneticunderpinn… Another project is available to investigate the metabolic profile of different glial cell types. If interested, contact me at r.jolivet(a)maastrichtuniversity.nl<mailto:r.jolivet@maastrichtuniversity.nl> or DM me at twitter.com/RenaudJolivet<http://twitter.com/RenaudJolivet>. Cheers, Renaud — Prof. Renaud B. Jolivet Neural Engineering and Computation, Chair Maastricht University Organization for Computational Neurosciences, Board of Directors Initiative for Science in Europe, External Policy Advisor and Board Member Marie Curie Alumni Association, Vice-Chair of Policy +41798302129 (mobile) ‭+31433881741 (office)‬ r.jolivet(a)maastrichtuniversity.nl<mailto:renaud.jolivet@unige.ch> twitter.com/RenaudJolivet<https://twitter.com/RenaudJolivet> linkedin.com/in/renaud-jolivet-63b5534<http://linkedin.com/in/renaud-jolivet-63b5534> scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en<https://scholar.google.ch/citations?user=9Ozwv7EAAAAJ&hl=en>

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Call for Papers: Reproducibility in Neuroscience
by Alberto Antonietti Nov. 15, 2021

Nov. 15, 2021

Are you interested in making neuroscience more reproducible? Have you already tried to replicate a study? Are you bothered by the "Data and code are available upon reasonable request"? If your answer to one of the previous questions is "yes", then you could be interested in this call for papers. With this research topic, we aim to stimulate neuroscientists from all fields to design and publish works that rigorously attempt to reproduce landmarks or controversial studies: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… We are inviting papers on both: - "Results reproducibility", i.e., obtain the same results from an independent study with procedures as closely matched to the original study as possible; - "Inferential reproducibility", i.e. draw the same conclusions from either an independent replication, using different research methodologies, of a study or a reanalysis of the original data. Are you interested in making neuroscience more reproducible? Have you already tried to replicate a study? Are you bothered by the "Data and code are available upon reasonable request"? If your answer to one of the previous questions is "yes", then you could be interested in this call for papers. With this research topic, we aim to stimulate neuroscientists from all fields to design and publish works that rigorously attempt to reproduce landmarks or controversial studies: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… We are inviting papers on both: - "Results reproducibility", i.e., obtain the same results from an independent study with procedures as closely matched to the original study as possible; - "Inferential reproducibility", i.e. draw the same conclusions from either an independent replication, using different research methodologies, of a study or a reanalysis of the original data. We will consider both confirmatory and negative results, the unique criteria will be the rigorousness, fairness, and soundness of the replication study. Authors are required to make all materials and methods used to conduct their research available to other researchers. Data and codes used to analyze results must comply with FAIR principles and should preferably be uploaded to an online repository providing a global persistent identifier (e.g., OSF, Harvard Dataverse, Zenodo). Authors are also strongly encouraged to subject their codes to an independent audit at codecheck.org.uk. I’m very pleased to be launching a new article collection, Reproducibility in Neuroscience, together with an expert editorial team: - Alberto Antonietti - Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland - Nele A Haelterman - Baylor College of Medicine, Houston, United States - Reeteka Sud - National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India - Nafisa M Jadavji - Midwestern University, Glendale, AZ, United States - Denes Szucs - University of Cambridge, Cambridge, United Kingdom We’re now in the process of putting together a group of top researchers whose work we’d like to feature in this collection, and we would like you to participate. The research topic is hosted by Frontiers in Integrative Neuroscience, you can find all information here: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… Important notice on Publishing Fee (APC) support: If Frontiers publishing fees are too high for your funding situation, you are eligible for full or partial APC fee support. In order to apply to fee support, please complete the fee support application form online, and allow up to two weeks for Frontiers to review and reply to your request: https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1 More information can be found at: https://www.frontiersin.org/about/fee-policy Please get in touch if you have any questions - looking forward to hearing from you. Alberto On behalf of the Topic Editors. We will consider both confirmatory and negative results, the unique criteria will be the rigorousness, fairness, and soundness of the replication study. Authors are required to make all materials and methods used to conduct their research available to other researchers. Data and codes used to analyze results must comply with FAIR principles and should preferably be uploaded to an online repository providing a global persistent identifier (e.g., OSF, Harvard Dataverse, Zenodo). Authors are also strongly encouraged to subject their codes to an independent audit at codecheck.org.uk. I’m very pleased to be launching a new article collection, Reproducibility in Neuroscience, together with an expert editorial team: - Alberto Antonietti - Blue Brain Project, Ecole polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland - Nele A Haelterman - Baylor College of Medicine, Houston, United States - Reeteka Sud - National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India - Nafisa M Jadavji - Midwestern University, Glendale, AZ, United States - Denes Szucs - University of Cambridge, Cambridge, United Kingdom We’re now in the process of putting together a group of top researchers whose work we’d like to feature in this collection, and we would like you to participate. The research topic is hosted by Frontiers in Integrative Neuroscience, you can find all information here: https://www.frontiersin.org/research-topics/26709/reproducibility-in-neuros… Important notice on Publishing Fee (APC) support: If Frontiers publishing fees are too high for your funding situation, you are eligible for full or partial APC fee support. In order to apply to fee support, please complete the fee support application form online, and allow up to two weeks for Frontiers to review and reply to your request: https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1 More information can be found at: https://www.frontiersin.org/about/fee-policy Please get in touch if you have any questions - looking forward to hearing from you. Alberto On behalf of the Topic Editors -- Questa email è stata esaminata alla ricerca di virus da AVG. http://www.avg.com

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Research Fellow "Machine Learning for Science" in Tübingen
by Philipp Berens Nov. 14, 2021

Nov. 14, 2021

We have several positions to fill as Research Fellow "Machine Learning for Science" with potential runtime until 12/2025. We are searching at the postdoctoral level, for details see: https://www.nature.com/naturecareers/job/machine-learning-for-science-resea… Best Philipp -- -- Professor of Data Science for Vision Research Institute for Ophthalmic Research, University of Tübingen Cluster of Excellence "Machine Learning - New Perspectives for Science" www.berenslab.org

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PhD Position - A framework for automated inference, quality assessment and model enhancement of physics-based simulation models
by Philipp Benner Nov. 13, 2021

Nov. 13, 2021

Dear colleagues, We are looking for a PhD student for the following project: For the design of safety critical components and structures, it is vital to ensure that integrity and reliability are maintained under all environmental conditions and feasible parameter settings. Physics based simulation models such as the Finite Element Method provide means to explore the behavior of a structure for many more scenarios than what can be measured experimentally. The development of an appropriate model either on the structural level or for the constitutive behavior of the materials involved is a complex task. The modelling assumptions can only be validated based on experimental data, which are either provided by databases with lab tests under different conditions on the material scale, or using monitoring techniques for a structural modelling problem. The challenge is that simulation models usually have multiple parameters that jointly influence the simulation results , i.e. there is not a one to one mapping between a single parameter and a single data set. As a consequence, an inverse problem has to be solved. The goal of this proposal is to 1. automate the procedure of calibrating model parameters based on experimental data including objective measures of the model quality 2. identify model discrepancies - which is particularly difficult for large datasets - by combining using Gaussian process models with physics based models 3. and suggest model improvements based on a dictionary type of learning procedure. All of the procedures are implemented in a Bayesian framework to account for measurement and model uncertainties. The validation of the developed methods is initially performed using virtual experiments allowing to directly prescribe model deficiencies and compare the identified models to the ground truth. The implementation of the models is done in an open source framework. As a consequence, the procedures are planned to be validated in parallel projects on real data sets. Details: https://www.bam.de/umantis/EN/952.html Kind regards, Philipp Benner

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PostDoc validation of safety-critical ML methods
by Philipp Benner Nov. 13, 2021

Nov. 13, 2021

Dear colleagues, We have another exciting postdoc position: The digitization of engineering and materials science offers a wide range of options for optimizing manufacturing processes and testing procedures. Machine learning methods in particular show great potential here, e.g. in the prediction of material properties, the optimization of process parameters or as meta models for complex physical models in the context of a digital twin. The application of machine learning methods to safety-critical issues requires robust, explainable and generalizable models that can in particular also provide estimators for the accuracy of the model prediction. In the field of engineering, the dimensionality of the input data is also relatively large, combined with a relatively small number of data records. The aim is to develop methods that make it possible to apply ML methods taking into account statistical methods for safety-critical questions, and in particular to integrate additional information from physical models (described by partial differential equations). This sub-project is a collaboration between Department 7.7 “Modeling and Simulation” and Section S.3 “eScience”. The position is embedded in the additive manufacturing competence center and is financed by the QI-Digital (quality infrastructure) project. The project is integrated into an international research environment and requires active networking with industry and research. Further information: https://www.bam.de/umantis/EN/1024.html <https://www.bam.de/umantis/DE/1024.html> Kind regards, Philipp Benner

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COSYNE 2022: Abstract submission closes soon
by Tomas Hromadka Nov. 11, 2021

Nov. 11, 2021

==================================================== Computational and Systems Neuroscience 2022 (Cosyne) MAIN MEETING 17 - 20 March 2022 Lisbon, Portugal WORKSHOPS 21 - 22 March 2022 Cascais, Portugal 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. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission is 20 November 2021. 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, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission is now open Abstract submission deadline: 20 November 2021 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 SPEAKERS Eugenia Chiappe (Champalimaud Centre for the Unknown) Albert Compte (IDIBAPS, Barcelona) Sandeep Robert Datta (Harvard Medical School) André Fenton (New York University) Kate Jeffery (University College London) Ann Hermundstad (Janelia Research Campus, HHMI) Michael A. Long (New York University) Christian Machens (Champalimaud Centre for the Unknown) Asya Rolls (Technion - Israel Institute of Technology) Susanne Schreiber (Humboldt-Universität zu Berlin) Maryam Shanechi (University of Southern California) Scott Waddell (University of Oxford) Martha White (University of Alberta) ORGANIZING COMMITTEE General Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Program Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Workshop Chairs: Anna Schapiro (U Penn) and Blake Richards (McGill) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Gabrielle Gutierrez (Columbia) and Stefano Recanatesi (U Washington) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Development Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Maja Bialon PROGRAM COMMITTEE Laura Busse (U Munich) Tim Vogels (IST Austria) Athena Akrami (UCL) Omri Barak (Technion) Brice Bathellier (Paris) Bing Brunton (U Washington) Yoram Burak (Hebrew University) SueYeon Chung (Columbia) Christine Constantinople (NYU) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Alexander Ecker (Göttingen) Tatiana Engel (Cold Spring Harbor) Annegret Falkner (Princeton) Kevin Franks (Duke) Jens Kremkow (Berlin) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Emilie Mace (MPI Neurobiology) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Jill O'Reilly (Oxford) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montréal) Yiota Poirazi (FORCE) Nathalie Rochefort (Edinburgh) Cristina Savin (NYU) Daniela Vallentin (MPI Ornithology) Brad Wyble (Penn State) 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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Two postdoctoral positions at Harvard
by Cengiz Pehlevan Nov. 11, 2021

Nov. 11, 2021

Dear colleagues, We have two postdoctoral positions at Harvard that may be of interest. 1) The George F. Carrier Postdoctoral Fellowship. This prestigious independent position at Applied Mathematics is open to candidates with a wide range of interests, including neuroscience and machine learning. Even though the listed deadline has passed, we are still accepting applications. Details are here: https://academicpositions.harvard.edu/postings/10697 <https://academicpositions.harvard.edu/postings/10697> 2) Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems. We are looking for exceptional junior scientists to work collaboratively with a group of faculty from Computer Science (Boaz Barak), Statistics (Lucas Janson), Electrical Engineering (Demba Ba) and Applied Mathematics (Cengiz Pehlevan) towards a theory of representations in artificial and natural systems. Details are here (towards the bottom of the page): https://academicpositions.harvard.edu/postings/10730 <https://academicpositions.harvard.edu/postings/10730> Best wishes, Cengiz

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque Nov. 11, 2021

Nov. 11, 2021

*Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering three post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (São Paulo or Ribeirão Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of neurobiological data. Candidates to the first research line are required to have a strong background in probability theory with emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. The initial appointment is for one year, with a possible extension to up to three years, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the two aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. Timetable: Candidates are encouraged to apply at their earliest convenience until December 12, 2021. Appointments are expected to start by February or March 2022. The initial period of the position lasts for 12 months, with possible renewals for up to three years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of BR 7,373 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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ERC-funded Postdoc position in computational neuroscience and modelling of salamander locomotor circuits, EPFL, Lausanne, Switzerland
by Auke Ijspeert Nov. 11, 2021

Nov. 11, 2021

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/) at EPFL (Lausanne, Switzerland) has one open postdoc position in computational neuroscience and modeling of salamander locomotor circuits. The position is part of the Salamandra project, a Synergy grant funded by the ERC that started in September 2021, together with Prof. Andras Simon (Karolinska Institute, Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to investigate their regenerative properties after spinal cord lesions. The models will likely be based on integrate-and-fire neuron models, but other models could also be investigated (e.g. rate-based). The position is fully funded for 2 years (and can be extended to 4 years in total). EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates should have a Ph.D. and a strong publication record in computational neuroscience. An ideal candidate would have prior experience in: * Numerical models of oscillatory (spinal) circuits * Movement and locomotion control * Integrate-and-fire neural models (or similar neuron models) * Good management skills are a plus. Fluency in oral and written English is required. *How to apply for the position:* Postdoctoral applications should consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it), a full CV, two or three relevant publications, and the email addresses of two or more referees. PDF files are preferred. Please send your application and any inquiry by email to auke.ijspeert(a)epfl.ch. Information concerning the type of research carried out by the lab can be found at https://www.epfl.ch/labs/biorob/ . *Deadline and starting date:* Applications are requested starting from now**, and will then be processed as they arrive until the position is closed. The ideal starting date is *early 2022* (with some flexibility). *Contact:* Information concerning the type of research carried out by the lab can be found at https://www.epfl.ch/labs/biorob/ . You should send your application and any inquiry by email to auke.ijspeert(a)epfl.ch -- ----------------------------------------------------------------- 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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Dec 13, 14 Workshop: The free energy principle of the brain: experiments and verification
by Hideaki Shimazaki Nov. 11, 2021

Nov. 11, 2021

Dear colleagues, We are pleased to invite you to *an online two-day workshop on the free energy principle and active inference, focusing on its experimental verification and biological implementation*. The time is set for EU/UK and East Asia. Please visit our website for registration (free): https://sites.google.com/view/free-energy-workshop Workshop title: *The free energy principle of the brain: Experiments and verification* Date: 2021 Dec 13 (Mon) and 14 (Tue) Place: Online (Registration required) Invited Speakers and Titles: *Takuya Isomura* (RIKEN CBS) Active inference and the emergence of sentient behaviour *Hitoshi Okamoto* (RIKEN CBS) Zebrafish as a model animal for studying active inference *Beren Millidge *(U Oxford) The FEP, Predictive Coding, and Backpropagation in the Brain *Rafal Bogacz* (U Oxford) Dopamine: precision of action selection or prediction error *Naoki Honda* (Hiroshima U) Decoding reward-curiosity conflict in probabilistic bandit task *Miguel Aguilera* (Sussex U) When can we interpret organisms as performing Bayesian inference? *Jun Tani *(OIST) Cognitive Neurorobotics Study Using the Free Energy Principle *Ken-ichi Amemori *(Kyoto U) Neuroscientific and computational basis of anxiety in primates: conflict decision and risk aversion *Rosalyn Moran* (King's Colledge London) Active Inference from Neurobiology to Blackjack We are looking forward to your active participation! Sincerely, Hideaki on behalf of organizers Hideaki Shimazaki, CHAIN Hokkaido University Masatoshi Yasuda, CHAIN Hokkaido University Mark Miller, CHAIN Hokkaido University Takuya Isomura, RIKEN CBS Naoki Honda, Hiroshima U Christopher Buckley, Sussex U --- Hideaki Shimazaki, Ph.D Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) Hokkaido University https://www.neuralengine.org

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A Dendrites Virtual Workshop hosted at Emory University Dec. 7.
by Jaeger, Dieter Nov. 10, 2021

Nov. 10, 2021

Dear Colleagues: We are pleased to invite you to our virtual workshop entitled "Are dendrites necessary for cortical computation?” to be held on Tuesday, December 7, 10:00am - 1:00 pm EST. This workshop is in the series of Emory University Initiative in Theory And Modeling of Living Systems (TMLS, http://livingtheory.emory.edu) virtual workshops, exploring provocative questions on the interface of biology and physical sciences. See https://www.youtube.com/c/EmoryTMLS for recordings of previous workshops in the program. Abstract: Many network models for modeling cortical function are built with single compartment units using a variety of more or less simple integrate and fire dynamics. On the other hand, many biologically oriented research groups place great emphasis on the complex and detailed properties of active processing in pyramidal neuron dendrites. The question to be addressed in this workshop is whether essential computational properties of biological cortical networks rely on dendritic processing, and if so, which? Finally, could such properties be formalized in simpler ways than using full biophysical detail and substantially add to the function of more abstract network modeling? Six exciting speakers will present their thoughts on the matter, and the audience will be able to interact with them in real time, asking questions through the YouTube comments interface. Free registration is requested at: https://forms.gle/9HzNgrYbJPYBUfSw9<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.gle…> We expect to stream the workshop live at the TMLS YouTube channel https://www.youtube.com/c/EmoryTMLS and we will send information, updates/changes to all registered participants before the workshop begins. Confirmed Speakers and Titles: Dieter Jaeger, Emory University, Introduction Claudia Clopath, Imperial College London Brent Doiron, University of Chicago “Cell specific inhibitory plasticity in assembly formation” Bartlett Mel, University of Southern California "How to optimize a dendrite for binary subunit pooling” Yiota Poirazi, IMBB-FORTH Crete “Dendritic solutions to logical operations in models of human neurons” Andreas Stöckel, University of Waterloo. “Passive Dendrites as a Computational Resource in the Neural Engineering Framework” Xiao-Jing Wang, New York University “Dendritic gating in the whole neocortex” Please feel free to forward this announcement to anyone that you think might be interested. Hope to see you there! Thank you, Dieter Jaeger (workshop organizer) Dieter Jaeger Professor, Department of Biology Emory University djaeger(a)emory.edu<mailto:djaeger@emory.edu> https://scholarblogs.emory.edu/jaegerlab/

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Second session of the Brains Through Time Reading Club
by manuel molano Nov. 10, 2021

Nov. 10, 2021

Dear all, We would like to bring to your attention the second session of the Brains Through Time Reading Club<https://sites.google.com/view/bbtreadingclub/home>! It will be on the first of December (6pm CEST / 12 EST) and will include the participation of Maria Tosches<https://www.biology.columbia.edu/people/tosches>, Luis Puelles<https://scholar.google.com/citations?user=nIoLKVAAAAAJ&hl=en> and Paul Cisek<https://cisek.org/pavel/>. We will dedicate ~2 hours to present and discuss the main ideas of the second chapter of the book: The Origin of Vertebrates: Invertebrate Chordates and Cyclostomes. You can register HERE<https://www.crowdcast.io/e/brains-through-time-2>. In case you missed the first session, you can watch it HERE<https://www.youtube.com/watch?v=cErEJTa2GUc&ab_channel=TheBrainingClub> or read a quick summary of the first chapter HERE<https://twitter.com/TheBrainingClub/status/1445105424722767877>. See you there! The Braining Club About the BTT reading club: As the name implies, the idea is to review the book Brains Through Time<https://oxford.universitypressscholarship.com/view/10.1093/oso/978019512568…>, by Georg Striedter<https://www.faculty.uci.edu/profile.cfm?faculty_id=3006> and Glenn Northcutt<https://en.wikipedia.org/wiki/Glenn_Northcutt>. Brains Through Time is a masterful synthesis of much of what is known about brain evolution, and offers great insights to anyone interested in a broad understanding of how the brain produces behavior.

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PhD positions in Math Biology & Computational Neuroscience at NJIT
by Victor Matveev Nov. 9, 2021

Nov. 9, 2021

Dear all, The Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT) invites candidates to apply for 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, and Applied Probability and Statistics, including Biostatistics and Data Science. We offer teaching and research assistantships, which include a tuition waiver, a competitive stipend starting at $25,000 per academic year and, pending funding availability, at least $3,500 in summer support. The application target date is December 15, 2021, but review will be ongoing until all available positions are filled. New Jersey Institute of Technology is a "Research I" University by Carnegie Classification, with a campus in the city of Newark. NJIT is conveniently located in close vicinity to many other centers of research in mathematical biology and neuroscience, across the street from Rutgers-Newark, and within about 40 min of New York City by public transportation. To apply, go to: https://www.njit.edu/graduatestudies/department-mathematical-sciences/ For more information, please email us (math(a)njit.edu, CC to: shahriar.afkhami(a)njit.edu) Program flyer is posted here: https://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf Sincerely --Victor Matveev (on behalf of the Admissions Committee ) -- _____________________________________________ 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@njit.edu http://web.njit.edu/~matveev/

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Announcing DENDRITES 2022
by Yiota Poirazi Nov. 8, 2021

Nov. 8, 2021

Dear colleagues, We are pleased to announce that after the cancellation of our 2020 meeting because of the covid-19 pandemic, DENDRITES 2022 will take place in Heraklion, Crete on 23-26 May 2022. This is the 4th of a very successful series of meetings on the island of Crete that is dedicated to dendrites. The meeting will bring together scientific leaders from around the globe to present their theoretical and experimental work on dendrites. The meeting program is designed to facilitate discussions of new ideas and discoveries, in a relaxed atmosphere that emphasizes interaction. DENDRITES 2022 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 23-26 May 2022 http://meetings.embo.org/event/20-dendrites *Organizing committee:* Yiota Poirazi, IMBB-FORTH, GR Kristen Harris, University of Texas-Austin, US Michael Häusser, University College London, GB Matthew Larkum, Humboldt University of Berlin, DE *Registration and abstract submission will open soon at:* http://meetings.embo.org/event/20-dendrites Submissions of abstracts are due by *February 1st, **2022.* Notifications will be provided by February 28th, 2022. Potential attendees are strongly encouraged to submit an abstract as presenters will have registration priority. For more information about the conference, please refer to our web site or send email to info(a)mitos.com.gr We look forward to seeing you at DENDRITES 2022! on behalf of the organizers, Yiota Poirazi -- 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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hybrid IEEE WIE ILS on December 2nd and 3rd, 2021
by Marianna Semprini Nov. 8, 2021

Nov. 8, 2021

Dear all, We are pleased to announce the IEEE Women in Engineering International Leadership Summit as a hybrid event to be held on December 2nd and 3rd, 2021 both online and in person in Genova, Italy (limited seats available, green pass required). Information and registration form can be found here: https://wieils-italy.eu/ The IEEE WIE ILS is an internationally acclaimed program of IEEE Women in Engineering, which is one of the world's largest technical communities working towards shaping the scenario of underrepresentation of Women in Engineering and Technology. IEEE WIE ILS started in 2015 was organized in Chennai with the theme "Beyond Yourself - Leveraging your strengths and breaking barriers". The summit drew more than 200 participants which paved the way for more such summits all over the globe. Now every year ten such summits are organized across the globe. In 2020 we were selected to host an ILS event for the first time in Italy. Due to the pandemic, the 2020 ILS was only virtual (see the "past editions" tab). This year we are going to have a hybrid event with participation both online and in-person! We have planned sessions on empowering, entrepreneurship, mentoring, and also parenting! The event is open to anyone, especially to women and minorities in the STEM area. Join us (either in person or online) for two days of panel discussions, keynote presentations, round table discussions, and networking! Marianna Semprini, PhD (she/her) Rehab Technologies Lab Phone : 010 71781 212 ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it

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Theoretical Sciences Visiting Program 2022 at OIST (Application by Nov. 30, 2021)
by Kenji Doya Nov. 7, 2021

Nov. 7, 2021

We are pleased to call for Long-Term Visiting Scholars in Theoretical Sciences at OIST as below. **** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 2 to 12 months taken continuously starting between April 2022 and March 2023 with a preference for longer-term visitors. Visitors through this program are encouraged to collaborate with one or more research units in OIST during their stay. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. This program can provide a per diem as per OIST rules. In exceptional situations where the applicant does not receive any salary from grants or their institution at the time of their visit to OIST, successful candidates may be able to apply for support with salary, where this is necessary to facilitate the visit, and they can provide evidence of their need. No teaching duties come with the position. However, candidates are strongly encouraged to give a short series of lectures to students and researchers in the OIST community on a topic of their choosing, and we ask that they include details of this in their cover letter. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Qualifications Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. Application Instructions To apply, please go to our Interfolio page: https://apply.interfolio.com/96304 Applicants should submit a CV including a list of publications (limit 10 pages), and provide a brief description of their research to date and proposed research while visiting OIST (limit 2 pages). In your proposal, please explicitly mention OIST units you wish to collaborate with, and include your intended start date and length of stay in your proposal (date range is acceptable). All visits are subject to the availability of funding. To be considered for this year’s funding the applicant’s intended stay should start no later than March 2023. Applications received by November 30th 2021, are guaranteed full consideration. If you have any questions, please contact the Faculty Affairs Office at tsvp(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Two Data Scientist positions in Marburg, Germany
by Dominik Endres Nov. 5, 2021

Nov. 5, 2021

We are offering *two Data Scientist*(m/f/d) positions as a part of the cluster project *The Adaptive Mind*at the Philipps-Universität Marburg, Germany. The positions are associated with the Center of Mind, Brain and Behavior (CMBB) in Marburg. If you are interested in high-performance computing, machine learning and data management for large, interdisciplinary projects, then one of these jobs might be for you. Please contact Prof. Dominik Endres, dominik.endres(a)uni-marburg.de <mailto:dominik.endres@uni-marburg.de>, for more information. The full job adverts can be found here: https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… <https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern…> https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… <https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern…> Application deadline is Nov. 26^th , 2021 regards, Dominik Endres -- Prof. Dr. Dominik Endres Theoretische Kognitionswissenschaft - Theoretical Cognitive Science FB 04 Psychologie Tel: 06421-28 23818

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Flatiron Research Fellows (Post-Docs), Center for Computational Neuroscience, Flatiron Institute
by Matthew Turner Nov. 4, 2021

Nov. 4, 2021

Flatiron Research Fellows (Post-Docs), Center for Computational Neuroscience <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…>, Flatiron Institute New York, New York ORGANIZATIONAL OVERVIEW The Simons Foundation is a private foundation established in 1994 in New York City. With assets of approximately $2 billion and an annual grants and programs budget of $230 million, the foundation is dedicated to advancing the frontiers of research in mathematics and the basic sciences. The Flatiron Institute is a major, new internal scientific unit of the Simons Foundation, focused on the computational aspects of a wide range of basic science. The mission of the Flatiron Institute is to advance scientific research through computational methods, including theory, modeling, simulation and data analysis. The Flatiron Institute currently consists of five centers: the Center for Computational Astrophysics (CCA); the Center for Computational Biology (CCB); the Center for Computational Quantum Physics (CCQ); the Center for Computational Mathematics (CCM); and the Center for Computational Neuroscience (CCN). The Institute staff is composed of research scientists at various stages of their careers from recent Ph.D.s through senior scientists, software engineers and support staff. We host a vigorous visitor program and interact regularly with scientists from neighboring institutions. POSITION SUMMARY Applications are invited for Flatiron Research Fellowships (FRF) at the Center for Computational Neuroscience. The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. CCN FRF’s will be assigned a primary mentor from a CCN research group or project, though affiliations and collaborations with other research groups within CCN and throughout the Flatiron Institute are encouraged. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN currently has research groups in computational vision, neural circuits and algorithms, neuroAI and geometry, and statistical analysis of neural data; interested candidates should review the CCN public website <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> for specific information on CCN’s research areas. Review of applications for positions starting between July and October 2022 will begin in mid-January 2022. Application Materials: - Cover letter (optional); - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants should also indicate the primary CCN group(s) with which they’d seek to conduct research, and any desired affiliation with other Flatiron Centers. - Three (3) letters of recommendation submitted confidentially by direct email to ccnjobs(a)simonsfoundation.org Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant’s expertise and research proposal topic with existing CCN staff and research programs. Education: - PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills: - Flexible multi-disciplinary mindset; - Strong interest and experience in the scientific study of the brain; - Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; - Ability to do original and outstanding research in neuroscience; - Ability to work well independently as well as in a collaborative team environment. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law. Application portal: https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer… Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: he/him/his *FLATIRON INSTITUTE* 162 Fifth Avenue Suite 308 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

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Postdoc Fellowship in Data Science in Göttingen, Germany
by Ecker, Alexander Nov. 4, 2021

Nov. 4, 2021

The Campus Institute Data Science (CIDAS) at the University of Göttingen invites applications for two fellowships for outstanding young scientists to implement their own innovative research agenda in the field of Data Science and Artificial Intelligence. CIDAS promotes campus-wide interdisciplinary exchange and activities in the field of data science. The application deadline is Sunday, November 14th, 2021. In case of questions contact Alexander Ecker: ecker(a)cs.uni-goettingen.de *Funding Objectives:* CIDAS would like to support young scientists at an early stage of their career to develop independent projects and to create a perspective to work independently for several years at the Göttingen Campus in the field of Data Science. In particular, the collaboration between methodological, theoretical researchers and applied scientists at the Göttingen Campus and within CIDAS should be promoted. The applications should show a career perspective for the applicants and open a path to scientific independence and own third-party funding. *Who can apply:* Outstanding young scientists who are in the final phase of their PhD (last year) or early postdoc phase (maximum 2 years after the PhD) with an idea for their own research project in the field of Data Science. This can be in the fundamentals of Data Science, applied Data Science, or in the social science aspects of Data Science. This requires a planned collaboration with at least one member of CIDAS. Other collaborations with groups outside CIDAS are also possible and encouraged. If the applicant is not already a CIDAS member, he/she will be accepted into CIDAS upon approval of the application. The position can be used in particular for preparatory work for a subsequent application, e.g. for a junior research group. *Scope of funding:* Two fellowships will be awarded. The funding includes €75,000 each, which can be used, for example, to finance the applicant's own position. *Documents to be submitted:* 1. Description of the research idea (max. 5 pages), incl.: - Clearly defined content-related goals, comprehensible time schedule - Possible perspectives after the project, career perspectives, possibly plan for external funding - Planned collaboration with CIDAS members and other scientists - Innovation of the application 2. Curriculum vitae 3. Letter of recommendation from the supervisor or mentor, including a workplace (incl. infrastructure) commitment for the period to be funded Deadline: Sunday, November 14th, 2021 Application by email to: cidas(a)uni-goettingen.de -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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PhD position at the Institute for Theoretical Physics, Goethe University Frankfurt
by Claudius Gros Nov. 4, 2021

Nov. 4, 2021

PhD position at the Institute for Theoretical Physics, Goethe University Frankfurt Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Goethe University Frankfurt, Germany Fields: neurosciences, complex systems theory Application deadline: Dec 15, 2021 Supervisor: Prof. Dr. Claudius Gros We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as Covid-19 modeling. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, dynamical systems theory, game theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointment will start in spring 2022, for three years. Interested applicants should submit a curriculum vitae and a list of publications to the address below. Prof. Claudius Gros Institute for Theoretical Physics Goethe University Frankfurt Max-von-Laue-Str. 1 60438 Frankfurt am Main, Germany cgr(a)itp.uni-frankfurt.de http://www.itp.uni-frankfurt.de/~gros General information on the University of Frankfurt and its employment policy: With its around 46,000 students and 4,600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy.  The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law and the Hessian Higher Education Act. The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. -- ### ### 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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Faculty position in Data Science and Neuroengineering at Boston University
by Laura Lewis Nov. 3, 2021

Nov. 3, 2021

Dear colleagues, Forwarding the ad for our department's open position for an Assistant Professor: The College of Engineering at Boston University has embarked on a bold new strategic plan that will pursue excellence and impact along convergent and collaborative research themes while remaining committed to our institutional values regarding diversity, equity, and inclusion. The College anticipates two openings for tenure-track faculty positions at the level of Assistant Professor, one focusing on the convergent theme: Data Science in Neuroengineering. We are seeking a candidate whose research develops or uses methods from data science to advance knowledge of neuroscience in health and disease. Topics may include computational neuroscience, neurosignal processing, machine learning, image processing, artificial intelligence, or, more broadly, data science techniques in neuroscience. The ideal candidate will have a strong publication record in this convergent research theme and will be able to form links among the neuro- and systems-engineering strengths of the College’s Departments of Biomedical Engineering and Electrical and Computer Engineering, as well as the University’s strengths in the Data- and Neuro-Sciences. To apply: https://academicjobsonline.org/ajo/jobs/19046

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Postdoctoral position to study circuit mechanisms of adaptive learning at Dartmouth College
by Alireza Soltani Nov. 3, 2021

Nov. 3, 2021

The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth College has an opening for an NIH-funded postdoctoral position to work on an exciting project on circuit mechanisms of reward-based learning under uncertainty. The project involves computational modeling and data analyses (behavioral and calcium imaging) in close collaboration with Alicia Izquierdo's lab at UCLA. Initial appointment is for one year with opportunity for renewal. The position is open to start immediately, but applications will be considered until the position is filled. A few recent relevant papers include: 1. Soltani A, Izquierdo A (2019). Adaptive Learning under Expected and Unexpected Uncertainty. Nature Reviews Neuroscience, 20(10): 635–644 2. Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour, 3: 1215–1224 3. Stolyarova A, Rakhshan M, Peters MA, Lau H, Soltani A, Izquierdo A (2019). Contributions of Anterior Cingulate Cortex and Basolateral Amygdala in Decision Confidence and Learning under Uncertainty. Nature Communications, 10:4704 4. Spitmaan MM, Seo H, Lee D, Soltani A (2020). Multiple Timescales of Neural Dynamics and Integration of Task-relevant Signals across Cortex. Proceedings of the National Academy of Sciences, 117 (36), 22522-22531 5. Trepka E, Spitmaan MM, Bari BA, Costa VD, Cohen JY, Soltani A (2021). Novel entropy-based metrics for predicting choice behavior based on local response to reward. Nature Communications (Accepted) [available on bioRxiv, 2021.05.20.445009v1] For more recent publications from the lab please visit http://ccnl.dartmouth.edu. Interested individuals should contact Alireza Soltani (soltani(a)dartmouth.edu) with their CV. Alireza Soltani, Ph.D. Associate Professor Department of Psychological and Brain Sciences Dartmouth College, NH Alireza.Soltani(a)Dartmouth.edu http://ccnl.dartmouth.edu Phone: 603-646-2998 Office: Moore 356

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BCI Un-Conference: Submission open
by Anja Meunier Nov. 2, 2021

Nov. 2, 2021

Dear colleagues, registration and abstract submission for the 3rd BCI Un-Conference is now open [1]. Abstract submissions are text-only. The length and format of the submissions are up to the authors - use whatever format you consider best for attracting up-votes! Important dates: - Submission deadline: December 3rd, 2021 at 11:59 pm (CET) - Voting period: December 6th, 2021 - December 12th, 2021 at 11:59 pm (CET) - BCI-UC event: January 27th, 2022, from 03:00 pm to 09:00 pm (CET) We will invite the authors of the top-voted abstracts to present at the un-conference. The 3rd BCI-UC will feature keynotes by Cynthia Chestek (University of Michigan) [2] and Thorsten Zander (TU Brandenburg) [3]. BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can submit abstracts to apply for 20 minutes presentation slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. Registration and attendance are free of charge. Presentations of the 1st and 2nd BCI-UC can be re-watched at [4] and [5]. All presentations will be streamed via Crowdcast [6] and can be accessed free of charge. Join us in supporting this novel community-driven dissemination of research results! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/register-vote/ [2] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [3] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [4] https://bciunconference.univie.ac.at/past-events/1st-bci-uc/ [5] https://bciunconference.univie.ac.at/past-events/2nd-bci-uc/ [6] https://www.crowdcast.io/

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Postdoc position in Computational and Systems Neuroscience at Research Center Jülich, Germany
by Martina Reske Nov. 2, 2021

Nov. 2, 2021

The working group Statistical Neuroscience at INM-6 Computational and Systems Neuroscience<https://www.fz-juelich.de/inm/inm-6/EN/Home/home_node_INM6.html> at Research Center Juelich, Germany, led by Sonja Grün<https://www.fz-juelich.de/SharedDocs/Personen/INM/INM-6/EN/staff/Gruen_Sonj…> develops statistical methods for the analysis of experimental electrophysiological data from massively parallel electrophysiological recordings and leads the development of open source software tools for the analysis of activity data and validation of models on the population level. The department aims to fill a postdoctoral position that is responsible for the analysis of massively parallel spike and LFP data acquired in a collaborative project with CNRS-AMU, Marseille. Your Job: • Analysis of massively parallel spike and LFP data from the Vision for Action project (visuo-motor integration across areas) • Adaptation of machine learning algorithms and/or further development of methods for the analysis of these neuronal multichannel data • Development of methods for quantifying the relationship between spike patterns and LFP/ECoG data • Optimization and adaptation of neuronal network model in NEST for the comparison of experimental and simulated activity data • Implementation of data analysis tools in Python and integration of the codes into the shared analysis library Elephant • Contribution to the data analysis pipeline, under FAIR principles • Cooperation with experimental collaboration partners • Integration of the work into Ebrains / HBP • Presentation of project results at international conferences • Scientific and administrative project coordination • Support in the supervision of PhD students Your Profile: • MSc in physics, data science, mathematics or computer science; PhD in computational neuroscience, applied mathematics, physics or related • Detailed knowledge of neuroscientific concepts, especially in neuronal dynamics, statistical analysis of neuronal activity and dynamics • Expertise in network modelling at different spatial levels • Experience with large-scale data-science activities and scientific programming, especially Python • Fluent in spoken and written English • Experience in scientific publishing in a related field • Proactive working style, confident appearance and communication skills, high social competence and ability to work cooperatively in a team The position is initially for a fixed term of 2 Jahre years. Salary and benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD, salary grade 13-14). FZ Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. Please apply via our recruitment system<https://www.fz-juelich.de/portal/EN/Careers/application/_node.html?cms_hre_…> under reference number: 2021-323. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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The Gatsby Unit PhD programme
by Maneesh Sahani Nov. 2, 2021

Nov. 2, 2021

Applications for the 2022 PhD Programme in theoretical neuroscience or machine learning at the Gatsby Computational Neuroscience Unit are currently open. Please send us your application by 14th November 2021 following the link on this page: https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme/applications The Gatsby Unit is a research centre at University College London focusing on theoretical and computational neuroscience, computational statistics, machine learning and artificial intelligence; threads that are drawn together by our focus on the mathematical foundations of adaptive intelligent behaviour. We specialize in research and research training: We have a PhD programme and postdoctoral trainees, but no undergraduate or MSc programme. Our PhD programme provides a rigorous preparation for a research career. Although each student eventually chooses an advisor, the programme is highly interactive, and the Unit functions more like a single large research group loosely divided into subgroups than a regular university department. Many leading researchers in both machine learning and neuroscience have studied or worked here. Overall, about 2/3 of our alumni are in academia, many of them faculty members at the world's leading universities; others have founded companies (including DeepMind); and almost all are active in research. You can see our network of alumni here: https://www.ucl.ac.uk/gatsby/greater-gatsby Full funding is available to all students, regardless of nationality. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend, presently £24,000 per annum. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. Further information on the programme can be found here: https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme We particularly encourage applications from underrepresented groups. Questions should be directed to admissions(a)gatsby.ucl.ac.uk

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Master in Brain and Cognition, Barcelona
by Ruben Moreno Bote Nov. 2, 2021

Nov. 2, 2021

Enrollment period for the Master in Brain and Cognition open! For Comp Neuro lovers! https:/https://www.upf.edu/web/mbc Why our master? (1) Barcelona, (2) Albert Compte + Gustavo Deco + Alex Hyafil + Klaus Wimmer + myself (Ruben Moreno-Bote) + top others, (3) hands-on teaching, with a 2-trimesters long project, (4) 2 new courses: "The Neural Basis of Memory" by Compte, and "The Brain in Action, Decision Making" by myself (5) highly international students (80% from abroad) + in English + highly competitive (accept only 25, typically from a list of 120 candidates) -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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job: machine learning research scientist at NIMH
by Francisco Pereira Nov. 2, 2021

Nov. 2, 2021

## HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ## About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort, from helping discover or develop theories to generating actionable results. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and recent publications at https://cmn.nimh.nih.gov/mlt ## About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - deep learning - reinforcement learning - Bayesian statistical modelling - other types of modelling of human/animal learning and decision-making - neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG) - other types of neural data (e.g. neural recording, calcium imaging) in the context of substantial research projects, ideally having led to submitted or published articles. Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. Backgrounds of team members include computer science, statistics, mathematics, and biomedical engineering. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests or community impact. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. We especially encourage applications from members of underrepresented groups in the machine learning research community. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

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postdoc position on brain-machine interfaces at NYU & UO
by Luca Mazzucato Nov. 1, 2021

Nov. 1, 2021

The Kiani (NYU) and Mazzucato (UO) labs are looking for a computational neuroscience postdoc to lead a project on closed-loop behavioral control in primates using a brain-machine interface. The candidate will develop a new theoretical framework to infer causal interactions from sparse sampling of large neural ensembles and deploy this method in the prefrontal cortex of behaving primates. The goal of this project is to innovate a technique for targeted manipulation of the prefrontal circuit and alter the monkey’s cognitive behavior in real-time, a key step toward advanced brain-machine interfaces and novel enhancing or therapeutic interventions in the human brain. The theory position will be co-supervised between the labs of Roozbeh Kiani at New York University and Luca Mazzucato at University of Oregon. The postdoc will be part of the vibrant neuroscience and machine learning communities at the Center for Neural Sciences (NYU) and at the Institute of Neuroscience (UO). The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," fostering international collaborations between a large network of computational neuroscience/AI labs. Successful candidates will have a PhD in Physics, Neuroscience, Mathematics, Computer Science, Engineering, Statistics or a related discipline and, preferably, working experience in theoretical neuroscience and deep learning. Our labs strongly advocate for inclusivity in science and we encourage applications from underrepresented groups. For informal inquiries about the position please contact Roozbeh Kiani or Luca Mazzucato. Application reviews will start on Nov. 15 and will continue until the position is filled. Roozbeh Kiani & Luca Mazzucato

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Oct. 31, 2021

Oct. 31, 2021

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-20 Nov 2021. This is a practical, self-paced course for researchers and students who wish to build their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<http://bdtoolbox.org>). Participants learn the art of programming differential equations to simulate neuronal dynamics. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Saturday 6th Nov, 2021. Late enrolments ($150) close Saturday 20th Nov, 2021. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Postdoc in Brain Computer Interfaces, Melbourne, Australia
by David Grayden Oct. 28, 2021

Oct. 28, 2021

We are recruiting a Postdoctoral Research Fellow to join the Department of Biomedical Engineering, University of Melbourne, Australia as part of the Australian Research Council Training Centre in Cognitive Computing for Medical Technologies. The Training Centre aims to create a workforce that is expert in developing, applying and interrogating artificial intelligence technologies in data-intensive medical contexts. Research Fellow in Brain Computer Interfaces will aim to develop a brain-computer interface (BCI) that can be used to control commercially available augmentative devices for people with speech, vision or motor disorders. Details: https://jobs.unimelb.edu.au/caw/en/job/906909/ Applications close: 11:55 pm 19 November 2021 Australian Eastern Daylight Time (UTC/GMT+11 hours) Regards, David Professor David B. Grayden Clifford Chair of Neural Engineering Director, Medical Technologies Platform Dept of Biomedical Engineering Faculty of Engineering and Information Technology The University of Melbourne, Victoria 3010 Australia https://biomedical.eng.unimelb.edu.au/ | https://www.linkedin.com/in/dgrayden This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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Job Posting: MindCORE Postdoctoral Research Fellowships at UPenn
by Calvert, Heather J Oct. 26, 2021

Oct. 26, 2021

MindCORE Postdoctoral Research Fellowships MindCORE seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts and Sciences of the University of Pennsylvania, MindCORE (https://mindcore.sas.upenn.edu/) 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 of $20,000. 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 We are accepting applications for 2022-2023 until January 10, 2022. Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment (typically July 1, 2022 - Jan 15, 2023). Candidates must submit a research statement that identifies at least three MindCORE faculty (https://mindcore.sas.upenn.edu/people/faculty-and-associates/) at Penn with whom the applicant could potentially collaborate; along with a CV, and contact information for two referees. Complete applications should be submitted along with some basic information using a form available on the website: https://mindcore.sas.upenn.edu/post-doctoral-research-fellowship/. Selection All eligible and complete applications will be evaluated by the Selection Committee after January 10. Applications are judged on the following criteria: Scientific excellence Scientific match and interdisciplinarity Career potential MindCORE seeks to award ~2 post-doctoral Fellowships per year. Positions may start as early as July 1, 2022. Questions? Contact pennmindcore(a)sas.upenn.edu<mailto:pennmindcore@sas.upenn.edu>

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Postdoc in computational cognitive neuroscience with human neurons in Utah
by ELLIOT H SMITH Oct. 26, 2021

Oct. 26, 2021

Two NIH-funded (5 years) postdoctoral research scientist positions are available in Human Neuronal Computation Laboratory in the Neurosurgery Department at the University of Utah. We are seeking applicants with computational skills (signal processing, data mining, statistical modeling) to study neural representations of abstract space, and distributional reinforcement learning in human neuron activity recorded from epilepsy patients. Please send an email and CV if interested. Thanks, Elliot _____________________________ Elliot H Smith, PhD (he/him) Assistant Professor Department of Neurosurgery University of Utah 175 N Medical Drive #5 Salt Lake, City, UT 84132 e.h.smith(a)utah.edu<mailto:e.h.smith@utah.edu> +1-206-349-1249

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NEXT WEEK: New Approaches to 3D Vision, 1st-4th Nov 2021, Royal Society online meeting
by Linton, Paul Oct. 26, 2021

Oct. 26, 2021

NEXT WEEK: NEW APPROACHES TO 3D VISION, 1st-4th November 2021, hosted by the Royal Society This Royal Society online meeting brings together researchers from computer vision, animal vision, and human vision to explore recent developments in 3D vision. Speakers reflect both academia and industry, with representatives from DeepMind, Facebook Reality Labs, Google, and Microsoft Research. Date/Time: 1st-4th November 2021, 3-6pm (3-6:30pm on the 4th), UK Time Please note that the USA/UK time difference is 1hr less than usual Website: https://royalsociety.org/science-events-and-lectures/2021/11/3d-vision/ Registration (Free): https://www.eventbrite.co.uk/e/new-approaches-to-3d-vision-registration-165… DAY ONE (1st Nov) - Seeing Beyond SLAM Chair: Andrew Fitzgibbon (Microsoft) Session One: Neural Scene Representation SM Ali Eslami (DeepMind): “Neural priors, neural encoders and neural renderers” Ida Momennejad (Microsoft Research): “Multi-scale predictive representations and human-like RL” Session Two: Perception-Action Loop Sergey Levine (UC Berkeley and Google): “Generalization in data-driven control” Andrew Glennerster (University of Reading): “Understanding 3D vision as a policy network” DAY TWO (2nd Nov) - Animals in Action Chair: Matteo Carandini (University College London) Session One: Locating Prey and Rewards Jenny Read (Newcastle University): “Stupid stereoscopic algorithms that still work” Aman Saleem (University College London): “Visual processing in the brain during navigation” Session Two: Navigation in 3D Space Kate Jeffery (University College London): “The cognitive map of 3D space: not as metric as we thought?” Gily Ginosar (Weizmann Institute of Science): “Locally ordered representation of 3D space in the entorhinal cortex” DAY THREE (3rd Nov) - Experiencing Space Chair: Mar Gonzalez-Franco (Microsoft Research) Session One: Theories of Visual Space Dhanraj Vishwanath (University of St Andrews): “Tripartite encoding of visual 3D space” Paul Linton (City, University of London): “New approaches to visual scale and visual shape” Session Two: Challenges for Virtual Reality Sarah Creem-Regehr (University of Utah): “Perception and Action in Virtual and Augmented Reality” Douglas Lanman (Facebook Reality Labs): “Engineering challenges for realistic displays” DAY FOUR (4th Nov) - Grasping the World Chair: Jody Culham (Western University) Session One: One Visual Stream or Two? Fulvio Domini (Brown University): “A novel non-probabilistic model of 3D cue integration explains both perception and action” Irene Sperandio (University of Trento): “Dissociations between perception and action in size-distance scaling” Session Two: 3D Space and Visual Impairment Ione Fine (University of Washington): “Do you hear what I see? How do early blind individuals experience object motion?” Ewa Niechwiej-Szwedo (University of Waterloo): “The role of binocular vision in the development of visuomotor control and performance of fine motor skills” Session Three: Panel Discussion Andrew Fitzgibbon (Microsoft), Matteo Carandini (University College London), Mar Gonzalez-Franco (Microsoft Research), and Jody Culham (Western University), share their thoughts on the future of 3D vision with an interactive Question and Answer session. Organisers: Michael Morgan FRS (City, University of London), Paul Linton (City, University of London), Jenny Read (Newcastle University), Dhanraj Vishwanath (University of St Andrews), Sarah Creem-Regehr (University of Utah), Fulvio Domini (Brown University)

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WWNeuRise series on the neuroscience of navigation
by William Podlaski Oct. 25, 2021

Oct. 25, 2021

WorldWideNeuRise will host several online talks throughout November-December on the topic of the neuroscience of navigation from the following speakers (titles TBA): Wednesday, 3 November, 5pm CET Erik Hermansen (Dunn Lab, NTNU) Sarthak Chandra (Fiete Lab, MIT) Wednesday, 17 November, 5pm CET Salman Qasim (Gu Lab, Mount Sinai) Jacob Bellmund (Doeller Lab, MPI CBS / Kavli Institute) Wednesday, 1 December, 5pm CET Hannah Payne (Aronov Lab, Columbia University) Nick Robinson (Hausser Lab, UCL) Wednesday, 8 December 5pm CET Philip Shamash (Branco Lab, UCL) Anna Gillespie (Frank Lab, UCSF) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Ellen Boven (Apps lab, University of Bristol) Christina Buetfering (Häusser lab, University College London) Wesley Clawson (Levin lab, Tufts University) Lucie Descamps (Kentros lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Clopath lab, Imperial College London) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud Research)

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Neuromatch Conference 4.0, Submission deadline Oct 25, conference Dec 1-2
by Rozell, Christopher J Oct. 22, 2021

Oct. 22, 2021

*****Deadline fast approaching for NMC 4!***** After three conferences in 2020, Neuromatch is pleased to be holding our fourth on December 1-2, 2021. Neuromatch 4.0 will be focused on Computational Neuroscience and will be similar to the scope of the first two NMC events in spring 2020. Agendas from previous NMC editions (1.0, 2.0 and 3.0) can be found on the Agenda from the conference website under the gear icon. The scope of NMC4 includes computational neuroscience and machine learning work that has a biological link. Registration costs are set at 15USD to cover technical costs, and if this is a difficulty, the fee can be waived without question. Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: * A combination of the virtual with the in-person conference experiences. You are encouraged to host or attend a local meetup, bringing people together to enjoy the conference, without the incredible economic and environmental costs of flying around the world. * The maintalks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos), and dedicated meet up times for discussion within Discord. * NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience. * We are developing new mechanisms to connect talks in the conference to corresponding preprints on bioRxiv, and we will provide links to preprints on other platforms as well. Read more at http://conference.neuromatch.io/ Important dates: * October 7, 2021: Registration and submission opens * October 25, 2021: Abstract submission deadline * Early November: local meetups portal opens * November 1 - 2, 2021: Abstract acceptance and live talk selection news * November 12, 2021: Video submission deadline for flashtalks * December 1 - 2, 2021: NMC 4.0 We look forward to seeing you at NMC 4.0! All the best, Neuromatch Conference Organizing Committee

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PhD Student Position for in-vivo Neurophysiology
by Alexander Maÿe Oct. 22, 2021

Oct. 22, 2021

PhD Student Position for in-vivo Neurophysiology The Department of Neurophysiology and Pathophysiology (head: Prof. Dr. Andreas K. Engel) at the University Medical Center Hamburg-Eppendorf (UKE) aims to fill a doctoral researcher (PhD student) position for in-vivo neurophysiology. The vacant position is part of the Marie-Curie training network “European School of Network Neuroscience (euSNN)” (http://www.eusnn.eu <http://www.eusnn.eu/>) and is for a project on modulation of cortical networks by optogenetic approaches. Contract duration will be 3 years, with a salary level according to the EU regulations for Marie-Curie Training Networks. The key research theme at the Department of Neurophysiology and Pathophysiology is the large-scale dynamics of cortical and subcortical networks which is addressed by combining electrophysiological and neuroimaging methods. The specific focus lies on the study of functional and effective connectivity in brain networks. Research at the Department aims to demonstrate and understand the functional role of dynamic large-scale coupling for perception, cognition and action. To this end, ongoing projects also test hypotheses on causal mechanisms by modulation of networks and connectivity. Furthermore, the Department has a strong interest in the pathophysiological relevance of neural synchrony and changes of large-scale coupling in brain disorders. Further information can be found at https://www.uke.de/neurophysiologie <https://www.uke.de/neurophysiologie> and http://www.40hz.net <http://www.40hz.net/>. At the UKE, the Department is embedded in an excellent environment for state-of-the-art network neuroscience, including multiple neuroimaging and animal research facilities, and excellent cooperation partners in all fields of clinical, theoretical and basic neuroscience. The new lab member will join a team with extensive expertise in in-vivo multisite recordings, connectivity analysis and network modulation using electrical and optogenetic stimulation approaches. The focus of the project will be on optogenetic modulation of oscillations and functional connectivity in cortical networks in anesthetized and behaving ferrets. The selected candidate will become a member of the euSNN network (http://www.eusnn.eu <http://www.eusnn.eu/>), which involves leading neuroscience labs as well as industrial partners from seven European countries and offers rich possibilities for interdisciplinary training and cooperation in network neuroscience. Candidates should have or expect a master in neuroscience, biology or related disciplines. Training in neurophysiology, optogenetics and/or data analysis methods is a plus. The Dept. of Neurophysiology and Pathophysiology is committed to diversity and seeks applications from qualified individuals regardless of their demographic status, gender, or cultural background. Applications from severely disabled persons with equivalent qualifications will be given preference. Applications should include a motivation letter, a CV, copies of university degrees and a transcript of course records. Please send your application materials as PDF (ideally in one file) to: ak.engel(a)uke.de <mailto:ak.engel@uke.de>. Prof. Dr. Andreas K. Engel Dept. of Neurophysiology and Pathophysiology University Medical Center Hamburg-Eppendorf -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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Postdoc in comp. neuroscience - learning dynamics - Ruhr University Bochum, Germany
by Vinita Samarasinghe Oct. 22, 2021

Oct. 22, 2021

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a full time *Postdoctoral position* (TV-L E13) in Computational Neuroscience. The position starts on July 1, 2022 and is funded for three years. The position is part of the Collaborative Research Center “Extinction Learning” (SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/>) and entails the following duties: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280, * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, * coordinate research with other participating projects. Candidates must have: * a doctorate degree in neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field, * relevant experience in mathematical modeling, * excellent programming skills (e.g., Python, C/C++, Matlab), * excellent communication skills in English, * the ability to work well in a team. Research experience in neuroscience would be a further asset. The position is third party funded and does not have any formal teaching duties attached. The research group is highly dynamic and uses diverse computational modeling approaches including biological neural networks, cognitive modeling, and machine learning to investigate learning and memory in humans and animals. For further information see www.rub.de/cns. The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. The Institute for Neural Computation 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. Please send your application, including CV, transcripts and research statement electronically, as a *single PDF file*, to *samarasinghe(a)ini.rub.de*. In addition, at least two academic references must be sent independently to the above email address. The deadline for applications is *January 2, 2022*. Travel costs for interviews will not be reimbursed. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to network with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. If you have any questions please feel free to get in touch with Vinita Samarasinghe (contact below) -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email: samarasinghe(a)ini.rub.de

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Western-Fields Seminar Series | Frances Skinner
by Lyle Muller Oct. 21, 2021

Oct. 21, 2021

The eighth talk in the 2021 Western-Fields Seminar Series in Networks, Random Graphs, and Neuroscience<http://www.fields.utoronto.ca/activities/21-22/western-fields> is next Thursday (28 October) at noon ET. Frances Skinner<https://www.skinnerlab.org/> (Krembil Research Institute) will give a talk titled “Tackling the cellular diversity in our brains” (abstract below). Dr. Skinner is a leader in computational neuroscience and has made fundamental contributions to the understanding of neural dynamics from single cells to whole networks. This seminar series features monthly virtual talks from a diverse group of researchers across computational neuroscience, physics, and graph theory. We are looking forward to talks from Alexander Lubotzky (Hebrew University of Jerusalem) in November and Jeannette Janssen (Dalhousie University) in December. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS — How do we address the challenge of bringing about a cellular-based understanding of our brain workings? From a neurological disease perspective, this needs to be addressed as pathologies involve cellular specifics. The ‘brain hub’ hippocampus, an essential brain structure for learning and memory, generates robust rhythmic activities. However, figuring out how the multitude of cell types in the hippocampus contribute to these states is an immense challenge. In this talk, I will describe the modeling approaches we are taking to obtain a cellular-based understanding of theta (3-12 Hz) rhythms in the hippocampus, an essential element of the ‘phase-coding functional unit’ in the hippocampus. -- Lyle Muller http://mullerlab.ca

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