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FACM-22 Conference 'New Perspectives in Math Biology' May 20-21 (2022) NJIT, Newark NJ
by Victor Matveev 01 Apr '22

01 Apr '22

On May 20 and 21, 2022, the 17th Annual Conference on Frontiers in Applied and Computational Mathematics (FACM '22) will be held at the New Jersey Institute of Technology (NJIT) in Newark, New Jersey. The theme of FACM '22 Conference is "New Perspectives in Mathematical Biology." https://sites.google.com/njit.edu/facm2022/home Confirmed plenary speakers are: Carina Curto (Pennsylvania State University) Anita Layton (University of Waterloo) Grzegorz Rempala (Ohio State University) Corina Tarnita (Princeton University) FACM '22 will feature 4 minisymposia that cover a wide range of topics in math biology: (1) *learning paradigms in real and artificial neuronal networks,* (2) collective behavior in biological populations, (3) stochastic modeling at different scales, and (4) biofluids: machine learning and data-driven approaches. A poster session will run concurrently over the 2 days of the meeting. Pending NSF support, funds to cover all or part of the travel costs and local accommodation costs may be available for students, postdocs, and junior faculty. Applications by members of underrepresented groups, minorities and women are particularly encouraged. A combined poster abstract submission, travel award application and registration form (due April 15, 2022) is available at the conference homepage: https://sites.google.com/njit.edu/facm2022/home There is no registration fee for this conference. NJIT campus is located in close proximity to two train stations, the Newark Liberty International airport, and is accessible by public transportation from New York City: https://www.njit.edu/about/maps-directions FACM'22 Organizing Committee: Amitabha Bose (co-Chair), Casey Diekman, Simon Garnier, Enkeleida Lushi, James MacLaurin, Victor Matveev (co-Chair), Peter Thomas, Yuan-Nan Young -- ----------------------------------------------- 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 matveev(a)njit.edu

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INCF/OCNS Software WG session on NetPyNE (4th April: 1600 UTC)
by Ankur Sinha 01 Apr '22

01 Apr '22

Dear all, Apologies for the cross post. Please join us for the next INCF/OCNS Software working group "dev session" where Joe Graham will speak to us about NetPyNE: https://ocns.github.io/SoftwareWG/2022/04/04/dev-session-joe-graham-netpyne… - Date: April 4, 2022, 1600 UTC (Click here[1] to see your local time). - Location (Zoom): (login to Zoom required): https://ucl.zoom.us/j/99620419452?pwd=SkZlQnJmWWZVczNURkp2azVOZkhzUT09 Abstract: NetPyNE is an open-source Python package to facilitate the development, parallel simulation, analysis, and optimization of biological neuronal networks using the NEURON simulator. The NetPyNE GUI is available from a variety of resources: Neuroscience Gateway Portal (NSG); Open Source Brain (OSB) ; Human Brain Project (HBP) EBRAINS; and the NIH SPARC initiative. The NetPyNE source code is available on GitHub. More information is available on the NetPyNE website. During this dev session, I will give an overview of NetPyNE, go through an interactive demo using the NetPyNE GUI, describe my personal development workflow using virtual environments, and then go through two big dev projects I worked on: (1) documenting code inline and online using docstrings, Sphinx, Napoleon, and autodocsumm, and (2) separating and standardizing analysis and plotting. --------- The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG on our GitHub repository[3]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+Jo… [2] https://github.com/OCNS/SoftwareWG/issues -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Postdoctoral position in computational neuroscience
by Maxim Bazhenov 31 Mar '22

31 Mar '22

Applications are invited for NIH funded post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study role of sleep in memory and learning using sophisticated computer models of brain dynamics. This project involves close collaboration with experimental laboratories. The ultimate goal of the work is to understand how sleep rhythms contribute to consolidation of memory for recent learning and how sensory or electrical stimulation during sleep can enhance memory consolidation (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019). Our lab research interests also include other topics in neuroscience (e.g., olfaction, epilepsy) and artificial intelligence (e.g., lifelong learning, generalization, adversarial robustness) and lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be used to understand network dynamics that are involved in the processes of memory consolidation during sleep, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Programming experience with C/C++ is required. Knowledge of PYTHON, PyTorch or MATLAB is a plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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Google Summer of Code: model and experimental data sharing on Open Source Brain
by Padraig Gleeson 31 Mar '22

31 Mar '22

--Apologies for cross-posting-- Google Summer of Code <https://summerofcode.withgoogle.com/> is a global, online program focused on bringing new contributors into open source software development. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF <http://incf.org/> has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative <http://www.opensourcebrain.org> is encouraging students to apply to be part of this. The successful candidate(s) for our 2 proposals will take published computational models and experimental datasets and convert them into open, standardised formats (e.g. NeuroML and NWB) and share them on the OSB platform as a resource for the wider community. The two projects are: *Open source, cross simulator, large scale cortical models in NeuroML and PyNN* <https://neurostars.org/t/gsoc-2022-project-idea-9-1-open-source-cross-simul…> These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. *Conversion of public neurophysiology datasets to Neurodata Without Borders (NWB) format* <https://neurostars.org/t/gsoc-2022-project-idea-9-2-conversion-of-public-ne…> This project will involve converting a number of publicly available datasets to NWB format, adding structured metadata to ensure maximal readability and reusability of the data. The converted datasets will be made available through the new NWB Explorer on the Open Source Brain repository (http://nwbexplorer.opensourcebrain.org) which allows visualisation of the data as well as interactive analysis through an inbuilt Jupyter notebook. *This opportunity is particularly relevant for Masters & PhD students currently working in model development/data analysis in neuroscience. Many students **are already reusing/converting/updating existing models and data as part of their work and this is a great opportunity to get paid extra to do this! *** Closing date for student applications: *19 April 2022* Period of working on projects: *13 June - ***12 *September 2022* Please get in contact if you have any questions. -- ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Postdoc in Computer Vision / Machine Learning / Applied Mathematics
by Tony Lindeberg 31 Mar '22

31 Mar '22

Postdoc in Computer Vision / Machine Learning / Applied Mathematics Job description The Division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm, Sweden is seeking a Postdoc in Computer Vision / Machine Learning / Applied Mathematics to handle scale-dependent image information in deep networks. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together. The selected candidate will work closely together with the project leader Tony Lindeberg. Qualifications requirements * A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline * We are seeking a candidate with a PhD in Computer Vision, Machine Learning, Applied Mathematics or a related discipline dealing with automated analysis of image information. * Previous experience with experimental evaluations using deep learning architectures applied to image data is necessary, preferably PyTorch. * A theoretical background in continuous mathematics for modelling convolutions and the influence of image transformations on image data is also necessary. Preferred qualifications As a person you have excellent scientific and collaborative skills, in combination with independence, with very good ability to get into new scientific theories and conduct implementations and experimental evaluations in close collaboration with the research environment you are working in. The preferred candidates should have demonstrated expertise (through publications) in any one of the following: * Deep networks that handle image information for computer vision tasks, including experimental evaluation using modern architectures for deep networks. * Continuous models for deep networks applied to image information. * Theoretical modelling of scaling transformations or other image transformations applied to automated processing of image information. For further information and information about to how to apply, see https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:490734/ Application deadline: May 2, 2022 The position is offered for a period of two years. [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology Computational Brain Science Lab Division of Computational Science and Technology, CST SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 https://www.kth.se/profile/tony/

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Cerebellar computation postdoc
by Nicolas Brunel 31 Mar '22

31 Mar '22

A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position. For more information on the labs: Regehr Lab: https://urldefense.com/v3/__https://regehrmedharvard.wordpress.com/__;!!OTo… Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to: Kim McDaniels Kimberly_Mcdaniels(a)hms.harvard.edu<mailto:Kimberly_Mcdaniels@hms.harvard.edu> Please have the subject of the email: “Computational Postdoc Applicant:” Your Name

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IMRF abstract submission deadline extended to April 07
by Marc Ernst 30 Mar '22

30 Mar '22

Dear friends of IMRF, upon multiple request, we decided to extend the abstract submission deadline for the International Multisensory Research Forum 2022 (IMRF2022) by some days to April 07th. You can submit new abstracts for talks and posters until that date (here <https://www.conftool.net/imrf2020>). In case you submitted an abstract already previously for 2020 or 2021, please make sure to verify that your abstract and information is still up-to-date. To do so, you can log into the system (here <https://www.conftool.net/imrf2020>) and update your abstract information at any time until the deadline. In case you will not be able to make it to IMRF this year, which I would deeply regret, but you submitted an abstract earlier in the past two years, please make sure to withdraw your abstract (here <https://www.conftool.net/imrf2020>). In case you submitted an already accepted symposium in 2020, these symposia will keep their accepted status. But please as organiser of the symposium verify that all presenters of the symposia are still on board (here <https://www.conftool.net/imrf2020>). In cases where this is necessary please update the symposium information - abstracts of the symposia can be updated by the organiser of the symposium. In case you have a drop out of one or two speakers it is best to exchange them by new speakers. As for registration, I would recommend to register early (here <https://www.conftool.net/imrf2020>). At the moment it seems like the spatial restrictions may be loosened. But with this virus you never know. Also, please start looking for a hotel room early. There is the Danube Festival the same week of IMRF - a nice festival along the Danube river. We reserved some rooms but only until a month prior to the meeting. When booking, please refer to “IMRF” to get our conference rates. Looking forward to finally seeing you in Ulm in summer 2022. 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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Workshop: The interplay of complex and coherent dynamics in brain function. May 18-20, Cergy
by boris gutkin 29 Mar '22

29 Mar '22

Interplay of complex and coherent dynamics in brain function will take place at CY Advanced Studies at Neuville-Sur-Oise from 18th to 20th May 2022 thanks to the support of CY Cognition, CYAS, Labex MME-DII. More information can be found here: https://complexityparisseine.wordpress.com/ The workshop will take place in a hybrid form, with a group of participants (at most 50) in presence at CYAS and the rest connected via Zoom. There will be the possibility to present posters of your research activity up to a maximum of 20 posters, There are no costs, but if you are interested you should register in both cases either in presence or in remote (Zoom) by April 30th. Organisers: Alessandro Torcini (CYU), Demian Battaglia (INS marseille), Boris Gutkin (ENS, Paris) and Matteo di Volo (University of Parma, Italy)

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additional 2 postdoc positions (4 in total) at Imperial College
by Schultz, Simon R 29 Mar '22

29 Mar '22

Dear all, In addition to the previously advertised two experimental positions, we have two theoretical postdoc positions available: Four post-doc positions in the Statistical Physics of Cognition Two theoretical and two experimental postdoctoral positions each for a duration of up to 36 months starting as soon as possible after 1st April 2022. All four post-docs will form a collaborative team, will be affiliated with the Departments of Mathematics and Bioengineering at Imperial College London, and will work together with a core team consisting of Simon R Schultz, Henrik Jeldtoft Jensen, Fernando Rosas, Mauricio Barahona, Lucilla de Arcangelis, Ann Go and Amanda Foust. As for the two theoreticians we are looking for people familiar with statistical mechanics of complex systems, including SOC, network theory and information theory. The theory positions can be found here: https://www.imperial.ac.uk/jobs/description/NAT01116/research-associate-mat… The details for the experimental positions are here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… To discuss the theoretical positions, please contact Henrik Jensen (h.jensen(a)imperial.ac.uk<mailto:h.jensen@imperial.ac.uk>) To discuss the experimental positions, please contact Simon Schultz (s.schultz(a)imperial.ac.uk<mailto:s.schultz@imperial.ac.uk>) Best wishes Simon -- Prof Simon Schultz Dept of Bioengineering, Imperial College London http://www.schultzlab.org Director, Imperial College Centre for Neurotechnology http://www.imperial.ac.uk/neurotechnology For Centre admin, email: Dr Kate Hobson, k.hobson(a)imperial.ac.uk

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Atsushi IRIKI speaking on March 31 in Developing Minds global online lecture series
by Jochen Triesch 28 Mar '22

28 Mar '22

Dear colleagues, On March 31, the Developing Minds global online lecture series will feature Atsushi IRIKI, RIKEN Japan: "Self-in-the-world map evolved in the primate brain as a basis of civilized Homo sapiens“ The live event will take place via zoom at: 22:00 JST (Japan Standard Time) 15:00 CET (Central European Time) 13:00 UTC (Universal Coordinated Time) 9:00 EST (Eastern Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract After a specific point in history, hominin evolution accelerated to a level that could not be accounted for by natural selection alone, but an alternative mechanism has been proposed based on mutual interaction among neural, cognitive, and ecological niches in a positive feedback loop (triadic niche construction; TNC). Nevertheless, the trigger events for the cognitive revolution of Homo sapiens as well as the reasons for this event being limited to a single species remain unknown. Using a multidisciplinary approach involving psychology, neurobiology, and phenomenology, I will propose a shift in the mechanisms underlying TNC, from TNC- 1 in primates/hominids to TNC-2 in Homo sapiens, to answer these questions. As the primates and hominin brain expanded during TNC-1, latent cognitive capabilities were incubated within its neural framework to be expressed with a simple rewiring among brain areas in TNC-2, a quick and inexpensive process but one that requires a unique set of preconditions to commence. This process was bootstrapped by the advanced function of “projection,” which enabled humans to recognize the “self” in particular time and space in the world, allowing the manipulation of this world (in both physical and symbolic dimensions) again in a positive feedback loop. Based on these, a new concept of a somatocentric holistic self will be proposed, represented as a more comprehensive body-in-the-world map in the primate brain, taking into account evolutionary aspects that characterize the human cognition and its implication in the emergence of self-consciousness. Paper: Iriki A, Suzuki H, Tanaka S, Bretas R, Yamazaki Y. (2021). The sapient paradox and the great journey: Insights from cognitive psychology, neurobiology and phenomenology. Psychologia, https://doi.org/10.2117/psysoc.2021-B017. Bio Atsushi IRIKI received his Ph.D. in Neuroscience from Tokyo Medical and Dental University in 1986. He held research associate positions at the Tokyo Medical and Dental University and then at The Rockefeller University (USA). He joined the faculty of Toho University Medical School as an assistant professor and then as an associate professor in Physiology (1991-1999). In 1999, he returned to Tokyo Medical and Dental University as a full professor and chairman of Cognitive Neurobiology. In 2004, Atsushi IRIKI was appointed a head of Laboratory for Symbolic Cognitive Development at RIKEN Institute (first at its Brain Science Institute and then 2018 onward at Center for Biosystems Dynamics Research). He is currently a visiting professor of University College London (UK) and Nanyang Technological University (NTU, Singapore), an adjunct professor of Keio University, a research professor of Kyoto University, a senior fellow of the Canadian Institute for Advanced Research (Canada), founding co-director of RIKEN-NTU Research Centres (Singapore & Japan). Web: https://www.riken.jp/en/research/labs/bdr/symbol_cogn_dev/index.html Best 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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Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada
by Joern Davidsen 26 Mar '22

26 Mar '22

Dear colleagues, We are recruiting a postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. Please forward to anyone who you think might be interested. For more info (review of applications will begin on May 1st), please see below or https://www.ucalgary.ca/complexity/positions or reach out to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Best wishes, Joern. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen> ************************************************************************************ Postdoc in Computational Neuroscience and/or Machine Learning at the University of Calgary, Canada We are recruiting a talented postdoctoral researcher in Computational Neuroscience and/or Machine Learning to study network neural dynamics of brain function and psychedelics to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> (AcelNet) that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and representations that drive biological computation. The objective is to understand how the brain develops generative cognitive models to organize perception and behaviour, and the effects of psychedelic drugs. This project involves both analysis of large-scale ensemble neural data collected in our labs, and computational and/or analytical work to develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. Specifically, we are looking for a postdoctoral candidates interested in what mathematical principles predict (1) how the connectivity structure of neural networks – their connectomes – combine with the dynamics of nodes and edges to control the dynamics and statistics of the network, (2) how the brain learns these connectomes to produce generative models predictive of their environment, and (3) how such models are affected by psychedelic drugs. The overarching aim of the project is to understand how mental models become corrupted in depression/anxiety, and how psychedelics appear to reverse the corruption. A variety of world-class data sets on the structure and function of the brain are available to guide theoretical advances in the understanding of underlying brain computation, particularly in learning, perception, and decision making. The position is open immediately with a primary location in Calgary. It is partially funded by the Pacific Institute for Mathematical Sciences<https://www.pims.math.ca/> and is aimed to strengthen the link between the computational neuroscience community at the University of Calgary (Complexity Science Group<https://www.ucalgary.ca/complexity/>, Hotchkiss Brain Institute<https://hbi.ucalgary.ca/>) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience<https://www.uleth.ca/artsci/neuroscience/about>) with the other network members including the Computational Neuroscience Center<https://cneuro-web01.s.uw.edu/> at the University of Washington, and centers in Montreal and Paris. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin May 1st, 2022, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

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PostDoc positions on neuromorphic sensing for condition monitoring
by Fredrik Sandin 26 Mar '22

26 Mar '22

The Embedded Intelligent Systems Lab (EISLAB) at the Luleå University of Technology in Sweden is inviting applications for two 2-year PostDoc positions focusing on neuromorphic sensing for condition monitoring. The scholarships are intended for research that aims to develop knowledge about neuromorphic and event-driven sensor systems for advanced condition monitoring, e.g. investigating filterbanks, charge amplifier designs, event-based sampling, and machine learning based signal processing methods suitable for implementation with spiking neural networks and neuromorphic processors. The project is a collaboration between EISLAB and the division of Machine Elements and is funded by The Kempe Foundations. By taking part in this collaboration you will work in an international, creative resourceful environment with an extensive international contact network. Further information about the positions, requirements and how to apply is available here: - https://www.ltu.se/ltu/stipendier-priser/postdoc-stipendier?l=en - https://web103.reachmee.com/ext/I003/583/main?site=14&validator=47967adc563… ========================= Professor Fredrik Sandin EISLAB, Machine Learning Luleå University of Technology 971 87 Luleå, Sweden www.ltu.se/staff/f/fresan-1.10646?l=en

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MBL Methods in Computational Neuroscience Course - Deadline March 30
by Stephen A. Baccus 25 Mar '22

25 Mar '22

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/advanced-research-training-courses/course-off… 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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Final Call For Papers: RaPID4@LREC-2022 and PSST Challenge ...
by Dim X 25 Mar '22

25 Mar '22

Final Call for Papers: The 4th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" Full-day workshop: co-located with LREC 2022 | Marseille, France | June 25th, 2022 Submission deadline: Sat., 9th of April, 2022 (extended) Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ Website and more details: https://spraakbanken.gu.se/en/rapid-2022 Contact: Dimitrios Kokkinakis (dimitrios.kokkinakis(a)gu.se) RaPID-4 Organizing committee: Kathleen C. Fraser, National Research Council, Canada; Dimitrios Kokkinakis, University of Gothenburg, Sweden; Kristina Lundholm Fors, Lund University, Sweden; Johan Skoog, University of Gothenburg, Sweden; Charalambos K. Themistocleous, Johns Hopkins University, USA; Athanasios Tsanas, The University of Edinburgh, UK ************************************************************************************ Collocated shared task: for papers related to the Post-Stroke Speech Transcription, PSST Challenge: https://psst.study/ Paper submission: https://www.softconf.com/lrec2022/RaPID-4/ PSST Contacts: Steven Bedrick (bedricks(a)ohsu.edu) or Gerasimos Fergadiotis ( gfergadiotis(a)pdx.edu) PSST Organizing committee: Steven Bedrick, Oregon Health and Science University, USA Gerasimos Fergadiotis, Portland State University, USA Robert Gale, Oregon Health and Science University, USA Mikala Fleegle, Portland State University, USA ************************************************************************************ RaPID-4 and the PSST ask for full papers, 4 to 8 pages, plus more pages for references if needed, which must strictly follow the LREC stylesheet: https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/ ************************************************************************************ Description: RaPID-4 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia. Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. the annotation, description, analysis and interpretation of linguistic, paralinguistic and extra-linguistic aspects of such data (i.e. spontaneous spoken language, transcripts, eye tracking, wearable and sensor measurements, digital biomarkers, etc.). Processing of such data can be used to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations. Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. ************************************************************************************

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2 Postdoctoral Research Positions at Imperial College London
by Schultz, Simon R 24 Mar '22

24 Mar '22

These two posts form part of an interdisciplinary collaborative research project, “Statistical Physics of Cognition” funded by the UKRI and Wellcome. The aim of the project is to understand how neuronal avalanches relate to cognition. The postholders will be part of an interdisciplinary team including theorists, experimental neuroscientists and optical physicists aiming to solve this problem. The approach taken will be to perform large-scale neuronal imaging experiments to record the activity of thousands of neurons in the brains of mice performing cognitive tasks, to use advanced methods to analyse how distance from criticality is task-dependent, to develop models describing the role of avalanche dynamics in cognition, and to use graph theory, information theory and complexity theory to advance our understanding how large-scale network dynamics affect cognitive performance. As well as advancing our understanding of the way the brain operates, this may lead to new insights into how neurological disorders such as Alzheimer’s Disease cause degradation in cognitive function, and aid in the development of future treatments. Based in the Neural Coding and Neurodegenerative Disorders Laboratory led by Prof Simon Schultz, we are seeking two postdoctoral fellows to carry out neuroscience experiments involving mesoscopic two-photon imaging of neural activity from thousands of neurons in behaving mice. Applicants should have research experience in either systems neuroscience or in biomedical optics. A PhD in neuroscience, physics, or a cognate discipline is essential. Post 1 – Multiphoton optical microscopy. You will have expertise in biomedical optics, including the construction, maintenance and use of advanced optical apparatus for fluorescence imaging of neural activity, and an interest in neuroscience. Post 2 – Optical neurophysiology. You will have expertise in systems neuroscience, including experience in performing in vivo neurophysiology experiments, and expertise in processing and analysis of neurophysiological data. You will be based in the Neural Coding and Neurodegenerative Disease Laboratory led by Prof Simon Schultz and Dr Amanda Foust, in the Department of Bioengineering at Imperial College London. As well as members of the group, you will work closely with colleagues in the Department of Mathematics, including Prof Mauricio Barahona and Prof Henrik Jensen, as well as two theoretical postdoctoral fellows working as part of the collaborative project. You will also work together with external collaborators, including particularly Dr Fernando Rosas (University of Sussex) and Prof Lucilla De Arcangelis (University of Campania). The link to the official job advertisement and application portal can be found here: https://www.imperial.ac.uk/jobs/description/ENG02064/postdoctoral-research-… I am happy to discuss the positions via email. (Please email me directly rather than replying to this email, as I have mailing list emails filtered). The closing date is 5th April 2022 (but is likely to be extended). Please note that there will be a further two postdoctoral positions advertised shortly, focused on theoretical elements of the project. ---------- Simon R. Schultz DPhil FIET FRSB Professor of Neurotechnology Director, Imperial College Centre for Neurotechnology Dept of Bioengineering, Imperial College London Email: s.schultz(a)imperial.ac.uk http://www.schultzlab.org http://www.imperial.ac.uk/neurotechnology Centre contact: Dr Kate Hobson, 0207 594 5101, k.hobson(a)imperial.ac.uk

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Upcoming HBP Education events
by HBP Education 24 Mar '22

24 Mar '22

Dear Sir*Madam, I hope this e-mail finds you well! I would like to raise awareness for several upcoming events by the HBP Education Programme. Please consider adding them to your list of upcoming events. Symposium: From Cortical Microcircuits to Consciousness Date: 11-13 April 2022 Website: https://www.humanbrainproject.eu/en/education/corticon/ <https://www.humanbrainproject.eu/en/education/corticon/> Description: The Symposium: From Cortical Microcircuits to Consciousness aims at bringing together the Human Brain Project’s neuroscientists and invited guests to present their latest achievements in understanding neurocircuit dynamics at microscales, meso- and macro-scales, including the emergence of consciousness. Theories of consciousness will be reviewed and challenged by new findings from brain circuits and behavior. 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 offer a hands-on session on The Virtual Brain, the platform of EBRAINS for constructing and simulating personalised brain network models. EBRAINS is the European research infrastructure for gathering, processing and simulating brain data. Finally, the Symposium will address the recent advances in neuroethics and neurophilosophy in neuroscience research and society. Address: Institut Catholique de Paris, 21 Rue d'Assas, 75006 Paris, France Registration deadline: 6 April 2022 ———————————————— Young Researchers Event 2022 in Denmark Date: 16 May 2022 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ <https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/> Description: HBP <http://humanbrainproject.eu/> and EBRAINS <http://ebrains.eu/> together with the University of Copenhagen <https://www.ku.dk/english/> invite the entire scientific community, in particular early career researchers, to join the Young Researchers Event on 16 May 2022 at the University of Copenhagen, Denmark. Young Researchers Events provide a setting where EBRAINS <http://ebrains.eu/> RI, the Project’s tools and results are presented to early career scientists as well as to a wider scientific community. The event will introduce participants to EBRAINS, offer opportunities to exchange information and knowledge with peers, as well as with renowned experts. Address: University of Copenhagen, Faculty of Health and Medical Sciences, Maersk Tower, Blegdamsvej 3B, 2200 Copenhagen, Denmark Registration deadline: 9 May 2022 —————————— EBRAINS Brain Simulation School 2022 Training on Single Neuron Models, Brain Circuit Models, Cognition, Collaboratory, Synaptic Plasticity and Learning Date: 30 May – 3 June 2022 Website: https://www.humanbrainproject.eu/en/education/BRAINSIM/ <https://www.humanbrainproject.eu/en/education/BRAINSIM/> Description: 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 <http://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. The event is limited to 40 participants. Address: Splendid Hotel la Torre, Via Piano di Gallo 11, 90151 Palermo, Italy Registration deadline: 30 April 2022 ——————————————— Brain Activity across Scales and Species: Analysis of Experiments and Simulations (BASSES) - EBRAINS Workshop Date: 13-15 June 2022 Website: https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/ <https://www.humanbrainproject.eu/en/education/ebrains-workshops/basses/> Description: The HBP and EBRAINS invite interested scientists to join the forthcoming EBRAINS Workshop on Brain Activities across Scales and Species. The study of brain rhythms and of spatio-temporal patterns of brain activation is an important test-bench for understanding connectivity and the mechanisms that determine cognitive systems in mammals. The large variety of available experimental protocols and measurement techniques enable researchers to investigate new scientific questions. In addition, the input from experimental observations is used to design theoretical models able to emulate brain dynamics and cognitive mechanisms in in-silico experiments. The goal of the BASSES Workshop (Brain Activity across Scales and Species: analysis of Experiments and Simulations) is to provide an overview of the scientific topic of brain states and complexity, state transitions, and their connection with cognitive functions, and to demonstrate the achievements in this field obtained within the Human Brain Project thanks to the functionalities provided by the EBRAINS <http://www.ebrains.eu/> research platforms. Lectures will showcase the latest advancements in analysis strategies and whole-brain modelling tools. Hands-On Sessions will allow the participants to be actively engaged and test the EBRAINS functionalities for data storage, curation, analysis, and modelling. BASSES will allow people with different expertises, from experimental and theoretical neuroscientists to computer scientists, to share results and ideas and connect into a wider community. Address: ROMA EVENTI – Fontana di Trevi, Piazza della Pilotta, 00187 Rome, Italy Registration deadline: 27 May 2022 ———————————————————————— Please don’t hesitate to contact us should you need further info. Thank you in advance Best regards, HBP Education Team

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Computational & Cognitive Neuroscience Summer School application open!
by Chengcheng Huang 24 Mar '22

24 Mar '22

Applications are open for the 11th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 26 to July 17, 2022*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/1239 Application deadline: *April 30, 2022* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. More details can be found at the course website https://www.ccnss.org. Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Faculty: Dani Bassett, University of Pennsylvania Carlos Brody, Princeton University Bob Desimone, Massachusetts Institute of Technology Angela Langdon, National Institute of Mental Health Songting Li, Shanghai Jiao Tong University Yunzhe Liu, Chinese Institute for Brain Research Yuanyuan Mi, Chongqing University Tirin Moore, Stanford University Srdjan Ostojic, École normale supérieure Anna Schapiro, University of Pennsylvania Kim Stachenfeld, DeepMind

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Support for Ukrainian doctoral students in computer science at the University of Vienna
by Moritz Grosse-Wentrup 23 Mar '22

23 Mar '22

Dear all, The Doctoral School for Computer Science (DoCS) at the University of Vienna (https://docs.univie.ac.at/) supports Ukrainian doctoral students in computer science (who are currently enrolled in a Ukrainian university) with 6-month stipends to continue their doctoral studies in Vienna. If you would like to apply for such a stipend, please send an email to uadocs2022(a)univie.ac.at including a CV and a brief description of your dissertation topic. We will then contact you asap regarding further details. We ask for your understanding though that our funds may not cover stipends for all applicants. For other initiatives, please also see https://scienceforukraine.eu/ On behalf of the DoCS and the Faculty of Computer Science, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Kolingasse 14-16, Room 02.49 A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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3 Postdoctoral Positions at the University of Calgary
by Wilten Nicola 22 Mar '22

22 Mar '22

We are currently looking for 3 postdoctoral positions in the Nicola Computational Neuroscience Lab ( http://www.nicolacomputationalneurosciencelab.com) at the University of Calgary, in Alberta Canada: *Postdoctoral Position 1* We are currently looking for a postdoctoral researcher for a 2-year position investigating the interplay between hippocampal and cortical dynamics in memory consolidation. The project will involve both simulating spiking neural networks, and analyzing real spiking data. The ideal postdoctoral researcher will have a PhD in mathematics, physics, or engineering, and will have a proven track-record in working with spiking neural networks. A knowledge of neuroscience is beneficial, but not strictly necessary. Familiarity with multi-unit recordings is also beneficial, but not strictly necessary. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. ------------------------------ *Postdoctoral Position 2* We are currently looking for a postdoctoral researcher for a 2 year position investigating how networks of neurons can learn to create abstraction and semantic definitions from a few stimuli. In short, how do networks of neurons learn and know how to generalize in a meaningful way? The ideal postdoctoral researcher will have a PhD in mathematics, physics or engineering and will have extensive experience in working with feedforward or recurrent neural networks, either artificial or spiking. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. ------------------------------ *Postdoctoral Position 3 * We are currently looking for a postdoctoral research for a 2 year position in commercializing spiking neural network technologies. This is a joint postdoc with Dr. Aaron Gruber, as part of an ongoing initiative on commercializing spiking neural networks for both edge computing, and big-data applications. The ideal postdoctoral researcher will have a strong background in hardware and software engineering, specifically with Field Programmable Gate Arrays or other neuromorphic-like platforms capable of spiking network emulation. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, a brief statement of research interests, and their possible start dates in PDF format to Dr. Wilten Nicola. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin immediately and continue until the positions are filled. For additional information and informal inquiries, please contact Dr. Nicola. The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

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Cajal Computational Neuroscience Course, Application deadline 28 March, 2022
by Gjorgjieva, Julijana 22 Mar '22

22 Mar '22

Dear Students and Postdocs, There is still time to apply to the Cajal Computational Neuroscience course 2022! Application deadline: 28 March 2022 Apply here: http://cajal-training.org/on-site/ccn2022/ Stipends are available. Date and Location: 17 July - 6 August 2022 Champalimaud Center for the Unknown, Portugal Course directors: Brent Doiron, University of Chicago, US Maria Geffen, University of Pennsylvania, US Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany Joe Paton, Champalimaud Foundation, Portugal About the Cajal Computational Neuroscience Course The course teaches the central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. During the course’s mornings, distinguished international faculty deliver lectures on topics across the entire breadth of experimental and computational neuroscience. For the remainder of the time, students work on research projects in teams of 2 to 3 people under close supervision of expert tutors and faculty. Research projects are proposed by faculty before the course and include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. Confirmed Keynote Speakers: Megan Carey – Champalimaud Foundation, Portugal Alex Cayco-Gajic – École Normale Supérieure, France John Krakauer – Johns Hopkins University, USA Gilles Laurent – Max Planck Institute for Brain Research, Germany Máté Lengyel – Cambridge University, UK Ashok Litwin-Kumar – Columbia University, USA Christian Machens – Champalimaud Foundation, Portugal Olivier Marre – Vision Institute, France Ken Miller – Columbia University, USA Srdjan Ostojic – École Normale Supérieure, France Anne-Marie Oswald – University of Pittsburgh, USA Alfonso Renart – Champalimaud Foundation, Portugal Tim Vogels – IST Austria, Austria And others! CAJAL Advanced Neuroscience Training Programme is funded by FENS, IBRO and The Gatsby Foundation. For more information on the CAJAL programme: www.cajal-training.org<http://www.cajal-training.org> ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich office: +49 69 850033 3600 https://www1.ls.tum.de/compneuro

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Call for Symposia - NEURONUS 2022 IBRO Neuroscience Forum (15-17 October 2022, Krakow, Poland)
by Michał Zaręba 21 Mar '22

21 Mar '22

*On behalf of my colleagues, I would like to invite you to **submit symposia proposals for NEURONUS 2022 IBRO Neuroscience Forum, **which takes place on 15-17 October 2022 in Krakow, Poland. We await your proposals until 1 April 2022. More information can be found here: https://neuronusforum.pl/page/40,call-for-symposia <https://neuronusforum.pl/page/40,call-for-symposia>**.* With prominent speakers and unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year we will host 6 keynote speakers including Lauri Nummenmaa (University of Turku, Finland), Florian Engert (Harvard University, Cambridge, USA) and Marina Bedny (Johns Hopkins University, USA). The remaining names will be announced soon. During the upcoming 12th edition of the conference, we will continue to put* emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. To help us achieve this goal, we have opened the *call for symposia*. A symposium should last approximately 90 minutes and be composed of a talk by the Invited Speaker (of post-doc status or higher) and 3-4 talks given by early-career researchers. Early-career speakers may be proposed by the Symposium Organizer. At least two of the early-career speakers must be at pre-doctoral level. The general focus of the symposium should fall within the scope of biological and cognitive neuroscience. Please contact us if more information is needed. We strongly encourage you to join this special initiative and hope to see you in the beautiful scenery of Krakow! On behalf of my colleagues, Michal Zareba Organizing Committee Neuronus 2022 IBRO Neuroscience Forum

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Postdoctoral position in "Multiphysics Brain Aging Modeling" at Stevens Institute of Technology, New York City, USA
by Johannes Weickenmeier 21 Mar '22

21 Mar '22

Dear all. A postdoctoral position in “Multiphysics Brain Aging Modeling” is available in the group of Prof. Johannes Weickenmeier (www.weickenmeierlab.com<http://www.weickenmeierlab.com>). The Matter Biomechanics Lab combines experimental methods to biomechanically characterize brain tissue properties and various computational modeling techniques (e.g. finite element analysis, multiphysics modeling, medical image analysis) with the ultimate goal to better understand healthy brain aging and neurodegenerative diseases. Our constitutive aging and Alzheimer’s disease models couple neurobiology and mechanics (i.e. morphological shape changes and tissue loading) in order to identify abnormal aging patterns and brain regions at risk of developing secondary damage, such as white matter hyperintensities, hypoperfusion, traumatic injury, and vascular degeneration. We validate our models against longitudinal imaging data from databases such as the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We are looking for applications with prior experience in advanced medical image analysis, data analysis, and modeling. Knowledge in the biology of aging is a significant advantage. The research will be performed at the campus of Stevens Institute of Technology right outside of New York. The position is funded through a grant from the NIH. The position is available now until filled. To apply, please send a motivation letter, CV, and contact information for 2-3 references to Prof. Johannes Weickenmeier (johannes.weickenmeier (at) stevens.edu) Stay well, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering |phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

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New INCF endorsement standard: MBF file format
by INCF 21 Mar '22

21 Mar '22

We are pleased to inform you that on January 25 2022, the INCF Standards and Best Practices (SBP) committee <https://incf.org/about/governance/SBP-subcommittee> endorsed the MBF file format as a standard, with the standard number INCFSN-22-01 <https://www.incf.org/mbf-file-format-v-40>. All INCF standards undergo re-review every two years. MBF Bioscience and INCF will work together to further improve the FAIRness of the standard until the next review, including implementation of the governance policy and modification of the standard’s license from the CC-BY-ND-NC to a CC-BY-ND. The committee is pleased to see an open format from a commercial entity go through the endorsement process, and applaud MBF Bioscience for taking this very important step in support of open and FAIR neuroscience. See the community review <https://f1000research.com/documents/10-712> Read the endorsement statement <https://f1000research.com/documents/11-336> *Why endorse community standards? * INCF (incf.org) has implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. Our mission is to make neuroscience more open and FAIR, to ensure that research funds and efforts are well invested, and that neuroscientific findings are robust and replicable. Open community review is a very important step in the process. Quality community standards are necessary to make FAIR resources and processes work, but too many neuroscience communities lack robust standards or have competing incompatible standards. The rapid development of new techniques also means that there is a continuous need for new and updated standards, and that old standards need an active developer and user community keeping them up to date. By endorsing standards, INCF wants to: - Make it easy to find the best, most reliable standard appropriate for your research - Ensure recognition for community members investing their time and effort in standards Similar to other standards, the review criteria <https://incf.org/incf-standards-review-criteria-v20> include: - Openness - FAIRness - Design, testing, and implementation - Governance - Adoption and use - Stability and support - Extensibility - Comparison (similarity to other standards)

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2022 Neuro-Inspired Computational Elements Conference -- Final Agenda -- March 29-April 1 Virtual!
by Aimone, James Bradley 21 Mar '22

21 Mar '22

Dear colleagues, The final agenda for NICE 2022 has been published here https://flagship.kip.uni-heidelberg.de/jss/HBPm?mI=235&m=showAgenda This is the 9th annual NICE meeting, and we will be virtual again this year due to global travel considerations related to the COVID-19 pandemic. NICE covers the neuromorphic computing field with parallel considerations of the neuroscience inspiration and application drivers of brain-inspired computing technologies. Keynote talks Stefano Fusi (Columbia University) Jeff Clune (University of British Columbia) Please join us! Brad Aimone 2022 NICE Organizing Committee -------------------------- James Bradley Aimone, Ph.D. Cognitive and Emerging Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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4-year postdoc in cognitive science
by Dominik Endres 21 Mar '22

21 Mar '22

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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