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PhD-positions in computational neuroscience at the University of Oslo as part of CompSci grant in EU Horizon 2020

by Gaute Einevoll

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

Oct. 18, 2020

Re: [Comp-neuro] Lecture video about Explainable and Reliable AI: Deep Learning and Adaptive Resonance

by Grossberg, Stephen

Dear Colleagues, On September 19, I gave a pre-recorded keynote lecture on Zoom to the 13th International Conference on Brain Informatics about Explainable and Reliable AI, a topic that's of considerable interest these days. The lecture's title and url are: Explainable and Reliable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action http://sites.bu.edu/steveg/files/2020/10/Grossberg-keynote-for-BI-on-9-19-2… The lecture can also be found on my web page sites.bu.edu/steveg along with a pdf of its powerpoint slides and various other lectures and articles. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve(a)bu.edu

Oct. 17, 2020

How to find your scientific neighbours, future colleagues

by Tim Vogels

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

Oct. 17, 2020

Call for papers : Special Issue on Brain Simulation and Spiking Neural Networks ( Cognitive Computation - Springer)

by Vassilis Cutsuridis

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

Oct. 16, 2020

Free Online Seminar: How to build your own Connectome?

by Markus Butz-Ostendorf

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

Oct. 16, 2020

PhD and PostDoc positions on physical models of biological computation

by elisabetta chicca

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

Oct. 16, 2020

Postdoctoral position in computational and statistical neuroscience

by John Pearson

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

Oct. 16, 2020

Postdoc position on Biological Deep Learning

by Walter Senn

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

Oct. 15, 2020

postdoc on computational modelling of perceptual inference and psychophysics (Hyafil lab, CRM, Barcelona)

by Alexandre Hyafil

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

Oct. 15, 2020

PhD/Postdoc position in Tübingen, Deep nets + human neurophysiology data

by Jakob Macke

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

Oct. 15, 2020