- Comp-neuro - lists.cnsorg.org

Postdoctoral position Lyon

by DI VOLO MATTEO

A post-doctoral position is open in computational neurosciences at the Neurobiology of Executive Function lab at the Stem Brain Research Institute in Lyon (https://www.sbri.fr/).The research project aims to understand the neural mechanisms of learning during decision making. The project includes the development of a biophysical model of neuronal networks and neural mass models [1] for decision making and adaptive behaviour. The model will be developed in synergy with data analyses of monkeys electrophysiology data during task performances [2]. The successful candidate will be part of a team with experts in computational/theoretical neurosciences and will benefit from the availability of state of the art recordings at SBRI [2] and, more in general, of the rich neuroscience environment in Lyon. We welcome applicants with diverse scientific backgrounds, including, neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with good programming skills (e.g. Python, C++). If interested, please take contact with Matteo di Volo: matteo.divolo(a)univ.lyon1.fr<mailto:matteo.divolo@univ.lyon1.fr> -- Matteo di Volo Junior Professor Lyon 1 University Stem and Brain Research Institute INSERM https://sbri.fr/public-profile/124/single-member/

June 21, 2023

New PhD position at Charité Berlin

by Roshan Rane

Dear Comp-neuro group, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. The advertisement is posted at: https://www.linkedin.com/jobs/view/3625491271/ ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)bccn-berlin.de <mailto:roshan.rane@charite.de>) and Kerstin Ritter (kerstin.ritter(a)charite.de <mailto:kerstin.ritter@charite.de>). _____________________________________________ Looking forward to your applications! ---- With warm regards, Roshan Rane

June 21, 2023

Call for abstracts: Brain Informatics 2023 in Hoboken New Jersey

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR Abstracts The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 30 Jun 2023: Abstract/workshop proposal Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Program Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information.

June 20, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS - ● Michael Bronstein University of Oxford UK - ● Kathleen Carley Carnegie Mellon University USA - ● Manlio De Domenico University of Padua Italy - ● Danai Koutra University of Michigan USA - ● Romualdo Pastor-Satorras Univ. Politècnica de Catalunya Spain - ● Tao Zhou USTC China TUTORIALS - ● Tiago de Paula Peixoto CEU Vienna Austria - ● Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - ● Papers will be included in the conference proceedings edited by Springer - ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 19, 2023

Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany

by Jörge Minula

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------------------------------------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d) **starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group ( https://uol.de/stellen?stelle=69636) Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) - Salary: E13 TV-L, 100% ( https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt) How to apply: Follow the description at https://uol.de/stellen?stelle=69636

June 19, 2023

PhD/postdoc position (fully funded) in resource-efficient probabilistic inference

by Luigi Acerbi

Dear all, I am looking for a postdoc or PhD student in *Resource-Efficient Probabilistic Machine Learning*, to join our group <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> at the Department of Computer Science, University of Helsinki, with applications in model fitting of complex computational models in cognitive science and AI. The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled. *For the full ad:* https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/ph… *Brief project description:* The main goal of the project is to extend and improve on our VBMC framework for efficient probabilistic inference with moderately-to-very expensive models, published in multiple papers (e.g., Acerbi, NeurIPS 2018 <https://arxiv.org/abs/1810.05558>; Acerbi, NeurIPS 2020 <https://arxiv.org/abs/2006.08655>), available in MATLAB <https://github.com/acerbilab/vbmc> and recently released for Python <https://github.com/acerbilab/pyvbmc>. We aim to perform Bayesian inference for parameters of complex, expensive state-of-the-art models in fields such as cognitive science and AI. An example is the AI-inspired model of human gameplay from Wei Ji Ma's group (van Opheusden et al., Nature 2023 <https://nature.com/articles/s41586-023-06124-2>). The project includes funding for research visits to international collaborators such as Wei Ji Ma <https://www.cns.nyu.edu/malab/> at New York University and Michael Osborne <https://www.robots.ox.ac.uk/~mosb/> at the University of Oxford. We also have many local collaborators, such as Antti Honkela <https://www.cs.helsinki.fi/u/ahonkela/> for applications of sample-efficient inference to privacy, and our team is highly involved in the thriving & highly collaborative community of probabilistic ML/AI researchers — PhDs, postdocs, PIs — in the Finnish Center for Artificial Intelligence FCAI <https://fcai.fi/>, on top of many ongoing national and international collaborations in cognitive science and computational neuroscience. Best wishes, Luigi -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence

June 16, 2023

Systems Vision Science Symposium – Program available

by Pavlovic, Maria

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany The program is now available here: https://summerschool.lizhaoping.org/contributions-for-symposium/ We still have limited space available <https://summerschool.lizhaoping.org/contributions-for-symposium/> registration to the symposium is accepted until space is filled! Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

June 15, 2023

Postdoctoral Fellow Position in Brain Imaging Computing, Lehigh University, USA

by Yu Zhang

*Postdoctoral Research Fellow Position in Brain Imaging Computing* *Lehigh University, USA* The Brain Imaging and Computation Laboratory (BIC Lab) at Lehigh University has an opening position for Postdoctoral Research Fellow in brain imaging computing. *Position description:* The research projects will focus on developing and applying a variety of machine learning/deep learning methods for brain imaging analysis and prediction. The successful applicants will contribute to research and development in artificial intelligence (AI)-driven neural biomarker discovery using multimodal neuroimaging techniques (e.g., MRI and EEG) for precision medicine of various brain diseases. *Qualifications:* Successful applicants will have a Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or other related fields, and strong motivation to do high-quality research in novel brain imaging computing with machine learning. Additionally, strong quantitative skills and a programming background (Python and/or Matlab) are important. Previous research experiences in related fields and scientific publications in journals/conferences are preferred. *Lehigh University:* Lehigh University is a premier research university in the United States, consistently ranked in the top tier of national research universities each year. It is a coeducational, nondenominational, private university that offers a distinctive academic environment for undergraduate and graduate students from across the globe. The University campus is located in Pennsylvania’s scenic Lehigh Valley, with a driving distance of 1 hour to Philadelphia and 2 hours to New York City. *Application:* Interested candidates should send their CV and a cover letter describing research accomplishments and interests to Dr. Yu Zhang at yuzi20(a)lehigh.edu The application materials will be reviewed immediately once received. The starting date for this position is immediate but negotiable. Best regards, Yu Zhang, PhD Assistant Professor Department of Bioengineering Department of Electrical and Computer Engineering Lehigh University Webpage: http://yuzhangresearch.weebly.com/ Email: yuzi20(a)lehigh.edu

June 15, 2023

Please share: Call for investigator-led session abstracts!

by INCF

Hello! INCF is looking for applications to investigator-led sessions at INCF Assembly 2023! Please forward this email or share the following posts with your community through your social media channels, newsletters, or other communication streams: *1. Retweet this post! <https://twitter.com/INCForg/status/1668994420090306561?s=20>* *2. Share this post on Twitter!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts! 🧠* *📅 Abstract deadline: Jun 23Submit y* *our abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* *#FAIR #neuroscience #OpenScience* *3. Share this post on your social media channel of choice!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts!* *INCF's annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience.* *Abstract deadline: Jun 23* *Submit your abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* Thanks for your help, and see you at Assembly! /The INCF Team

June 14, 2023

Bernstein Conference 2023 - Deadline for contributed talks coming up

by Bernstein Communication

Deadline for contributed talks for the Bernstein Conference 2023 in Berlin is coming up +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for contributed talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 14, 2023

decision neuroscience postdoc at UL

by Tobias U. Hauser

Dear all We have a postdoc position at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging to fill this summer. The eligible candidate should have a strong background in fMRI and decision making. They will join the developmental computational psychiatry group, working on innovative topics, such as structure learning, complex decision making and mental health. The focus will be on conducting fMRI research with the possibility to do computational modelling. If you are interested, please see the advert here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5227&n… Deadline is the 18th June, approaching quickly! Please reach out in case of questions. Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk https://ucl.zoom.us/j/7601915601 www.tobiasuhauser.com www.devcompsy.org

June 14, 2023

Open postdoctoral, Ph.D., and research assistant positions in Computational Neuroscience at UCLA

by MARIO DIPOPPA

Dear colleagues, We seek outstanding applicants who are interested in developing theoretical models to investigate fundamental questions in Computational and Theoretical Neuroscience. The selected candidates will be working on questions addressing how brain computations emerge from the dynamics of the underlying neural circuits and how the neural code is shaped by computational needs and biological constraints of the brain. To tackle these questions, we employ a multidisciplinary approach that combines state-of-the-art modeling techniques and theoretical frameworks, which include but are not limited to data-driven circuit models, biologically realistic deep learning models, abstract neural network models, machine learning methods, and analysis of the neural code. Our research team, the Theoretical and Computational Neuroscience Laboratory, is on the main UCLA campus and enjoys close collaborations with the world-class neuroscience community there. The lab, led by Mario Dipoppa, is a cooperative and vibrant environment where all members are offered excellent scientific training and career mentoring. We have multiple open positions at different levels. For all these positions, we offer competitive salaries and benefits. Postdoctoral positions. We are looking for candidates, who are eager to solve fundamental questions with a creative mindset. Candidates should have a strong publication track record in Computational Neuroscience or a related quantitative field, including but not limited to Computer Science, Machine Learning, Engineering, Bioinformatics, Physics, Mathematics, and Statistics. Candidates holding a Ph.D. degree interested in joining the laboratory as postdoctoral researchers should submit a CV including a publication list, a copy of a first-authored publication, a research statement describing past research and career goals (max. two pages), and contact information for two academic referees. Ph.D. positions. We are looking for candidates with a profound curiosity for exploring novel research directions in Computational Neuroscience. Candidates should have a strong academic track record in a quantitative field. Candidates interested in joining the laboratory as Ph.D. students should first enroll in one of the graduate programs at UCLA. Informal inquiries on the appropriate graduate program are welcome by email. Candidates should attach a CV and a description of their research interest in their inquiries. Research assistant positions. We are looking for candidates with a keen interest in gaining research experience in Computational Neuroscience, pursuing their own projects, and supporting those of other team members. Candidates should have a bachelor's or master's degree in a quantitative discipline and strong programming skills, ideally in Python. Candidates interested in joining the laboratory as research associates should send a CV, a research statement describing past research and career goals (max. one page), and contact information for two academic referees. UCLA is an Affirmative Action / Equal Opportunity Employer (AA/EOE). We strive to promote an inclusive and collaborative work environment. We welcome applications from diverse backgrounds and perspectives. Individuals from underrepresented groups are strongly encouraged to apply. We strongly encourage candidates to apply early as applications will be reviewed until the positions are filled. The positions are available immediately with a flexible starting date. Please submit the application material as a single PDF file with your full name in the file name to mdipoppa(a)g.ucla.edu. Informal inquiries are welcome. For more details visit www.dipoppalab.com. All the best, Mario Dipoppa -- *Mario Dipoppa, PhD* Assistant Professor *University of California, Los Angeles* *Department of Neurobiology* *David Geffen School of Medicine* *https://www.dipoppalab.com <https://www.dipoppalab.com>* *mdipoppa(a)g.ucla.edu <mdipoppa(a)g.ucla.edu>*

June 13, 2023

computational neuroscience postdoc position

by Neymotin, Samuel (NKI)

A postdoctoral scientist position is 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 recently awarded grants. Our NIH-funded project investigates the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI (Noelle O’Connell, Charlie Schroeder) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies testable in vivo. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) NKI is an equal opportunity employer. The position requires presence at NKI(Orangeburg, New York), with part-time telecommuting possible. ________________________________ 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.

June 12, 2023

Computational neuroscience, AI and SI: deadlines June 26 and July 26 - National PhD in AI

by Matteo Ferrante

*Call:* Are you fascinated by the intriguing intersection of Computational Neuroscience and Artificial Intelligence? Do you find yourself captivated by groundbreaking concepts such as neurotech, neuromorphic computing, and many-person neuroscience, among others? Are you intrigued by the vast potential of artificial intelligence in the realm of biomedical data modeling? If yes, we invite you to consider applying for one of the three exciting PhD positions available at the University of Rome Tor Vergata. In our enriching research and training program, you can delve into a wide spectrum of innovative domains ranging from Neurotech to Biomedical imaging and simulation, novel drug delivery systems and neuromodulation technology, physiological systems modeling, the future of AI-based radiation oncology planning, and HCP, among others. The possibilities for exploration, growth, and discovery are limitless, with opportunities to engage in both computational and experimental work tailored to align with your unique profile and interests. *Activities:* We are looking for enthusiastic, result-oriented graduates or postgraduates who are eager to immerse themselves in these pioneering research fields. Join our interdisciplinary team (https://fismed.uniroma2.it/) to contribute to a dynamic environment that thrives on collaboration, teamwork, and intellectual curiosity. As part of our team, you will engage in a range of activities from grant-writing and drafting of scientific publications to occasionally teaching at the university level. Moreover, you'll get the opportunity to collaborate at national and international levels and tackle challenging research problems that span across the physical, mathematical, computational, basic and clinical sciences. We are proud recipients of funding from renowned organizations such as the European Commission (Horizon 2020 and Horizon Europe, EIC), the Italian National Ministry of Health, The Italian Association for Cancer research (AIRC), the US Department of Defense (DOD), and the National Institutes of Health (NIH), as well as private institutions and foundations. *Profile:* You hold a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. You have a robust understanding of dynamical systems theory, computational neuroscience and/or AI. Desirable but not necessary: experience with neuroscience data, control systems, neural differential equations, and other related fields. You have a strong background in mathematics and Python programming skills, and are familiar with advanced machine learning libraries. You are passionate about research and exploration in the field. *Application:* To apply, send a brief motivation letter and a Curriculum Vitae to Prof. Nicola Toschi (toschi(a)med.uniroma2.it) and cc Dr. Andrea Duggento (andrea.duggento(a)uniroma2.eu) More information about our PhD programme at: https://www.phd-ai.it/en/359-2/ We look forward to your expression of interest and potential contribution to the exciting world of Computational Neuroscience and AI! -- Prof. Nicola Toschi https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w… Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) toschi(a)med.uniroma2.it Research Staff, Associate Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA nicola(a)nmr.mgh.harvard.edu

June 12, 2023

International SiNAPSA Neuroscience Conference (SNC'23) - September 28th to 30th 2023

by Nina Omejc

** *Dear colleagues,* * We kindly invite you to participate at the 10th biennial international SiNAPSA Neuroscience Conference (SNC'23), which will take place from September 28th to 30thin the heart of Ljubljana, Slovenia. The conference will cover a wide range of topics in the field of neuroscience, medicine, psychology, and related disciplines. It will feature the latest research contributions that enhance our understanding of brain function and the treatment of neurological disorders. Do not miss the opportunity to engage in knowledge exchange, gain novel insights, and establish connections with esteemed colleagues and leading experts. SNC'23 is supported by the International Brain Research Organization (IBRO), the International Centre for Genetic Engineering and Biotechnology (ICGEB), and the neuroscience societies of neighbouring countries. Distinguished plenary speakers such as Prof. Martin Turner, Prof. Apkar Vania Apkarian, Prof. Jasna Križ, Prof. Daniele Perani and Prof. Aleksej Verkhratsky will enrich the conference program. Furthermore, several events, including the Ljubljana Clinical Neurophysiology Symposium 2023 and the Educational Workshop on Pain <http://www.sinapsa.org/SNC23/workshop/programme>will accompany the main programme <https://www.sinapsa.org/snc23/media/schedule/Schedule-SNC23.pdf>. Junior scientists also have the opportunity to apply for a travel grant <http://www.sinapsa.org/SNC23/call-for-travel-grants>. For further information regarding submissions of poster presentation abstracts, registration, and the programme, please visit our website at https://www.sinapsa.org/SNC23 <https://www.sinapsa.org/SNC23>or contact us at snc23(a)sinapsa.org <mailto:snc23@sinapsa.org>. Important dates: * Abstract submission deadline - June 17th * Deadline for travel grant application - June 17th * Early registration deadline - August 24th Kind regards, Nina Omejc, on behalf of the SNC’23 Programme and Organising Committees *

June 9, 2023

[Meetings] Live Demo at IEEE Sensors 2023 conference

by Calogero Maria Oddo

Dear Colleagues, hereafter, please find a reminder about the possibility to submit Live Demo proposals at the IEEE Sensors 2023 conference. This is an opportunity to demonstrate novel sensing technologies resulting, as an example, from research projects. The IEEE Sensors 2023 conference will be held in Vienna from October 29 to November 1, 2023: https://2023.ieee-sensorsconference.org/ As always, it will be a major discussion forum for new ideas, technologies and applications concerning the topic of sensors. In addition to the presentation of oral and poster papers, an interactive session is available to present prototypes and demonstrators of new ideas: https://2023.ieee-sensorsconference.org/live-demos The operational deadlines are as follows: Paper/Demo proposal: June 18, 2023 Notification of acceptance: August 9, 2023 Final submission: August 30, 2023 Best regards, Calogero Oddo -- Calogero M. Oddo, PhD Associate Professor of Bioengineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Head of the Neuro-Robotic Touch Laboratory The BioRobotics Institute and Department of Excellence in Robotics & AI Interdisciplinary Research Center Health Science Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics http://www.santannapisa.it/en/neuro-robotic-touch-laboratory email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

June 9, 2023

PhD position (deadline June 19th): Learning and Control with Spiking Neural Networks at the Donders Centre for Cognition

by Keemink, S.W. (Sander)

Are you interested in how our brain is able to so precisely control the body, and adapt to new situations? Would you like to dive deep into current theories for how this works, and develop new ones? Are you either highly interested in modelling the brain, and/or in applying the resulting theories to practical problems? Then this is a PhD position you should apply for. To successfully control the body our brain needs to generate stable states (i.e. keep a hand somewhere), but also full dynamic behaviours (i.e. a full arm swing). The brain does this highly efficiently through networks of spiking neurons - the efficiency and success of which is yet to be reproduced in AI. Crucially, neural activity during dynamic tasks is often observed to lie on lower-dimensional manifolds. Why this is useful, and how networks generate and adapt such activity manifolds, is the subject of many theoretical models but still very much an open question. In this NWO-funded 4-year PhD project, using tools from both AI and neuroscience, you will develop neural networks which produce such low-dimensional manifolds and then use these to learn efficient and effective control. This project is expected to yield more capable AI systems and further our understanding of brain computations. Dependent on your background and interests, the project can either go deep into applying the resulting models to AI control problems, or reproduce and predict neuroscience experiments. You will be supervised by Dr. Sander Keemink and Prof. Marcel van Gerven, and advised by Dr. Nasir Ahmad. The project is hosted at the AI department of the Donders institute, where there are additional opportunities to collaborate with experts in neuroscience, robotics, AI, and other related disciplines. Profile: * You have obtained a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. * You have a strong understanding of dynamical systems theory, and computational neuroscience and/or AI (knowledge of spiking neural networks is a big plus). * Desirable but not essential: experience with neuroscience data, control systems, and/or neural differential equations. * You have an excellent background in mathematics and Python programming skills, and you are familiar with advanced machine learning libraries. * You have a passion for research. Application: For more details, and application form, see here: https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-learning-an… -- Sander Keemink Assistant professor (https://www.ru.nl/en/people/keemink-s) Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University, Nijmegen, The Netherlands

June 9, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> Please submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 9, 2023

Open call for postdoctoral applications in areas of Artificial Intelligence, Machine Learning and Cognitive Robotics

by Ajaz Bhat

Apologies for any cross-posting! Dear all We at the Universiti Brunei Darussalam (UBD) are inviting open applications for postdoctoral positions in various areas including Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics. As a postdoctoral fellow, you may work on a research theme of your own or join one of my existing research projects. You will also be able to apply for joint grant proposals within UBD. If you are interested in areas of Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics, please email me your interests and CV at ajaz.bhat [AT] ubd.edu.bn. For more details on the postdoctoral scheme and benefits, please visit https://research.ubd.edu.bn/?page_id=3797 Ajaz A. Bhat, PhD Programme Leader for AI and Robotics, Applied AI and Data Science School of Digital Science (SDS), Universiti Brunei Darussalam (UBD) Web: https://expert.ubd.edu.bn/ajaz.bhat

June 9, 2023

Three studentships in biomimetic embodied AI

by Thomas Nowotny

Dear Comp-Neuro community, We are offering 3 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton. Apply online: https://www.sussex.ac.uk/study/phd/apply Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulm…. Kind regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

June 8, 2023

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15

by Rubchinsky, Leonid L

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

June 8, 2023

Modellers Workshop for the Brain Dynamics Toolbox (Final Call)

by Stewart Heitmann

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. This is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. The course has a practical focus on programming bespoke models and visualising the dynamics. Topics include Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023.

June 8, 2023

Professorship in AI at Bristol University

by Conor Houghton

The Faculty of Engineering in Bristol University is looking to appoint a professor in AI; this opening isn't specific to computational neuroscience but candidates from the AI / ML part of computational neuroscience or cognitive science would certainly be considered, the Neural Computation group in Bristol are involved in the search and will be part of any discussion about who to appoint. Neural Computation is an important part of the machine learning community in Bristol, we are involve in teaching AI and are recognized as contributing a lot to the research profile of the university in this area. We are very keen that strong candidates for our community consider applying! https://www.bristol.ac.uk/jobs/find/details/?jobId=313360&jobTitle=Professo… The deadline is 25 June. All the best Con ______________________________ Conor Houghton Computer Science, Bristol University. Merchant Vulturers Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him [cid:a899a289-67ea-4622-b7b1-ad158d51af85]

June 7, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA)

June 7, 2023

Autumn School at Ulster University

by O'Donnell, Cian

The Intelligent Systems Research Centre (ISRC) from Ulster University, Derry~Londonderry campus is delighted to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again for the third time this year. The school will be organised in a hybrid mode, providing facilities for both in-person and online attendees. Supported by the IEEE Computational Intelligence Society, IEEE Brain and other sponsors, this year's Autumn School will run from the 25th October to 31st October, inclusively. The topics covered in the seven-day ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this seven-day School, which will consist of lectures, labs and group projects. Attendees will have the opportunity to present their group work on the final day, and awards will be given to the top presenters. Partial travel bursary will be provided to selected attendees. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Application for the Autumn School is now opened for both in-person and online attendees. The deadline for in-person application is 20th July 2023 and online application is 15th September. For further information, queries, or sponsorship (and its benefits), please do not hesitate to contact Dr Saugat Bhattacharyya (s.bhattacharyya(a)ulster.ac.uk<mailto:s.bhattacharyya@ulster.ac.uk>). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

June 6, 2023

Invitation for Hands-on Tutorial on PyNN at CNS*2023

by CHITARANJAN MAHAPATRA

*Dear all,* *We are delighted to announce that a half-day tutorial titled "Hands-on Tutorial on PyNN: A Simulator-Independent Language for Building Neuronal Network Models" will be held at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference) in Leipzig, Germany. We invite all registered participants to join the tutorial, which will take place on the first day of the meeting, 15 July 2023, just before the main event.* *Computational neuroscientists have developed a diversity of software platforms for simulating neural network models at different scales. However, each simulator has its own programming or configuration language, leading to considerable difficulty in porting models from one simulator to another. A common programming interface to multiple simulators would help to reduce or eliminate the problems of simulator diversity while retaining the benefits. PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently including NEURON, NEST, Brian, and the SpiNNaker and BrainScaleS neuromorphic hardware systems).* *Prerequisites:* *Basic familiarity with the Python programming language* *Useful links:* *Main website: https://ebrains.eu/service/pynn/ <https://ebrains.eu/service/pynn/>* *Documentation: http://neuralensemble.org/docs/PyNN/ <http://neuralensemble.org/docs/PyNN/>* *Download: https://pypi.org/project/PyNN/ <https://pypi.org/project/PyNN/>* *Organizers:* *Chitaranjan Mahapatra (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Shailesh Appukuttan (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Andrew Davison (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Speakers/Instructors:* *Chitaranjan Mahapatra, Speaker (Paris-Saclay Institute of Neuroscience, France)* *Nitin Anisetty, Instructor (Indian Institute of Technology Bombay, India)* *We also invite all tutorial participants to create a free EBRAINS account using an institutional email address. By doing so, you will gain complete access to EBRAINS tools and services.* *Best regards,* *Chitraranjan* ------------------------------------------------------------------------------------------------- Chitaranjan Mohapatra

June 4, 2023

NEST Conference 2023 - registration deadline: 5 June 2023

by Hans Ekkehard Plesser

Dear all, This year's NEST Conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023. You can still register until Monday next week, June 5. More information on the program and how to register can be found on the conference website: https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

June 2, 2023

Spanish Agency of Research (AEI): ATRAE: Seeking Leading Researchers 1 Million Euros/per position

by Serafim Rodrigues

Dear all, The Spanish Agency of Research (AEI) has recently announced a competitive call for the attraction of senior researchers to Spanish institutions. Up to 25 positions. 1M€ per position. Gross salary 80.000 – 90.000 per year, and permanent position after the grant period 3 for 4 years. https://twitter.com/AgEInves/status/1654139691644403723?s=20 https://www.aei.gob.es/convocatorias/buscador-convocatorias/ayudas-incentiv… Conditions: PhD before Jan 1st, 2016 and have been professionally associated with foreign research organisations for at least 5 years in the period between Jan 1st 2016 and the starting date for the submission of applications. The Basque Center for Applied Mathematics (BCAM, Basque Country) would like to take this opportunity to invite leading researchers (for example ERC level candidates) to apply to BCAM. Interested researchers please contact us. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

June 2, 2023

Final call for submissions: CogFeel Workshop at ALIFE 2023 (extended deadline: June 06)

by Jie Mei

*Apologies for cross-posting* We have decided to extend the submission deadline of the CogFeel Workshop from May 26 to June 06. Workshop information: Venue: ALIFE 2023, Sapporo, Japan Submission deadline: June 06 Notification of acceptance: June 13 Workshop date: July 25th, 2023 Title: Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities Website: https://sites.google.com/view/cogfeel-alife-2023/ Workshop organizers: Jie Mei, International Research Center for Neurointelligence, The University of Tokyo Hiroki Kojima, National Center of Neurology and Psychiatry and The University of Tokyo Yuichi Yamashita, National Center of Neurology and Psychiatry Yukie Nagai, International Research Center for Neurointelligence, The University of Tokyo Summary: In recent years, an increasing number of cross-disciplinary approaches have been proposed to deepen our understanding of living systems and their interactive, evolutionary, and adaptive aspects. However, we have not fully achieved the emergence of intelligence and mind in artificial systems. To facilitate discussions on how cognitive capacities of artificial living systems could be improved and potentially propose a framework for exploring the origin, emergence and evolution of perception and emotions, we are organizing a workshop (CogFeel @ ALIFE 2023: https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the 2023 Conference on Artificial Life (ALIFE 2023). We reinforce the role of cognitive feelings (i.e., feelings about one’s mental processes, encompassing senses of knowing, confidence, reality, and fluency, etc.) as an integrated component contributing to developmental individuality and diversity. We also recognize the difficulty in implementing (subjective) feelings in artificial systems which requires the differentiation whether these systems possess feelings or just behave as so. For a comprehensive perspective on how individual- and population-level diversity in cognitive and behavioral capacities emerges, in this workshop, we encourage discussions on methods and findings in disciplines including but not limited to: - Robotics, - Computational and behavioral neuroscience, - Psychology, - Virtual/augmented reality, and - Artificial intelligence, etc. We welcome submissions on topics within the fields of (neuro)robotics, computational and behavioral neuroscience, psychology, virtual/augmented reality, and artificial intelligence. We also encourage contributions from other relevant disciplines. Submissions should be in the form of extended abstracts (maximum 2 pages) or research articles (maximum 8 pages). We are planning to organize a special issue in partnership with a top academic journal where extended versions of selected contributions will be published. Please submit your contribution to cogfeelalife2023(a)gmail.com. We look forward to seeing you at the CogFeel Workshop!

June 2, 2023

PhD / PostDoc position (4 years, 100%) in "ML / DL in Neuroimaging for Psychiatric Research" at Charité - Universitätsmedizin, Berlin

by Kerstin Ritter

Dear all, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)charite.de) and Kerstin Ritter (kerstin.ritter(a)charite.de) _____________________________________________ Looking forward to your applications! Thank you, best wishes, Kerstin (Ritter) _______________________________________________ Prof. Dr. rer. nat. Kerstin Ritter (née Hackmack) Juniorprofessor for Computational Neuroscience Department for Psychiatry and Psychotherapy Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany Charitéplatz 1, 10117 Berlin, Germany kerstin.ritter(a)charite.de

June 1, 2023

Fw: New conference on subcortical sensory circuits, 2023, EMBL, Germany

by Maria Leite

[Apologies if you receive multiple copies of this Call for Participation] Dear colleagues, we invite you to participate in the Conference on Subcortical sensory circuits: visual, auditory, somatosensory, and beyond Date: November 28- December 1, 2023 Location: EMBL ATC, Heidelberg, Germany Conference website: https://www.embl.org/about/info/course-and-conference-office/events/ssc23-0… This conference will focus on different subcortical circuits involving various sensory modalities and revisit their increasingly complex and interconnected contributions to perception, behavior, and cognition. The meeting will take place at EMBL Headquarters in Heidelberg, Germany, and features many exciting speakers such as keynotes Karel Svoboda, Allen Institute, USA and Sabine Kastner, Princeton University, USA. Abstract Submission: Nearly half of the talks will be selected from the submitted abstracts. The submission can be made by visiting the conference website and the deadline is September 5. Registration: The registration for the conference is already open. Financial Support: Financial assistance in the form of fee waivers and travel grants is available.

May 30, 2023

Survey of user experiences in modeling

by Anton Arkhipov

Dear Colleagues, Our NIH BRAIN Initiative-sponsored project (1U24NS124001) is conducting an annual survey of the needs and experiences of users in neuroscience modeling. Would you be so kind to help us by filling out this brief survey? https://www.surveymonkey.com/r/2023NeuralModelingSoftware It will take only 5 minutes, and the results will help guide future development of software and documentation for the community. Whether you use our tools or not, an expert or novice in modeling, we’d love to hear from you! Thank you so much. If you have any questions, please feel free to reach out by email. Best regards, Anton. Anton Arkhipov Investigator E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

May 30, 2023

Postdoc positions in ML/Neuro at Tübingen University

by Jakob Macke

Dear colleagues, We have several openings for Postdoctoral Researchers to work at the intersection of Machine Learning and Computational Neuroscience funded by the ERC Consolidator Grant “DeepCoMechTome: Using deep learning to understand computations in neural circuits with Connectome-constrained Mechanistic Models“. The goal of DeepCoMechTome is to develop simulation-based machine learning tools that will make it possible to build neural network models that are both biologically realistic and computationally powerful. Some relevant prior work can be found in https://www.biorxiv.org/content/10.1101/2023.03.11.532232v1. We are looking for candidates with a strong quantitative background and PhD in a relevant discipline, ideally in computational neuroscience, machine learning or numerical simulation, a genuine interest in collaborative work at the interface of machine learning and neuroscience, and strong programming skills (ideally Python and relevant deep learning frameworks). Our research group (https://www.mackelab.org <https://www.mackelab.org/>) develops methods in machine learning and artificial intelligence to accelerate scientific discovery, with a particular focus on neuroscience. We aim to provide an interdisciplinary, collaborative and supportive work environment which emphasizes diversity and inclusion. We are embedded in Tübingen’s internationally renowned research community in artificial intelligence and computational neuroscience, including the Cyber Valley Initiative, the Tübingen AI Center, the ELLIS initiative, the Excellence Cluster Machine Learning, the Bernstein Center for Computational Neuroscience, the Hertie Institute for AI in Brain Health and dedicated MSc Programs in Machine Learning and Computational Neuroscience. 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 University of Tübingen is committed to equal opportunity, diversity and inclusion. In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and highly encourages female scientists to apply. We also explicitly encourage scientists from outside Germany to apply. Please submit your application materials to mls-jobs(a)inf.uni-tuebingen.de <mailto:mls-jobs@inf.uni-tuebingen.de>, including a CV with publication list, a statement of research interests (max. two pages), contact details of two referees, and a link to a code repository (or work samples). Application deadline is June 20, 2023. Candidates are encouraged to send their application material early, as we will start reviewing applications before the deadline. Initial fixed-term contracts will be for 3 years at level E13 TV-L with possible extensions, starting date is flexible. Part-time positions are possible. Hiring is carried out by the Central Administration. For further details and instructions, see www.mackelab.org/jobs <http://www.mackelab.org/jobs>. Best, Jakob Macke Prof. Dr. Jakob Macke Machine Learning in Science; Cluster of Excellence "Machine Learning”, University of Tübingen Adjunct Senior Research Scientist, Department of Empirical Inference; Max Planck Institute for Intelligent Systems Tübingen Director, Bernstein Center for Computational Neuroscience www.mackelab.org <http://www.mackelab.org/>

May 26, 2023

Fully funded PhD Opportunity: Brain Dynamics and Motor Skill Learning in Surgery - deadline 8 June 2023

by aomurtag

An exciting PhD studentship position available in the Engineering department at Nottingham Trent University, United Kingdom, for highly competitive candidates with excellent qualifications. Application deadline: 8th of June 2023. Project title: Brain Dynamics and Motor Skill Learning in Surgery The project involves the use of EEG and fNIRS recordings from task performing human subjects and Matlab programming and signal analysis in order to discover patterns related to cognitive load and motor skill. For more information: NTU link: https://lnkd.in/gfbiYQRM Find-a-phd link: https://lnkd.in/gQgPrUiE Application instructions: https://lnkd.in/grUFevV5

May 25, 2023

Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters

by Bernstein Communication

Call for Abstracts for the Bernstein Conference 2023 in Berlin - Contributed talks and posters +++ The Bernstein Network Computational Neuroscience invites proposals for Contributed Talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for Contributed Talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/<https://bit.ly/BC_submission> ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de -- Dr. Dorthe Kaufhold Scientific Management and Coordination Bernstein Network Computational Neuroscience | Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg, Germany phone: +49 761 203-9589 mail: bernstein.communication(a)fz-juelich.de<mailto:bernstein.communication@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

May 25, 2023

PhD position - Model-predictive control of brain plasticity for optimal non-invasive brain stimulation

by Caroline Lea-Carnall

We are looking for a PhD student to come and work with us at the University of Manchester. Please get in touch via the link below if you are interested! About the Project Neuroplasticity is the mechanism that underpins the brain’s ability to learn or recover from traumatic events, but also its deterioration underlies several Neurodegenerative diseases and mental illnesses. It is an umbrella term that encompasses multiple processes occurring at different spatial and temporal scales (1, 2). The most commonly discussed type of plasticity is long-term potentiation (LTP) which is defined as an increase in efficacy between synapses of two neurons. Experiments designed to measure LTP are often done in cell slices or cultures using patch-clamp techniques. However, we often want to promote (and measure) plasticity in humans in-vivo but it is not clear how changes in synaptic efficacy manifest in macroscopic non-invasive imaging measurements such as magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), or electroencephalography (EEG) that are available for use in humans. This project aims to link our detailed cellular-level knowledge of plasticity processes with systems-level observations in humans and is focused on answering the following 2 questions: 1. How can we modulate plasticity non-invasively in the brain? 2. How can we measure plasticity in vivo? To answer these questions you will combine mathematical/computational modelling of biophysically realistic large-scale neural networks that exhibit plasticity with cutting-edge neuroimaging techniques to test the model predictions. The model will be adapted so that its output can be compared to the three major imaging techniques described above and you will determine how changes in connectivity between and within brain regions in the model predict changes in our imaging metrics. There will be a particular focus on developing an EEG marker of plasticity as this currently does not exist. Finally, you will test the model predictions in an imaging study combining brain stimulation, EEG, MRI and MRS in a proof-of-concept experiment in humans. This will provide us with a deeper understanding of how to modulate and measure plasticity that can be deployed in the future for medical applications of brain stimulation such as in Parkinson’s disease, depression and pain control. Link to project: https://www.findaphd.com/phds/project/epsrc-dtp-model-predictive-control-of…

May 25, 2023

PhD and postdoc positions to investigate the biophysical basis of neural computation with machine learning

by pedro goncalves

Dear all, Our lab was recently founded at the Neuro-Electronics Flanders (NERF), Belgium. We are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In this context, we are looking for a PhD and a postdoc interested in using computational tools to investigate how the complex biophysics of single neurons gives rise to the dynamics of neural populations. These projects will make use of our previously developed machine learning methods, and depending on the selected candidates' interests, can involve further method development. More details about the positions and the lab can be found at http://jobs.vib.be/j/57438 http://jobs.vib.be/j/57439 Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

May 24, 2023

Information theory workshop at CNS*2023 -- call for contributed talks

by Joseph Lizier

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2023itw> will be held once again at the 32nd Annual Computational Neuroscience Meeting (CNS*2023<http://www.cnsorg.org/cns-2023> conference), in Leipzig, Germany. The workshop will be held during sessions over the final two days of the main conference, July 18 and 19, 2023. Our confirmed speakers so far include the following: * Jürgen Jost, Max Planck Institute for Mathematics in the Sciences, Leipzig * Sarah Marzen, Claremont Colleges, USA * Demian Battaglia, University of Strasbourg * Marilyn Gatica, University of Nottingham * Pedro Mediano, Imperial College London * Nadine Spychala, Univeristy of Sussex * Andreas C. Schneider, Max Planck Institute for Dynamics and Self-Organization, Göttingen * ... more TBA! We would like to <https://abzinger.github.io/202307-CNS2023-ITW.html#call> call for further contributions<https://bit.ly/cns2023itwcall> of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh(a)uni-goettingen.de<mailto:abdullah.alimakkeh@uni-goettingen.de>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2023 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2023itw for more details. We hope you will join us there! Organising Committee: Abdullah Makkeh (co-chair) Michael Wibral (co-chair) Joseph Lizier Pedro Mediano

May 23, 2023

CfP: The 16th International Conference on Brain Informatics (BI'23)

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 24 May 2023: Full Paper Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information

May 22, 2023

Open position: Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, Tuebingen, Germany

by Pavlovic, Maria

Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d) (TVöD-Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Highly skilled in fMRI experiments and data analysis. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org <http://www.lizhaoping.org> ). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by July 31th, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <https://www.lizhaoping.org/jobs.html> https://www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

May 22, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Enrolments for the Modeller's Workshop are now open Master the art of programming differential equations in Matlab with the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Every step of the process is demonstrated in a short video lecture with a practical focus on programming techniques. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

May 21, 2023

Faculty positions (all ranks) in computational neuroscience at Claremont McKenna College

by Ran.Libeskind-Hadas＠claremontmckenna.edu

Claremont McKenna College’s new Kravis Department of Integrated Sciences (KDIS) seeks faculty members in computational neuroscience who are interested in teaching and mentoring undergraduates. CMC is a liberal arts college that places a strong emphasis on creative pedagogies and involving undergraduates in research. The KDIS faculty will contribute to building an innovative and transformational undergraduate science program organized around three challenges: Health (Genomics, Systems Biology, and Health), Brain (Brain, Learning, and Decision Sciences), and Planet (Climate, Energy, and the Environment). The KDIS faculty will have a key role in developing and implementing a program that will serve as an incubator for new approaches and foster a culture of inclusion, creativity, and continuous improvement. For more information on the department, the college, and applying for our positions, please see our posting on Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/24816

May 21, 2023

Postdoc position in computational neuroscience / decision making, CRM Barcelona

by Klaus Wimmer

Post-doctoral Position in Computational Neuroscience Wimmer Lab, Centre de Recerca Matemàtica, Barcelona, Spain We are currently seeking a postdoctoral researcher to join the Computational Neuroscience Group at the Center for Research in Mathematics (CRM) in Barcelona, Spain (https://www.crm.cat/computational-neuroscience/) Under the supervision of Klaus Wimmer, this position offers an exciting opportunity to combine computational modeling, psychophysics, and EEG to study the computational mechanisms underlying flexible evidence integration in perceptual decision making. Candidates should possess a strong computational background, a keen interest in neuroscience, and hold a PhD in computational neuroscience, cognitive neuroscience, physics, mathematics, or a related field. Experience in designing psychophysical experiments, neuroimaging, and/or developing computational models, computational neuroscience and machine learning is required. The successful candidate will benefit from the vibrant scientific environment of Barcelona, particularly in Theoretical and Systems Neuroscience. Our lab is part of a collaborative network of neuroscience research groups in Barcelona (http://www.barccsyn.org) APPLICATION: Interested applicants are encouraged to promptly email kwimmer(a)crm.cat<mailto:kwimmer@crm.cat> with their CV and motivation letter. STARTING DATE: The position is available immediately, and applications will be reviewed on a rolling basis until the position is filled. Best regards, Klaus Wimmer CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

May 19, 2023

Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France

by BACCI Alberto

!!! JOB ALERT !!! Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France A Postdoctoral position is available at the ICM - Paris Brain Institute in the group of Alberto Bacci. The ICM is in the heart of Paris, France, part of the Pitié-Salpétrière Hospital, and has a vibrant, multidisciplinary, and internationally recognized neuroscience community. The Project: Our research mainly focuses on the cellular physiology of various elements of cortical microcircuits, the properties and plasticity of their synaptic connections and their contribution to the generation of various cognition-relevant network activities . Through our collaborators, we also study cortical circuit deficits in several animal model of brain disease. The lab uses a combination of single and multiple-cell electrophysiology, 2-photon imaging and electrophysiology in vivo, pharmacology, anatomy, immunocytochemistry, optical manipulations of specific neuron types and computational approaches (through established collaborations). Check our lab website for details and publications: http://baccilab.org/ The successful candidate will work on inhibitory circuits of the prefrontal cortex of mice. In particular, s/he will study the properties and plasticity of synapses connecting a rich diversity of prefrontal cortical neuron subtypes. The successful candidate will also perform and analyze electrophysiological recordings in vivo, using high-density probes. This project is funded by an ERA-Net NEURON international consortium and is focused on the rich diversity of GABAergic interneurons and how they affect the functional states of prefrontal cortical networks in healthy and diseased states. Your Profile: . Applicants must have a background in neuroscience. They must hold (or are expected to complete soon) a Ph.D. or equivalent degree in biology, medicine, physics or bioengineering. . Excellent verbal and written communication skills in English are required. . Experience with in vivo electrophysiology, imaging and/or computational neuroscience is required. . Coding knowledge is required. Applications must consist of a single pdf file and must be sent to alberto.bacci(a)icm-institute.org (subject line must be: Postdoc Application Bacci; DS) Please include: Curriculum Vitae (CV) 1 page summary of previous research Brief statement of current research interest Contact information of at least two referees Highly motivated candidates are encouraged to apply. Applications will be reviewed until the position is filled. Contact Information: Alberto Bacci, Ph.D. ICM - Institut du Cerveau | Paris Brain Institute Sorbonne Université CNRS UMR 7225 - INSERM U1127 Groupe Hospitalier Pitié Salpêtrière 47 Boulevard de l'Hopital 75013 Paris France phone: +33 1 5727 4062 email: alberto.bacci(a)icm-institute.org http://baccilab.org/

May 19, 2023

Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK

by Volker Steuber

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

May 17, 2023

SPARC FAIR Codeathon August 5-7, 2023: projects submission open

by Elisabetta Iavarone

Dear all, The SPARC Data and Resource Center (DRC) invites you to submit your project ideas for the three-day in-the-cloud SPARC FAIR codeathon occurring later this summer (August 5-7, 2023), with a total prize pool of US$50,000! The DRC is developing key technology to enable not only open sharing of FAIRly produced data, but also surfacing relationships and connections that bridge organs, experimental approaches and other relevant information to bring focus to the peripheral and autonomic nervous system. In this codeathon, we are looking for exciting projects which use SPARC data and/or SPARC tools <https://sparc.science/>and resources in novel ways, particularly in helping to visualize, enhance, demonstrate, or measure the findability, accessibility, interoperability, or reusability (FAIRness) of the data. Visit our website ( https://sparc.science/news-and-events/events/2023sparc-codeathon) for more details and explore examples of previous codeathon projects here <https://sparc.science/resources/software?type=codeathon>. <https://sparc.science/help/2022-sparc-fair-codeathon#fair-codeathon-faqs> This interactive event is open to participants at every skill level (including PIs!) from any country. Right now, we want your ideas for codeathon projects. Please submit your SPARC Codeathon proposals by June 8, 2023 to the submission site <https://forms.gle/JnK4pjoNPxU69WoP7>. The codeathon is free to participate in, participants need only have access to their own computer and reliable internet access. Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

May 17, 2023

Upcoming course from INCF: Introduction to Neuroinformatics

by INCF

Please share this with your networks! Upcoming INCF Short Course: Introduction to Neuroinformatics Location: University of Washington, Seattle, WA, USA Dates: October 2-4 Application deadline: Jun 15 50% discount for INCF members! The course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. The topics covered will range from theoretical background to methodological innovations in the field and their applications, as well as socio-technical issues related to data sharing, applications of neuroinformatics to clinical questions, and compliance with sharing mandates. Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg

May 16, 2023

Workshop: Neural fields equations, from Wilson-Cowan to neural engineering, Paris, June 19-20th 2023

by Antoine

Workshop: Neural fields equations, from Wilson-Cowan to neural engineering Paris, France, June 19-20th 2023 https://nfwparis2023.sciencesconf.org <https://nfwparis2023.sciencesconf.org/> We are pleased to announce the workshop: "Neural fields equations, from Wilson-Cowan to neural engineering" to be held at Laboratoire Jacques-Louis Lions, in the center of Paris, on June 19-20th 2023. An abstract is provided below. Invited speakers: - Stephen Coombes (University of Nottingham, UK) - Romain Veltz (Inria Center of University Côte d'Azur, FR) - Axel Hutt (Inria MIMESIS, FR) - Marcelo Bertalmio (Spanish National Research Council, ES) - Frédéric Chavane (Institute de neurosciences de la Timone, FR) - Alain Destexhe (CNRS-NeuroPSI, FR) - Alessio Franci (University of Liège, BE). Registration is free but mandatory. Few selected talks will be added to the program, based on abstract submission (deadline: June 1st). Workshop abstract: The modeling of collective behavior within a neuronal population, initiated by the pioneering work of Wilson and Cowan, has been a great source of inspiration in the computational neuroscience community. Indeed, the focus on the overall neuronal activity of a brain structure, rather than on the detailed evolution of the electric response of single neurons, allows to adequately model a vast range of brain functions and opens the door to a mathematical understanding of the processes involved. Moreover, the spatio-temporal version of this model, known as neural fields, allows one to consider spatial heterogeneity within a cerebral structure, at the price of more demanding analysis tools. Neural fields have been used in the investigation of a wide range of applications, including the modeling of sensory cortices, cognition, human-robot interaction, self-organizing maps, visual hallucinations, and deep brain stimulation. Despite great advances made on the mathematical understanding of these models, research on these models still progresses in several directions, including: - finer analysis of their behavior in a non-local regime - parameter identification based on experimental data - controllability analysis, e.g., to understand how to affect the dynamics via external stimulation - observability analysis, e.g., to determine the optimal sensor-placement strategy allowing to reconstruct the overall dynamics The aim of this workshop is to gather researchers from different fields (neuroscience, physics, mathematics, control engineering, computer science) to discuss the most recent advances on Wilson-Cowan and neural fields models and instill new collaboration opportunities on this topic. We look forward to seeing you there ! The organizers: Antoine Chaillet, Luca Greco, Dario Prandi

May 16, 2023

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting (CNS*2023)

by Rubchinsky, Leonid L

We are inviting abstracts for the late-breaking poster-only presentations at the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. Late-breaking poster presentation abstracts can be submitted between May 17 and June 15. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

May 14, 2023

PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning

by Grewe Benjamin Friedrich

PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning Location: Institute of Neuroinformatics and ETH AI Center, ETH Zurich, Switzerland Start Date: As early as July 1, 2023 The Grewe lab (www.grewelab.org <http://www.grewelab.org/>) at the Institute of Neuroinformatics (www.ini.uzh.ch <http://www.ini.uzh.ch/en.html>) and the ETH AI Center (ai.ethz.ch) at ETH Zurich invites applications for a PhD or Postdoctoral position in the area of bio-inspired, model-based reinforcement learning. We are particularly interested in candidates who can contribute to our ongoing research endeavors to understand and model the complex and dynamic patterns of neuronal activity inspired by how the brain operates and solves tasks. Research Background: Our lab's research focuses on understanding how the brain alters its internal neuronal activity patterns that encode information across large neuronal ensembles to facilitate learning. We are particularly interested in the mechanisms underlying changes in network information processing related to learning a model of the external world. Given the inherent complexity, unreliability, and multidimensionality of neuronal activity patterns in the brain, this is a challenging endeavor. To better understand learning in the brain we employ in in vivo brain recording methods in mice (eg. mini-scopes) to characterise learning-induced changes in neuronal ensemble activity (RL in mice). Simultaneously, we develop biologically-inspired multi-layer (deep) artificial neuronal network models (ANNs) that mimic the information processing and storage capabilities observed in real biological networks (e.g. to solve an RL problem). We place significant emphasis on reverse-engineering neuronal network function at a very abstract level and on understanding the fundamental principles that determine learning-induced changes in neuronal networks (biological and artificial). Role Description: As a PhD or Postdoctoral fellow, you will be tasked with developing and implementing innovative bio-inspired, model-based reinforcement learning algorithms. Your role will involve close collaboration with a multidisciplinary team of neuroscience and machine learning researchers at the Institute of Neuroinformatics and the ETH AI Center respectively. Key Responsibilities: Design and implement bio-inspired, model-based reinforcement learning algorithms. Conduct/simulate RL experiments and analysis to test and refine these algorithms. Collaborate with a multidisciplinary team to advance our collective research goals. Present research findings at internal and external meetings and conferences. Contribute to the broader academic community through peer review and other service roles. Essential Qualifications: MSc or Ph.D. in Theoretical Neuroscience, Computer Science, Artificial Intelligence, or a closely related field (e.g. Physics). Some background in reinforcement learning, ideally model-based methods. Familiarity with bio-inspired neuronal network approaches to machine learning. Proven track record demonstrated by publications in reputable journals (PD only). Excellent written and verbal communication skills in English. Desirable Qualifications: Experience with computational or theoretical neuroscience and bio-inspired deep learning methods. Proficiency in programming languages commonly used in AI research (e.g., Python, R, Matlab). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Salary: The salary for this position will be in accordance with the standard ETH PhD/postdoc salaries. https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/welcome-cen… Application Process: Interested applicants should submit a detailed CV, a cover letter explaining their interest in the position and contact information for three references to bgrewe(a)ethz.ch ------------------------------------------------------ Benjamin F. Grewe Professor of Systems and Circuits Neuroinformatics Institute of Neuroinformatics UZH/ETH Zurich Dept. of Electrical Engineering and Information Technology, ETH Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Email: Bgrewe(a)ethz.ch

May 12, 2023