- Comp-neuro - lists.cnsorg.org

Job offer: schizophrenia, pharmacology, modeling
by BREYTON Martin 23 Dec '23

23 Dec '23

Dear all, Please find below the description for an available position at INS in Marseille, France: Main contact : Dr Martin Breyton martin.breyton(a)univ-amu.fr<mailto:martin.breyton@univ-amu.fr> Additional contacts : romain.guilhaumou(a)ap-hm.fr<mailto:romain.guilhaumou@ap-hm.fr>, spase.petkoski(a)univ-amu.fr<mailto:spase.petkoski@univ-amu.fr> REPORTS (bRain modEling and PharmacOclinical Response To Schizophrenia) Description: Schizophrenia affects approximately 0.7 to 1% of the world's population. Although there is a large available therapeutic panel, the clinical effectiveness of the antipsychotics used remains limited with 30 to 50% of schizophrenic patients showing an insufficient response to treatment. At the pharmacological level, drug response results from the interaction of genetic (e.g. drug-metabolizing enzymes, drug transporters, drug targets), personal (e.g. age, sex, disease states, treatment adherence) and environmental factors (e.g. smoking, diet, alcohol habits, drug-drug interactions) that produce interindividual differences in terms of pharmacokinetics and pharmacodynamics (de Leon et al., 2009). Currently, only fluid biomarkers are available to optimize exposure to antipsychotics (Therapeutic drug monitoring, TDM and Pharmacogenetics, PGx), but no biomarker is available to optimize the next steps, i.e, the interaction with the receptors, the signal transduction and finally the translation to clinical effect. To fill this void, neuroimaging is a strong candidate and a number of plausible neuroimaging biomarkers have been identified (Kraguljac et al. 2021). Indeed, a modulation of brain connectivity related to response to antipsychotic medication has been described (Mehta et al. 2021). Understanding this modulation thanks to modeling will allow an early stratification of patients before treatment and then an optimization of the treatment for each individual patient (allowing more reliable as well as earlier optimized management). Available data: 100 schizophrenic patients, pharmaco-clinical data, neuroimaging (T1, T2, DTI, rs-fMRI) We are looking for a young researcher (engineer, PhD) from Neurosciences to contribute to this project by performing/participating in the following tasks: * Management, preprocessing and analysis of the clinical database to identify sub-groups of patients at high risk of inadequate antipsychotic drug exposure * Preprocessing and analysis of the neuroimaging data: extraction of biomarkers and comparison between groups * Personalized brain modeling using The Virtual Brain (Sanz-Leon et al. 2015) The ideal candidate should be: * Proficient in Python programming * Familiar with neuro-imaging data * Familiar with computational neurosciences concepts and/or machine learning * Curious about schizophrenia and pharmacology * Have some prior experience in research (internship, publication…) The candidate would work in the Theoretical Neuroscience Group at the Institut de Neurosciences des Systèmes (INS, UMR1106, Marseille) under a research engineer contract or similar for 20 months. They will be supervised by a team of pharmacologists and computational neuroscientists. Depending on the quality of the collaboration, and on the advancement of the project, there will be possibilities to extend the collaboration and work on other related projects at INS. References: Kraguljac, Nina V., William M. McDonald, Alik S. Widge, Carolyn I. Rodriguez, Mauricio Tohen, et Charles B. Nemeroff. 2021. « Neuroimaging Biomarkers in Schizophrenia ». The American Journal of Psychiatry 178 (6): 509‑21. https://doi.org/10.1176/appi.ajp.2020.20030340. Leon, Jose de. 2009. « The Future (or Lack of Future) of Personalized Prescription in Psychiatry ». Pharmacological Research 59 (2): 81‑89. https://doi.org/10.1016/j.phrs.2008.10.002. Mehta, Urvakhsh Meherwan, Ferose Azeez Ibrahim, Manu S. Sharma, Ganesan Venkatasubramanian, Jagadisha Thirthalli, Rose Dawn Bharath, Nicolas R. Bolo, Bangalore N. Gangadhar, et Matcheri S. Keshavan. 2021. « Resting-State Functional Connectivity Predictors of Treatment Response in Schizophrenia – A Systematic Review and Meta-Analysis ». Schizophrenia Research 237 (novembre): 153‑65. https://doi.org/10.1016/j.schres.2021.09.004. Sanz-Leon, Paula, Stuart A. Knock, Andreas Spiegler, et Viktor K. Jirsa. 2015. « Mathematical framework for large-scale brain network modeling in The Virtual Brain ». NeuroImage 111 (mai): 385‑430. https://doi.org/10.1016/j.neuroimage.2015.01.002.

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Postdoctoral positions in computational neuroscience
by Richard Naud 22 Dec '23

22 Dec '23

Centre for Neural Dynamics and Artificial Intelligence, University of Ottawa We are recruiting two postdoctoral fellows. One for a project on large scale spiking neural networks, another for a project involving analysis of high-throughput neural data. The successful candidate will become an integral part of the Neural Coding lab and participate in a collaborative research environment. Ottawa is a vibrant city, capital of Canada. For more information, see https://neurodynamic.uottawa.ca/ottawa.html. For past publications related to this research, see Richard Naud’s google scholar page: https://scholar.google.ca/citations?user=2HXsblgAAAAJ&hl=en And website: https://neurodynamic.uottawa.ca/neuralcoding/index.html Qualifications: Ph. D. in theoretical neuroscience, computer science, or engineering. Start date: As soon as a suitable candidate is found. Submit: CV, statement of research interest and contact for 3 references. Duration: 2 years. Deadline: We will start reviewing applications January 15, 2024. Contact: rnaud(a)uottawa.ca<mailto:rnaud@uottawa.ca> (Richard Naud)

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PhD position call in Barcelona
by Diego Vidaurre 22 Dec '23

22 Dec '23

Hello, There is an open call for a PhD in Barcelona working on machine learning using rich longitudinal neuroimaging, genetics and behavioural data, with the aim of predicting disease trajectories in dementia. The position would be in the Centre de Reserca Matemàtica and the Universidad Autónoma de Barcelona, with me as one of two primary supervisors. Deadline would be mid January. In there is anyone interested, please get in touch. (And please distribute if you can) Thanks d

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PhD project in recurrent neural network models of neural dynamics
by Mark Humphries 22 Dec '23

22 Dec '23

A 4-year fully-funded PhD studentship project with Professor Mark Humphries and Professor Stephen Coombes is available for October 2024 start, through the University of Nottingham's BBSRC Doctoral Training Programme. The striatum is central to an extraordinary range of disorders, from Parkinson's disease to OCD, but our best models for its function are outdated and contradicted by recent data. In this project, we will test the hypothesis that the striatum is a special class of recurrent neural networks (RNNs) that use purely inhibitory connections. We will build and analyse this class of networks, deriving predictions for the computations that striatum performs, and for the activity of neuron populations in the striatum. We will then test these predictions in two large-scale datasets of population recordings from striatum in freely-exploring mice from the studies of Klaus et al (Neuron, 2017) and Markowitz et al (Cell, 2018). The DTP offers 2 lab rotations and wide-ranging training modules. If successful, the PhD student will join the Humphries' lab ( https://www.humphries-lab.org/) and be part of the School of Psychology's extensive postgraduate support network. Closing date:12 noon (GMT) Friday 12th January 2024. For full studentship details and how to apply see here: https://www.nottingham.ac.uk/bbdtp/apply/how-to-apply.aspx Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Book: Principles of Computational Modelling in Neuroscience
by Gaute Einevoll 21 Dec '23

21 Dec '23

We are very pleased to announce our new book: Principles of Computational Modelling in Neuroscience 2nd edition, Cambridge University Press, October 2023 Hardback, paperback and ebook. URL: www.cambridge.org/highereducation/isbn/9781108716420 David Sterratt, University of Edinburgh U.K. Bruce Graham, University of Stirling U.K. Andrew Gillies, Psymetrix Limited Gaute Einevoll, Norwegian University of Life Sciences (NMBU) David Willshaw, University of Edinburgh U.K. Taking a step-by-step approach to modelling neurons and neuralcircuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. Key features: Presents all models within the context of biological scenarios to connect computational models with real neurobiology. Highlights and explains mathematical details in boxes alongside the main text, so readers can follow the discussion easily and clearly. Shows how to choose an appropriate model structure and to set its parameter values. Demonstrates how to translate a mathematical formulation of a model into a simulation. Prof. Bruce Graham, Emeritus Professor of Computing Science Division of Computing Science and Mathematics, Faculty of Natural Sciences University of Stirling, Stirling FK9 4LA Coauthor of "Principles of Computational Modelling in Neuroscience", CUP, 2nd Edition 2023<https://www.cambridge.org/highereducation/books/principles-of-computational…>.

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NEST Conference 2024 — Save the date 17/18 June 2024
by Hans Ekkehard Plesser 21 Dec '23

21 Dec '23

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2024. Save the date for the virtual conference taking place on June 17–18, 2024! The annual NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! Registration and abstract submission will open early next year. For more information on the event please visit the conference website https://nest-simulator.org/conference. We are looking forward to seeing you in June and wish you happy holidays and a good start into the new year! Hans Ekkehard Plesser and colleagues [Image] -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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PhD position in computational psychiatry / computational neuroscience
by Klaus Obermayer 21 Dec '23

21 Dec '23

* * *Neural Information Processing Group @ Technische Universität Berlin (Berlin, Germany))* Faculty IV - Institute of Software Engineering and Theoretical Computer Science *PhD Position in Computational **Psychology**(salary level TV-L E13 100%)* *Visual Information Sampling Using Eye-movements and Overt Attention in Dynamic Scenes*** *Reference number:*IV-790/23 (starting date: May 1st, 2024/ for up to threeyears / closing date for applications for full consideration: January 18th, 2024 / applications will be accepted until the position is filled). *Working field:*This position is part of an interdisciplinary project between psychology, computational neuroscience, and computervision. The successful candidate will conduct model-based data analyses of human behavioral and eye-tracking data andwill perform the computational modelling of eye-movement patterns with help of the ScanDy saccade predictionframework(cf. Roth N., Rolfs M., Hellwich O., and Obermayer K. (2023), Objects Guide Human Gaze Behavior in Dynamic Real-World Scenes, PLoS Comput. Biol. 19, e1011512). Investigations will address the relationship between task, gaze behavior, and scene memorization wheninspecting dynamic scenes andthemechanisms and functional consequences of inter-individual differences inhuman visual sampling strategies. The candidate is supposed to join the PhD program of the Cluster of Excellence “Science of Intelligence” (https://www.scienceofintelligence.de/, specifically projects PJ 01 and PJ 57) which this position is part of. Information about our research group can also be found at https://www.tu.berlin/en/ni. *Requirements:*Successfully completed university degree (Master, Diplom or equivalent) in Computational Neuroscience, ComputerScience, Physics, Mathematics, or related fields. Applicants should have very good programming skills, a very good command of the Englishlanguage, a solid mathematicalbackground, competence in machine learning, and a strong interest in visual perception. Working experience in the fieldof computational neuroscience and an additional background in psychology and / or neuroscience is an advantage. Please send your application with the usual documents only by e-mail to Prof. Dr. Obermayer at*klaus.obermayer(a)tu-berlin.de*, quoting the *reference number*.

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The Canadian Neuroanalytics Scholars (CNS) Program
by Joern Davidsen 20 Dec '23

20 Dec '23

The Canadian Neuroanalytics Scholars (CNS) Program The Canadian Neuroanalytics Scholars (CNS) Program is now accepting Notices of Intent for the 2024 recruitment cycle. Up to 10 scholars will be awarded $70,0000 per year for up to two years, plus access to training and mentorship from CNS Program partners. Who is eligible? The applicant must: * Be affiliated with a Canadian post-secondary institution * Have less than 5 years of full-time training after completion of a doctoral degree * Current PhD students can apply if their degree will be completed before the program start date The proposed supervisor must: * Hold a full-time faculty position at a degree-granting research institution in Canada, such as the Hotchkiss Brain Institute (HBI) at the University of Calgary which is one of the Partner Institutes of the CNS Program (potential supervisors in Computational Neuroscience at the HBI can be found here<https://hbi.ucalgary.ca/computational-neuroscience/graduate-specialization/…>) * Conduct research primarily in the field of neuroscience * Only supervise one scholar awarded from this competition; i.e., a supervisor can only be associated with a single applicant Info Sessions: December 21, 9 am MT | Registration<https://em.ucalgary.ca/MTYxLU9MTi05OTAAAAGQHSqYb0R5x2IpQ_ao-XT-9nQ9ZVBFSQ5I…> more in January (see link below) NOI Deadline: January 31, 2024 12 pm (noon) MT Details and Application<https://em.ucalgary.ca/MTYxLU9MTi05OTAAAAGQHSqYb8HOeVw0opHaxQ77YPFe2LoYmeRG…> --- 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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Post-doctoral research scientist position: Communication in complex audio-visual virtual environments
by Bernhard Seeber 20 Dec '23

20 Dec '23

Dear List, we are inviting applications for a post-doctoral research scientist to join our team for research on communication in complex audio-visual virtual environments. Your responsibilities: - Development of novel techniques for investigating communication ability in interactive audio-visual virtual reality involving the analysis of body, head and facial movements and of gestures - Development of analysis methods for behavioral responses and statistical analysis of the results - Research on binaural hearing and speech in complex acoustic conditions with normal hearing listeners - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. Your qualifications: - Successfully completed doctoral degree (PhD) in one of the following areas: psychoacoustics, audio technology, virtual reality, speech, multimodal interaction, signal processing, or a related area - Knowledge and experience desirable in designing and analyzing psychophysical experiments, virtual reality techniques, behavior analysis, audio signal processing, machine learning, auditory scene analysis, binaural hearing, speech perception and speech tests - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Interest in basic research and the development of complex technical systems in virtual reality - Flexibility and good interpersonal skills - Interest in supervising students, helping with teaching and raising external funds. Our offer: We offer you the opportunity to join a dynamic, interdisciplinary team, to work with cutting-edge technical equipment, including an interactive audio-visual virtual reality system hosted in an anechoic chamber, and to learn about the latest methods in hearing research. As part of the DFG collaborative research center "Hearing acoustics: Perceptual principles, Algorithms and Applications" (https://uol.de/en/sfb-1330-hearing-acoustics) you will work closely with our project partners at the University of Oldenburg. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich, the Graduate School of Systemic Neurosciences, the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous talks and courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please see www.aip.cit.tum.de, http://y2u.be/yN7vD1khTOI and www.tum.de for information. The position is available from 01.04.2024 and initially limited to 30.06.2026. Salary is according to the Collective Agreement for the Civil Service of the Länder (TV-L/E13, 100%). TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application by email no later than 31 January 2024 to Prof. Bernhard Seeber, aip(a)ei.tum.de. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung. By submitting your application you confirm to have read and understood the data protection information provided by TUM. The job advertisement can also be found at: https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20231220_160335 Have a merry Christmas and all the best for the new year! Bernhard -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Department of Computer Engineering School of Computation, Information and Technology Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.ce.cit.tum.de/aip https://www.youtube.com/@audioinformationprocessing www.bseeber.de Key affiliations: Department of Computer Engineering, CIT Bernstein Center for Computational Neuroscience Munich Munich Institute of Biomedical Engineering (MIBE) Munich Institute of Robotics and Machine Intelligence (MIRMI)

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PhD positions in Neuroscience at the Champalimaud Centre for the Unknown
by Memming Park 19 Dec '23

19 Dec '23

Applications are now open <https://fchampalimaud.us2.list-manage.com/track/click?u=b9d91fb510403415e68…> for the International <https://fchampalimaud.us2.list-manage.com/track/click?u=b9d91fb510403415e68…>Neuroscience Doctoral <https://fchampalimaud.us2.list-manage.com/track/click?u=b9d91fb510403415e68…> Programme <https://fchampalimaud.us2.list-manage.com/track/click?u=b9d91fb510403415e68…>. A central goal of the programme is to foster inquiry and discovery by encouraging active participation, critical thinking, and problem-solving among the students. Top evaluated candidates will receive an offer to participate in the PhD programme, which nominally comprises an initial year of classes and lab rotations followed by research in the selected lab. Students will apply for fellowships as part of the curriculum, but success in acquiring external fellowships is not required. A full list of laboratories and their research can be found here <https://fchampalimaud.us2.list-manage.com/track/click?u=b9d91fb510403415e68…> . We’re seeking talented students from all over the world, and from a range of different backgrounds – from life sciences to physics, from mathematics to computer science – to work at the frontiers of knowledge in a supportive, inclusive, and collaborative environment. English is the main language. If you have any questions, please do not hesitate to contact us via email: appindp(a)research.fchampalimaud.org Deadline: January 31, 2024 Interviews and open house: Early-mid March 2024 Final results: End of March 2024 2024 edition starting date: September 2024 --- Group Leader, Champalimaud Centre for the Unknown, Lisbon, Portugal Neural Dynamics = CATNIP Lab http://catniplab.github.io/

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PhD position on reservoirs with dynamic synapses (Göttingen, Germany)
by Fauth, Michael 19 Dec '23

19 Dec '23

The Institute of Biophysics at the Georg-August-Universität Göttingen, Germany, is looking to fill a Ph.D. position (German Salary Scale TV-L E13, 75% (29.85 weekly hours) for 3 years). This post is designed to foster young researchers and give the successful applicant the opportunity to pursue a doctoral degree. The position should be filled by March 1rst 2024 or soon thereafter. The positions will be affiliated with the groups of Dr. Michael Fauth and Prof. Florentin Wörgötter. The Project: Based on mathematical modeling and analysis, we aim to understand how the dynamics of synapses (e.g., synaptic plasticity) will not only shape neuronal activities in recurrent neuronal networks, but also carry out computation. We propose that networks optimally exploit this computational power through continuous rewiring of synapses -- that is creating synapses with different properties and stabilizing synapses with the right dynamics at the right place. We will test this using the abstract framework of reservoir/echo state networks and envision applications both in neuroscience and machine learning. Your Profile: Suitable candidates should have - a Master degree or Diplom in physics, mathematics, computer science or comparable subjects, - excellent mathematical and coding skills (e.g., Python, C++), in particular: -- solid knowledge about linear algebra, differential equations and dynamical systems as well as their numerical simulation, -- basic knowledge in machine learning and optimization as well as computational neuroscience, - good skills in scientific communication (including proficiency in English), - the ability to self-organize and independently solve problems, - and the motivation to perform leading-edge research in a lively, multidisciplinary research environment Optimally, you also have first experiences with - echo state networks and reservoir computing - stochastic processes - information theory - using GPUs for fast computing The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The PhD candidate should enroll into the Göttingen Graduate School for Neuroscience, Biophysics and Molecular Bioscience to profit from their excellent training and supervision infrastructure. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, copies of your certificates and contact information of at least two references until 21th of January, 2024 to Dr. Michael Fauth, e-mail: mfauth[at]gwdg.de. (Online-)Interviews will likely be held on February 5-7th. We will ask the candidates to give a 10min talk about their previous work (e.g. thesis project). If you have any questions, please contact Dr Michael Fauth via the above e-mail. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo

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12 PhD positions and 2 PostDoc positions on "Curiosity" - Göttingen
by Viola Priesemann 19 Dec '23

19 Dec '23

Dear all, in Göttingen, we have 12 open PhD positions and 2 PostDoc Positions within our new "Graduiertenkolleg" - PhD school on "Curiosity", starting summer 2024. We will investigate "curiosity" jointly from the perspective of computational neuroscience, psychology, cognitive science, and artificial intelligence. https://www.uni-goettingen.de/de/681631.html PIs include Nivedita Mani, Alex Ecker, Claudia Fichtel, Julia Fischer, Julia Ostner, Hannes Rakoczy, Anne Schacht, Sascha Schroeder, Caspar Schwiedrzik, Oliver Schuelke, Fabian Sinz, Michael Wibral, Florentin Woergoetter, and myself (Viola Priesemann). Please find all open positions here: https://www.uni-goettingen.de/de/open+positions/681638.html On Wednesday, 20.12.2023 at 12:00 (CET) we will host an informal information session. For any questions, please do not hesitate to contact me (application.priesemann(a)ds.mpg.de) or our coordinator Rowan Titchener rtg2906(a)uni-goettingen.de. Best regards, Viola Priesemann -- Prof. Dr. Viola Priesemann Max-Planck-Institute for Dynamics and Self-Organization & Georg-August-University Göttingen Am Fassberg 17, 37077 Göttingen https://priesemann-group.github.io www.viola-priesemann.de viola.priesemann(a)ds.mpg.de

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Computational neuroscientist positions at Nathan Kline Institute
by Neymotin, Samuel (NKI) 18 Dec '23

18 Dec '23

Several postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by NIH and DoD grants. NKI offers the scientists a highly interdisciplinary environment spanning research at cutting-edge electrophysiology labs, high-performance computing for computational neuroscience, and human fMRI behavioral experiments and data analysis. The funded grants at NKI involve collaborations with leading research institutions including Columbia, The Feinstein Institutes for Medical Research, University of Texas, SUNY Downstate, University of Tennessee, Carnegie Mellon University, Brown, and Stanford. Our NIH-funded projects rely on recently developed, detailed biophysical circuit models of the auditory system. Postdocs will use the models to investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected brain areas. Postdocs will build upon models constrained by electrophysiology data and use the models to devise neuromodulation strategies for inducing/suppressing circuit dynamics, testable in vivo. NKI also has NIMH funding to investigate the origin of electrophysiological biomarkers observed in the auditory system of animal models of schizophrenia (mismatch negativity, altered oscillatory patterns), and using modeling to predict circuit-level origins and treatments. An additional NIH-funded BRAIN award uses modeling of the auditory system to optimize new DISC electrodes developed by our colleagues at UTexas, which could dramatically improve brain computer interfaces. Our DoD projects involve developing computational models of the hippocampal and entorhinal cortex circuits used in spatial navigation, higher level decision making circuits including prefrontal cortex, and integrating these circuit models with agents learning to solve spatial navigation tasks using neurobiologically-inspired learning rules. Postdocs will also integrate these models with basal ganglia models that weigh evidence/context for improved decision-making (developed by colleagues at CMU). Postdocs will also work with applied mathematicians and data scientists at University of Tennessee to use topological data analysis to improve understanding the structure and representations of neuronal circuits used in spatial reasoning, facilitated through detailed circuit modeling. Postdocs will also have the opportunity to collaborate with Army Research Lab computational neuroscientists and mathematicians, with the ultimate aim of using the models developed to improve human-agent teaming. Applicants should have a strong background in: multiscale neural modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, software development, writing/presenting research, and applying for grants. To apply for positions, email a CV and cover letter to Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) The position requires presence at NKI (Orangeburg, New York), with part-time telecommuting allowed. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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M2 internship on bifurcation detection at Institut de Neuroscience des Systèmes (INS) Marseille, France.
by DEPANNEMAECKER Damien 18 Dec '23

18 Dec '23

Dear all, Could you please forward the announcement below to any interested and motivated students? Thanks a lot Damien Depannemaecker M2 internship on bifurcation detection Brief description: For causal estimation in brain pathological conditions, models offer crucial insights into neurophysiological mechanisms. Model-based inference involves constructing a statistical or mechanistic model that captures the essential features of the data-generating process. In this context, simulation-based inference (SBI) using deep neural networks provides an invertible map between parameters and data features. Therefore, there is a need to automatically extract the low-dimensional informative data features, to train the neural networks, the so-called Normalizing-Flows. In this project, our goal is to utilize machine learning algorithms to provide input into the SBI pipeline. The data for this project will be, simulated data from models at different scales and corresponding electrophysiological data such as patch-clamp and intracranial stereoelectroencephalography (SEEG) recordings. The objective is to classify seizure onset and bifurcation patterns from the complex biophysical models. The trainee will benefit from the support of the various skills available within our teams. When: For 5 months, the starting date is flexible in the first semester of 2024. Where: Institut de Neuroscience des Systèmes (INS) Théoretical Neuroscience Group (TNG) Faculté de Medécine, Aix-Marseille Université, 27, Boulevard Jean Moulin, 13005 Marseille, France How to Apply: Send a CV, motivation letter, and two letters of recommendation to: meysam.hashemi(a)univ-amu.fr damien.depannemaecker(a)univ-amu.fr marmaduke.woodman(a)univ-amu.fr

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Fully Funded PhD Position in Theoretical Neuroscience at Donders Institute in the group of Federico Stella
by Stella, F. (Federico) 17 Dec '23

17 Dec '23

A fully-funded 4-year PhD position in the group of Federico Stella at Donders Institute in Nijmegen, NL is now available. I have recently started my own group at Radboud University and in the context of my research in theoretical neuroscience I am currently looking for a PhD student starting as early as possible in 2024. The project will focus on the computational investigation of the role of neural reactivations in memory. Since their discovery neural reactivations happening during sleep have emerged as an exceptional tool to investigate the process of memory formation in the brain. This phenomenon has been mostly associated with the hippocampus, an area known for its role in the processing of new memories and their initial storage. Continuous advancements in data acquisition techniques are giving us an unprecedented access to the activity of large-scale networks during sleep, in the hippocampus and in other cortical regions. At the same time, our theoretical understanding of the computations underlying neural reactivations and more in general memory representations, has only began to take shape. Combining mathematical modeling of neural networks and analysis of existing dataset, we will address some key aspects of this phenomenon such as: 1) The role of different sleep phases in regulating the reactivation process and in modulating the evolution of a memory trace. 2) The relationship of hippocampal reactivations to the process of (semantic) learning and knowledge generalization. 3) The relevance of reactivation statistical properties for learning in cortico-hippocampal networks. The successful candidate will carry out their studies at the Donders Institute of Radboud University in Nijmegen. The project will expose the student to a highly interdisciplinary context, rich in experimental and theoretical expertise. Moreover the project will take place in the context of a wider range of scientific collaborations already established in the lab. The ideal candidate has a strong interest in neuroscience; a background in theoretical physics, math or similar quantitative disciplines (familiarity with statistical mechanics and/or dynamical systems is very welcomed); and some degree of computational and programming skills (ideally, knowledge of Matlab and/or Python) The ideal candidate must also be able to carry out their work in an independent, and highly collaborative manner. The starting date is flexible but should be in the first part of 2024. Interested candidates should submit their application to Federico Stella (federico.stella(a)donders.ru.nl) before 14th of January including a CV and a research interest statement. Interviews with short-listed candidates will be held online later in January 2024.

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New Cognitive Science Master's program (cog-SUP) at Sorbonne Université and Université Paris Cité
by Mehdi Khamassi 15 Dec '23

15 Dec '23

We are happy to announce the birth of cog-SUP, a new interdisciplinary Master's program in Cognitive Science jointly offered by Sorbonne Université and Université Paris Cité. https://cog-sup.fr cog-SUP is an heir of the Cogmaster (2004-2025), itself a descendant of the DEA of Cognitive Science (1987-2004). As such, our pedagogical team and program benefit from more than 35 years of teaching experience in Cognitive Science in Paris. We offer *a broad interdisciplinary openness and a fundamentally collaborative spirit*, bringing together professors, researchers and students from very different backgrounds, united by common research questions. The large majority of courses are in English (except otherwise stated). The program is structured around *a unified core curriculum complemented by six robust disciplinary tracks*. To maintain a well-balanced and foundationally sound interdisciplinary education, cog-SUP is organized into six tracks: (1) psychology, (2) philosophy, (3) computational linguistics, (4) neuroscience, (5) computational neuroscience and artificial intelligence, (6) cognitive science and society. The program proposes innovative teaching methods, new contents addressing contemporary issues. We are particularly attentive to the human, ecological, societal and ethical issues of cognitive science. The program promotes scientific excellence and human values, within a French open university model, and includes important contributions from academics at CNRS, INSERM, EHESS, APHP, among other institutions. Applications for the M1 year will soon be open at https://cog-sup.fr/application/ *Application deadline: *10 March 2024 *Beginning of the M1-level of the program: *1 September 2024 Applications for the M2 year will take place in the Spring of 2025 for the 2025-2026 academic year. *Beginning of the M2-level of the program: *1 September 2025 -- Mehdi Khamassi, PhD, HDR Research director (DR2) at the Centre National de la Recherche Scientifique, Institute of Intelligent Systems and Robotics Sorbonne Université, Paris, France http://www.isir.upmc.fr Co-resp. of modeling major for the Cogmaster program (until Summer 2025) Ecole Normale Supérieure (PSL University), EHESS, Univ. Paris Cité https://cogmaster.ens.psl.eu Co-director of the new master's program in Cognitive Science (cog-SUP) Sorbonne Université, Université Paris Cité https://cog-sup.fr Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://www.iccs.gr/en/?noredirect=en_US Main contact details: Mehdi Khamassi Sorbonne Université, Campus Pierre et Marie Curie - ISIR - BC 173 4 place Jussieu, 75005 Paris, France tel: + 33 1 44 27 28 85 cell: +33 6 50 76 44 92 email:mehdi.khamassi@sorbonne-universite.fr https://pages2.isir.upmc.fr/mkhamassi/

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Fully Funded Summer Internships at CCN (Flatiron Institute, NYC)
by Matthew Turner 15 Dec '23

15 Dec '23

Dear all, The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation will be offering our fully-funded summer internships once again in 2024. More details are included below and on the application page <https://apply.interfolio.com/137388>, and applications are due by February 2, 2024. Please feel welcome to share widely and contact me with any questions. *Summer Interns (Undergraduate, Graduate, and Pre-Doctoral)* *ORGANIZATIONAL OVERVIEW* The Center for Computational Neuroscience (CCN) aims to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN is one of five centers that make up the Flatiron Institute, an internal scientific unit of the Simons Foundation, focused on computational aspects of a wide range of basic science. The general mission of the Flatiron Institute is to advance scientific research through computational methods, including theory, modeling, simulation and data analysis. CCN’s core research groups include computational vision <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Eero Simoncelli <https://www.simonsfoundation.org/people/eero-p-simoncelli/>, PI), neural circuits and algorithms <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Dmitri ‘Mitya’ Chklovskii <https://www.simonsfoundation.org/people/dmitri-mitya-chklovskii/>, PI), neuroAI and geometric data analysis <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, PI), statistical analysis of neural data <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, PI). Candidates must select a primary group for their application, and can optionally indicate a secondary group. Candidates specifically interested in contributing to open source software projects at CCN should indicate the NeuroRSE group <https://neurorse.flatironinstitute.org/events/2023/11/17/summer-2024-intern…> as their secondary group. *POSITION SUMMARY * CCN invites applications for paid summer internship positions by motivated students in computational neuroscience, physics, electrical engineering, machine learning, computer science or related fields. The purpose of this Summer Internship Program is to allow students studying in a relevant field the opportunity to be employed at the CCN for the purpose of collaborating on a research project with one or more CCN staff mentors. Knowledge of neuroscience is helpful but not required. Interested applicants should review the research group pages listed above, and should describe in their research statement the project on which they'd like to collaborate and the research group(s) with whom they’d like to work. Undergraduate students will be appointed with the title of Summer Research Assistant, graduate students will be appointed with the title of Summer Research Associates, and advanced doctoral students (defined as doctoral students who have passed comprehensive/qualifying exams and are actively working on their thesis) will be appointed as Summer Predoctoral Scholars. CCN Summer Interns are invited to participate as full members of the CCN and Flatiron communities during their term of residency. CCN Summer Interns are assigned a primary mentor and research group within the center, are invited to attend and present within their research group’s meetings, and are also invited to participate in meetings of CCN’s other research groups as well as center- and Flatiron-wide activities such as guest lectures, training on use of the Institute’s robust scientific computing resources, and intern social activities. Finally, Summer Interns will be invited to present their work at an Institute-wide symposium held at the end of the residency period. The CCN Summer Internship Program will take place in-person at the Simons Foundation’s offices in New York City. CCN will provide eligible Summer Interns roundtrip travel to New York City and subsidized housing for the duration of their employment. Intern appointment titles and compensation will be determined based on the intern’s education level and experience. Visit the Summer at Simons page <https://www.simonsfoundation.org/summer-at-simons/>to learn more. *ESSENTIAL FUNCTIONS/RESPONSIBILITIES* ● Reporting to the assigned mentor in the CCN, the projects will involve analysis of neuroscience data and modeling networks, applying the skills of analytical calculations and computer programming ● Perform any other duties or tasks as assigned or required *MINIMUM QUALIFICATIONS* *Education:* ● Candidates should be enrolled in an undergraduate, graduate, or doctoral degree program in computational neuroscience, electrical engineering, physics, computer science or related fields. ● Candidates must have permission to participate in the program from their dissertation advisor/PI (CCN PIs will be in touch with advisors directly to confirm). *Experience:* ● Experience with research projects in electrical engineering, computer science physics or related fields is helpful. *Related Skills & Other Requirements:* ● The successful applicant should have experience with programming in Matlab, Python, or C ● The applicant should have satisfactorily completed Cal III and Linear Algebra (NeuroRSE applicants are exempt from this requirement) ● The applicant should have experience with basic optimization and machine learning techniques (Helpful but not required for NeuroRSE candidates) ● Elementary knowledge of neuroscience is helpful *Summer Internship Program and Deadlines* ● Summer Internship Period: May 28 to August 9, 2024 ● Deadline to apply: February 2, 2024 Decisions will be made on a rolling basis through Friday, March 15, 2024. *REQUIRED APPLICATION MATERIALS* ● Curriculum vitae with bibliography; ● Research statement of no more than two pages describing the candidate’s past research experience, the research project on which the candidate would like to work, and the CCN research group(s) with whom the candidate would like to collaborate. *COMPENSATION* ● Interns at the Research Assistant (undergraduate) level will earn $20.00 per hour ● Interns at the Research Associate (graduate) level will earn $25.00 per hour ● Interns at the Predoctoral Researcher (advanced doctoral students) will earn $28.85 per hour. *THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT* Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law. To apply, please visit: https://apply.interfolio.com/137388 Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Flatiron Institute 917.363.1095 mobile mturner(a)flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron <https://www.simonsfoundation.org/flatiron/>

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Full time Lecturer in Computational/Cognitive Neuroscience (Manchester, UK)
by Caroline Lea-Carnall 14 Dec '23

14 Dec '23

The University of Manchester wishes to appoint a full-time Lecturer in Computational Neuroscience / Experimental Psychology / Cognitive Neuroscience (Teaching and Research) to join the Division of Psychology, Communication and Human Neuroscience at the University of Manchester. The successful applicant will have a research profile that has a strong fit to key research themes in the Division. Candidates with demonstrable skills and interests in applying computational approaches to central research questions in experimental psychology and/or cognitive neuroscience are particularly encouraged to apply. The successful applicant will contribute to undergraduate and masters level teaching with a particular focus on contemporary technical research skills (e.g. Python, GitHub, advanced statistical analysis in R). Application deadline: 11th December 2023 Full details and how to apply here: https://www.jobs.manchester.ac.uk/Job/JobDetail?isPreview=Yes&jobid=27033&a… Caroline Lea-Carnall, PhD | Lecturer in Neuroscience | School of Health Sciences | Faculty of Biology, Medicine and Health The University of Manchester | Room 3.07d, Zochonis Building | Oxford Road | Manchester M13 9PG

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Faculty Positions in Human Intelligence, Artificial Intelligence and Machine Learning at Indiana University-Bloomington
by Zoran Tiganj 13 Dec '23

13 Dec '23

The College of Arts and Sciences and the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington invite applications for *three* tenured Associate Professor positions in one or more of the following areas: *human intelligence, artificial intelligence, and machine learning* to begin in Fall 2024 or after. Appointments will be in one or more departments, including Cognitive Science, Computer Science, Informatics, and Psychological and Brain Sciences. The positions are part of a new initiative that aims to transform our understanding of human and artificial intelligence, centered around the new Mind Brain Machine Quadrangle and the Luddy Artificial Intelligence Center. IU has long been an international leader in research on cognition across humans, animals, and artificial systems, and how intelligence manifests in embodied cognition. These hires build on existing strengths to position IU at the forefront of new research innovations in our understanding of human and animal cognition, the development of intelligent computing technologies, and the use of machine learning applied to a wide range of phenomena. *Qualifications: *Applicants must have a PhD in cognitive science, computer science, neuroscience, psychology, or a related field, and a record of scholarship, teaching, and professional experience appropriate for a tenured professorship at IU Bloomington. The positions are open at the associate professor levels, but exceptional candidates at the full and assistant professor level may be considered. To advance scholarly innovation and excellence, we especially welcome candidates who will broadly increase the university’s diversity, equity, and inclusion through any of the following: their lived experience, research, teaching, and/or mentoring. Candidates should be able to work effectively in an interdisciplinary team environment. *Application Procedures:* To apply, submit a CV, letter of application that describes your research, teaching, and engagement with fostering a diverse and welcoming work environment, and be prepared to provide the names of six references. References will only be contacted for those candidates moving to advanced stages of consideration. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/21731. Review of applications will begin immediately and continue until the position is filled. *Applications received by January 5, 2024 will be given full consideration.* The position’s expected start date is August 1, 2024; however, alternative dates can be considered. All queries about the position or the application procedures may be addressed to faculty1(a)indiana.edu. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. -------------- Zoran Tiganj, PhD Assistant Professor Department of Computer Science Luddy School of Informatics, Computing, and Engineering Department of Psychological and Brain Sciences Indiana University Bloomington https://homes.luddy.indiana.edu/ztiganj/ <https://homes.luddy.indiana.edu/ztiganj/%E2%80%8B>

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PhD scholarship in neuroimaging and computational neuroscience (IIT, Italy)
by Jean-Charles Rene' Pasquin Mariani 13 Dec '23

13 Dec '23

Dear comp-neuro list, We propose a four-year studentship aiming to provide students with a multi-disciplinary training in conducting research at the interface of brain functional imaging and computational neuroscience. The project, in partnership with the university of Trento, is directed by Alessandro Gozzi (Functional Neuroimaging Lab, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy) and co-supervised by Stefano Panzeri (Universitätsklinikum Hamburg-Eppendorf, Centre for molecular biology, , Hamburg, Germany). Please refer to this website<https://www.fens.org/careers/job-market/job/116962> for the full offer. See you soon at the doorsteps of the Dolomites. BW, JC Mariani

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Swartz postdoctoral fellowship in theoretical neuroscience at Harvard
by Blum, Kenneth I. 13 Dec '23

13 Dec '23

The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience. Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship<https://cbs.fas.harvard.edu/research/theory/#swartz> is available at Harvard University with a start date in the summer or fall of 2024. Postdocs join a vibrant group of theoretical<https://websites.harvard.edu/cbs/research/theory/> and experimental neuroscientists plus theorists in allied fields at Harvard’s Center for Brain Science<https://websites.harvard.edu/cbs/>. The Center for Brain Science includes faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Applications will be considered immediately and continuing until the position is filled. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim(a)fiz.huji.ac.il<mailto:haim@fiz.huji.ac.il>) or Kenneth Blum (kenneth_blum(a)harvard.edu<mailto:kenneth_blum@harvard.edu>). Applications should have “Swartz Fellowship” in the subject line. We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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Exciting news from INCF: Neuroscience Community & Neuroinformatics special collection
by INCF 13 Dec '23

13 Dec '23

Exciting news from INCF: 1. Launch of *Neruoscience Community* 2. Contribute to *Neuroinformatics* special collection *1. Launch of Neuroscience Community* Together, INCF and GA4GH has launched the *Neuroscience Community*, connecting global neuroscience and genomic data, and developing standards and systems needed to power data visiting! This new group unites collaborators from around the world to share best practices and improve standards that will expand the responsible use of data. Learn more <http://bit.ly/INCFandGA4GH> *2. Contribute to Neuroinformatics special collection* Are you developing training in computational neuroscience, data science, data management, or neuroinformatics? Please consider sending your work to the special collection at *Neuroinformatics* - Bridging the gap: How neuroinformatics is preparing the next generation of neuroscience researchers. Even better, the collection is guest-edited by INCF! Learn more <https://link.springer.com/collections/hfghcbgaeg>

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Call for Abstracts – Neural Traces 2024: Advanced M/EEG Methods and Clinical Applications Workshop
by Nguyen, Tien Dung 13 Dec '23

13 Dec '23

Neural Traces 2024: Advanced M/EEG Methods and Clinical Applications Workshop April 10-12, 2024 @ PTB Berlin, Germany https://neuraltraces2024.org<https://neuraltraces2024.org/> | Submission deadline: January 8, 2024 | Registration opening: February 1, 2024 Neural Traces is an onsite, three-day workshop on methods in electroencephalography and magnetoencephalography (M/EEG) and their clinical applications. Advances in M/EEG, and the methods employed to extract information from their corresponding signals, have increasingly contributed to our understanding of brain function and network connectivity. In this workshop, we review various methods that have been developed to enable accurate source imaging from these electrophysiological modalities. We also discuss M/EEG signal extraction and interpretation in the context of various neurological and psychiatric disorders. We are soliciting extended abstract submissions for contributed oral and poster presentations. Topics Suitable submissions may cover but are not limited to the following topics: I. Advanced M/EEG data analysis methods: * Signal processing and time series modeling * Forward and inverse modeling * Machine learning and multivariate modeling * Open science (software, data, standards, protocols, ...) II. Clinical applications of M/EEG: * Movement disorders * Aging and dementia * Psychiatric and developmental disorders * Epilepsy * Sleep and consciousness disorders Submission guidelines Title, author list and affiliations, 700-word (maximum) extended abstract outlining the study's background, approach, (preliminary) findings and significance, and references. Optional: figure with a 150-word (maximum) description Registration and on-site participation is required for presenters. Please visit https://neuraltraces2024.org<https://neuraltraces2024.org/> for abstract submission, registration, and further information about the workshop. Important dates * January 8, 2024: Abstract submission closes * February 1, 2024: Workshop registration opens Workshop hosts and support Neural Traces 2024 is organized by the Brain and Data Science Group at Charité-Universitätsmedizin Berlin, the Machine Learning and Inverse Modeling Group at PTB Berlin, and the Uncertainty, Inverse Modeling and Machine Learning (UNIML) Group at Technische Universität Berlin. The Workshop is partially supported by the European Research Council (Funding ID: 758985) and the Helmholtz Fund.

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Modelling with NeuroML: ecosystem updates and pre-print
by Ankur Sinha 13 Dec '23

13 Dec '23

Dear all, This is to alert you to the availability of exciting new resources for the model description language NeuroML and a recently posted bioRxiv preprint on the ecosystem of NeuroML-compliant tools for data-driven modelling of neurons and circuits. In the preprint (doi: https://doi.org/10.1101/2023.12.07.570537) we provide a major update on the current scope of the NeuroML standard, the software ecosystem and describe the newly extended online resources for helping researchers incorporate NeuroML into their modelling work. We show how the modular nature and hierarchical structure of NeuroMLv2, combined with the flexibility of coding in Python, has created a powerful "building block" approach for constructing standardised models from scratch. Moreover, we illustrate how the ecosystem of NeuroML compliant tools supports users at all stages of the model development life cycle. This includes automated model validation, advanced analysis, visualisation, and sharing/reuse of models. The paper demonstrates how NeuroML unifies and standardises the diverse approaches to biologically-detailed computational modelling of neural systems, by enabling an ecosystem of interoperable tools that support the FAIR principles and promotes open, transparent and reproducible science. In the newly updated NeuroML online resources (https://docs.neuroml.org) we provide tutorials on how to use NeuroML to build, validate and share standardised models together with extensive documentation on this INCF approved community standard. We hope you find these resources useful for your modelling work. On behalf of the NeuroML community, Ankur Sinha, Padraig Gleeson, and Angus Silver. -- 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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Seventh Groningen Spring School on Cognitive Modeling
by Jelmer Borst 13 Dec '23

13 Dec '23

– ACT-R, Nengo, PRIMs – Date: 8-12 April 2024 Location: Groningen, the Netherlands Fee: € 305 (late fee after March 7 will be € 355) More information and registration: http://www.ai.rug.nl/springschool/ – – – – – – – – – – – – – – – – – – – – Dear colleagues and students, We are excited to announce the seventh Spring School on Cognitive Modeling in Groningen, from 8-12 April 2024! The Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials). Past years have shown that students get most out of the spring school if they really immerse themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only. To give students a broader picture, there will be multiple guest lectures throughout the week. These lectures will give an introduction to other modeling paradigms, as well as practical research examples to show you what can be done with the modeling paradigms presented! Everyone is encouraged to attend those lectures. To round off the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner. Registration is now open. Please feel free to forward the information to anyone who might be interested in the Spring School, and let us know if you have any questions! We are looking forward to welcoming you (again) in Groningen, The Spring School team springschool(a)rug.nl <mailto:springschool@rug.nl> – – – – – – – – – – – – – – – – – – – – ACT-R Teachers: Jelmer Borst & Stephen Jones (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/> ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.

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