December 2023 - Comp-neuro - lists.cnsorg.org

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L June 11, 2025

June 11, 2025

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 ***********************

2 9

Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina Dec. 16, 2024

Dec. 16, 2024

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

2 1

Python Package: SER model
by Fabrizio Damicelli Aug. 8, 2024

Aug. 8, 2024

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

1 2

Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK)
by Mark Humphries April 22, 2024

April 22, 2024

A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Please send all queries to Silvia (silvia.maggi(a)nottingham.ac.uk) or Mark (mark.humphries(a)nottingham.ac.uk) Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci… Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

1 1

Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber April 2, 2024

April 2, 2024

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>

1 2

Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. March 11, 2024

March 11, 2024

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

2 4

Postdoctoral Researcher in Computational Neuroscience: Effects of Neuromodulation on Learning in SRNNs
by Fleur Zeldenrust Feb. 5, 2024

Feb. 5, 2024

*The 'Biophysics of Neural Computation' group in Nijmegen (PI: dr. Fleur Zeldenrust) is looking for a postdoctoral researcher (26 months) to study the effects of neuromodulators in biologically realistic networks and learning tasks in the Vidi project 'Top-down neuromodulation and bottom-up network computation, a computational study'. You will use cellular and behavioural data gathered by our department over the previous five years on dopamine, acetylcholine and serotonin in mouse barrel cortex, to bridge the gap between single cell, network and behavioural effects.* The aim of this project is to explain the effects of neuromodulation on task performance in biologically realistic spiking recurrent neural networks (SRNNs). You will use biologically realistic learning frameworks, such as force learning, to study how network structure influences task performance. You will use existing open source data to train a SRNN on a pole detection task <https://linkinghub.elsevier.com/retrieve/pii/S0896627315002512> (for rodents using their whiskers) and incorporate realistic network properties of the (barrel) cortex based on our *lab's measurements <https://link.springer.com/article/10.1007/s12021-022-09576-5>*. Next, you will incorporate the cellular effects of dopamine, acetylcholine and serotonin that we have measured (see *this paper <https://doi.org/10.1093/gigascience/giy147>* and *this preprint <https://www.biorxiv.org/content/10.1101/2022.01.12.476007v1>*) into the network, and investigate their effects on task performance. In particular, you will research the effects of biologically realistic network properties (balance between excitation and inhibition and the resulting chaotic activity, non-linear neuronal input-output relations, patterns in connectivity, Dale's law) and incorporate known neuron and network effects. You will build on the single cell data, network models and analysis methods available in our group, and your results will be incorporated into our group's further research to develop and validate efficient coding models of (somatosensory) perception. We are therefore looking for a team player who can collaborate well with the other group members, and is willing to both learn from them and share their knowledge. *Your profile:* Profile - You hold a PhD in computational neuroscience, mathematics, physics, computer science, AI or a similar computational field. - You have experience in working with machine learning models in (computational) neuroscience and are able to perform network simulations, analytical derivations and advanced data analysis. - You are a highly motivated, independent, critical and creative researcher who wants to bridge the gap between real data and abstract theoretical models. - You are a team player, ready to collaborate in a diverse multidisciplinary research group. - You have an excellent command of spoken and written English. - You have experience in coding (Python and/or Matlab). We are *Our profile:* You will be appointed at the *Biophysics of Neural Computation <https://www.ru.nl/donders/research/theme-4-neural-computation-neurotechnolo…>* group, *Donders Centre for Neuroscience <https://www.ru.nl/science/dcn/>*, *Donders Institute for Brain, Cognition and Behaviour <https://www.ru.nl/donders/>*. <https://www.ru.nl/donders/> This vibrant and multidisciplinary institute studies the organisation and function of neural circuits across scales and techniques, from genes and proteins to behaviour and from in vitro and in vivo experiments to computational modelling. It is an open and international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. Postdoctoral researchers enjoy a *lively community <https://www.ru.nl/donders/talent-education/postdoctoral-researchers/>* and specialised support. *We offer:* We offer - It concerns an employment for 0.8 - 1.0 FTE. - The gross monthly salary amounts to a minimum of €3,226 and a maximum of €5,090 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (*salary scale 10 <https://www.ru.nl/en/staff/services/salary-and-selection-model/salary/amoun…>* ). - You will receive 8% holiday allowance and 8.3% end-of-year bonus. - You will be employed on the basis of a temporary contract for 26 months. - You will be able to use our *Dual Career and Family Care Services <https://www.ru.nl/en/staff/services/living-working-and-studying-netherlands…>*. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. - Working for us means getting extra days off. In case of full-time employment, you can choose *between 30 or 41 <https://www.ru.nl/en/staff/services/employment-conditions/working-time/flex…>* <https://www.ru.nl/en/staff/services/employment-conditions/working-time/flex…>days of annual leave instead of the legally allotted 20. *Please, apply via the website before February 11th: * https://www.ru.nl/en/working-at/job-opportunities/postdoctoral-researcher-i… Profil -- Fleur Zeldenrust Associate Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

1 1

Announcing Okinawa/OIST Computational Neuroscience Course 2024 (OCNC 2024)
by Erik De Schutter Jan. 24, 2024

Jan. 24, 2024

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2024 Methods, Neurons, Networks and Behaviors June 17 to July 4, 2024 Okinawa Institute of Science and Technology Graduate University, Japan 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 17th through July 4th, 2024 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) only; January 1 - January 31, 2024. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 19th 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. 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. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Izumi Fukunaga (OIST) N. Alex Cayco Gajic (École Normale Supérieure, Paris, France) Yukiko Goda (OIST) Arvind Kumar (KTH, Stockholm, Sweden) Bernd Kuhn (OIST) Matthew Larkum (Humboldt University, Berlin, Germany) Hakwan Lau (RIKEN CBS, Tokyo, Japan) Sukbin Lim (NYU Shangai, China) Gerald Pao (OIST) Thomas Parr (Oxford University, UK) Sam Reiter (OIST) Kazumasa Tanaka (OIST)

1 2

CFP: IEEE WCCI 2024
by Junichiro Yoshimoto Jan. 12, 2024

Jan. 12, 2024

-- Apologies in advance for multiple postings — IEEE WCCI 2024 Call for Papers June 30 - July 5, 2024 @ Yokohama, Japan https://2024.ieeewcci.org SCOPE IEEE WCCI 2024 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS) under one roof: The International Joint Conference on Neural Networks (IJCNN), the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and the IEEE Congress on Evolutionary Computation (IEEE CEC). IJCNN 2024: The International Joint Conference on Neural Networks (IJCNN) covers a wide range of topics in the field of neural networks, from biological neural networks to artificial neural computation. IEEE CEC 2024 The IEEE Congress on Evolutionary Computation (IEEE CEC) covers all topics in evolutionary computation from theory to real-world applications. FUZZ-IEEE 2024 The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) covers all topics in fuzzy systems from theory to real-world applications. IMPORTANT DATES - 15 January 2024: Paper Submission Deadline - 15 March 2024: Paper Acceptance Notification - 1 May 2024: Final Paper Submission & Early Registration Deadline - 30 June - 5 July 2024: IEEE WCCI 2024 Yokohama, Japan PAPER SUBMISSION Please read the paper submission guidelines (https://2024.ieeewcci.org/submission) before submitting your papers. * Each paper should not reveal author's identities (double-blind review process). * Papers will be checked for plagiarism. The Program Committee reserves the right to desk-reject a paper if it contains elements that are suspected to be plagiarized. * Submissions should be original and not currently under review at another venue. * Each paper is limited to 8 pages, including figures, tables, and references. A maximum of two extra pages per paper is allowed (i.e, up to 10 pages), at an additional charge of $100 per extra page. * All papers must be submitted through the IEEE WCCI 2024 online submission system. * For special session papers, please select the respective special session title under the list of research topics in the submission system. * In order for your papers to be included in the congress program and in the proceedings, final accepted papers must be submitted, and the corresponding registration fees must be paid by May 1, 2024 (11:59 PM Anywhere on Earth). * IEEE WCCI 2024 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2024, FUZZ-IEEE 2024, IEEE CEC 2024). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize. * It is the policy of WCCI 2024 that new authors cannot be added at the time of submitting final camera ready papers. Please ensure that you are following this guideline to avoid any issues with publication. If you encounter any problems with the submission of your papers, please contact the WCCI 2024 Paper Submission Chairs. PAPER SUBMISSION SYSTEM WCCI 2024 adopts EDAS as the submission system, available at the following link: https://edas.info/N31614

1 1

CfP Social Interaction for Human and Virtual Agents
by Treur, J. (Jan) Dec. 29, 2023

Dec. 29, 2023

SIHVA 2024: Computational Modeling of Social Interaction for Human and Virtual Agents Special Session at the 16th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2024) 15-18 April 2024, Ras Al Khaimah, UAE Website: https://aciids.pwr.edu.pl/2024/session.php?acronym=SIHVA Organizers Sophie C.F. Hendrikse University of Amsterdam, Psychological Methods Group E-mail: s.c.f.hendrikse(a)uva.nl<mailto:s.c.f.hendrikse@uva.nl> Jan Treur Vrije Universiteit Amsterdam, Social AI Group E-mail: j.treur(a)vu.nl<mailto:j.treur@vu.nl> Objectives From a Computer Science or AI perspective, social interaction for human or virtual agents might simply be modeled like exchange of information. However, as many researchers involved in this area know, in a realistic context there is much more to it than that. Some examples of quite relevant aspects are how information about the other agent is represented and interpreted, how the interaction behaviour is context-sensitive and has flexibility in responses, and can be adaptive over time, for example, like in bonding. Research on all of such and other relevant aspects can be addressed in this track. Topics Some of the specific topics covered are (but the scope is not limited to these): * Multimodal interaction * Representing and learning about the other agent, self-other distinction * Social contagion and mirroring * Emergence of similarity during social interaction: homophily, synchrony * Adaptivity of interaction behaviour over shorter and longer time periods * Interpersonal regulation of emotions between agents * Joint-decision making * Collaborative learning * Artificial social systems * Social affective computing * Socially intelligent agents and multi-agent systems Important dates Paper submission: January 5, 2024 (2nd extension) Notification of acceptance: February 28, 2024 Camera-ready papers: March 15, 2024 Registration & payment: March 15, 2024 Conference date: April 15-18, 2024

1 0

Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque Dec. 27, 2023

Dec. 27, 2023

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team that can be consulted at our website. The project may be developed at the laboratories of USP, campuses of São Paulo or Ribeirão Preto, or at UNICAMP, Campinas, in person. We seek candidates capable of developing independent research in one of the research lines below. 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing, and quantitative analysis of neurobiological data. 3. Instrumentation development associated with brain stimuli. Candidates to the first research line are required to have a strong background in probability theory with emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a strong background in electronic instrumentation, robotics, programing, and safety in medical equipment. The initial appointment is for one year, with a possible extension, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form <https://neuromat.numec.prp.usp.br/postdoc/new/>. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 <http://www.fapesp.br/en/6351> for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three research lines the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program <https://neuromat.numec.prp.usp.br/scientific-project/>. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until the deadline of February 02, 2024. Appointment is expected to start by March 2024. The initial period of the position lasts for 12 months, with possible renewals to up to the end of the project, July 31, 2025. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of BRL 9,047.40 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427 <http://www.fapesp.br/en/5427>. -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

1 0

First Call for Papers: RaPID-5@LREC-COLING 2024
by Dim X Dec. 27, 2023

Dec. 27, 2023

************************************************************************************* *First Call for Papers:* The 5th workshop on: "*Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from * * people with various forms of cognitive/psychiatric/developmental impairments*" *Workshop*: co-located with LREC-COLING 2024 | Turin, Italy | May 21st, 2024 RaPID-5 serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-5 is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. *Submission deadline*: Sun., 31st of March, 2024 (anywhere on earth) *Paper submission*: https://softconf.com/lrec-coling2024/rapid2024/ *Website and more details*: https://spraakbanken.gu.se/en/rapid-2024 *Contact*: Dimitrios Kokkinakis *Contact email*: dimitrios.kokkinakis(a)gu.se *Organizing committee*: - Kathleen C. Fraser, National Research Council, Canada; - Dimitrios Kokkinakis, University of Gothenburg, Sweden; - Kristina Lundholm Fors, Lund University, Sweden; - Charalambos K. Themistocleous, University of Oslo, Norway - Athanasios Tsanas, The University of Edinburgh, UK - Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden **************************************************************************************

1 0

Neuro-AI Conference in Chile, April 2024
by Christopher Pack, Dr. Dec. 26, 2023

Dec. 26, 2023

Abstract submission is now open for the Pucón Summit on Neuroscience and Artificial Intelligence, to be held in Pucón, Chile, from April 8-12, 2024. The Summit will aim to explore the intersection of neuroscience and Artificial Intelligence (AI), with a particular focus on mechanisms of learning. This event will provide a platform for AI and experimental neuroscience researchers to delve into the mechanisms of learning at the cellular, systems, and behavioral levels. The meeting aims to address three fundamental questions that have been the subject of intense research and theoretical debate: 1) What cellular mechanisms enable learning on different timescales? 2) How do brain networks modify their connectivity to support adaptive behaviors? 3) How do popular AI learning algorithms relate to biological mechanisms of learning at the cellular and systems levels? The emphasis will be on exchanging information between theoretical and experimental scientists. How can AI generate testable predictions for neuroscientists? How can neuroscientific discoveries inform the next generation of AI models? More information is available at the website: https://plena.cenia.cl/<https://plena.cenia.cl/registration/> This five-day meeting will involve talks in the morning, free afternoons for speakers, workshops for students, and round table discussions in the evenings. There is also a possibility of satellite workshops and other activities involving trainees before and after the meeting. Important dates Abstract submission: January 24, 2024 Early registration: February 2, 2024 Regular registration: March 5, 2024 Keynote speakers Sara Solla (Northwestern University) Nelson Spruston (HHMI) Full list of invited talks: https://plena.cenia.cl/speakers/ Chile is renowned for its beautiful landscapes, rich culture, and vibrant research community. We have selected the city of Pucón, as an exceptional venue providing a secluded and conducive environment for stimulating conversations, fruitful collaborations, and unique outdoor activities (i.e., Volcano trekking, river rafting, lake activities, etc.). We hope to see you there. Regards, The Scientific Committee [cid:image003.jpg@01DA37E3.2F598230]Roberto Araya (U. Montreal, Canada) Christopher Pack (McGill University, Canada) Pedro Maldonado (Universidad de Chile, Chile) Markus Diesmann (Jülich Research Center, Germany) For any questions, please contact us by email: plena(a)cenia.cl<mailto:plena@cenia.cl>

1 0

COSYNE 2024: Travel grants; Pre-Cosyne Brainhack
by Tomas Hromadka Dec. 24, 2023

Dec. 24, 2023

==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open Travel grants applications are now open. Travel grant applications deadlines: *31 December 2023, 11.59PM PST (Undergraduate Travel Grant)* 24 January 2024, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside Europe. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ----------------------------------------------------- PRE-COSYNE BRAINHACK ----------------------------------------------------- Pre-COSYNE Brainhack is a satellite event and hackathon from 27-28 February 2024 in Lisbon, Portugal, immediately preceding the COSYNE conference. This hackathon brings together people who are passionate about open science, open-source tools, and collaboration around computational and systems neuroscience. It provides an opportunity for people from different institutions to work together on projects of shared interest and learn from each other. Anyone is welcome to participate. Space is limited to 25 people. To learn more and apply, please visit the Pre-COSYNE Brainhack website: https://pre-cosyne-brainhack.github.io/hackathon2024 ----------------------------------------------------- COSYNE 2024 SPEAKERS ----------------------------------------------------- Blaise Aguera y Arcas (Google Research) Dora Angelaki (NYU) Silvia Arber (U Basel) Laura Busse (LMU Munich) Lars Chittka (Queen Mary U) Kafui Dzirasa (Duke U) Elizabeth Hong (Caltech) Alex Pouget (U Geneva) Rajesh Rao (U Washington) Mac Shine (U Sydney) David Sussillo (Meta Reality Labs & Stanford) Claire Wyart (ICM Brain & Spine Institute) ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Yashar Ahmadian (U Cambridge) Athena Akrami (UCL) Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Jorge Mejias (U Amsterdam) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) Dan Yamins (Stanford) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists lists for details.

1 0

Job offer: schizophrenia, pharmacology, modeling
by BREYTON Martin Dec. 23, 2023

Dec. 23, 2023

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

1 0

Postdoctoral positions in computational neuroscience
by Richard Naud Dec. 22, 2023

Dec. 22, 2023

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

1 0

PhD position call in Barcelona
by Diego Vidaurre Dec. 22, 2023

Dec. 22, 2023

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

1 0

PhD project in recurrent neural network models of neural dynamics
by Mark Humphries Dec. 22, 2023

Dec. 22, 2023

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

1 0

Book: Principles of Computational Modelling in Neuroscience
by Gaute Einevoll Dec. 21, 2023

Dec. 21, 2023

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

1 0

NEST Conference 2024 — Save the date 17/18 June 2024
by Hans Ekkehard Plesser Dec. 21, 2023

Dec. 21, 2023

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

1 0

PhD position in computational psychiatry / computational neuroscience
by Klaus Obermayer Dec. 21, 2023

Dec. 21, 2023

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

1 1

The Canadian Neuroanalytics Scholars (CNS) Program
by Joern Davidsen Dec. 20, 2023

Dec. 20, 2023

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

1 0

Post-doctoral research scientist position: Communication in complex audio-visual virtual environments
by Bernhard Seeber Dec. 20, 2023

Dec. 20, 2023

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

1 0

PhD positions in Neuroscience at the Champalimaud Centre for the Unknown
by Memming Park Dec. 19, 2023

Dec. 19, 2023

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

1 0

PhD position on reservoirs with dynamic synapses (Göttingen, Germany)
by Fauth, Michael Dec. 19, 2023

Dec. 19, 2023

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

1 0