- Comp-neuro - lists.cnsorg.org

Post Doc Position Available in ACE Lab
by clap (Service Account) 25 Jan '23

25 Jan '23

A post-doctoral position is available at the Anticipation, Cognition and Emotion lab at the University of Pittsburgh (https://www.ace.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Required Qualifications: a PhD degree in psychology, cognitive neuroscience, or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. Excellent writing skills are a must. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling, and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory in individuals with mood disorders. Responsibilities: A successful candidate will analyze clinical, behavioral, and neuroimaging data, write manuscripts, and present at conferences. This is a 1- to 2-year position. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to Anna Manelis (manelisa(a)upmc.edu<mailto:manelisa@upmc.edu>).

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer 25 Jan '23

25 Jan '23

**Apologies for cross-posting** Dear colleagues, We are looking to hire several new postdocs in the "Developmental Computational Psychiatry" lab and the newly established W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany). The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with clinical psychiatry / psychotherapy background https://devcompsy.org/PostdocClinincalAvH2023.pdf * Postdoc with computational modelling background https://devcompsy.org/PostdocModellingAvH2023.pdf * Postdocs with experimental & neuroimaging (MEG / MRI) background https://devcompsy.org/PostdocNImgERC2023.pdf More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan Eberhard Karls Universität Tübingen & Max Planck Institute for Biological Cybernetics AI Research Building R 20-7/A21 Maria-von-Linden-Str. 6 72076 Tübingen Germany susan.fischer(a)tue.mpg.de ************************************************

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C-BRAINS International PhD Program in Paris, France
by bgutkin 25 Jan '23

25 Jan '23

C-BRAINS International PhD Program in Paris, France Call for applications 2023 Deadline March 3, 2023 C-BRAINS (Cognition and Brain Bevolutions: Artificial Intelligence, Neurogenomics, Society) is a major innovation and research initiative supported by the Ile-de-France Regional Council. It brings together the best of academic research in neuroscience and cognitive science in the Paris region, with more than 200 research teams spread over 17 sites (6 universities and schools of higher education, as well as laboratories affiliated to Inserm, CNRS, CEA and the Pasteur Institute) and more than 40 industrial partners. An international doctoral program is set up by C-BRAINS in 2023, offering students a unique opportunity to develop their scientific projects within the neuroscience and cognitive science research teams of the greater Paris area. The C-BRAINS international PhD program will offer 13 PhD contracts starting in October 2023 for three years, and financial packages of 5 k€ of scientific support and 7 k€ of installation bonus (12 k€ tax-free stipend). C-BRAINS is particularly eager to welcome students from multidisciplinary backgrounds applied to neuroscience and cognitive science, and willing to use their skills and experience in new and exciting projects proposed by our academic and associate partners. Interns will conduct their research at the various partner institutions after choosing from a list of over 70 topics. They will have the opportunity to contact potential supervisors prior to the March 3, 2023 deadline. Research opportunities are available at: https://dim-cbrains.fr/fr/phd-program/dim-cbrains <https://dim-cbrains.fr/fr/phd-program/dim-cbrains> Applicants must have a highly qualified undergraduate degree (or equivalent) and a Master of Science or other Master's degree from a university outside of France. They must not have worked or resided in France for more than 12 months during the 3 years preceding their recruitment by C-BRAINS. For more details on how to apply and the link to our online application form, please visit: https://dim-cbrains.fr/en/platform/login <https://dim-cbrains.fr/en/platform/login> The application will close on Friday, March 3, 2023 at midnight.

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Postdoctoral Fellow in Computational and Statistical Neuroscience NYU School of Medicine
by Chen, Zhe 24 Jan '23

24 Jan '23

Postdoctoral Fellow in Computational and Statistical Neuroscience New York University School of Medicine New York, NY Applications are now being accepted for two postdoctoral fellow positions to develop innovative methods to study the rodent hippocampal-neocortical recordings in rodents and human patients. The applicant will work closely with Dr. Zhe Sage Chen and Professor Gyuri Buzsaki at the New York University School of Medicine, with cross-disciplinary training in computational and systems (experimental) neuroscience. The applicant will have great opportunities to interact with a large and growing neuroscience community at the NYU campus, including the Neuroscience Institute<http://neuroscience.med.nyu.edu/>, Center for Neural Science<http://www.cns.nyu.edu/>, Department of Neuroscience & Physiology<http://neuro-physio.med.nyu.edu/>, and Department of Psychiatry<http://psych.med.nyu.edu/>. This position is available from September 2022, and will be funded by the NIH for 3 years. Applications must have a PhD degree in Neuroscience, Engineering (Biomedical or Electrical), Statistics, Physics, or a related discipline. The desired applicant is expected to be highly motivated and work independently as well as cooperatively with other colleagues in the research projects. Ability to learn new techniques and resolve new research challenges is essential. Previous training in some areas, such as neural data analysis, machine learning, computational neuronal modeling, computer programming (MATLAB/Python) is preferred. To apply, please send an email along with (i) curriculum vitate; (ii) a cover letter describing research accomplishments and interests; (iii) the names and contact information of two to three references to: Dr. Zhe Sage Chen (zhe.chen(a)nyulangone.org<mailto:zhe.chen@nyulangone.org?subject=Application>) with a subject line “Postdoc application”.

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Postdoc position in Computational Neuroscience
by Andrea Alamia 24 Jan '23

24 Jan '23

We are looking for a post-doc to work with us at the Centre de Recherche de Cerveau et Cognition (CerCo) in Toulouse, France. The project will be led by Andrea Alamia and funded by the European Research Council (ERC). Work environment The successful applicant will join the Centre de Recherche de Cerveau et Cognition (CerCo) in a lively research institute in Toulouse, a thriving Southern France city. CerCo is a research center created by the National Center for Scientific Research (CNRS) and the University Paul Sabatier, composed of over 30 research scientists and around 40 doctoral and post-doctoral students. The applicant will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS, and fMRI, as well as computational resources (clusters and local GPUs). The project The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions. Requirements · Applicants should hold a PhD in computational neuroscience, computer science, engineering, cognitive science, or similar. · Ability to work independently, developing ideas and interests within the project's scope. · A solid mathematical background and excellent computing skills, including programming (e.g., MATLAB, Python). Experience with system theory, models of cortical circuits, and knowledge of neural oscillations are not strictly necessary but highly appreciated. · Fluent in English in both speaking and writing. No knowledge of French is required. The position will run for one year and is renewable for up to 3 years; its starting date is flexible (between March and October 2023). Salary depends on experience and will be determined following CNRS guidelines. To apply, please send a CV, including the name of two potential references, and a summary of research interests to Andrea Alamia (andrea.alamia at cnrs.fr). Review of applications will remain ongoing until the position is filled.

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Senior Research Associate (post-doc) position working on spiking neural networks
by Jeffrey Bowers 24 Jan '23

24 Jan '23

Deadline extended for Senior Research Associate (post-doc) working on EPSRC New Horizons project entitled "Exploring the multiple loci of learning and computation in simple artificial neural networks". The project assesses the adaptive value of learning outside of synapses in spiking networks. Position based in Bristol working with Jeffrey Bowers (https://jeffbowers.blogs.bristol.ac.uk/publications/psycho-neuro/) and Benjamin Evans (https://profiles.sussex.ac.uk/p555479-benjamin-evans) Daniel Goodman (https://www.imperial.ac.uk/people/d.goodman) will also be collaborating on the project. Based at University of Bristol, UK. Deadline for applying Feb 17th. For more details see: https://www.jobs.ac.uk/job/CWV563/senior-research-associate Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/

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Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses at OIST
by Erik De Schutter 24 Jan '23

24 Jan '23

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp <https://www.oist.jp/>), Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu <https://groups.oist.jp/cnu>). We are hiring two more postdoctoral fellows to support this effort. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses (https://www.youtube.com/watch?v=KpaIVOMi_tA) using our STEPS software (http://steps.sourceforge.net <http://steps.sourceforge.net/>). The research project depends on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. Access to OIST high performance computing cluster. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp <mailto:erik@oist.jp>) for inquiries.

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Deadline approaching for Okinawa/OIST Computational Neuroscience Course 2023
by Erik De Schutter 24 Jan '23

24 Jan '23

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

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3 PhD positions at the University of Bern
by jeanpascal.pfister＠unibe.ch 20 Jan '23

20 Jan '23

Applications are invited for three PhD student positions at the University of Bern. The positions are funded by a grant from the Swiss National Science Foundation which is entitled “Why Spikes?”. This project aims at answering an almost 100 year old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels. The PhD students and post-doc will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The PhD candidates (resp. post-doc candidate) should hold a Master (resp. PhD) degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>). ThThe position is offered for a period of three years and can be extended. Deadline for application is the 31st of January 2023 or until the position is filled. Salary scale is provided by the Swiss National Science Foundation. (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch> URL: http://www.physio.unibe.ch/~pfister/

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Ikerbasque Research Fellow 2023 call
by Serafim Rodrigues 19 Jan '23

19 Jan '23

Dear All *ikerbasque, * the Basque Foundation for Science, would like to inform you that they have launched *a new international call* to reinforce research and scientific career in the Basque Country: *20 positions for experienced postdoctoral researchers* *Ikerbasque Research Fellows* - 5-year contracts, during the last year the researcher can be assessed to obtain a permanent contract - An initial moving allowance of up to 4,000 € is provided for international moves. - A start-up funding of 10,000 € is provided for the initial research costs. - PhD degree between Jan 2012-Dec 2020 - A support letter from BCAM is mandatory - Applications from women are especially welcomed - Deadline: March 15th, 2023 at 13:00 CET The procedure for the pre-selection of the BCAM (Basque Center for Applied Mathematics) candidates will be as follows: - *Potential candidates interested in Mathematical, Computational and Experimental Neuroscience* - Please send email to Serafim Rodrigues <srodrigues(a)bcamath.org> - Please send before *Feb 14th 2023, * the following information: - *Updated CV* to the Serafim Rodrigues <srodrigues(a)bcamath.org> and recruitment(a)bcamath.org - *Two reference letters*. The reference letters shall be submitted directly by the referees to recruitment(a)bcamath.org - The BCAM Selection Committee will pre-select the candidates and will have an *interview with them *around *Feb 15th – 28th, 2023*. - After that, The BCAM Selection Committee will select the BCAM candidacies in this call by the end of February and will prepare the BCAM support letter for the selected candidates. For further information, please visit *calls.ikerbasque.net* <http://ikerbasque.mailrelay-iv.es/newslink/753570/22.html>*, *or contact us recruitment(a)bcamath.org -- 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)*

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ICANN 2023 - Call for Papers, Special Sessions & Workshops
by Sebastian Otte 19 Jan '23

19 Jan '23

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2023 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. CALL FOR SPECIAL SESSIONS AND WORKSHOPS ICANN 2023 organizers cordially invite internationally recognized experts to organize Special Sessions and Workshops within the general scope of the conference. Please submit your Workshop / Special Session proposal by the deadline (see SUBMISSION DEADLINES) to ICANN 2023 organizing board by email at liliadis AT civil.duth.gr (Prof. Lazaros Iliadis, ICANN 2023 General co-Chair) CALL FOR PAPERS Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the program and is totally independent of the category of submission. SUBMISSION DEADLINES - Special session and workshop proposal submission: Feb. 28, 2023 - Full paper and extended abstract submission: Apr. 9, 2023 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Deadline CFP: FLAIRS-36, Neural Networks and Data Mining Special Track, Clearwater Beach, Fl, May 14-17, 2023
by David B 18 Jan '23

18 Jan '23

FLAIRS-36 Clearwater Beach, Florida, USA, May 14-17, 2023 Neural Networks and Data Mining Special Track Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notifications: March 13, 2023 Camera ready version due: April 10, 2023 The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Graph modeling, pattern discovery, and anomaly detection. 5. Feature extraction and selection. 6. Post-processing techniques such as visualization, summarization, or trending. 7. Preprocessing and data reduction. 8. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or tool suites, such as TensorFlow, PyTorch, Mahout, or Apache Spark, are also encouraged. Submission Guidelines Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-36.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. Conference Proceedings Papers will be refereed and all accepted papers will appear in the conference proceedings. Program committee: Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Program Committee Members: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (Verizon Business Solutions, USA) Sergei Dolenko (D.V.Skobeltsyn Inst of Nuc Phys, M.V.Lomonosov Moscow St Univ) Yoni Fridman (Verizon Business Solutions, USA) Olac Fuentes (University of Texas at El Paso, USA) Hyoil Han (Marshall University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Prabin Lamichhane (Mastercard, USA) Lenin Mookiah (eBay, USA) Ramesh Paudel (George Washington University, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Further Information Questions regarding the Data Mining Special Track should be addressed to the track co-chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Invited Speakers To be announced Conference Web Sites Paper submission site: https://www.flairs-36.info/submissions FLAIRS-36 conference web page: https://www.flairs-36.info/ Florida AI Research Society (FLAIRS): https://www.flairs.com

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Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 25.01.23
by Graduate Programs 18 Jan '23

18 Jan '23

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience next Wednesday, January 25th, at 3pm (CET). Attendees are welcome to join in person at the BCCN Berlin or virtually via Zoom. The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2023-international-g…> for a more detailed schedule and registration link. Best regards, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator of the SFB1315 & BCCN Berlin Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Mondays - Thursdays

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Update- Women in Memory Research 2023
by Vinita Samarasinghe 18 Jan '23

18 Jan '23

An updated version of our WiMR 2023 program: The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2023 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 <https://for2812.rub.de/gem2023/> where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Program:* 12.06.2023 AM Welcome to Bochum PM GEM 2023 13.06.2023 GEM 2023 14.06.2023 AM GEM 2023 PM Fireside chat with senior memory researchers 15.06.2023 AM Lab visits PM Funding and support structures 16.06.2023 Close up meetings (optional) *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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Postdoc/PhD for in silico reconstruction of neural tissue
by Mario Negrello 16 Jan '23

16 Jan '23

We are looking for one outstanding Postdoc or PhD to conduct computational neuroscience research in the neurocomputing lab in Rotterdam, The Netherlands (www.neurocomputinglab.com) In addition to a solid foundation in neurobiology (neurons and networks), and biophysics (Hodgkin-Huxley models and ion channel mechanisms), the candidate is expected to feel comfortable with applied mathematics and physics, and to have a penchant for the data sciences (under the many guises of supervised and unsupervised learning). The goal of the project is to engineer data-assimilation pipelines for efficient reconstruction of models of neuronal tissue (“Digital twin” factory). These will be used to produce predictions about disease pathways and the effect of pharmacology on neuronal dynamics. More details about the posting can be found here <https://docs.google.com/document/d/1eEAnb1zJaswbgpdsAK9p2-NZRGn40B-MlssHOM6…>. Interested candidates should contact Dr. Mario Negrello (m.negrello(a)erasmusmc.nl) Please include DIGITALTWIN and the position you are applying for (PhD or Postdoc) in the email subject.

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Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition)
by Viola Priesemann 16 Jan '23

16 Jan '23

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (7th edition) Villa del Grumello, Como, Italy, May 22-26, 2023 ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Organized by Fondazione Alessandro Volta Lake Como School of Advanced Studies *** DEADLINE FOR APPLICATION: February 26, 2023 (firm deadline) *** Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline---including sociology, transportation, economics and finance, biology, and myriad others---and the study of "network science" has thus become a crucial component of modern scientific education. The school "Complex Networks: Theory, Methods, and Applications" offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields. LECTURERS --- ELSA ARCAUTE, University College London --- SHWETA BANSAL, Georgetown University --- PETER DODDS, University of Vermont --- NEAVE O'CLERY, University College London --- VIOLA PRIESEMANN, Max Planck Institute for Dynamics and Self-Organization --- CLARA STEGEHUIS, Twente University ORGANIZING COMMITTEE STEFANO BATTISTON, University of Zurich --- GINESTRA BIANCONI, Queen Mary University of London --- VITTORIA COLIZZA, INSERM and Sorbonne Université, Paris --- JAMES GLEESON, University of Limerick --- PETTER HOLME, Tokio Institute of Technology --- YAMIR MORENO, University of Zaragoza --- CARLO PICCARDI, Politecnico di Milano --- MASON A. PORTER, UCLA PROGRAM Monday, 22 May, morning - Introduction to complex networks (Dodds) Monday, 22 May, afternoon - Network motifs (Stegehuis) Tuesday, 23 May, morning - Ousiometrics and Telegnomics: Distant and computational measurement of essential meaning, history, and stories (Dodds) Tuesday, 23 May, afternoon - no lectures Wednesday, 24 May, morning - Spreading dynamics I (Bansal) Wednesday, 24 May, afternoon - Spreading dynamics II (Priesemann) Thursday, 25 May, morning - short talks by students Thursday, 25 May, afternoon - no lectures Friday, 26 May, morning - Inter-industry labour flow networks (O’Clery) Friday, 26 May, afternoon - Urban complex systems (Arcaute) For information and application: ntmg.lakecomoschool.org <http://ml.sicc-it.org/mylist/lt.php?tid=LB8FVgQHVwNeVk4FClcFGwUKVVMaV1UDABR…> Sponsored by SICC - Italian Society for Chaos and Complexity -- This message was sent to viola.priesemann(a)ds.mpg.de by info(a)ml.sicc-it.org. To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page <http://ml.sicc-it.org/mylist/lt.php?tid=LB9VBgAFVQRVWE5cUFIHGwVbXgcaDAMIUBQ…> in our newsletter system. To change your details and to choose which lists to be subscribed to, visit your personal preferences page <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GV1VaUFRXVE5VCgRWGwULX1QaVAMBUxR…>. Or you can opt-out completely <http://ml.sicc-it.org/mylist/lt.php?tid=LB8GAwRUVFIFVU4GAFACGwUAUFEaVwZWCRQ…> from all future mailings. powered by phpList 3.6.10, © phpList ltd <http://ml.sicc-it.org/mylist/lt.php?tid=LB9XUARUV1NVBU5UC1YLGwUBUQMaDAhTVxQ…>

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PhD position 'Big Sleep Data'
by Martin Dresler 15 Jan '23

15 Jan '23

Hi, We are looking for a PhD candidate (or junior postdoc) combining data science/AI, wearable EEG technology, and big sleep data at the Donders Institute in Nijmegen, NL. The project will focus on (i) developing a database for large datasets of neurophysiological sleep recordings together with multimodal analysis strategies/pipelines, and (ii) integration/fusion of neurophysiological data from different sensors with non-physiological data and annotations. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network "Lullabyte", working on the intersection of computer science, sleep research, and musicology; and the Donders Sleep & Memory Lab, working on the cognitive neuroscience of sleep and dreaming. Starting data is somewhat flexible within 2023, further info: https://dreslerlab.org/lullabyte Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Event Information: Human Brain Project Summit 2023 in Marseille
by HBP Education 13 Jan '23

13 Jan '23

Dear Sir or Madam, I hope this e-mail finds you well. From 28 March to 31 March 2023 the last Human Brain Project Summit will take place in Marseille, France. Therefore, I am asking you to please share the following event information with your network and add it to your list of upcoming events: Join us in Marseille from 28-31 March for the Human Brain Project Summit 2023! The Human Brain Project Summit provides an open forum for hundreds of researchers, plus policy makers, media and public, to discuss exciting scientific results, the latest developments in the project, and the cutting-edge services and tools available on the EBRAINS Research Infrastructure. The event will highlight the excellent achievements of the HBP at the point when the ten-year Flagship project approaches its conclusion (in September 2023) and the legacy that it will leave for the brain research community. Register for the event here: https://summit2023.humanbrainproject.eu/registration/ <https://summit2023.humanbrainproject.eu/registration/> Would you like to present your research at the Summit? Make sure to submit your poster abstract! Two winners will have the opportunity to present their research to the audience in a 10-minute plenary talk. Submit your abstract here before 2 February: https://summit2023.humanbrainproject.eu/abstracts/ <https://summit2023.humanbrainproject.eu/abstracts/> Should you have any questions or require further information, please don’t hesitate to reach out to us. Thank you for your help. Best regards, HBP Summit Committee

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NeuroDataShare 2023 workshop and hackathon - Sainsbury Wellcome Centre London, Feb 20-23
by Padraig Gleeson 12 Jan '23

12 Jan '23

(Apologies for cross posting) * * *NeuroDataShare 2023: Exploring and sharing multi-scale neuroscience data* Sainsbury Wellcome Centre, London, UK http://www.neurodatashare.org Modern experimental neuroscience is producing huge amounts of data at a rapidly increasing pace, with population recordings using multielectrode arrays and imaging and simultaneous behavioural data together with transcriptomics and anatomical reconstructions. While these data are useful to those who obtain them in the original studies, their value is magnified when they are shared in accessible formats with the wider community for use in new studies, and to investigate brain function from different perspectives. To facilitate this, many groups are developing tools, standardised languages and databases to help specify, analyse, visualise and share such data sets. *This meeting will bring together experimentalists, those offering infrastructure solutions for sharing data in neuroscience and those who wish to reuse, reanalyse and gain new insight into publicly available datasets.* The meeting will consist of a *2 day workshop of scientific presentations <http://www.neurodatashare.org/programme.html> (Mon 20th & Tues 21st Feb 2023)* at the Sainsbury Wellcome Centre <http://www.neurodatashare.org/directions> from leading neuroscientists who are generating data of different types across multiple scales, who are faced with issues of how to disseminate their output to other researchers. Scientific talks will be complemented by presentations from those developing the infrastructure to standardise and share data, and there will be discussions on the challenges and opportunities of greater data sharing in neuroscience. The second part of the meeting will be a smaller, more focussed *2 day hackathon <http://www.neurodatashare.org/hackathon.html> (Wed 22nd & Thus 23rd Feb 2023)* where PhD students, postdocs and PIs will get hands on demonstrations to get their data into standardised formats, including Neurodata Without Borders <https://www.nwb.org/>, as well as help with sharing the data on the Open Source Brain platform <https://www.v2.opensourcebrain.org/>. We look forward to welcoming you to London! NeuroDataShare organisers Padraig Gleeson, Angus Silver and Isaac Bianco.

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Postdoc position with Priebe/Seidemann/Taillefumier labs at University of Texas, Austin
by Taillefumier, Thibaud O 10 Jan '23

10 Jan '23

The Departments of Neuroscience, Mathematics, and Psychology at UT Austin are inviting applications for a postdoctoral research position to work with Professors Nicholas Priebe, Eyal Seidemann and Thibaud Taillefumier. The position is funded by an NIH grant shared by the Priebe, Seidemann and Taillefumier labs. The grant focuses on explaining the origin and putative roles of the neural variability recorded in visual cortex during behavior. A significant component of the proposed work will consist of modeling and statistical analysis of simultaneous recordings of single-cell membrane potential and extracellular neural populations during a variety of behavioral tasks. Competitive candidates include those with a strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Applicants should have a PhD in computational neuroscience, system neuroscience, machine learning, or related quantitative fields. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests, and should arrange for two or three letters of recommendation to be sent. All application materials as well as any inquiries should be sent to Thibaud Taillefumier (thibaud(a)utexas.edu<mailto:thibaud@utexas.edu>), Eyal Seidemann (eyal(a)austin.utexas.edu<mailto:eyal@austin.utexas.edu>), or Nicholas Priebe (nico(a)austin.utexas.edu<mailto:nico@austin.utexas.edu>). The successful candidate will join a highly dynamic collaborative environment across the departments of Neuroscience, Mathematics, and Psychology and within the Center for Computational and Theoretical Neuroscience, all at UT Austin. Within this environment, the collaboration between the Priebe, Seidemann and Taillefumier research groups combines experimental, computational, and theoretical approaches to understand the neural basis for vision processing in the brain. UT Austin is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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Postdoc/PhD opening in information processing and criticality in neural networks
by Fabrizio LOMBARDI 10 Jan '23

10 Jan '23

We are recruiting a talented postdoctoral researcher or PhD student to participate in the project BRAINCIP, “Brain-wide criticality and Information processing”. The project lies at the interface of physics and neuroscience, and aims to test key assumptions of the critical brain hypothesis by investigating in vivo the role of brain-wide critical neural dynamics in information processing and complex brain functions in the Zebrafish. To this end, state-of-the-art experimental techniques to follow and finely perturb brain dynamics will be combined with theoretical and computational approaches to large scale data analysis and modeling. The ideal candidate will have a quantitative background—e.g. PhD/Master in mathematics, physics, computer science—, and strong programming skills (e.g., Python, C/C++, Matlab), along with (preferable but not mandatory) experience in applying this background to neuroscience. Experience with data analysis is a plus, but it is not mandatory. The post doc will join the Department of Biomedical Sciences and the Padova Neuroscience Center and live in highly active and stimulating interdisciplinary environment at the University of Padova, one of the most prestigious universities in Italy. The position is open immediately with primary location in Padova, a nice small university town near Venice. Ideally, the starting date is between February-June 2023. Interested candidates should contact Dr. Fabrizio Lombardi (fabrizio.lombardi(a)ist.ac.at<mailto:fabrizio.lombardi@ist.ac.at>) and Prof. Marco Dal Maschio (marco.dalmaschio(a)unipd.it<mailto:marco.dalmaschio@unipd.it>). Please include BRAINCIP and the position you are applying for (PhD or Postdoc) in the email subject.

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Call for applications for training and mentoring cohort in open science (OLS-7) [corrected]
by Mayya Sundukova 09 Jan '23

09 Jan '23

Dear Comp-Neuro colleagues, The OLS-7 program run by Open Life Science is open for applications. Open Life Science is a non-profit organisation, registered in UK and providing structured global training, consulting and mentoring and community of practice. *Purpose*: Training for early stage researchers and young leaders interested in furthering their Open Science skills. Not limited to Life science and science. Community projects are very welcomed as well. *Process*: A 16-week mentoring & training program, based on the Mozilla Open Leader program, helping participants in becoming Open Science ambassadors by using three principles: - Sharing essential knowledge required to create, lead, and sustain an Open Science project. - Connecting members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - Empowering them to become effective Open Science ambassadors in their communities. ** Program is free, but requires registration in Openreview and application (simple one!) with a project where you would like to apply open skills ** You can check the recording of the application launch call from December 10th on Open Life Science youtube channel: https://youtu.be/shM2mVyLjxU And feel free to pop by on January 11th at the Application Clinic (Q&A) call. Registration and details: https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-506693121… More information: https://openlifesci.org/ols-7 Deadline is on the January 15th, and could be slightly extended. Feel free to reach out to the Open Life Science team at team(a)openlifesci.org Twitter: https://twitter.com/openlifesci Linkedin: https://www.linkedin.com/company/openlifesci/ Best, Mayya Sundukova, PhD in Neuroscience Resident Fellow at Open Life Science >

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Apply for Okinawa/OIST Computational Neuroscience Course 2023 till end of the month
by Erik De Schutter 09 Jan '23

09 Jan '23

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc> The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc <https://groups.oist.jp/ocnc>) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Upinder Bhalla (NCBS, India) • Claudia Clopath (Imperial College London, UK) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Tomoki Fukai (OIST) • Izumi Fukunaga (OIST) • Yukiko Goda (OIST) • Mike Häusser (University College London, UK) • Bernd Kuhn (OIST) • Jinny Kim (KIST, South Korea) • Rosalyn Moran (King's College London, UK) • Steve Prescott (University of Toronto, Canada) • Sam Reiter (OIST) • Greg Stephens (OIST) • Kazumasa Tanaka (OIST)

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Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tuebingen, Germany
by Li Zhaoping 08 Jan '23

08 Jan '23

*Systems Vision Science Summer school & Symposium, Aug. 14-24, in Tübingen, Germany* *--------------------------------* Applications are invited for a brand new summer school designed foreveryone interested in gaining a systems level understanding ofbiological vision. We plan a coherent, graduate-level, syllabus on theintegration of experimental data with theory and models, featuringlectures, guided exercises and discussion sessions. The summer schoolwill end with a Systems Vision Science symposium on frontier topics,with talks and posters by additional participants. All summer school participants are invited to attend the symposium, and are welcome to submit contributions. *--------------------------------* ***Invited lecturers and speakers 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. *******--------------------------------* Please apply**via_https://summerschool.lizhaoping.org/application_<https://summerschool.lizhaoping.org/application/>* by**** March 31, 2023.* Please check out our webpage_https://summerschool.lizhaoping.org_<https://summerschool.lizhaoping.org>to find more out about the program, our invited lecturers/speakers,and other details. 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_*<https://www.kyb.tuebingen.mpg.de/en>**** *__**_University of Tuebingen_*<https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/>**** *__**_www.lizhaoping.org_* <http://www.lizhaoping.org>

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ANNOUNCEMENT: comp-neuro has moved to new host
by Erik De Schutter 07 Jan '23

07 Jan '23

Dear comp-neuro subscriber, I am glad to announce that the comp-neuro mailing list has moved to a new home. This was necessary because the previous set-up became increasingly hard to maintain since I left the University of Antwerp. As a consequence it became difficult for aspirant members to subscribe and mails were sometimes delayed. The mailing list has now moved to a cloud based home and runs a more recent version of the software. I expect this will provide a stable solution with a better service. Appropriately, it is now managed by the Organization for Computational Neurosciences. Please encourage your colleagues, collaborators, students, etc who are not member yet to subscribe to comp-neuro, now that the website works again. From now on please use: - Email to post to mailing list: comp-neuro(a)lists.cnsorg.org - Email to contact admin/moderators: comp-neuro-owner(a)lists.cnsorg.org - Webpage of mailing list (to subscribe / unsubscribe / view archives): https://www.cnsorg.org/comp-neuro-mailing-list Erik De Schutter Okinawa Institute of Science and Technology

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