- Comp-neuro - lists.cnsorg.org

PhD position in machine learning at the University of Nottingham
by silvia maggi Oct. 11, 2023

Oct. 11, 2023

Hello, We have a fully funded PhD position open at the University of Nottingham to work on developing machine learning approaches to track an individual’s decision-making behaviour in an uncertain environment. The project will be supervised by Dr Silvia Maggi and Prof. Mark Humphries in collaboration with Dr Hazem Toutounji. For more information and how to apply, click here<https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci…>. The application deadline is 30 November 2023, starting 1st of February 2024. Best Silvia ************************************ Silvia Maggi, PhD Assistant Professor School of Psychology (room LG18) University of Nottingham

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postdoc on computational modelling of perceptual inference and psychophysics (CRM, Barcelona)
by Alexandre Hyafil Oct. 11, 2023

Oct. 11, 2023

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the *Center for Research in Mathematics (CRM),* Barcelona, Spain (https://www.crm.cat/_neuroscience/) The project involves a flexible mix of theory (mostly based on Bayesian perception and Probabilistic Graphical Models) and psychophysics (possibly neuroimaging) to study the mechanisms of propagation of belief in human perception. Our lab is part of a larger interacting network of computational/cognitive/systems neuroscience labs in Barcelona ( http://www.barccsyn.org) Candidates should have a PhD in computational cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued. Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years. *APPLICATION:* Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil(a)gmail.com. Informal enquiries are welcome. *DEADLINE:* until the position is filled *STARTING DATE:* anytime before september 2024

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Postdoc in brain networks + 2 PhD positions in AI for neuroscience and collective dynamics
by Giovanni Petri Oct. 11, 2023

Oct. 11, 2023

Hello, We have various positions open in the Network Science Institute at Northeastern University London. In particular, we have: - 1 postdoc position open on higher-order approaches to brain function: https://www.jobs.ac.uk/job/DCX115/postdoctoral-research-associate-in-networ… - 2 Phd positions on symmetries in learning systems and on collective dynamics: https://www.jobs.ac.uk/job/DDF050/phd-scholarship-fully-funded-in-network-s… https://www.jobs.ac.uk/job/DDF101/phd-scholarship-fully-funded-in-network-s… For any information, I can be reached at giovanni.petri(a)nulondon.ac.uk. Best, G. -- ----------------------------------------------------------------------------------- *Higher-Order Systems* Available through all good bookshops, or direct from SpringerLink <https://link.springer.com/book/10.1007/978-3-030-91374-8> ------------------------------------------------------------ ----------------------- Giovanni Petri, PhD Professor, Network Science Institute Northeastern University London lordgrilo.github.io ------ CENTAI Lead, Project CETI <https://www.projectceti.org/> ------ Guest Scholar, NETWORKS Unit, IMT School for Advanced Studies Lucca ------

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COSYNE 2024: Call for Workshop Proposals; Call for Abstracts
by Tomas Hromadka Oct. 10, 2023

Oct. 10, 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 Abstract submission is now open. Workshop proposal submission deadline: 10 November 2023 Abstract submission deadline: 19 November 2023 ---------------------------------------------------- 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. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. 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. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Cascais, Portugal. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) WORKSHOP FULL PROPOSALS - Deadline 10 November 2023 To submit your Cosyne 2024 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2024 WORKSHOP CHAIRS SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- 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 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) 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) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) 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) 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) 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 Cosyne.org -> About-> Mailing lists for details.

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Scientist position at the Allen Institute
by Anton Arkhipov Oct. 10, 2023

Oct. 10, 2023

Dear Colleagues, A Scientist position is open at the Allen Institute in the area of biologically realistic modeling. Please see the job description here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2773735 The Scientist will participate in our efforts to develop bio-realistic simulations at multiple levels: from neurons, to brain areas, to whole brains. These efforts leverage our multimodal datasets on the composition, connectivity, and in vivo activity of the mouse brain. The goal is to study the cell type and circuit mechanisms of brain computations and dynamics. Please consider applying and reach out if you have any questions. I and members of my group are attending the SfN meeting and will be happy to talk with potential applicants there. Best wishes, Anton Arkhipov Investigator Allen Institute Seattle, WA antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>

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LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications)
by Antonio Roque Oct. 8, 2023

Oct. 8, 2023

**** Apologies for cross-posting **** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 14, 2023 SECOND ANNOUNCEMENT Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, University of Strasbourg, Strasbourg, France Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Dartmouth College, Hanover, NH, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 14, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- 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>

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Human Neocortical Neurosolver workshop at SFN 2023
by Stephanie Jones Oct. 8, 2023

Oct. 8, 2023

Are you going to SFN this year and interested in learning about how to interpret the cell and circuit origin of your EEG or MEG data? Join us for an in person hands-on SFN satellite workshop on the Human Neocortical Neurosolver (HNN, https://hnn.brown.edu <https://hnn.brown.edu/> ) on Sat November 10th 9am-3pm. The HNN is an open-source software tool to help researchers and clinicians interpret the cell and circuit origin of their MEG/EEG data. Attendees will learn how to use the HNN-GUI to study the origin of commonly measured signals, including ERPs and low frequency brain rhythms, followed by instruction on how to simulate these signals using the HNN-core Python interface. If you have specific data to work with, bring it and we’ll help you get started. Free pre-registration is required & limited to 25 participants. Registration is filling fast. Sign up today at: https://tinyurl.com/mryhbuy8 . ******************************************* Stephanie R. Jones, PhD Professor Department of Neuroscience Brown University Stephanie_Jones(a)Brown.edu https://sites.brown.edu/stephanie-r-jones-lab/ @drstephjones Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/> @HNNsolver

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Postdoctoral position in Computational Neuroscience to study plasticity and learning in olfactory system
by Bazhenov, Maksim Oct. 6, 2023

Oct. 6, 2023

The Bazhenov Lab at the University of California, San Diego, is currently seeking to fill a postdoctoral position to study mechanisms of plasticity and learning in the insect olfactory system. This exciting project involves close collaboration with several experimental labs. The ultimate goals of the work are to advance our understanding of how olfactory information is encoded, how animals learn from limited experience, and to develop novel AI algorithms inspired by principles learned from nature. The successful candidate will be responsible for: (a) Designing anatomically realistic computational network models of the olfactory system based on experimental data; (b) Developing and training machine learning models using empirical data. These models will be instrumental in uncovering network dynamics involved in processing and learning olfactory inputs. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects, such as modeling sleep or applying principles learned from neuroscience to artificial intelligence for continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python and PyTorch is a significant plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu>

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2024 International Conference on Mathematical Neuroscience
by Avitabile, D. (Daniele) Oct. 4, 2023

Oct. 4, 2023

Dear All, We are delighted to announce the 2024 International Conference on Mathematical Neuroscience, which will take place at University College Dublin from June 12-14. The conference will include keynote, invited and contributed talks, as well as poster presentations. Keynote lectures will be given by Benjamin Lindner (Bernstein Center for Computational Neuroscience, Berlin, Germany) Kathryn Hess Bellwald (EPFL, Lausanne, Switzerland) Martin Wechselberger (University of Sydney, Australia) (tentative) Our growing list of confirmed invited speakers includes Paul Bressloff (University of Utah, Salt Lake City, USA) Rodica Curtu (The University of Iowa, USA) Gemma Huguet (Universitat Politècnica de Catalunya, Spain) Songting Li (Shanghai Jiao Tong University, Shanghai, China) Tim O’Leary (University of Cambridge, UK) Tilo Schwalger (TU Berlin, Germany) For further information see the conference website www.danieleavitabile.com/icmns24 Details on abstract submission, registration and accommodations will be added in the coming week. Please share this announcement and spread the word with your networks! We look forward to seeing you in Dublin next summer. Best wishes, Áine Byrne, Daniele Avitabile and Jonathan Rubin

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Barcelona Event: "Creativity: What makes us human"
by Leonardo Dalla Porta Oct. 4, 2023

Oct. 4, 2023

Greetings, We invite you to attend the roundtable discussion "Creativity: What makes us human," featuring three internationally renowned speakers: Pep Gatell, Artistic Director of La Fura dels Baus; Carme Ruscalleda, a 7-Michelin-starred chef; and Idan Segev, Neuroscientist from Hebrew University. We look forward to seeing you on *October 6th at 7:00 PM* in the Aula Magna of the Historic Building at the *University of Barcelona*. Due to limited space, we recommend that you register in advance. We would also appreciate it if you could share this invitation with your contacts. Registration here: Registration <https://forms.office.com/pages/responsepage.aspx?id=qzwxosOxOk-7ESFXRH3btDs…> Best Regards -- *Leonardo Dalla Porta D.*

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CFP - IEEE International Conference on Development and Learning 2024
by nagai.yukie＠mail.u-tokyo.ac.jp Oct. 3, 2023

Oct. 3, 2023

Dear colleagues, IEEE International Conference on Development and Learning 2024 May 20–23, 2024 Austin, TX, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for full paper submissions: December 15, 2023 Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 The IEEE International Conference on Development and Learning (ICDL) conference is a unique meeting gathering researchers from computer science, robotics, psychology, neuroscience, and other disciplines to share and discuss research on how humans and other animals learn and develop and how this can inform and be informed by robotics and machine learning systems. Full papers and other submissions are invited on a range of topics including but not limited to: ● Embodied learning and development in biological systems and robots ● Developmental stages and sensitive periods ● Emergence of verbal and nonverbal communication ● Curiosity, intrinsic motivations, exploration, play and active learning ● Architectures for lifelong learning ● Emergence of body and affordance perception ● Learning control of body movement ● Emotional development and the role of emotion in learning ● Prediction, planning, and problem solving ● The relationship between evolution and development ● Epistemological foundations and philosophical issues ● Robotic and computational models of human and animal development ● Developmentally-inspired machine learning ● Human-robot interaction in developmental contexts ● Applications of machine learning to human and animal development Submissions may take the form of full (6-page) papers, 1-page poster abstracts, journal track posters, and workshops or tutorials. Please see below for details on each submission type. Decisions regarding acceptance will be based on technical quality, novelty, and expected interest to the conference’s interdisciplinary audience. In addition to talks and posters originating from these submissions, the conference will feature a keynote speaker as well as several invited symposia showcasing recent research on a set of themes, with different disciplines and perspectives featured, to prompt lively and productive discussion at the conference. [ Submission types ] ● Full six-page paper submissions Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. Up to two extra pages are acceptable for a publication fee of $100 per page. Accepted papers will be invited for presentation either in oral or poster format Please make use of the template provided at https://www.ieee.org/conferences/publishing/templates.html ● 1-page poster abstracts To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. ● Journal-track posters Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Instructions regarding the online submission system will be posted soon via the conference website. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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Final reminder: The fourth Canadian Computational Neuroscience Spotlight starts Thursday!
by Scott Rich Oct. 3, 2023

Oct. 3, 2023

Dear Comp-Neuro Listserv, *The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS v4) begins this Thursday at 9 am EDT. *The free meeting takes place entirely online via the Crowdcast platform, and you can register here: https://www.crowdcast.io/c/ccnsv4 This year we'll be featuring three fantastic keynote speakers: Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. In addition, each keynote talk will be accompanied by a related "workshop/tutorial" talk geared towards educating trainees, and we'll also highlight submitted talks by more than 40 undergrads, grad students, and postdocs. You can review the detailed schedule at ccnsmeeting.ca. Please don't hesitate to reach out if you have any questions, and we hope to (virtually) see you all later this week! Sincerely, Scott Rich

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Oct. 3, 2023

Oct. 3, 2023

Dear all, Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and neuronal biophysics: Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). What We Provide: ·A competitive compensation package, with comprehensive health and welfare benefits. ·The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts ·The ability to work as an independent scientist ·An exciting and inspiring work environment at HHMI Janelia What You’ll Do: We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. What You Bring: ·M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). ·Extensive coding experience ·Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here: https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp… <https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…>

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Tenure-track Assistant Professor position in Mathematical and Statistical Foundations of Big Data at Georgia State University
by Yaroslav Molkov Oct. 3, 2023

Oct. 3, 2023

The Department of Mathematics and Statistics at Georgia State University invites applications to fill a tenure-track Assistant Professor position in Mathematical and Statistical Foundations of Big Data with a start date of August 2024. Candidates in all areas of mathematics and statistics related to big data analysis and processing are encouraged to apply. Essential Qualifications: - Ph.D. in Mathematics, Statistics, Data Science, or a closely related field; - Ability to teach core undergraduate and graduate mathematics and/or statistics courses; - Experience in research and teaching in the field of mathematical and statistical foundations of big data. Preferred Qualifications: - Strong desire to work in a cross-disciplinary, collaborative environment; - An experience in supervising undergraduate and graduate students. The Department offers BS in Mathematics, MS in Mathematics with no concentration or concentrations in Bioinformatics, Biostatistics, Discrete Mathematics, Scientific Computing, Statistics, Applied Mathematics, as well as Statistics and Allied Fields, and Ph.D. in Mathematics and Statistics with concentrations in Mathematics, Applied Mathematics, Bioinformatics, and Biostatistics. Faculty members in the department have established nationally and internationally recognized research programs in both mathematics and statistics, including applied statistics, biostatistics, data science, dynamical systems, complex networks, machine learning, inverse problems, mathematical biology, optimization, computational mathematics, systems biology, modeling neural, cardiovascular, and multi-organ systems, physical and biomedical image analysis. Additionally, the Department collaborates with other GSU departments in epidemiology, pathogen genetics, immunology, inflammation, and translational biomedical sciences. For more information, please visit our website at https://www.mathstat.gsu.edu/. GSU, the largest university in Georgia, is an enterprising urban R1 research university located in downtown Atlanta and home to one of the most diverse student bodies in the country. It is a national leader in applying innovative measures to drive student success and research growth, as well as generating innovative research. Applicants should submit: 1) a cover letter outlining qualifications and research interests, 2) a curriculum vitae with a publication list and (optional) a teaching and funding list, 3) a research statement, including current and future research agenda, and 4) a teaching statement with evidence of aptitude or ability to teach at the undergraduate and graduate levels. All materials should be submitted online at http://www.mathjobs.org. Applicants should also arrange for three letters of recommendation to be submitted online at http://www.mathjobs.org. A formal review of applications will begin on November 15, 2023, and will continue until the position is filled. An offer of employment will be conditional upon background verification. Georgia State University is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state, or local protected class.

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lecture notes published
by Michael Biehl Oct. 3, 2023

Oct. 3, 2023

Dear colleagues. My lecture notes "The Shallow and the Deep - A biased introduction to neural networks and old school machine learning" have been published by University of Groningen Press: https://books.ugp.rug.nl/index.php/ugp/catalog/book/130 The book is available as open access e-pub (pdf) and non-profit print-on-demand (softcover) from various sources, see https://www.cs.rug.nl/~biehl/mpubl.html for some links. Best wishes, Michael -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science & Artificial Intelligence P.O. Box 407, 9700 AK Groningen, NL https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023
by Hocine Cherifi Oct. 3, 2023

Oct. 3, 2023

*12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* <https://www.menton-riviera-merveilles.co.uk/>*, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 <http://www.complexnetworks.org/> *Registration:* https://complexnetworks.org/registration/ Early registration deadline: *October 13, 2023* *KEYNOTE SPEAKERS* Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/>* - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* <https://complexnetworks.org/keynote-speakers-3/> Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* <https://complexnetworks.org/keynote-speakers-3/> Manlio De Domenico <https://manliodedomenico.com/> Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* <https://complexnetworks.org/keynote-speakers-3/>* Interconnected Systems* Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* <https://complexnetworks.org/keynote-speakers-3/> Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* <https://complexnetworks.org/keynote-speakers-3/> Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> - USTC China - *Recent Debates in Link Prediction* <https://complexnetworks.org/keynote-speakers-3/> *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto <https://skewed.de/tiago> - CEU Vienna Austria - *Network Inference and Reconstruction* <https://complexnetworks.org/tutorials/> Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> - Queen Mary University of London UK - *Longitudinal language processing from user generated content* <https://complexnetworks.org/tutorials/> Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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COSYNE 2024: Meeting announcement; Call for Abstracts
by Tomas Hromadka Sept. 30, 2023

Sept. 30, 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 ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- 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. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 19 November 2023. 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. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 04 October 2023 Abstract submission deadline: 19 November 2023 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. 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) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) 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 (EPFL) Poster Design: Maja Bialon PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair 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) Juan Gallego (Imperial) Matthew Golub (U Washington) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) 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) 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) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) 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 Cosyne.org -> About-> Mailing lists for details.

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Open PhD position - Spiking Neural Networks for scalable learning neuromorphics
by Robert Legenstein Sept. 29, 2023

Sept. 29, 2023

The Lab of Robert Legenstein at Graz University of Technology (Austria) is offering a funded PhD position in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. The successful candidate will work on learning algorithms for spiking neural networks in the international consortium of the international project "Scalable Learning Neuromorphics". We will develop in this project learning algorithms for spiking neural networks for memristive hardware implementations. Please send your application including a CV, any prior thesis and/or work by October 20 to robert.legenstein(a)igi.tugraz.at Scalable Learning Neuromorphics project description: This project aims to develop scalable Spiking Neural Networks (SNNs) by leveraging the integration of 3D memristors, thereby overcoming limitations of conventional Artificial Neural Networks (ANNs). Positioned at the intersection of artificial intelligence and brain-inspired computing, the initiative focuses on innovative SNN training methods, optimizing recurrent connections, and designing dedicated hardware accelerators. These advancements will uniquely contribute to scalability and energy efficiency. The endeavor addresses key challenges in event-based processing and temporal coding, aiming for substantial performance gains in both software and hardware implementations of artificial intelligence systems. Expected research outputs include novel algorithms, optimization methods, and memristor-based hardware architectures, with broad applications and potential for technology transfer. -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Postdoc position on signal processing, AI and software for a closed-loop epilepsy, CLINATEC, Grenoble, France
by COSTECALDE Thomas Sept. 29, 2023

Sept. 29, 2023

We are seeking a highly motivated Postdoc to join the Epilepsy<https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> program at Clinatec, France (Grenoble). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously. The position will be for 3 years and open now. Please send your expression of interest to malvina.billeres(a)cea.fr<mailto:malvina.billeres@cea.fr> and get in touch if you have any questions. We look forward to hearing from you! Thanks Dr Costecalde Thomas Here is the full description : Title: Post-doctoral fellow (H/F) signal processing, AI and software for a closed-loop epilepsy treatment application using focal cooling, seizure prediction and detection. Context: Epilepsy remains one of the most common neurological disease. This pathology has an incidence of 50 to 100 000 new cases per year and affects around 50 million people worldwide.Antiepileptics drugs are currently the gold treatment but they are effective only in 60-70% of patients. For several years, nonpharmacological potential new treatments have been investigated including an interesting new approach using focal cooling. In the literature, some results in preclinical models have shown that a cooling at 21°C can reduce the frequency of epileptic seizures. The postdoctoral fellowship will be carried out at Clinatec, in Grenoble, France. We have started a programme focused on focal cooling treatment. Our aim is to develop a medical device delivering a focal cooling to deep brain regions such as the hippocampus to treat epilepsy. We have therefore developed a preclinical implantable device to deliver this cooling in order to obtain information concerning the parameters needed to reduce seizures (target temperature, duration...). The fellowship will investigate algorithmic approaches to detecting pre-ictal phenomena (interictal spikes) associated with the occurrence of seizures, using the PNH-penicillin model or other acute models. Seizure prediction is an essential part of the cooling approach-maximizing efficacy while reducing technical constraints. The candidate will work closely with a neurosurgeon, who will provide neuroscientigic expertise, as well as a PhD student (biology). The laboratory also includes engineers, clinicians and a signal processing team. Missions will include, * Labelling of the different brain signals occurring in epilepsy (seizure, pre-ictal, interictal, post-ictal...). * Statistical analysis and hypothesis testing of the data. * Online closed loop optimization of seizure prediction/forecasting algorithms. * Detection of anomalies (HFO, fast ripples, phase coupling) for prediction and forecasting. * Testing of adaptive algorithms for prediction and forecasting (preclinical/clinical database): effects of cooling on algorithm performance. * Integration of other measurements (temperature...) in algorithm prediction. * Maintenance and improvement of experiment software Profil of candidate: PhD or equivalent with strong knowledge in time-series, machine learning, signal processing, with strong skills in Python. Some experience in manipulating large data and working on clusters (slurm) is an advantage. Otherwise, a basic knowledge of the Unix command line basics is required. Ability to work autonomously.

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The Purdue CCNLAB is recruiting a new graduate student for Fall 2024!
by Helie, Sebastien Sept. 29, 2023

Sept. 29, 2023

Dr. Sébastien Hélie is looking for new graduate students interested in problem solving, decision-making, or cognitive control. Dr. Hélie supervises students in the Mathematical & Computational Psychology (MCP) program, the Cognitive Psychology program, and the Neuroscience and Behavior program. This year, priority will be given to applications in the MCP program, but my interest is to recruit the best applicant regardless of which program the applicant is from. The Department of Psychological Sciences at Purdue University is consistently ranked among the top 50 in the US, and the CCNLAB has been doing cutting-edge research using various behavioral, neuroscientific, and computational methodologies. Interested students should contact Prof. Hélie at shelie(a)purdue.edu. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ -----------------------------------------------------------------

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Postdoc position on predictive representation / dynamic RSA, CIMeC, Uni Trento, Italy
by Moritz Wurm Sept. 29, 2023

Sept. 29, 2023

We are seeking a highly motivated Postdoc to join the Action Recognition and Concepts Group <https://www.cimec.unitn.it/en/929/action-recognition-and-concepts-group> at CIMeC (Center for Mind/Brain Sciences), University of Trento, Italy. The research project will focus on a MEG-based dynamic extension to representational similarity analysis (dynamic RSA <https://www.nature.com/articles/s41467-023-39355-y>) that we have recently developed in our lab to investigate predictive representations of dynamic events. The successful candidate should have a background in cognitive neuroscience (preferably in action and/or perception, M/EEG or fMRI, MVPA/RSA) and strong programming skills (preferably Matlab). The position will be for 2 years and probably open in beginning of 2024. Please send your expression of interest to moritz.wurm(a)unitn.it <mailto:moritz.wurm@unitn.it> and get in touch if you have any questions. We look forward to hearing from you! Best wishes, Moritz Wurm

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Modellers Workshop for the Brain Dynamics Toolbox (Final Call)
by Stewart Heitmann Sept. 29, 2023

Sept. 29, 2023

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. The Modeller’s Workshop is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information Enrolments close Sat 30th Sep 2023. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Organization for Computational Neurosciences - call for self-nominations to the Board of Directors
by Rubchinsky, Leonid L Sept. 28, 2023

Sept. 28, 2023

Dear Colleagues, The Organization for Computational Neurosciences is inviting self-nominations for the OCNS Board of Directors election. New Directors will serve a three-year term from January 2024 through December 2026. Candidates are required to be an OCNS members for at least a year or to attend an on-site annual CNS meeting in the past. More information about the new Directors’ election can be found at https://www.cnsorg.org/election-procedures The deadline for application is October 11, 2023. Best regards, OCNS Board of Directors

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Two Computational Neuroscience Faculty Positions at UChicago
by Brent Doiron Sept. 28, 2023

Sept. 28, 2023

Dear Computational Neuroscience Community The University of Chicago's Grossman Center for Quantitative Biology and Human Behavior seeks to recruit faculty in computational/theoretical neuroscience into the Department of Neurobiology within the Biological Sciences Division or the Department of Physics in the Physical Sciences Division. Appointees will be core members of the Grossman Center for Quantitative Biology and Human Behavior and will lead a ‘dry’ computational lab alongside a growing group of other computational neuroscientists. Appointments will be made in an appropriate primary department (Neurobiology or Physics) based on field and experience, with secondary appointment(s) in another unit possible. Academic rank and compensation (including a generous package of fringe benefits) are dependent upon qualifications. We especially welcome applicants who are developing computational models and analysis methods at the cellular, circuits, systems, or cognitive levels from all relevant academic disciplines including physical and biological sciences. Appointees will be expected to establish deep and extensive collaborations with the vibrant experimental neuroscience community at the University of Chicago. The University of Chicago is currently engaged in a major expansion in neuroscience, with computational neuroscience being an area of focus. The University offers a rich intellectual environment that includes a strong translational neuroscience community and affiliations with Argonne National Laboratory and the Data Science Institute. The Divisions, other academic units of the University, and the School of Medicine, are all contained within one compact campus in Chicago's Hyde Park. Appointees will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences. Prior to the start of employment, qualified applicants must have a Ph.D. or equivalent. Application Instructions: Applications must be submitted through the University of Chicago’s Academic Recruitment job site: http://apply.interfolio.com/133134. Review of applications will begin on November 1, 2023, and continue until all positions are filled. Best Brent Doiron -- Heinrich Kluver Professor of Neurobiology and Statistics Director of the Grossman Center for Quantitative Biology and Human Behavior Chair for the Committee on Computational Neuroscience University of Chicago Chicago IL https://brainmath.bsd.uchicago.edu/

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Postdoctoral Associate Position in Cardiac-Cortical Circuit Modelling at the Group for Neural Theory and LNC2, Ecole Normale Superieure, Paris.
by Boris Sept. 28, 2023

Sept. 28, 2023

A three-year post-doctoral position in theoretical neuroscience is open to explore the mechanisms of interaction between interoceptive cardiac and exteroceptive tactile inputs at the cortical level. We aim to develop and validate a computational model of cardiac and of a somatosensory cortical circuit dynamics in order to determine the conditions under which interactions between exteroceptive and interoceptive inputs occur and which underlying mechanism (e.g., phase-resetting, gating, phasic arousal,..) best explain experimental data. The ideal candidate should have a doctoral degree in quantitative discipline (e.g. applied mathematics, physics, engineering) and previous experience with dynamic system approaches to neural function , modelling cortical neural circuits, excellent programming skills coupled with an interest for, and a willingness to learn about, interoception and its influences on neural dynamics, perception and cognition. The candidate will have a unique opportunity to join the project at its very inception and take a key role in the technical and conceptual development. The postdoctoral fellow will be based at the Group for Neural Theory <https://gnt.dec.ens.fr/en> at LNC2 <https://lnc2.dec.ens.fr/en> , in Boris Gutkin’s team <https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits> with strong interactions with Catherine Tallon-Baudry’s team <https://lnc2.dec.ens.fr/en/research/teams/subjectivity-brain-and-viscera-45…>. LNC2 is located in the center of Paris within the Cognitive Science Department <https://cognition.ens.fr/en> at Ecole Normale Supérieure <https://www.ens.psl.eu/en>, with numerous opportunities to interact with the Paris scientific community at large, in a stimulating and supportive work environment. Group for Neural Theory provides a rich environment and local community for theoretical neuroscience. Lab life is in English, speaking French is not a requirement. Salary according to experience and French rules. Starting date is first semester 2024. Informal enquiries and applications (CV, motivation letter and contacts for reference) should be sent to boris.gutkin(a)ens.psl.eu <mailto:boris.gutkin@ens.psl.eu> and catherine.tallon-baudry(a)ens.psl.eu <mailto:catherine.tallon-baudry@ens.psl.eu>. Applications can be sent immediately but application evaluation will begin on Oct 25th, 2023. Applications received after Oct 25th will be evaluated on the fly, the position remaining open until filled. Boris Gutkin, PhD Research Director CNRS Group for Neural Theory LNC2, INSERM U 960 Department of Cognitive Studies Ecole Normale Superieure Paris. France boris.gutkin(a)ens.fr

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PhD student in Amsterdam on embodied decision-making
by Bernadette van Wijk Sept. 28, 2023

Sept. 28, 2023

Dear colleagues, Within the Neurocontrol section at the Department of Human Movement Sciences, Vrije Universiteit Amsterdam, we are looking for a PhD candidate on the topic of embodied decision-making. The candidate will work at the intersection between cognition and motor control. With clever experimental designs and a strong focus on EEG time series analysis, and neural and cognitive modelling, we aim to dig into the neural mechanisms of perceptual decision making. The 4-year project will be supervised by Dr. Bernadette van Wijk, Dr. Rob van Beers, and Prof. Jeroen Smeets. Requirements: - MSc degree in human movement sciences or a related field such as (cognitive or computational) neuroscience, psychology, or biomedical engineering - Affinity with the research topics motor control and perceptual decision-making - Prior experience with conducting behavioural experiments in human participants - Prior experience with time series analysis and statistical modelling - Comfortable with programming in Matlab and/or Python - Prior experience with conducting and analyzing EEG experiments is desired For more information and to apply, please see: https://workingat.vu.nl/ad/phd-position/d6jrlg PhD position: The neural mechanisms of Embodied decision-making - 4. Working at VU workingat.vu.nl Best, Bernadette van Wijk Assistant Professor Department of Human Movement Sciences Vrije Universiteit Amsterdam The Netherlands

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UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine Sept. 27, 2023

Sept. 27, 2023

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon’s reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules.*Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. Check our **Call For Papers <https://unireps.org/call-for-papers/>** below.* *For any additional information check our **website <https://unireps.org/>* *, **Twitter profile <https://twitter.com/unireps>**, **Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>**, or contact us at **unireps.organizers(a)gmail.com**.**Call For Papers* Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. *Topics* A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs *Important Dates* - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 *Tracks* Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop.*Paper Format* The full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>. *Clementine Domine* *Gastby Computational Neuroscience Unit Phd Student* On the behalf of the Unireps committee

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NITMB Fellows Program
by William L. Kath Sept. 27, 2023

Sept. 27, 2023

Dear Colleagues and Friends, We are excited to announce the launch of the National Institute for Theory and Mathematics in Biology <https://new.nsf.gov/news/new-50-million-institute-aims-use-power-math-model>! This joint venture between Northwestern University and the University of Chicago is funded by the NSF and Simons Foundation and will form a hub for research at the interface of mathematics and biology. The NITMB <https://www.nitmb.org/> will support research projects in the Chicagoland area plus a wider network of collaborators, and will also host long programs to bring researchers from around the globe together to tackle how biological systems operate, focusing on mathematical theories, modeling, algorithms, and computational approaches. We are also excited to begin recruiting talented independent postdoctoral researchers to the NITMB, and we’d like your help spreading the word. Attached you will find our call for applications tothe NITMB Fellows <https://www.nitmb.org/nitmb-fellows> Program. These are three year positions for postdocs, who can function with a large amount of autonomy at the NITMB. We hope you’ll share this broadly. Cheers, The NITMB team ---------------------------- The newly formed NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), jointly hosted by Northwestern University and the University of Chicago, invites applications for the 2024-2027 NITMB Fellows Program. We seek remarkable early-career researchers, who will have completed a doctoral degree in Mathematics, Physics, Computer Science, Engineering, Biology or related fields by September 2024. This opportunity is open to researchers who want to develop theory and computational approaches to study any area of biology. Under the mentorship of NITMB leadership, fellows will develop an independent research program aligned with the Institute’s interest in the constraints and capabilities of living systems, fostering collaborations with NITMB members or others outside the Institute. This three-year fellowship offers a competitive salary and generous research stipend. The goal of the fellowship is to empower an early-career scholar to define their research path, either independently or in close collaboration with members across various departments, including Biological Sciences, Mathematics, Physics, Computer Science, and Engineering. Appointments can start as early as February 1, 2024 but no later than September 1, 2024, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals who are less than seven years post attainment of their Ph.D. degree. NITMB Fellows will be part of a thriving intellectual community with no teaching obligations, allowing full dedication to groundbreaking research. There are opportunities to participate in NITMB-sponsored outreach programs. Candidates must apply by emailing their application documents to Nitmb_fellows(a)nitmb.org, and will be asked to provide the following documents: cover letter, curriculum vitae, list of publications and preprints, and a description of research interests to be pursued at the NITMB. In addition, at least three letters of recommendation must be received from faculty members or senior research scientists who are active in the field of study in question. These should be sent by email to nitmb_fellows(a)nitmb.org with the candidate’s last name in the subject line. The required materials and the letters of reference must be received by November 1, 2023. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The Universities’ Statements on Diversity are at https://www.northwestern.edu/diversity/about/mission-and-vision/ and https://provost.uchicago.edu/statements-diversity. Northwestern University and the University of Chicago are Affirmative Action/Equal Opportunity/Disabled/Veterans Employers and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the Universities’ Notices of Nondiscrimination. Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) Sept. 27, 2023

Sept. 27, 2023

***Apologies for multiple postings*** We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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Tenure-track Assistant Professor Position in Quantitative Methods (Psychology) at the University of Florida
by Steve Weisberg Sept. 26, 2023

Sept. 26, 2023

*Full link to job description and application: Apply Now! <https://explore.jobs.ufl.edu/en-us/job/528656/assistant-professor-in-psycho…> <https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&…>* The Department of PSYCHOLOGY at the UNIVERSITY OF FLORIDA, College of Liberal Arts and Sciences, invites applications for a full-time, nine-month, tenure-accruing, OPEN-AREA Assistant Professor with special emphasis in QUANTITATIVE METHODS, beginning August 16, 2024. We encourage applications from any research orientation in psychology and the position is open to candidates who employ a wide variety of methodological tools or approaches (including, but not limited to, computational modeling, statistics, artificial intelligence, structural equation modeling, multilevel modeling, network analysis, and longitudinal data analysis). Applicants will be expected to maintain an outstanding program of research with high potential for external funding, teach psychology graduate and undergraduate courses, advise students, and provide service to the institution. The Department of Psychology values interdisciplinary approaches to research and training, and strongly encourages collaboration across its five programs (behavior analysis, behavioral and cognitive neuroscience, counseling, social, and developmental psychology). An ideal candidate would bring methodological expertise that contributes to and enhances the research profile and extramural funding of one or more of these programs. For more information about our department see http://www.psych.ufl.edu and the University of Florida see https://www.ufl.edu. This search is also connected to a campus-wide effort by the University of Florida to expand the role of artificial intelligence in higher education and research (https://ai.ufl.edu) The University is home to HiPerGator, one of the most powerful high-performance computers at a US public university (https://www.rc.ufl.edu/about/hipergator/) A member of the prestigious Association of American Universities (AAU), the University of Florida is the state’s oldest and most comprehensive land-, sea-, and space-grant university, with an enrollment of over 50,000 students. In 2023, the University of Florida was ranked the first and sixth-best public university in the United States by *The Wall Street Journal* and *U.S. News & World Report*, respectively, with exceptional research, teaching, and a university-wide commitment to diversity. For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete application includes: 1. Cover letter that includes information regarding the candidate’s experience, interest, and expertise in Quantitative Psychology (1-2 pages) 2. Curriculum vitae 3. Statement of research interests and plans (2-3 pages) 4. Statement of teaching experience, interests, and philosophy (1-2 pages) 5. Up to three reprints or pre-prints 6. Contact information for three individuals who have agreed to provide a letter of recommendation (*letters will be requested for shortlisted candidates only*) Review of applications will begin on *October 15, 2023* and will continue until the position is filled. Questions about the position may be directed to Natalie Ebner and Greg Webster, search committee co-chairs at natalie.ebner(a)ufl.edu or gdwebs(a)ufl.edu. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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postdoc positions in cognitive control and brain-computer interface (UTSW Neurosurgery)
by Zhongzheng Fu Sept. 26, 2023

Sept. 26, 2023

Two postdoc positions are available in the laboratory of Zhongzheng Fu in the Department of Neurological Surgery, University of Texas Southwestern Medical Center. We study the neural mechanisms of cognitive control using mathematical modeling and human neurophysiology. We have several ongoing projects in the lab that include probing the network activity underlying cognitive control, the neuronal mechanisms for metacognition in decision making and artificial cognitive control. We aim to develop novel approaches to restore cognitive control in various psychiatric/neurological conditions, develop efficient brain-computer interface and ultimately enhance cognitive control in healthy individuals. Applicants who are intellectually curious and passionate about tackling challenging neuroscience problems using a combination of approaches (behavioral modelling, machine learning, intracranial recordings, neuromodulation, EEG/MEG) are encouraged to apply. Postdoctoral scientist in the lab will conduct cutting-edge research in a protected, interactive, highly collaborative, and well-funded environment, with access to state-of-the-art platforms such as intracranial recordings in various patient populations, EEG/MEG, high-performance computing sources. Qualifications for this position include Ph.D. or M.D. degree(s). Applicants who have excellent coding skills (python, MATLAB, R) and a strong background in statistics, machine learning, deep learning and signal processing are particularly encouraged to apply. Interested applicants should submit the following documents to Zhongzheng.Fu AT UTSouthwestern.edu 1. A Cover Letter describing your interest in this position. 2. A CV listing your education, training background, publications, awards, and skill sets. 3. Contact information for references For more information, please visit our lab website at https://zfu-lab.org. Zhongzheng Fu, Ph.D. Assistant Professor Department of Neurological Surgery, UT Southwestern Medical Center ________________________________ UT Southwestern Medical Center The future of medicine, today.

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Jobs at Flatiron Institute (CCN) and NYU (Center for Neural Science)
by SueYeon Chung Sept. 25, 2023

Sept. 25, 2023

Dear Colleague, The Neuro-AI and Geometric Data Analysis Lab at NYU and the Flatiron Institute (PI: SueYeon Chung) are seeking postdoc fellows, grad students, and a full-time research assistant. We have multiple positions with flexible start dates. Our lab is situated in the heart of downtown New York City, operating jointly at NYU's Center for Neural Science and the Center for Computational Neuroscience at the Flatiron Institute, a research institution within the Simons Foundation dedicated to computation. The lab is also affiliated with NYU’s Center for Data Science, Minds, Brains and Machines Initiative, CILVR group, and Cognition & Perception Program. Our current research focuses on the following areas, all geared towards analytically and phenomenologically connecting various levels of abstraction and scales in information processing within biological and artificial neural networks: 1. Neural Manifolds as a Population Coding Theory: - Objective: Develop a normative theory of neural population geometry, known as neural manifolds. - Aim: Create an analytical theory that establishes a connection between the structure in high-dimensional neural data and the underlying computational processes. - Toolkits: Statistical physics (*replica method, random matrix theory*), neural network and machine learning (theory & applications), convex optimization, high-dimensional geometry, and statistics. - Applicants with backgrounds in statistical physics, machine learning theory, and theoretical neuroscience are strongly encouraged to apply. 2. Neural Manifolds as a Data Analysis Method: - Objective: Employ the theory and methods of neural manifolds for neural data analysis. - Background: We welcome applicants with backgrounds in neuroscience and cognitive science who are familiar with a wide range of experimental datasets and various model systems. An interest in collaborating with cutting-edge theory subgroups is highly encouraged. 3. Deep Learning Theory for Neuroscience: - Objective: Apply analytical insights from deep learning theory to computational approaches in systems neuroscience. - Toolkits: Statistical physics (replica method, random matrix theory), machine learning theory and applications, high-dimensional statistics. Additionally, we are exploring frontier topics, including the theory of neural manifolds for causality in large language models, the theory of multitasking and cognitive control, and the theory of semantic/categorical hierarchies and knowledge representations. If you are passionate about advancing our understanding of the structure of information in neural systems, we encourage you to apply. We welcome theorists and computational neuroscientists across a range of backgrounds, such as *machine learning* (applications and theory), *theoretical/statistical physics*, *computer science*, *computational and systems neuroscience*, and *cognitive science*. Join us in this exciting journey at the intersection of neuroscience, computation, and theory. If interested, reach out with a CV, a brief description of research interests, and a list of references to sueyeon(a)nyu.edu or schung(a)flatironinstitute.org. (Please note that official job announcements from the Flatiron Institute will be widely circulated in the upcoming weeks, but we are scheduling candidate seminars on a rolling basis.) Best, SueYeon Chung Assistant Professor Center for Neural Science, New York University Center for Computational Neuroscience, Flatiron Institute, Simons Foundation Personal Website: https://sites.google.com/site/sueyeonchung/ Lab Website: http://www.sychunglab.org/

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YOUNG RESARCHER AWARD @ FRCCS 2024
by Hocine Cherifi Sept. 25, 2023

Sept. 25, 2023

*YOUNG RESARCHER AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/young-resarcher-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> *Submission deadline: April 24, 2023* The Young Researcher Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form <https://docs.google.com/forms/d/e/1FAIpQLSc7JjwOEPF0YYBRHWomS3o-fZ3YXu0a5QU…> or the Supporter nomination form <https://forms.gle/bkVFg9pUvt2f4K1p9> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 1000 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Bertalanffy Doctoral Student Award
by Hocine Cherifi Sept. 25, 2023

Sept. 25, 2023

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at the French Regional Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. <https://docs.google.com/forms/d/e/1FAIpQLSe49vdpumpzjVJJ7_mWgC5zKSLS1AqelD_…> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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The full schedule for the fourth Canadian Computational Neuroscience Spotlight is now available
by Scott Rich Sept. 25, 2023

Sept. 25, 2023

Dear Comp-Neuro Listserv, The schedule for the fourth Canadian Computational Neuroscience Spotlight (CCNS), including 40+ talks from trainees, is finalized and available here <https://ccnsmeeting.ca/#04-ccns-2023-program>. Along with these fantastic talks from young scientists, the keynote speakers for the meeting are Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. The meeting takes place next week, Thursday October 5-Friday October 6. Registration is completely free at https://www.crowdcast.io/c/ccnsv4, and the meeting will be entirely online. Please spread the word to anyone who might be interested in attending! Please don't hesitate to reach out if you have any questions about the meeting, and we look forward to seeing you there. Sincerely, Scott Rich

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2-year postdoc position in social neuroscience
by Bischofberger, Jasper Sept. 25, 2023

Sept. 25, 2023

2-year 100% postdoc position in social neuroscience at the Julius-Maximilians-Universität Würzburg (JMU) Würzburg, Germany The Translational Social Neuroscience Unit offers a position as a postdoctoral researcher (m/f/x) starting as soon as possible. We study the psychological and neurobiological processes underlying social interactions and decisions. In current studies, we investigate drivers of human social behavior such as empathy, social norms, group membership, and egoism, as well as the social modulation of anxiety and pain processing. We use neuroscientific methods (functional magnetic resonance imaging, electroencephalography) and psychophysiological measures (heart rate, skin conductance), combined with experimental paradigms from cognitive and social psychology and simulations of social interactions in virtual reality. Using smartphone-based surveys and mobile physiological sensors, we study social interactions in everyday life. As part of the Center of Mental Health and the Department of Psychiatry, Psychosomatic and Psychotherapy, we have access to 3T and 7T fMRI research scanners, TMS, EEG, a Virtual-Reality-Labor (CAVE), and to patients with different psychiatric conditions. We cherish a good working atmosphere and work as a team, but you will also be encouraged to develop and strengthen your own research profile. We seek a candidate with a background in psychology, social neuroscience, cognitive neuroscience or cognitive science with a successfully completed PhD. Ideally; you should have experiences with computational modeling (e.g., reinforcement learning models) and the respective software (e.g. MATLAB/ R programming). Experience with the collection and analysis of empirical date (ideally including neuroscience data) and excellent language skills in English and preferably also in German are required. The research topics are subject to the fits between the candidate’s research interests, expertise, and ongoing projects in the research group, particularly the DFG-funded research project on learning and intergroup processes. Based on personal qualification, employees are remunerated according to salary group E 13 TV-L. The position is initially limited until September 30, 2025 with the option for extension. Please contact Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) for questions about the position. The University of Würzburg is an inclusive, equal opportunity employer. Individuals with disabilities will be given priority, assuming equal qualifications, and are thus encouraged to apply. The University of Würzburg seeks to increase the number of women in those areas where they are underrepresented and therefore also explicitly encourages women to apply. Please send your applications including a motivation letter, research interests, CV (including publications if applicable), degree certificates and names of 2 referees by October 20th 2023 as a single PDF file to Prof. Dr. Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) with [postdoc TransSocNeuro] in the subject line. Bitte beachten Sie die Hinweise des Universitätsklinikums Würzburg zu Datenschutz<https://www.ukw.de/recht/datenschutz/>, Vertraulichkeit<https://www.ukw.de/recht/vertraulichkeit/> und Nachhaltigkeit<https://www.ukw.de/klinikumsleitung-und-verwaltung/stabsstelle-nachhaltigke…>!

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Machine Learning Summer School 2024 in Okinawa: Apply by Sept. 30, 2023
by Kenji Doya Sept. 25, 2023

Sept. 25, 2023

We are pleased to organize the Machine Learning Summer School 2024 at OIST: https://groups.oist.jp/mlss It will be from March 4th to 15th, and yes, we call it summer in Okinawa. The application deadline is September 30, 2023 (UTC). Please apply from here: https://groups.oist.jp/mlss/application Confirmed speakers: Pierre Alquier, ESSEC Marco Cuturi, ENSAE/Apple Kenji Doya, OIST Yu-Chiang Frank Wang, National Taiwan University/ NVIDIA Kenji Fukumizu, ISM Arthur Gretton, UCL Tatsunori Hashimoto, Stanford University Stefanie Jegelka, MIT Gitta Kutyniok, LMU Taiji Suzuki, University of Tokyo/RIKEN AIP Diyi Yang, Stanford University Amy Zhang, UT Austin Han Zhao, UIUC Target Audience: We aim to select 200 highly motivated participants. Our primary target audience consists of master and PhD students with a strong technical background in machine learning related research topics. A limited number of industry practitioners, professors, researchers, outstanding bachelor's students may also be considered. All participants are expected to have knowledge of programming in Python, a keen interest in machine learning, and familiarity with linear algebra, basic calculus, and basic probability and statistics. MLSS2024 organizers: Makoto Yamada (OIST) Masashi Sugiyama (U. of Tokyo / RIKEN AIP) Kenji Doya (OIST) Inquires: mlss2024(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Gatsby Unit PhD Programme 2024: Applications now open
by I-Chun Sept. 25, 2023

Sept. 25, 2023

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 13 November 2023 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Postdoc openings in the Savin lab at NYU
by Cristina Savin Sept. 22, 2023

Sept. 22, 2023

Applications are invited for two postdoctoral positions in the Savin group in the Centre for Neural Science and Center for Data Science at NYU. We have several ongoing projects focused on statistical modeling of population responses during complex behavior, with a focus on latent population dynamics, inter-area interactions, and causal interventions. In particular, in the context of a collaboration with the Angelaki lab, we are working on elucidating mechanisms of dynamic updating of beliefs in foraging tasks, using multi-area recordings in VR and freely moving monkeys. In a separate project, funded by the Brain Initiative, we are developing tools for single trial estimation of patterns of gain modulation, in collaboration with the Coen-Cagli group. These are joint endeavors across the pair of lab, with regular joint meetings and group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis until the position is filled. I will be at the Bernstein meeting next week and happy to answer questions. Cristina Savin Assist.Prof. in Neural Science and Data Science NYU

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PhD position - Comp. Neuro. - Navigation using episodic memo
by Vinita Samarasinghe Sept. 22, 2023

Sept. 22, 2023

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *If you are interested in this position and are attending the Bernstein Conference please get in touch directly with Sen Cheng at the conference.*** *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. Deadline remains open until the position is filled. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me 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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6 open rank positions in NeuroInformatics at UIUC
by Vlasov, Yurii A Sept. 20, 2023

Sept. 20, 2023

[cid:e26cf374-d29e-4fc1-9a41-a62369ce0a1c] Strategic Hiring Initiative: Neuroinformatics Cluster Hire The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire six (6) full-time tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website https://publish.illinois.edu/neuro-cluster/ Participating Departments The participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering; (4) Statistics; (5) Psychology; and (6) Molecular and Integrative Physiology. Areas of Interest We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets. Eligibility Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department. Application Instructions To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates. Please contact neuroinformatics(a)illinois.edu with any questions.

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CFP: FLAIRS37, Neural Network and Data Mining Special Track, Miramar Beach, FL, May 18-21, 2024
by David B Sept. 20, 2023

Sept. 20, 2023

*eural Networks and Data Mining* *Special Track at the **37th International FLAIRS Conference* <https://www.flairs-37.info/home> * Miramar Beach, Florida,** May 18-21, 2024* *Abstract Due Date: January 22 , 2024* *Submission Due Date: January 29 , 2024* *Paper acceptance notification: March 11, 2024 * *Camera ready version : April 8, 2024 * *Call for Papers* 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): Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy; Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic ; Acceleration of neural network modeling via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. *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-37.info/call-for-papers) and be submitted as a PDF through the EasyChair <https://easychair.org/conferences/?conf=flairs37> 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. *Cochairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program committee*: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chandrashekar Muniyappa (Upgrade Inc, USA) Yoni Fridman (Verizon Business Solutions, USA) Diane Cook (Washington State University, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Olac Fuentes (University of Texas at El Paso, USA) Lawrence Holder (Washington State 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) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Ramesh Paudel (Sysco Corp, USA) Prabin Lamichhane (Tennessee Tech University, USA) Hyoil Han (Illinois State University, USA)

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PhD position: Effects of music on sleep EEG
by Martin Dresler Sept. 20, 2023

Sept. 20, 2023

Hi, Within the Lullabyte.org consortium, one additional PhD position needs to filled, combining neuroscience, musicology and AI. The project will investigate the effects of generative music on sleep, as measured by wearable sleep EEG. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network Lullabyte.org, working on the intersection of musicology, sleep research, and AI. It will be mostly based at Endel.io in Berlin, with secondments to the Technical University Dresden and the Donders Institute in Nijmegen/NL. Requirements: strong skills in music research and experience in neuroscience, with a master degree or equivalent in one of the following (or related) fields: musicology, music technology, computer music, neuroscience, psychology. Application until 24 September 2023, starting date as soon as possible. Please send your applications including a brief (1-2 pages) motivation letter, CV, and contact information for two references to miriam.akkermann(a)tu-dresden.de Cheers, Martin Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Opening for a postdoc/research associate in theoretical neuroscience at LMU Munich
by Andreas Herz Sept. 20, 2023

Sept. 20, 2023

The Herz-Lab at LMU Munich has an opening for a postdoc/research associate in theoretical neuroscience. The lab focuses on a range of topics related to the neural basis of spatial navigation. Potential projects include the study of experimental data provided by collaboration partners, computational modeling at the network level, as well as mathematical theory. A solid background in nonlinear dynamics and/or theoretical physics is expected, and a willingness to go off the beaten track is encouraged. We are located on the vibrant Martinsried-Campus of LMU, next to the Max-Planck-Institute for Biological Intelligence (MPI-BI). The Herz-Lab forms part of the Bernstein Center for Computational Neuroscience Munich (BCCN), the Graduate School for Systemic Neuroscience (GSN), and the Munich Center for Neuroscience (MCN). For details, please get in touch with me via [ mailto:herz@bio.lmu.de | herz(a)bio.lmu.de ] or meet me at the 2023 Bernstein Conference in Berlin. Best regards Andreas Herz Further information: Herz-Lab [ http://neuro.bio.lmu.de/research_groups/res-herz_a | neuro.bio.lmu.de/research_groups/res-herz_a ] BCCN [ http://www.bccn-munich.de/ | www.bccn-munich.de ] GSN [ http://www.gsn.uni-muenchen.de/ | www.gsn.uni-muenchen.de ] MCN [ http://www.mcn.uni-muenchen.de/index.html | www.mcn.uni-muenchen.de/index.html ] MPI-BI [ http://www.bi.mpg.de/en | www.bi.mpg.de/en ]

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SNUFA 2023 abstract submission closing soon (deadline Sept 29)
by Friedemann Zenke Sept. 20, 2023

Sept. 20, 2023

Dear all, For those interested in spiking neural networks, this is a reminder that the SNUFA 2023 submission deadline for contributed talks and posters is closing soon (deadline Sept 29, 2023). SNUFA is an annual online workshop focused on spiking networks as universal function approximators. It brings together computational neuroscience, machine learning, and neuromorphic engineering researchers. Topics include, but not limited to, artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Invited speakers this year are Rodolphe Sepulchre (KU Leuven and University of Cambridge), Melika Payvand (INI, Zurich), Gabriel Ocker (Boston University), and Jeff Krichmar (UC Irvine). For details, see https://snufa.net/2023/ Hope to see you there. Kind regards on behalf of the organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke

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Final call for Mathematics of Neuroscience Conference: 28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece.
by Battleday, Ruairidh Sept. 20, 2023

Sept. 20, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Final call for general attendance and poster sessions —---------------- One week left before this year’s conference on the mathematics of neuroscience, and last chance to register for general attendance or to present a physical or virtual poster: www.neuromonster.org The line up is looking fantastic, and thank you to everyone that made a submission. Fortunately, flights and accommodation are still reasonably cheap! In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Professor Volker Tresp (Munich) Professor Daniel Graham (HWS) Professor Marcelo Bertalmío (SNRC) Professor Mayank Kejriwal (USC) Dr Thomas Parr (UCL) Dr Andreea Bobu (MIT) Dr Ilias Rentzeperis (SNRC) Dr Steeve Laquitaine (The Swiss Federal Institute of Technology) Dr. Panagiotis Mougkogiannis (UWE) Dr Jonathan V. Gill (NYU) Dr Tommaso Salvatori (Verses.ai) Dr Charles Cohen (Fidelis.ai) Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision) Dr Michael Popov (OMCAN network) Dr Sunder Bukya (University of Hyderabad) Shirin Vafaei (Osaka University) Arvind Saraf (Attention Tag) Shivang Rawat (NYU) Jay Verma (University of Delhi) Declan Campbell (Princeton University) Tyler Giallanza (Princeton University) Carol Upchurch (Louisiana State University) Francesco Guido Rinaldi (SISSA) Hang Li (LMU Munich) Simon Frieder (Oxford) Sabahaddin Taha Solakoglu (Hacettepe University) Hanna Derets (University of Waterloo) Jia Li (KU Leuven) Rahul Jain (Pomona College) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Multiple Tenure-Track Faculty positions at University of Oregon
by Luca Mazzucato Sept. 19, 2023

Sept. 19, 2023

The University of Oregon is seeking candidates for multiple tenure-track faculty positions at the Assistant Professor level in data science, statistics, and applied math—one in the Math department and two in UO's new Data Science Department. We encourage applications from candidates working in Computational Neuroscience and Artificial Intelligence as well as other data science-related fields, and we particularly welcome applications from candidates from underrepresented backgrounds. UO's vibrant neuroscience community includes our Institute of Neuroscience <https://ion.uoregon.edu/>, the NeuroAI Center <https://ion.uoregon.edu/neuroai>, and the International Network for Bio-Inspired Computing <https://urldefense.com/v3/__https://www.in-bic.org/__;!!C5qS4YX3!EH7D1JvIbA…> . Please circulate the two job advertisements below to any potential applicants at your institution who may be interested. -- *Assistant Professor of Mathematics* https://www.mathjobs.org/jobs/list/22919 <https://urldefense.com/v3/__https://www.mathjobs.org/jobs/list/22919__;!!C5…> The University of Oregon’s Mathematics Department invites applications for a tenure-track Assistant Professor position, to begin in fall 2024. Successful candidates will be working at the interface of mathematics with statistical inference, machine learning, and/or related areas of data science. They will have a record of research excellence, potential for excellent teaching, and a commitment to promoting an inclusive community. While this position will be in the Mathematics Department, we value the ability to interact with other units on campus, including (but not limited to) the School of Computer and Data Sciences, the Department of Biology, the Institute of Neuroscience, and the Knight Campus for Accelerating Academic Impact. We welcome applicants with a wide range of academic backgrounds. Questions about this search can be directed to James Murray (jmurray9 at uoregon dot edu). -- *Assistant Professor of Data Science* https://academicjobsonline.org/ajo/jobs/25568 <https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/25568__…> We enthusiastically invite multiple interdisciplinary researchers to join our newly established Department of Data Science as tenure-track faculty colleagues. We invite applications from researchers working in Data Science, broadly defined, including those working in other domains who contribute to data analysis methodology for that domain (e.g., methods and/or applications of artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc) as well as those whose research focuses directly on the methodology itself (e.g., computer science or statistics). We are building the Data Science department to center justice, diversity, equity, and inclusion (JDEI), in our department's research, teaching, and organization. Strong faculty candidates will therefore have demonstrated impactful contributions to JDEI. We encourage applications from candidates with a history of collaboration with domain experts. Questions about this search can be directed to Luca Mazzucato (lmazzuca at uoregon dot edu).

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Two faculty positions at the University of Miami (Department of Psychology)
by Mingbo Cai Sept. 19, 2023

Sept. 19, 2023

The Department of Psychology at the University of Miami, a private institution in a diverse and metropolitan city, invites applications for two full-time, tenure-eligible, or tenure-track faculty members to join our department in August 2024. One position is in the department’s Adult Division, and the other is the Cognitive & Behavioral Neuroscience division. *Adult Division - *The specific area is open. Area(s) of focus could include, but are not limited to, basic research on affect, cognitive science, and/or mechanistic studies related to mental health or the impact of disparities. We also welcome outstanding scholars with expertise in one or more of the following methods, including lab-based experimental, neurophysiological, computational, and/or mobile health/digital phenotyping. Individuals with interests in data science, including advanced quantitative techniques, big data, and machine learning are also encouraged to apply. *Cognitive & Behavioral Neuroscience Division - *The specific area is open, but we are particularly interested in individuals who incorporate innovative and sophisticated cognitive, affective, or social neuroscience methods into their research program. Candidates must hold a Ph.D. (non-clinical or clinical) by the appointment start date. Applications will be considered at the rank of Assistant Professor and Associate Professor level. Appointment is expected to start on August 15, 2024. Applications can be submitted via the UM Careers website – Adult Division posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> and Cognitive & Behavioral Neuroscience posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> . Review of applications will begin on October 1, 2023 and continue until the position is filled. Inquiries, requests for information, and nominations can be sent to the Search Committee Chairs (Adult – Kiara Timpano k.timpano(a)miami.edu; Cognitive & Behavioral Neuroscience – Aaron Heller aheller(a)miami.edu) *------------------------------ * The University of Miami is an Equal Opportunity Employer – Females, Minorities, Protected Veterans, and/or Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here <https://www.hr.miami.edu/careers/eo-ada/index.html> for additional information.

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Postdoctoral positions for CRCNS project on Role of ACh on Memory
by Alex Roxin Sept. 19, 2023

Sept. 19, 2023

*Call for one experimental and one theoretical postdoctoral position in the framework of a collaborative (US/Spain) CRCNS project on the role of acetylcholine on memory.* The Wang lab at the Max Plack Florida Institute for Neuroscience, and the Computational Neuroscience group at the Centre de Recerca Matemàtica (Barcelona, Spain) are looking for postdoctoral researchers for an experimental-theoretical collaboration to shed light on the role of acetylcholine (ACh) in the formation and long-term dynamics of memory in rodents. This collaborative project will combine large-scale two-photon imaging recordings of in-vivo neuronal and ACh dynamics (Wang lab), with computational modeling and analysis (Roxin group) to investigate the role of ACh in the emergence of internally generated sequences in hippocampal CA1 cells. We will furthermore track the long-term dynamics of the resulting patterns of neuronal activity to characterize the degree of representational drift and elucidate the underlying mechanisms through network modeling. *Call for Experimental Postdoctoral Researcher*: The experimental postdoctoral position will be based at the Max Planck Florida Institute for Neuroscience, in the laboratory of Yingxue Wang.The ideal candidates should have a background in neuroscience or related field, and are interested in understanding the neuronal mechanisms of learning and memory. Previous experience with electrophysiology and/or two-photon imaging in behaving animals, quantitative data analysis and computer programming is highly preferred. Excellent communication skills and the ability to work well in a team are required. The three year project will begin immediately. Max Planck Florida Institute for Neuroscience is part of the Jupiter Neuroscience Research Campus which also includes UF Scripps Biomedical Research and Florida Atlantic University. It provides a flourishing interdisciplinary research environment for neuroscience. We offer outstanding benefits and salary compensation above the NIH scales. Interested candidates are encouraged to contact Yingxue Wang at Yingxue.Wang(a)mpfi.org. *Call for Theoretical Postdoctoral Researcher*: The theoretical postdoctoral position will be based at the Centre de Recerca Matemàtica, located on the campus of the Universitat Autònoma de Barcelona, Bellaterra, Spain. The postdoctoral researcher will combine the analysis of experimental data from the Wang Lab with computational modeling in order to study the physiological and network mechanisms underlying memory formation and representational drift. This work will involve large-scale numerical simulation as well as network analysis using methods from dynamical systems theory and statistical physics. Strong coding and mathematical skills are a must. This is a three-year position which is expected to begin in early 2024. Interested candidates should contact Alex Roxin at alexander.roxin(a)gmail.com. This project is jointly funded by the National Institutes of Health (USA) and the Agencia Estatal de Investigación (Spain) in the framework of Collaborative Research in Computational Neuroscience program (CRCNS). As such, the experimental and theoretical teams will work closely together, including regular online meetings and an annual in-person meeting to be held alternatingly in Florida and Barcelona. The postdoctoral researchers will be expected to work in a collaborative fashion with members of both teams to ensure a unified research effort. -- Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) https://sites.google.com/site/alexanderroxin/home

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post-doc position, RL and Comp Neuro, Moreno-Bote and Jonsson Labs
by Ruben Moreno Bote Sept. 19, 2023

Sept. 19, 2023

*Post-doctoral position* *Reinforcement Learning and Computational Neuroscience, Moreno-Bote and Jonsson Labs* *University Pompeu Fabra, Barcelona, Spain* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab and the group of Artificial Intelligence and Machine Learning of Anders Jonsson. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background. The publication record of the candidate should be very strong in their respective discipline. The candidate will develop state of the art theory and models of RL inspired by computational neuroscience to understand natural behavior based on reward-free approaches. Related papers on the focus of the project are: [2205.10316] Seeking entropy: complex behavior from intrinsic motivation to occupy action-state path space (arxiv.org) <https://arxiv.org/abs/2205.10316> [2302.01098] A general Markov decision process formalism for action-state entropy-regularized reward maximization (arxiv.org) <https://arxiv.org/abs/2302.01098> The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. TCN lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by MdM and salary is competitive. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: until the position is filled STARTING DATE: any time between November 2023 and April 2024 -- Rubén Moreno Bote Serra Húnter Full Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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Post-doc in Paris (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard Sept. 18, 2023

Sept. 18, 2023

A 18-month postdoc position is opened at the Institute of Intelligent Systems and Robotics (ISIR, Sorbonne Université & CNRS). We are looking for a young and enthusiast researcher trained in computational neuroscience or neuro-robotics to develop a computational model of catatonia. It is based on a new theory and preliminary results obtained in the lab (Aubin et al., 2022), dealing with the study of alteration of dynamic regimes observed in models of cortico-baso-thalamo-cortical loops. Results obtained with a population model have to be reproduced and extended with a spiking model, as well as connected to motor control module so as to investigate the motor symptoms of catatonia. The position could start as soon as a candidate is found. The project builds on an ongoing collaboration between Benoît Girard (ISIR, computational neuroscience), David Cohen (ISIR and Pitié-Salpêtrière Hospital, clinical expertise) and Ghilès Mostafaoui (ETIS at Cergy-Pontoise Université, robotics and motor control) Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information. Aubin, L., Batailley, B., Raffin, M., Mostafaoui, G., Cohen, D. and Girard B. (2022) Exploration of the respective roles of cortex and basal ganglia in catatonia with a computational model. Poster presented at FENS2022 and NeuralNet2022. -- Benoît Girard, ISIR, Sorbonne Université/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Sept. 17, 2023

Sept. 17, 2023

Dear all, Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here:https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research… <https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…>

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Postdoctoral Position in Deep Learning/Computer Vision with a Focus on 2D Pose Estimation
by Majid Mohajerani Sept. 15, 2023

Sept. 15, 2023

Position Overview: The Mohajerani lab (https://douglas.research.mcgill.ca/majid-mohajerani/) at McGill University is seeking individuals with expertise and experience in video analysis to fill a postdoctoral position that will span three years, ideally starting in November-December 2023. The Postdoctoral position will be based in the vibrant city of Montreal, offering an exceptional quality of life with its rich cultural diversity, culinary delights, and dynamic arts scene. As part of this role, you will work at McGill University, known for its world-class research and academic excellence, providing an intellectually stimulating and inspiring environment for your career growth. The preferred candidate for this Postdoctoral opportunity should hold a Ph.D. in deep learning, computer vision, engineering, or a related field, along with a distinguished research track record. A solid foundation in machine learning, artificial intelligence, and data mining is essential. Proficiency in programming, analytical problem-solving skills, and strong organizational capabilities are prerequisites. Previous hands-on experience with deep neural networks is obligatory. We are searching for a dedicated researcher who thrives on tackling challenges and possesses expertise and enthusiasm for developing video analysis techniques utilizing deep learning methodologies. The recruited candidate will be responsible for conducting research within the PREMIERE project and for participating in the related Work Package activities. The successful candidate must possess a collaborative spirit, as this role involves cooperation with multiple institutions and investigators. Key qualifications: - Strong expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, or Keras). - Demonstrated expertise in applying Recurrent Neural Networks (RNNs), Transformers for temporal sequence analysis, or hybrid models such as Convolutional-LSTM architectures. - Experience in research and/or development for action recognition, body pose and motion estimation, multi-objects tracking, activity recognition, scene understanding, etc. - Expert knowledge of the principles, algorithms, and tools of deep learning, including models, training strategies, training dataset building, loss functions, quality metrics, etc. - Excellent communication and collaboration skills. How to Apply: If you’re passionate about machine learning and want to work in a dynamic and exciting environment, please apply with your resume and a cover letter describing your relevant experience and why you’re the right fit for this role. We strive to ensure that our team is diverse, equitable, and inclusive. All qualified applicants, including women and members of visible minority groups, are welcome to apply. The application review will start on Oct 15th till the positions are filled. If you meet all the requirements, please fill out the following form. https://docs.google.com/forms/d/e/1FAIpQLSe6jDyhrjyE8nFVSokgn3vWpzEjfLhUi83…

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Tenure track faculty position Cognition and Cognitive Neuroscience Psychology at UMass Amherst
by Tejas Savalia Sept. 15, 2023

Sept. 15, 2023

Dear all, The Department of Psychological and Brain Sciences at the University of Massachusetts, Amherst (http://www.umass.edu/pbs/) is inviting applications for a tenure track, academic year, faculty position at the Assistant Professor level in its Cognition and Cognitive Neuroscience Psychology program, starting in Fall 2024. We are seeking outstanding applicants with expertise in any area of cognitive psychology or cognitive neuroscience, including interdisciplinary fields connected to cognitive psychology, whose work complements and broadens existing strengths in our program. We are known for interdisciplinary and cross-area collaborations and innovation. The program has current strengths in attention, decision-making, psycholinguistics, and mathematical modeling, with connections to our Behavioral Neuroscience, Clinical Psychology, Developmental Science, and Social Psychology programs. Across the university, our faculty have strong connections to Linguistics, Information and Computer Sciences, and Speech, Language, and Hearing Sciences, as well as the Initiative in Cognitive Science, the Computational and Social Science Institute, the Institute for Diversity Sciences, and the Institute for Applied Life Sciences. The Department is interested in candidates who have demonstrated the ability to contribute to the inclusive excellence and diversity mission of the department, college, and university in research, teaching, and/or outreach. Requirements - Applicants must have a Ph.D. in Cognitive Psychology or a closely related field at the time of appointment. - A developing record of demonstrated excellence in research consistent with an early career stage. - Strong methodological skills and a theoretically-based research program. - Demonstrated ability or strong promise of extramural funding. - A strong commitment to undergraduate education, graduate training and mentoring, and diversity and inclusion. About UMass Amherst UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region. Application Instructions Along with the application, please submit a cover letter, curriculum vitae, statement of research interests, statement of teaching philosophy, statement of contributions and future plans to diversity, equity and inclusion (see below), samples of representative research papers, and contact information for three (3) professional references. We will begin to review applications on October 1, 2023, and will continue to accept applications until the position is filled. Please submit materials online to: http://careers.massachusetts.edu/cw/en-us/job/520191?lApplicationSubSourceI… As part of our commitment to supporting our multicultural community, we seek an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations. The statement of contributions to diversity, equity, and inclusion should identify past experiences and future goals. These contributions may result from lived experiences, scholarships, and/or mentoring, teaching, and outreach activities. (https://www.cns.umass.edu/diversity-equity-inclusion) The University is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University’s goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual’s record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic career and degree. Best, Tejas Savalia

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Fwd: CFP: UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine Sept. 15, 2023

Sept. 15, 2023

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon's reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules. Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. *Check our Call For Papers <https://unireps.org/call-for-papers/> below. * *For any additional information check our website <https://unireps.org/>, Twitter profile <https://twitter.com/unireps>, Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>, or contact us at unireps.organizers(a)gmail.com <unireps.organizers(a)gmail.com>.* Call For Papers Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. Topics A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs Important Dates - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 Tracks Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop. Paper FormatThe full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>.

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Postdoc on Dravet syndrome modeling (Inria, BCAM, Achucarro)
by desroche Sept. 15, 2023

Sept. 15, 2023

Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo, Pierre Del Moral, Mathieu Desroches and Serafim Rodrigues. The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://jobs.inria.fr/public/classic/en/offres/2023-06688 Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Centre Inria d'Université Côte d'Azur, France https://www-sop.inria.fr/members/Mathieu.Desroches/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Sept. 15, 2023

Sept. 15, 2023

Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here: https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) Sept. 14, 2023

Sept. 14, 2023

We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren Sept. 14, 2023

Sept. 14, 2023

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings. In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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[jobs] 3.5-year PhD Scholarship in Human-like performance in neuromorphic robots
by Di Nuovo, Alessandro Sept. 14, 2023

Sept. 14, 2023

All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> About the Project This scholarship is to support the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition, and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. This PhD project will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. Background Humans can learn faster with less data by reducing surprise or uncertainty by making predictions based on internal models. Indeed, neurophysiology and developmental psychology increasingly highlight the embodied nature of intelligence, which is shaped the experiences acquired through the body, such as manipulatives, gestures, and movements. To overcome the current limitations, the research methodology will adopt the developmental neuromorphic approach with cognitive agents that are embodied in humanoid robotic platforms. Developmental robotics fundamentally differs from traditional machine learning as it targets task-independent self-determined learning via interaction with the environment rather than task-specific inference over selected, human-edited sensory data. It also differs from traditional cognitive robotics because it focuses on the processes that allow the formation of cognitive capabilities rather than these capabilities themselves. Neuromorphic computing investigates large-scale processing systems that support natural neuronal computations through spike-driven communication to imitate the efficient neuro-synaptic framework of the physical brain. Compared to traditional approaches, key advantages of neuromorphic computing are energy efficiency, execution speed and robustness against local failures. Eligibility Candidates should have (or expect to obtain before the start of the PhD) a minimum of an upper second-class honours degree (2.1) or equivalent in Computer Science, Neuroscience, or a closely related subject. To be eligible for a waiver of the international fees, candidates should have a strong Master's degree and/or scientific publications on the subject of the research project. For further details on entry requirements, please click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> How to apply All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. We strongly recommend you contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. Start date for studentship: February 2024 Interviews are scheduled for: TBC

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looking for a postdoc on modeling / optimization of brain stimulation
by Dana Brooks Sept. 14, 2023

Sept. 14, 2023

Postdoctoral Research Fellow at UMass Boston A postdoctoral fellow position is available in the Brain Stimulation & Simulation Lab <https://www1.coe.neu.edu/%7Erampersad/index.html>, directed by Dr. Sumientra Rampersad, in the Department of Physics at the University of Massachusetts Boston. Our lab focuses on investigating electromagnetic brain stimulation through computational methods and experiments with healthy volunteers. This position is funded by a newly awarded 5-year NIH R01 <https://reporter.nih.gov/project-details/10719222> grant with the goal to investigate a novel form of brain stimulation called transcranial temporal interference stimulation (TIS) and to optimize and translate it into an effective and efficient neuromodulation method for academic research and clinical practice. The fellow will develop novel optimization methods for high-density TIS and supervise a PhD student who will conduct simulations and optimizations using finite element modeling. The goal is to provide noninvasive and spatially specific treatment options to patients with brain disorders resistant to existing approaches. You will join a multidisciplinary team with expertise in computational modeling and optimization, human and primate electrophysiology, cellular and systems neuroscience, and biomedical engineering. You will also have the opportunity to work on other cutting-edge projects involving several brain stimulation methods including tCS, TMS, ECoG, sEEG and TTF (see lab website <https://www1.coe.neu.edu/%7Erampersad/index.html> for examples). Our collaborators at Northeastern University, the University of Utah, Harvard University, MGH, and the University of Washington, provide us access to specialized software and unique clinical data. The fellow will be mentored by Dr. Rampersad (UMass Boston) and Dr. Dana Brooks (Northeastern). This is an outstanding career development opportunity to work with leaders in the field of brain stimulation with an exceptional record of collaboration and mentoring. Required qualifications include a PhD in physics, math, electrical, biomedical engineering, or equivalent, expertise in either brain stimulation modeling or computational optimization methods (preferred both), a track record of conference presentations and peer-reviewed publications, strong verbal and written communication skills, and proficiency in Matlab or Python. This is a one-year appointment with the possibility of extension provided satisfactory progress is made. To apply, send a cover letter and CV to Dr. Rampersad (sumientra.rampersad(a)umb.edu) with the subject “TIS postdoc”. Please describe in detail your experience with optimization, brain stimulation, FEM, coding, project management, and mentoring students.

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Faculty postion at Harvard bridging computational neuroscience and AI
by Blum, Kenneth I. Sept. 13, 2023

Sept. 13, 2023

The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member working across the fields of computational neuroscience and a machine learning approach to AI. Please forward this information to any interested candidates. Applications should be submitted to this site: https://academicpositions.harvard.edu/postings/12751. ***** HARVARD UNIVERSITY CENTER FOR BRAIN SCIENCE and KEMPNER INSTITUTE FACULTY POSITION The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member to lead an innovative research program working across the fields of Computational Neuroscience and Machine Learning to discover how brain computation can benefit artificial systems and how principles of computation and learning in artificial systems can be used to understand the brain. Current faculty use a variety of approaches to learn how brains compute and govern cognition and behavior. The successful candidate will be appointed an Institute Investigator within the Kempner Institute and will hold an academic appointment in an appropriate department in the life or physical sciences in the Faculty of Arts and Sciences at Harvard University. A full list of potential departments can be found here: science.fas.harvard.edu/pages/about<https://science.fas.harvard.edu/pages/about>. CBS (cbs.fas.harvard.edu<https://cbs.fas.harvard.edu/>) fosters interactions across disciplinary boundaries—faculty from several academic departments have neighboring labs and share common research facilities and meeting space; its connections also reach out across the University. The Kempner Institute (harvard.edu/kempner-institute<https://www.harvard.edu/kempner-institute/>) is building a community of scholars, who work across boundaries and fields to advance our understanding of intelligence, broadly speaking. Investigators will join a dynamic community of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives. A doctoral degree in the life and physical sciences, or a related discipline is required by the time the appointment begins. Candidates should have demonstrated excellence in both research and teaching. A strong doctoral record is required and postdoctoral experience preferred. Teaching will include offerings at both undergraduate and graduate levels. To apply, please use this link to submit a cover letter; curriculum vitae; three-page research statement; statement of teaching and advising philosophy; statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas; and up to three publications: https://academicpositions.harvard.edu/postings/12751. Please also submit contact information, including email addresses, for 3-5 people who will be asked by a system-generated email to upload a letter of recommendation once the candidate’s application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received. At least one letter must come from someone who has not served as the candidate’s undergraduate, graduate, or postdoctoral advisor. We will begin considering applications as they are received, but all materials, including letters of reference, should be submitted by October 15, 2023. Note that there are three additional faculty searches ongoing currently with the Kempner Institute at Harvard University. One is in partnership with Psychology, another with Computer Science, and a third with Applied Mathematics. If applying to more than one, please read the search criteria carefully. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines. We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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Open faculty position in "cognition" at the University of Rochester
by Jacobs, Robert Sept. 13, 2023

Sept. 13, 2023

See the job ad below for an open faculty position in "cognition" at the University of Rochester. People interested in computational modeling are strongly encouraged to apply. Tenure-track Assistant Professor in Human or Animal Cognition The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Animal or Human Cognition. Appointment will be at the tenure-track Assistant Professor level. We particularly welcome applications from candidates researching cognition through non-invasive behavioral, computational or neuroimaging methods. Animal researchers may be either field or laboratory based. Areas of study may center on any aspect of cognition, with an emphasis on higher-level cognitive processes such as decision-making, learning and memory, concepts, communication and language, reasoning, metacognition, and collective cognition. Successful candidates will develop a research program that establishes novel collaborations within the department and across the university, and will also be part of a university–wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/<http://www.bcs.rochester.edu/index.html>). It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, comparative cognition, psychology, neuroscience, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement of commitment to advancing equity and fostering an inclusive and diverse community, including past work and future goals, and contact information of three referees via the following website: https://www.rochester.edu/faculty-recruiting/positions/show/16192 . Questions concerning this position can be addressed to Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the search committee, or Prof, Duje Tadin (dtadin(a)ur.rochester.edu<mailto:dtadin@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Review of applications will begin on November 6, 2023 and continue until the position is filled. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. Salary: $105,000 – $110,000 (9 month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. EOE / Minorities / Females / Protected Veterans / Disabled

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI
by Di Nuovo, Alessandro Sept. 13, 2023

Sept. 13, 2023

Sheffield Hallam University is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. SHU unit will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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2 year Post Doc position @University of Padova - LIPh group - Dr. Michele Allegra
by Samir Suweis Sept. 13, 2023

Sept. 13, 2023

We are looking for a strongly motivated young scholar for a two-year Post-doctoral position at the Physics Department, University of Padova within the LIPh Lab https://www.liphlab.com/. The post-doc will work with Dr. Michele Allegra, but also in close contact with Prof. Dal Maschio’s Lab (Department of Biomedical Sciences, Unipd) and in collaboration with Dr. Pietro Rotondo (Department of Mathematical, Physical and Information Sciences, University of Parma). The post-doc will combine data analysis and modeling to investigate low-dimensional manifolds in neural activity, comparing real data from zebrafish and computational models based on artificial neural networks (a more detailed description of the project is provided below). The position will be fully funded by the National Interest Research Project (PRIN) “Unveiling the role of low dimensional activity manifolds in biological and artificial neural networks”, which also includes funding for traveling. Candidates should have a PhD in Physics, Computational Neuroscience or a related subject. Advanced computational skills (including solid experience with Matlab or Python programming) and data analysis experience are mandatory. Previous experience with neural data is highly welcome. Starting date: as soon as possible. For further info: Michele Allegra <michele.allegra(a)unipd.it> ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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post-doc position offer on computational analysis of neuroimaging data
by GILSON Matthieu Sept. 13, 2023

Sept. 13, 2023

URL REFERENCE: https://matthieugilson.eu/positions/Post-Doc_neuroimaging_biomarkers.html JOB TITLE Post-doctorate position to study diagnosis of multimodal neuroimaging data for amyotrophic lateral sclerosis RESEARCH FIELDS Data Science, Neuroimaging, Neurology, Computational Neuroscience PROJECT DESCRIPTION The project aims to develop and test prediction tools for clinical diagnosis from neuroimaging data, with pipelines covering data preprocessing and machine-learning representational techniques. The focus is on amyotrophic lateral sclerosis (ALS), a rare neurodegenerative disease for which no efficient treatment exists. A particular goal is to test the possibility of stratifying ALS patients in subtypes with slow versus fast disease progression. It is based on a dataset of 30 ALS patients and matched controls, acquired on 7T and 3T magnetic resonance imaging (MRI) scanners, which is currently being extended. Specifically, this dataset involves advanced MRI techniques that are promising for neurodegenerative diseases: quantitative and sodium MRI modalities, in addition to usual structural and functional MRI. We thus plan to build a multimodal prediction pipeline such as to test the combination of distinct types of MRI data (graph/network fusion) for clinical prediction. It also includes an international collaboration and aims to compare ALS datasets acquired in different centers. The position lies at the intersection between clinical research in a hospital and a neuroscience laboratory, aiming to bridge the different research cultures from both sides. We provide an interdisciplinary environment with a team of experts in the following fields: • computational neuroscience with Matthieu Gilson (https://matthieugilson.eu) and Xenia Kobeleva (https://xenia-kobeleva.com/) • MRI techniques with Wafaa Zaaraoui (https://crmbm.univ-amu.fr/contact/zaaraoui-wafaa) • neurology with Aude-Marie Grapperon (https://loop.frontiersin.org/people/593696) and again Xenia Kobeleva. JOB OFFER The position consists of 2 contracts for a total duration of 18 months (full time, 35 hours / week), because of combining two sources of funding. The monthly net salary is between 2000 to 2500 euros depending on previous working experience. The work place is at the Institut de Neurosciences de la Timone (INT, https://int.univ-amu.fr) and Center for Magnetic Resonance in Biology and Medicine (CRMBM, https://crmbm.univ-amu.fr) both part of Aix-Marseille University (France). Start date: October 2023 REQUIRED QUALIFICATIONS AND PROFESSIONAL SKILLS We are looking for a candidate that can demonstrate sufficient experience at the PhD level and knowledge in data analysis for neuroscientific data for reaching the project objectives. We seek profiles with solid programming skills in Python (or an equivalent language) combined with a background in the field of neurology. Experience in clinical neuroimaging, markers for neuropathologies and/or computational neuroscience will be favored. Additionally, experience with working in a interdisciplinary team and interest for open science are desired. Women are strongly encouraged to apply. The candidates will also be evaluated on their motivation, with respect to all steps of the process from data acquisition to analysis and scientific communication. CONTACT AND REQUESTED DOCUMENTS Please send a curriculum vitae summarizing your academic and professional trajectory, as well as a motivation letter, to: matthieu.gilson(a)univ-amu.fr -- Matthieu Gilson Chaire de Professeur Junior Aix-Marseille Université Institut de Neurosciences de la Timone https://matthieugilson.eu

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*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) at UC Irvine
by Jeffrey L Krichmar Sept. 12, 2023

Sept. 12, 2023

*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) When: September 9-12, 2024 Where: The University of California, Irvine, Irvine CA, USA Website: https://sites.uci.edu/sab2024/ The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in “From Animals to Animats 17. SAB 2024.” Lecture Notes in Computer Science, Springer. Typical, but not exclusive, topics of interest are: - Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures - Philosophical Issues o Consciousness o Ethics o Mind/Body problem - Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics - Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication IMPORTANT DATES (tentative): Paper submission deadline: April 1, 2024 Workshop and Tutorial proposals submission deadline: April 15, 2024 Notice of acceptance: June 30, 2024 Camera-ready papers: July 15, 2024 Conference dates: • Workshops and Tutorials: September 9, 2024 • Main Conference: September 10-12, 2024 ABOUT THE SAB CONFERENCE: SAB started in 1990 (Paris, 24-28 September 1990). After years of great success, SAB has given birth to numerous other conferences (on genetics algorithms, reinforcement learning, swarm intelligence, bio-inspired systems, developmental robotics, etc.). In the forthcoming 17th edition, we want to both celebrate this prior success and expand into trending research areas. Since SAB is held every two years, we want to strengthen the conference as a place to discuss the new trends in all relevant areas from the people bringing breakthrough ideas and results. SAB will continue to have a single-track format, to propose self-critical, thought-provoking, and nurturing discussions among specialists in each area as well as with specialists in other areas, so that the conference will both present the state of the art and inspire new ideas at the cutting edge of science. As steps in this direction, this year we will have a broad range of invited speakers to discuss both, longstanding topics in SAB, and the new trends in (and the future of) the Simulation of Adaptive Behavior. The conference will be held at the CalIT2 Auditorium on the UC Irvine Campus (https://www.calit2.uci.edu) We look forward to welcoming you at SAB 2024! SAB Organizing Committee ----------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Autumn School in Comp Neuro/Neurotech/NeuroAI
by O'Donnell, Cian Sept. 11, 2023

Sept. 11, 2023

Final notice for online applications for our 3rd annual Autumn School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) at Ulster University, Northern Ireland (in-person attendance slots are now full). The School runs from 25-31st October 2023. Topics and lecturers: * Introductory neuroscience / Elaine Murray, Ulster University * Mathematics for neuroscience / Rachel Nicks, University of Nottingham * Computational modelling of plasticity and learning in brains / Cian O’Donnell, Ulster University * Computational modelling of neuronal and glial interactions / Liam McDaid, Ulster University * Modelling the dynamics of decision-making / KongFatt Wong-Lin, Ulster University * Investigating time series neural data: Common signal processing practices / Saugat Bhattacharyya, Ulster University * Fundamentals of functional and effective connectivity / Maria Dauvermann, University of Birmingham * Non-invasive brain-computer interfaces: Enhancing applicability using computational intelligence and technological advances / Girijesh Prasad, Ulster University * Decoding mental imagery from electroencephalography (EEG) and applications of AI-enabled wearable neurotechnology for communication and rehabilitation / Damien Coyle, University of Bath & Ulster University * Brain-inspired spiking neural network models for life-long and explainable learning / Nikola Kasabov, Auckland University of Technology & Ulster University * Introduction to Lifelong Learning / Shirin Dora, Loughborough University * Foundations of Large Language Models / Muskaan Singh, Ulster University * Neuromorphic Engineering / Jim Harkin, Ulster University * Ethical and regulatory issues in Neuroscience There will also be daily computer lab sessions and group projects. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable: £50 for attendees from high-income countries, £20 for attendees from low- and middle-income countries. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for online application is 15th September 2023. Sponsored by generous funding from NeuroCONCISE, IEEE Brain, IEEE Computational Intelligence Society, IEEE EMBS, and g.tec. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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General attendance open for Symposium on the Mathematics of Neuroscience (28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece)
by Battleday, Ruairidh Sept. 10, 2023

Sept. 10, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- General attendance now open; poster sessions still accepting submissions. —---------------- We have finalized the schedule for this year’s conference on the mathematics of neuroscience, and have opened registration for general attendance: www.neuromonster.org Thank you to everyone that made a submission! We will continue to accept submissions for the poster sessions until the 20th September (and, registration for poster sessions includes general conference admission). In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Invited Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract before the 20th September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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tenure track assistant professor position in auditory systems neuroscience at the University of Pennsylvania
by Maria Geffen Sept. 8, 2023

Sept. 8, 2023

Dear Colleagues, The Hearing Research Center at the University of Pennsylvania <https://www.med.upenn.edu/pennhearing/> has an opening for a tenure-track assistant professor in auditory systems neuroscience to join our team. Applications are accepted on rolling basis, with preference given to applications received by Oct 16. Application is available here: https://apply.interfolio.com/100900 <https://apply.interfolio.com/100900> Assistant Professor of Auditory Neuroscience, Tenure Track <https://apply.interfolio.com/100900> The Department of Otorhinolaryngology: Head and Neck Surgery <https://www.pennmedicine.org/departments-and-centers/otorhinolaryngology> at the Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> seeks candidates for an Assistant Professor position in the tenure track <https://apply.interfolio.com/100900>. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department <https://www.med.upenn.edu/pennhearing/>, but within the greater neuroscience community in the Perelman School of Medicine <https://mindcore.sas.upenn.edu/> (e.g. the Computational Neuroscience Institute <http://cni.upenn.edu/>) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience <https://www.med.upenn.edu/pennhearing/>. The Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. ______________________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @ <https://mastodon.world/@geffenlab>geffenlab(a)mastodon.world <mailto:geffenlab@mastodon.world> @geffenlab.bsky.social <https://bsky.app/profile/geffenlab.bsky.social> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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free online Vision Courses available
by Li Zhaoping Sept. 8, 2023

Sept. 8, 2023

These online courses (available at https://zhaoping.thinkific.com/ ) include A very brief introduction of what is known about vision experimentally <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-of-what-is…> A very brief introduction to simple mathematical methods for computational vision <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-to-simple-…> The efficient coding principle <https://zhaoping.thinkific.com/courses/the-efficient-coding-principle> Visual attention and V1 Saliency Hypothesis <https://zhaoping.thinkific.com/courses/visual-attention-and-v1-saliency-hyp…> Visual decoding and recognition <https://zhaoping.thinkific.com/courses/visual-decoding-or-recognition> You can mix and match them for graduate courses in (e.g.,) "Introduction to Vision", "Systems Vision Science", and "Computational Vision". They have been used for teaching in the University of Tuebingen, and are also suitable for self-study. Questions and comments are most welcome! Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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Special issue on Deep SNNs
by MASQUELIER Timothee Sept. 8, 2023

Sept. 8, 2023

Dear colleagues, Please consider submitting your work to our Frontiers Research Topic "Deep Spiking Neural Networks: Models, Algorithms and Applications": https://www.frontiersin.org/research-topics/58546/deep-spiking-neural-netwo… Best, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Watch our A Eye workshop via Zoom (September 19-22, 2023): 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'
by David Rotermund Sept. 8, 2023

Sept. 8, 2023

We would like to invite you to watch the talks of our workshop 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'. It will take place from 19 to 22 September 2023. If you are interested in watching the talks via Zoom (free of charge), please use the web form at https://www.uni-bremen.de/i-see/hwk-workshop to register. In addition to the registration form, you will also find the abstracts of all the presentations and a provisional timetable (which is in German time) on the website. If you have any questions, please don't hesitate to ask. Here is the list of scheduled talks: Michael Beyeler Human-in-the-Loop Optimization of Simulated Prosthetic Vision Avi Caspi Eye tracking in cortical visual prosthesis - from theory to practice Gislin Dagnelie Early functional outcomes for the first human with the Intracortical Visual Prosthesis (ICVP) Theo Doll Additively Fabricated Cortical Electrodes – a materials challenge Udo Ernst I-See - Evaluating novel approaches for constructing visual cortical prostheses Eduardo Fernandez Jover Towards an advanced cortical visual neuroprosthesis based on intracortical microelectrodes Ione Fine Pulse trains to percepts: Using virtual patients to describe the perceptual effects of human visual cortical stimulation Shelley I. Fried Towards the development of a micro-coil based cortical visual prosthesis Diego Ghezzi High-density wide-area cortical visual prosthesis Umut Guclu Neural Coding and Neuroprosthetics with Deep Learning and Synthetic Reality Michael Herzog A psychophysical approach to object rendering in future V4 prostheses Dirk Jancke Probing electrical brain stimulation in genetically modified mice Arto Nurmikko Wireless Networks of Implanted Microchips for Distributed Cortical Sensing and Stimulation Christopher Pack Design considerations for an extrastriate visual cortical prosthetic Carlos Ponce Estimating the capacity of neuronal population encoding via image reconstructions Bogdan Raducanu Chips to neurons and back: electronic circuits for neural recording and stimulation Pieter Roelfsema Visual perception and consciousness and their restoration when the eyes fail Andreas Schander Development of neural probes for chronic recording and electrical stimulation Michael Schmid Influence of visual cortex stimulation on perception: Insights from experiments in non-human primates Martin Schrimpf Do Topographic ANNs Predict the Behavioral Effects of Neural Interventions in Primate IT Cortex? Fabian Sinz Exploring the Visual System with Functional Digital Twins and Inception Loops Anna Wang Roe A novel interface for cortical columnar neuromodulation with multi-point infrared neural stimulation Daniel Yoshor Implementing a Visual Cortical Prosthetic: Advances and Challenges best wishes David

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Postdoctoral Position at Stevens in Multiphysics Brain Aging Modeling
by Johannes Weickenmeier Sept. 6, 2023

Sept. 6, 2023

Dear all, We have a post-doc position available on our “white matter damage progression during healthy brain aging” project that is part of a U19 NIH-funded program investigating the Diverse Vascular Contributions to Cognitive Impairment and Dementia (Diverse VCID) to improve meaningful diagnosis for people at risk for dementia: https://diversevcid.ucdavis.edu/ The work will take place within the Soft Tissue Biomechanics group led by Prof. Johannes Weickenmeier at Stevens Institute of Technology: www.weickenmeierlab.com<http://www.weickenmeierlab.com>. This is a full-time position to work on developing computational models to predict deep white matter lesion formation and progression. **Scientific Profile Requested** Requirements: PhD in Mechanical Engineering, Physics, Computer Science, Maths, and related fields. Skills and track-record: * Constitutive modelling of soft tissues, numerical simulation, multiphysics modeling * Analytical study of numerical simulations * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in computational mechanics, biophysics, and/or constitutive modeling * Interest to work in interdisciplinary research at the interface of engineering, health, and medicine Deadline: ASAP Required Application Materials: CV Looking forward to your applications, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering | phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

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Subject: COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Extended Sept 11, 2023
by Fabian Braesemann Sept. 6, 2023

Sept. 6, 2023

You are cordially invited to submit your contribution until September 11, 2023 (Extended Firm Deadline). 12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> KEYNOTE SPEAKERS • Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK • Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA • Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy • Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA • Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain • Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS • Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria • Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK SUBMISSION You can submit at : https://complexnetworks.org/submission/ • A Full paper (not previously published work up to 12 pages) • An Extended Abstract (about published or unpublished research up to 4 pages) PUBLICATION • Papers will be included in the conference proceedings edited by Springer • Extended abstracts will be published in the Book of Abstracts (with ISBN) • Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems<https://plos.org/complex-systems-research-journal/> o PLOS<https://journals.plos.org/plosone/> one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Sept. 5, 2023

Sept. 5, 2023

Enrolments for the Modeller’s Workshop for the Brain Dynamics Toolbox are now open. Master the art of programming dynamical systems in Matlab using the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to build their own models. Each step is explained in a short video lecture with a practical focus on programming techniques. Topics include Ordinary Differential Equations (ODEs), Delay Differential Equations (DDEs), Stochastic Differential Equations (SDEs), Partial Differential Equations (PDEs), model-specific plotting functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close 30th Sep 2023. Stewart Heitmann Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Register today: INCF Neuroinformatics Assembly 2023
by INCF Sept. 5, 2023

Sept. 5, 2023

There's still time to register for Assembly! *INCF Neuroinformatics Assembly 2023* *Sep 18-20, 2023* *Virtual via Gather* Abstracts due Sep 11, 2023 Regular registration: 50 USD Student registration: 20 USD **Discounted registration for INCF members** Learn about and share the latest advancements in neuroinformatics! This year’s theme is Transparency in FAIR Neuroinformatics and the following topics will be represented at the assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - Neuroscience data integration through use of Digital Brain Atlases - *2 PhD credits!* - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools *Register today: *neuroinformatics.incf.org/assembly22-registration *Submit your abstract: *neuroinformatics.incf.org/abstract-submission *Learn more: *neuroinformatics.incf.org

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Two postdoctoral (senior research officer) positions in Essex Brain-Computer Interfaces and Neural Engineering Laboratory
by Poli, Riccardo Sept. 5, 2023

Sept. 5, 2023

Dear all, We have two senior research officer (post-doc) jobs available on our “semantic brain-computer interface” project led by Dr Ian Daly with myself (Riccardo Poli) and Silke Paulmann (in Psychology) within the Essex Brain-Computer Interfaces and Neural Engineering Laboratory.<https://www.essex.ac.uk/departments/computer-science-and-electronic-enginee…> These are three-year full-time positions to work on developing decoding models for EEG-fNIRS signals and BCI devices. Full details: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.ope… Deadline: 13th October 2023 Many thanks, Riccardo -- Prof Riccardo Poli https://www.essex.ac.uk/people/polir15101/riccardo-poli E-mail: rpoli(a)essex.ac.uk<mailto:rpoli@essex.ac.uk> Zoom: https://essex-university.zoom.us/my/rpoli Address: School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ, UK

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postdoc position announcement at INMED (Marseille)
by Lorenzo Fontolan Sept. 1, 2023

Sept. 1, 2023

An ERC-funded postdoctoral position is available in the Cossart lab at the Mediterranean Institute of Neurobiology (INSERM, Aix-Marseille University, Marseille, France) to work in a collaborative, interdisciplinary, and friendly environment (by the Calanques). The Cossart lab aims at understanding memory circuits in the brain and describing how they develop in health and disease. To this aim, we use cutting-edge optical, computational, and data analysis methods. The candidate will apply their skills to extract information from our datasets, build computational models to make predictions, and work in close collaboration with experimentalists. The candidate will be co-supervised by Dr. Lorenzo Fontolan, a computational neuroscientist who recently started his research group at Inmed. Starting date fall/winter 2023. We especially invite applications from prospective postdocs with backgrounds in physics, applied mathematics, and electrical engineering. To apply, please send a CV, a short statement containing research interests and previous experience, and two names of references with contact information to: *rosa.cossart(a)inserm.fr <rosa.cossart(a)inserm.fr> *and* lorenzo.fontolan(a)inserm.fr <lorenzo.fontolan(a)inserm.fr>* Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la Méditerranée & Centre de Physique Théorique Université Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics <https://www.inmed.fr/neural-computation-and-dynamics>* *https://centuri-livingsystems.org/l-fontolan/ <https://centuri-livingsystems.org/l-fontolan/>*

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Postdoc position in Bilbao on open-ended network self-organization
by Miguel Aguilera Sept. 1, 2023

Sept. 1, 2023

Hi all, We are offering one postdoc position on self-organized network modelling at the Basque Center for Applied Mathematics in Bilbao (Basque Country, Spain) under the supervision of MIguel Aguilera. DETAILS: **Postdoctoral Fellow on open-ended, self-organized, bio-inspired networks** Topics: One of the outstanding challenges in modelling living and cognitive systems is to capture their ability to continuously adapt and develop. Our behavioural responses are not fixed but driven instead by a complex ecology, composed of myriads of fluid and inconspicuous neurodynamical patterns that have slowly grown on us. AI models like neural networks can capture complex behaviours, but often this open-ended, liquid and ongoing reconfiguration is incredibly challenging to reproduce with static topologies. In contrast, liquid neural networks (or 'liquid brains') are a widespread class of networks with a particular feature: nodes (which may represent 'neurons' or 'agents' and typically all share identical rules) not only process information from neighbour nodes, but they also dynamically modify their network connections, e.g. by moving in space. These networks show how neural-like processing typically associated with static physiological networks can also emerge from fluid collective interaction, dynamically exploring configuration spaces beyond standard connection weight changes. Examples of this kind of model include collective decision-making and fluctuations in ant colonies or idiotypic cascades in immune networks. Objective: The aim of this project is to develop a theory of learning in liquid brains, focused on two aspects: 1) How do liquid brains learn? How is this process different from static neural networks?, and 2) what is the adaptive potential of liquid brains when they are embodied as an agent in interaction with a changing external environment? Answering these questions has the potential to extend the idea of liquid brains from a theoretically deep and intriguing concept to a useful tool available to the machine learning community. Specifically, liquid brains could afford more open-ended, self-improving systems, exploiting fluid reconfiguration of nodes as an adaptive dimension which is generally unexplored. This could also allow modes of learning that avoid catastrophic forgetting, as reconfigurations in the network are based on reversible movement patterns. In terms of technology transfer, this advances can also have important implications for new paradigms like edge computing. PI in charge: Miguel Aguilera <https://maguilera.net/> Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent). Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-e… **Scientific Profile Requested** Requirements: PhD in Physics, Engineering, Computer Science, Maths, Artificial Intelligence, Computational Neuroscience and related fields. Skills and track-record: * Modelling experience with complex or neural network models, e.g. Hopfield networks, Ising models, Boltzmann machines, sandpile models, flock/swarm/insect colony models. * Solid programming skills * Analytical study of stochastic processes * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in complex systems, neural network modelling, biophysics, information theory and/or statistical mechanics * Interest to work in interdisciplinary research projects Application and Selection Process Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment. Application: Required documents: * CV * Letter of interest * 2 recommendation letters * Statement of past and proposed future research (2-3 pages) Evaluation: Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. Incorporation: As soon as possible -- Miguel Aguilera | Ikerbasque Research Fellow | BCAM – Basque Center for Applied Mathematics |https://maguilera.net

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Kempner Research Fellows
by Cengiz Pehlevan Sept. 1, 2023

Sept. 1, 2023

The Kempner Institute at Harvard University has opened the application for the next cohort of Kempner Research Fellows. The application is open now and will close on October 9, 2023. The 3 year fellowship provides a generous stipend, funding for research, and access to our GPU cluster. We seek candidates who are working on or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g., development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g., achieving a better understanding of deep learning). To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and at the latest, have received their PhD no earlier than 9/1/2021. See this link for more information and how to apply: https://www.harvard.edu/kempner-institute/opportunities/the-kempner-institu… Email KempnerInstitute(a)harvard.edu <mailto:KempnerInstitute@harvard.edu> for any questions about the position.

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Postdoc Position in Hamburg, Germany
by Jan Gläscher Aug. 31, 2023

Aug. 31, 2023

Dear Colleagues, there is a Postdoc position for 4 years (starting January 2024) available in my lab to work on a project on dynamic belief updating in stochastic and changing environments using computational modeling of behavior, combined EEG-fMRI, and eye-tracking. Details can be found here <https://drive.google.com/file/d/1neec58x-6RQe-WuKt33xJRJPIhZzm-We/view?usp=…>. Our lab is at www.glascherlab.org <https://www.glascherlab.org/>. Best wishes, Jan Jan Gläscher, Ph.D. Research Group Leader “Valuation and Social Decision-Making" Institute for Systems Neuroscience University Medical Center Hamburg-Eppendorf Germany -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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PhD position on neuromorphic electronic systems for artificial olfaction
by Jakob Jordan Aug. 30, 2023

Aug. 30, 2023

(fowarded on behalf of Dr. Kevin Max, University of Bern, Switzerland) Dear colleagues, as part of our new project SYNCH: neuromorphic electronic systems for artificial olfaction, we are looking for a PhD candidate interested in working on neuromorphic hardware integration. The position is open at the department of Electrical Engineering at TU Eindhoven, the Netherlands. If you are interested or know somebody who is, please consider the following link: https://jobs.tue.nl/en/vacancy/phd-position-on-neuromorphic-electronic-syst… Cheers, Kevin

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2024 NERF PhD Program
by pedro goncalves Aug. 30, 2023

Aug. 30, 2023

Dear all, Want to do a PhD in neurosciences? Join us - we're recruiting! Neuro-Electronics Research Flanders (NERF) is an interdisciplinary research center located in Leuven, Belgium. We study neuronal circuits and develop new technologies to link circuit activity to brain function. We offer students an opportunity to carry out cutting-edge systems neuroscience research in an international and collaborative environment, with multi-disciplinary training and access to advanced neurotechnologies. More details about the positions and NERF can be found at https://nerfphdcall.sites.vib.be/en Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

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The Bernstein Conference 2023 in Berlin is approaching
by Alexander Lammers Aug. 30, 2023

Aug. 30, 2023

***The Bernstein Conference 2023 in Berlin is approaching*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. All information: https://bernstein-network.de/bernstein-conference/ ___ Events Bernstein Conference: Sept 26 - 29, 2023 Satellite Workshops: Sept 26 – 27, 2023 Main Conference: Sept 27 – 29, 2023 Postdoc Meeting: Sept 27, 2023 PhD Symposium: Sept 29 – 30, 2023 ___ Schedule Find the detailed schedule here: https://bernstein-network.de/bernstein-conference/program/schedule/ ___ Registration Registration Deadline: Sept 13, 2023 On-site registration possible if sufficient places are available. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ FAQ & Contact Find FAQs here: https://bernstein-network.de/bernstein-conference/general-information/impor… For any further questions, please contact: bernstein-conference(a)fz-juelich.de<mailto:bernstein-conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Faculty positions at Okinawa Institute of Science and Technology, Japan
by Erik De Schutter Aug. 30, 2023

Aug. 30, 2023

Dear computational neuroscientists, OIST is recruiting in all areas of science, but assistant professor level recruitment in computational neuroscience is a priority for the coming years to reinforce our strength in CNS. So go ahead and apply, we’re actively looking for female candidates. Apply at https://groups.oist.jp/facultypositions

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Bordeaux Neurocampus: 1st Open Science Workshop
by Fjola Hyseni Aug. 30, 2023

Aug. 30, 2023

To whom it may concern, I would like to diffuse an email about the 1st Open Science Workshop in Bordeaux. -------------------------------------------------------------------------------------------------------------- Hey, Open Science enthusiast! Are you ready to dive into a whirlwind of knowledge, fun, and free lunch? Our Open Science Workshop <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/> is just around the corner, and trust us, you won't want to miss it! Get ready to be blown away by some seriously cool speakers who are pushing the boundaries in the world of Open Science! And the best part? It's completely FREE to attend! Yup, you read that right – no registration fees! Lunch and coffee are also included & free because great minds need some fuel. 📅 When: October 16th- 20th 🕒 Where: Neurocampus - University of Bordeaux 💡 What: A One-Week Open Science Workshop 💸 Travel grants: YES! Coming from outside of Bordeaux? No problemo, we have a few travel grants available! ✅ Training hours: Yup! This week can be validated as training hours! Soon, the course will be on ADUM! 📝 Where to apply: Click HERE <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/apply>! 👥 Who can apply: Anyone working in research and interested in improving their practices! 🗣️ Feel free to pass this message to a friend – the more, the merrier! We look forward to welcoming you to this amazing workshop! Sincerely, The Organizers

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Postdoc - Computational Neuroscience
by Aaron Milstein Aug. 29, 2023

Aug. 29, 2023

Dr. Aaron Milstein, Assistant Professor of Neuroscience and Cell Biology, is seeking a postdoc to join his computational neuroscience lab at Rutgers University in Piscataway, NJ. Projects in the lab focus on understanding a newly discovered form of synaptic plasticity that depends on dendritic spikes called behavioral timescale synaptic plasticity (BTSP). We hypothesize that this plasticity mechanism is involved in coordinating supervised learning across multiple brain regions. Ideal candidate: – Interested in bio-inspired neural networks and/or neural circuits – Enjoy learning and tackling difficult research questions – Completed (or close to completing) a PhD – Have research experience in a relevant topic (e.g. Neuroscience, Computational Neuroscience, Computer Science, Machine Learning, Bioengineering, etc.). What we offer: – A supportive work environment in a fun international team with room to develop your own project – The option to collaborate with other world-class neuroscience and engineering labs at Rutgers and beyond – Opportunities to travel to national and international conferences – Healthcare coverage – Salary in line with the NIH payscale (based on years of experience) You can learn more about the lab here: https://milsteinlab.com We look forward to hearing from you! Please apply at the following link: https://jobs.rutgers.edu/postings/204606

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Call for abstracts extended (Sept 3rd): Symposium on the Mathematics of Neuroscience, Rhodes, Greece, Sept 28th-Oct 1st, 2023
by Battleday, Ruairidh Aug. 29, 2023

Aug. 29, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Deadline extended (Sept 3rd): Call for abstracts —---------------- Our deepest gratitude to all of you that have submitted so far! We are extending our invitation to submit abstracts for this year’s conference on the mathematics of neuroscience until September 3rd: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 3rd September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley Aug. 28, 2023

Aug. 28, 2023

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Sept 02, 2023
by Hocine Cherifi Aug. 28, 2023

Aug. 28, 2023

You are cordially invited to submit your contribution until *September 02, 2023*. *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> *KEYNOTE SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *SUBMISSION* You can submit at : https://complexnetworks.org/submission/ · A *Full paper *(not previously published work up to 12 pages) · An *Extended Abstract* (about published or unpublished research up to 4 pages) *PUBLICATION* · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *Extended versions* will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems <https://plos.org/complex-systems-research-journal/> o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications) Caixa de entrada
by Antonio Roque Aug. 27, 2023

Aug. 27, 2023

**** Apologies for cross-posting **** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 14, 2023 Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, Aix-Marseille University, Marseille, France Fabio M. Simoes de Souza, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 14, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- 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>

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2 lecturer (assistant professor) in computer science posts available at Ulster University
by Wong-Lin, Kongfatt Aug. 26, 2023

Aug. 26, 2023

https://www.jobs.ac.uk/job/DCF900/lecturer-in-computer-science https://www.ulster.ac.uk/about/jobs Salary: 7/8 (£39,369 - £56,054) Closing Date: 4th September 2023 at 23:59 Reference Number: 022187 The post holder will support the delivery of key areas of teaching and research in the discipline of Computing. They will contribute to the delivery of undergraduate and postgraduate degree programmes offered by the School of Computing, Engineering and Intelligent Systems, and undertake research in areas aligned with the Intelligent Systems Research Centre (ISRC). - ABOUT YOU - - Hold a Degree in Computer Science, Software Engineering or cognate discipline. - Hold a PhD in Computer Science, Software Engineering or cognate discipline. - Have evidence of an advanced level of knowledge and experience of Computing Science with specific experience in Artificial Intelligence and/or Computer Networks and/or IoT/Pervasive Computing and/or Games Development and/or Neurotechnology. The School of Computing, Engineering & Intelligent Systems holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Tenure-track faculty position at Washington University in St Louis
by Goodhill, Geoffrey Aug. 26, 2023

Aug. 26, 2023

ASSISTANT/ASSOCIATE PROFESSOR IN NEUROSCIENCE Washington University in St. Louis Department of Biology The Department of Biology at Washington University in St. Louis seeks a neuroscientist for a tenure-track position at the Assistant or Associate Professor level. The successful candidate will establish a research program focused on cutting-edge questions in developmental, cellular or systems neuroscience with particular interest in neuroethology, biologically-inspired artificial intelligence, evolution, or neural computation. The successful candidate will: join a vibrant neuroscience community; contribute to advising, mentoring, and teaching; and develop an externally funded and internationally recognized research program. These links provide more information about our department (biology.wustl.edu<https://biology.wustl.edu/>) graduate education (dbbs.wustl.edu<https://dbbs.wustl.edu/>), and WUSTL neuroscience community (neuroscienceresearch.wustl.edu<https://neuroscienceresearch.wustl.edu/>). Review of applications will begin October 2, 2023. Applications will be accepted until the search concludes. Diversity, equity, and inclusion are core values of the Biology Department and Washington University. Please provide a single pdf containing a cover letter, curriculum vitae, research statement, teaching statement, diversity statement, three papers, and the names and contact information for three references. Applications should be submitted through Interfolio (https://apply.interfolio.com/130284)

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Thalamus Anatomy and Connectomics Conference (October 30 – 31 in Tübingen)
by vin Aug. 25, 2023

Aug. 25, 2023

Dear Esteemed Researchers, Greetings! We are thrilled to invite you to the upcoming Thalamus Anatomy and Connectomics Conference, funded by the SPP-2041. The conference aims to dive deep into the fascinating and intricate thalamus. This event promises to be an enriching experience, fostering discussions and collaborations. 📅 Date: October 30 – 31, 2023 📍 Location: Max Planck Campus Tübingen, Germany *Registration:* The conference is free of charge. The onsite-registration is limited to approx. 50 participants. Please apply. *https://www.tuebingen.mpg.de/thalamus <https://www.tuebingen.mpg.de/thalamus>* We look forward to welcoming you to an intellectually stimulating and inspiring conference. Kindest regards, Organizing Team Thalamus Anatomy and Connectomics Conference Vinod Kumar Max Planck Institute for Biological Cybernetics Tuebingen, Germany.

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Postdoctoral position in Computational Neuroscience
by Bazhenov, Maksim Aug. 25, 2023

Aug. 25, 2023

The Bazhenov Lab at the University of California, San Diego (https://www.bazhlab.ucsd.edu) is currently seeking to fill a postdoctoral position to study the role of sleep in memory, learning, and forgetting. This exciting project involves close collaboration with experimental labs. The ultimate goal of the work is to advance our understanding of how the human and animal brain learn from experience and how sleep contributes to memory consolidation for recent learning. The successful candidate will be responsible for designing anatomically realistic biophysical brain network models based on experimental data. These models will be instrumental in uncovering network dynamics involved in memory consolidation and reconsolidation during sleep, as well as guiding data analysis and generating innovative experimental predictions. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects, such as developing “whole human brain” models based on dMRI data or applying principles learned from neuroscience to artificial intelligence for continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python, PyTorch and/or Matlab is a plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu>

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Job opportunity at the Gatsby unit, SWC and NeuroGEARS
by Joaquin Rapela Aug. 25, 2023

Aug. 25, 2023

Hello list, We have an open position for a research software engineer (machine learning and neuroscience) in London (UK) at the Gatsby Unit, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) and NeuroGEARS Ltd. Deadline: 25 August 2023 We invite applications for a Research Software Engineer (RSE) position with expertise in: . software development and/or . machine learning and/or . neural data analysis and/or . experimental control (ideally with the Bonsai ecosystem) to contribute to the recently funded project ``Machine Learning for Neuroscience Experimental Control'' https://gow.bbsrc.ukri.org/grants/AwardDetails.aspx?FundingReference=BB%2FW… The initial appointment will be for two years. Salary will be in the range of £50,085-£63,291; a competitive supplement may be offered to candidates who match well the knowledge, skills and experience required for this role. We offer the unique research environment of the Gatsby Unit, the SWC and NeuroGEARS, as well as an unparalleled learning experience. By interacting with our scientists and engineers you could acquire unique skills in computational neuroscience, statistical neural data analysis, machine learning, experimental neuroscience and research software engineering. For detailed information and how to apply, please visit the UCL Job Portal (Ref B02-05510): https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=13635. For informal inquiries about the position, please contact me at j.rapela ‘at’ ucl.ac.uk. Cordially, Joaquin

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Postdoc in computational olfaction/ ML / AI / Data Science
by Michael Schmuker Aug. 24, 2023

Aug. 24, 2023

The Biocomputation group at the University of Hertfordshire is looking for a data scientist / ML / AI expert to join the interdisciplinary BioMachineLearning team working in computational olfaction. Whether your background is in computational neuroscience, neuromorphic computing, electronic noses, robotics, data wrangling, even cheminformatics: There is a project for you where you can bring your full expertise to blossom in a collaborative environment. Our lab is embedded in the Odor2Action Network (https://odor2action.org <https://odor2action.org/> ), a research consortium of 16 labs in the US, UK, and Canada, investigating how animals use odours to guide behaviour. There will be opportunities for travel to project meetings, conferences, etc. It is also possible to organise stays at one of our partner labs. We embrace flexible working, both in terms of working hours and the possibility to work from home (with the requirement to work from within the UK). Questions? Please do get in touch via email. More information about the job and how to apply is on the application form: https://www.jobs.herts.ac.uk/go/053215 Deadline 1st September! -- Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire http://biomachinelearning.net <http://biomachinelearning.net/>

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI @ Sheffield Hallam University (UK)
by Di Nuovo, Alessandro Aug. 24, 2023

Aug. 24, 2023

Sheffield Hallam University (UK) is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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Postdoctoral position at the Cluster for advanced study of collective behavior ( deadline 15th Sept 2023)
by Ahmed El Hady Aug. 24, 2023

Aug. 24, 2023

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed elhady Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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10 days to submit your abstract for the fourth Canadian Computational Neuroscience Spotlight
by Scott Rich Aug. 23, 2023

Aug. 23, 2023

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program>, taking place October 5-6 online via Crowdcast (register here <https://www.crowdcast.io/c/ccnsv4>), is fast approaching, as is our first deadline for abstract submission for trainee talks. *To be considered for a spotlight presentation, submit your abstract <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…> by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. As a point of clarification, *you do not need to be Canadian, or be located at a Canadian institution, to submit an abstract*: while the meeting's namesake comes from its original impetus in the early stages of the pandemic, we have fully embraced the international nature of virtual meetings, including in these trainee talks. We invite submissions from trainees at all levels, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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One week left: Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh Aug. 21, 2023

Aug. 21, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- *One week left*: Call for papers —---------------- Thank you to everyone that has submitted so far! We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 28th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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short-term Post-doc opportunity: DCM for fMRI Cologne/Juelich, Germany
by Paola Mengotti Aug. 21, 2023

Aug. 21, 2023

Dear colleagues, We are currently looking for a postdoctoral researcher who is interested in applying DCM to an existing fMRI dataset on prediction-dependent motor preparation and re-programming in younger and older volunteers. Further details can be found here: https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145… <https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145…>

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Postdoc position in light-field imaging
by Goodhill, Geoffrey Aug. 20, 2023

Aug. 20, 2023

Postdoc position in the development of light field imaging technologies for recording neural activity The Goodhill lab at Washington University in St Louis is looking for a postdoc scientist for an NIH-funded project to develop novel microscopy methods for whole-brain calcium imaging in freely-behaving zebrafish. The ideal candidate will be experienced in building new optical imaging technologies, and interested in leveraging these skills to help push the frontiers of neural recording across large numbers of neurons simultaneously. Prior experience in neuroscience is not essential. The lab focuses on the computational principles underlying the development of neural circuits and behavior. The goal of this project is to construct light-field imaging techniques to record the activity of ~100,000 neurons in the larval zebrafish brain during unconstrained hunting behavior. This is a collaboration with Oliver Cossairt at Northwestern University and Florian Willomitzer at the University of Arizona, and you will be working with students and postdocs from a diverse array of backgrounds including biology, mathematics, physics and engineering. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in both neuroscience and imaging (see e.g. https://engineering.wustl.edu/academics/programs/imaging-science) The Goodhill lab will soon move along with over 100 other labs into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest to g.goodhill(a)wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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One more month to apply for postdoctoral position at the Cluster for Advanced study of Collective behavior
by Ahmed Elhady Aug. 15, 2023

Aug. 15, 2023

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Submit your abstract for the fourth Canadian Computational Neuroscience Spotlight, happening virtually via Crowdcast
by Scott Rich Aug. 14, 2023

Aug. 14, 2023

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program> is now less than two months away (*October 5-6, fully online via Crowdcast*; register here <https://www.crowdcast.io/c/ccnsv4>). You can find out more information about our program at ccnsmeeting.ca, which will continue to be updated with details about the meeting as it approaches. We invite trainees at any level to submit abstracts <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Submissions that are both the most meritorious and best correspond with the themes of our sessions will be offered longer, "spotlight" presentations. *To be considered for a spotlight presentation, submit your abstract by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh Aug. 11, 2023

Aug. 11, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Call for papers —---------------- We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 27th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session.

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Scientific Data Engineer position at Berkeley Lab to work on Neurodata Without Borders
by Ryan Ly Aug. 11, 2023

Aug. 11, 2023

Dear colleagues, The Computational Biosciences Group <https://crd.lbl.gov/divisions/scidata/computational-biosciences/> at Lawrence Berkeley National Lab in Berkeley, CA has an immediate opening for a Software and Data Engineer in the area of Data Management and Analysis with applications to bioscience research. The position is in support of the Neurodata Without Borders <https://www.nwb.org/> project, which develops methods for standardization, sharing, and analysis of neurophysiology data. The technologies developed will have broader applications to other science domains such as genomics, protein design, and other biological data, providing great opportunities for career growth. The overall objectives for this position are to develop new methods and software tools that enable scientific knowledge discovery using modern data management and machine learning technologies and advance the state-of-the-art in data-intensive analysis. This position will be part of an experienced team conducting R&D in the areas of FAIR data science and modern methods for data understanding. The candidate will be working as part of a multi-disciplinary team composed of computer scientists, data scientists, neuroscientists, and other domain biologists. For detailed information and how to apply, please see https://jobs.lbl.gov/jobs/scientific-data-engineer-5931 . Best, Ryan -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Late breaking abstract submission: INCF Neuroinformatics Assembly 2023
by INCF Aug. 11, 2023

Aug. 11, 2023

*INCF Neuroinformatics Assembly 2023* September 18-20 Virtual Abstract submission deadline: June 23 50% discount for INCF members <https://www.incf.org/join-incf/individuals> Late-breaking abstract submission is now open for INCF Neuroinformatics Assembly 2023! Submit your abstract: bit.ly/INCF2023abstracts Join us for Assembly, hosted once again on the Gather platform! Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Register: bit.ly/Assembly2023reg Learn more: bit.ly/INCF2023Assemblyblog

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Postdoctoral position in systems neuroscience - freely moving optophysiology - University of Bonn, Germany - Circuit Mechanisms of Behavior Lab
by Rose, Prof. Tobias Aug. 10, 2023

Aug. 10, 2023

Dear all, Our research group “Circuit Mechanisms of Behavior” at the University Hospital Bonn (lab Tobias Rose) invites applications for a full-time (38.5 hours/week) position as: Postdoctoral Researcher (m/f/d): Detailed description: <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Postdoctoral Researcher (m/f/d) - Bonn, Nordrhein-Westfalen (DE) job with Universitätsklinikum Bonn | 12803739<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> nature.com<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> [favicon.ico] <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Closing date: 31st of August 2023 Start date: flexible Contact: Tobias Rose, Tobias.Rose(a)ukbonn.de The selected candidate will investigate the "Encoding of Landmark Stability and Stability of Landmark Encoding”: You will study visual landmark encoding at the intersection of hippocampal, thalamic, and cortical inputs to retrosplenial cortex. You will use cutting-edge miniature two-photon Ca2+ imaging (https://tinyurl.com/mini2pCA1) enabling you to longitudinally record activity in defined, large neuronal populations and long-range afferents in freely moving animals. You will carry out rigorous neuronal and behavioral analyses within the confines of automatized closed-loop tasks tailored for visual navigation. This will involve the application of advanced tools for dense behavioral quantification, including multi-angle videography, inertial motion sensing, and egocentric recording with head-mounted cameras for the reconstruction of retinal input. Our aim is to gain a comprehensive understanding of the immediate and sustained multi-area neuronal representation of visual landmarks during unrestricted behavior. We aim to elucidate the mechanisms through which stable visual landmarks are encoded and the processes by which these representations are stabilized to facilitate robust allocentric navigation. Ideal candidates for this position should hold a doctorate in neuroscience, engineering, physics, or a related discipline, and should be deeply committed to rigorous neuroethology and technical development. We seek individuals with a "tinkering spirit", i.e., a strong penchant for problem-solving and creativity. Essential competencies include the demonstrated ability to design and carry out complex neuroscience experiments, robust programming capabilities, and a foundational knowledge of machine learning methodologies. Valuable experience would include a familiarity with rodent behavior, both in freely moving and head-fixed contexts. Although not mandatory, a background in visual neuroscience or navigation neuroscience would be viewed favorably. We are looking for a driven candidate with a solid record of accomplishment who is enthusiastic about interdisciplinary research. The successful candidate will be prepared to bring their skills and experience to our innovative and collaborative research environment. While this role is tailored towards a specific project, we are equally enthusiastic about supporting the development of your individual research pursuits. Applicants should send their application in a single pdf file, including a cover letter explaining your research interests and motivation for joining the team, CV, and contact information for two references. Applications will be shortlisted based on the above selection criteria. Please send your formal application to Prof. Tobias Rose via email until 31.08.2023. The Expected start date is September 2023 or at the earliest possible date thereafter. Informal enquires about the post are welcome. For more information on our research, please visit www.troselab.de (mastodon: @trose_neuro@neuromatch.social, twitter: @trose_neuro). -- Prof. Dr. Tobias Rose Circuit Mechanisms of Behavior Institute of Experimental Epileptology and Cognition Research University of Bonn Medical Center Life and Brain Center (Building 76) Venusberg-Campus 1 53127 Bonn Tel.: +49-228-6885 331 www.troselab.de<http://www.troselab.de/> ________________________________ Vorstand: Univ.-Prof. Dr. Dr. h.c. mult. Wolfgang Holzgreve, MBA, Vorstandsvorsitzender und Ärztlicher Direktor • Clemens Platzköster, Kaufmännischer Direktor und Stellv. Vorstandsvorsitzender • Univ.-Prof. Dr. Bernd Weber, Dekan der Med. Fakultät • Univ.-Prof. Dr. Alexandra Philipsen, Stellv. Ärztliche Direktorin • Alexander Pröbstl, Vorstand Pflege und Patientenservice • Aufsichtsratsvorsitzender: Univ.-Prof. Dr. Heinz Reichmann • Gerichtsstand Bonn • Finanzamt Bonn Innenstadt • USt-IdNr.: DE811917555 • Bankverbindung: Sparkasse KölnBonn • BIC COLSDE33 • IBAN DE52 3705 0198 0010 6506 61

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*Deadline extended* INCF Short Course: Introduction to Neuroinformatics
by INCF Aug. 10, 2023

Aug. 10, 2023

**Deadline extended* INCF Short Course: Introduction to Neuroinformatics* In coordination with the University of Washington and the West Big Data Innovation Hub October 2-4 Seattle, Washington, US Application deadline: August 31 50% discount for INCF members <https://www.incf.org/join-incf/individuals>! Registration has been extended for this Short Course on Neuroinformatics! This course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. Speakers include: - Maryann Martone, University of California San Diego - Matthew Glasser, Washington University School of Medicine in St. Louis - Ariel Rokem, University of Washington - Ashley Juavinett, University of California, San Diego - Franco Pestilli, University of Texas at Austin - Yaroslav Halchenko, Dartmouth College, Center for Open Neuroscience - Dimitri Yatsenko, DataJoint ...and more! Topics covered include: - AI & machine learning - How to write a data management plan - Neuroethics, data governance, & international data sharing - Data science & reproducibility - Neuroinformatics - Neuroscience & neuroanatomy ...and more! Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren Aug. 10, 2023

Aug. 10, 2023

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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Integrative Biophysics Group Opportunities
by Ahmed Elhady Aug. 6, 2023

Aug. 6, 2023

The Integrative Biophysics group (https://twitter.com/IntBioPhysics ) headed by Dr. Ahmed Elhady at the Cluster for Advanced study of collective behavior in the university of Konstanz , focuses on understanding theoretical foundations of biophysical phenomena from excitability up to social foraging. The group is part of the Cluster for Advanced Study of Collective behavior. We are a *Cluster of Excellence* within the Excellence Strategy of the German Federal and State Governments. Being a cooperation between the University of Konstanz and the Max Planck Institute of Animal Behavior, we use the extensive expertise in the region to create an interdisciplinary environment for the study of collective behaviour that is unique worldwide. "The Centre for the Advanced Study of Collective Behaviour" is dedicated to the study of collective behaviour across a variety of species and across different organizational levels. For more information on the Cluster of Excellence, please visit: Collective Behaviour | exc.uni-konstanz.de <https://www.exc.uni-konstanz.de/collective-behaviour/>. There are several opportunities to do research with us at the Integrative Biophysics group : 1. Postdoctoral position focused on theoretical analysis of social foraging involving theoretical modeling and advanced data analysis ( deadline: September 15th) . For more details , please check this : https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a… 2. Postdoctoral fellowships: we are very happy to discuss potential fellowship proposals relating to theoretical biophysics of collectives ( from cells to animals) that we can host in our group. Get in touch to discuss your ideas ! 3. University of Konstanz offers this unique independent postdoctoral fellowship ( deadline: October 10th), check it out here: https://www.uni-konstanz.de/zukunftskolleg/fellowships/postdoctoral-fellows… . If you are granted this fellowship, you can have a collaboration with us at the Integrative biophysics group. To get in touch and discuss ideas and potential projects, please email Dr. Ahmed elhady at : ahmed.el-hady(a)uni-konstanz.de All the best regards, Ahmed Elhady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Re: ChatSOME: A neural model of how children learn language meanings
by Grossberg, Stephen Aug. 4, 2023

Aug. 4, 2023

Dear Comp-Neuro colleagues, I am writing to call your attention to an article that I just published Open Access which is relevant to many current themes in neural modeling: Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult–child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14. https://doi.org/10.3389/fpsyg.2023.1216479 Here is its Abstract: ++++++++++++++++++++++ This article describes a biological neural network model that can be used to explain how children learn to understand language meanings about the perceptual and affective events that they consciously experience. This kind of learning often occurs when a child interacts with an adult teacher to learn language meanings about events that they experience together. Multiple types of self-organizing brain processes are involved in learning language meanings, including processes that control conscious visual perception, joint attention, object learning and conscious recognition, cognitive working memory, cognitive planning, emotion, cognitive-emotional interactions, volition, and goal-oriented actions. The article shows how all of these brain processes interact to enable learning of language meanings to occur. The article also contrasts these human capabilities with AI models like ChatGPT. The current model is called the ChatSOME model, where SOME abbreviates Self-Organizing Meaning. +++++++++++++++++++++++++++++++++ These contributions build upon results that are described in my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 that I wrote to be self-contained and non-technical in a conversational style for the general public. Best, Steve Stephen Grossberg Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg/ steve(a)bu.edu<mailto:steve@bu.edu> http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4

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ESI SyNC 2023: September 14 - 15
by El Mahmoudi, Nada Aug. 4, 2023

Aug. 4, 2023

[https://www.esi-frankfurt.de/img/esisync/esisync2023_header.jpg] Linking hypotheses: where neuroscience, computation, and cognition meet Dear Neuroscientists, We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2023 will take place in-person and online this year, on September 14 and 15 at the Ernst Strüngmann Institute in Frankfurt, Germany. This year’s topic is: Linking hypotheses: where neuroscience, computation, and cognition meet. Eleven speakers will discuss their research and views on the intersection of systems, behavioral, and computational neuroscience from a wide array of viewpoints: from basic network interactions in the brain probed at the electrophysiological and mechanistic levels, to complex animal behavior and cognition. This year’s conference is an outstanding platform bringing together sub-fields in the neurosciences that find themselves, regrettably often, treated in isolation. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session in person for which we welcome submissions. This conference is free for online participants and researchers in Frankfurt am Main. Registration Link: https://survey.academiccloud.de/index.php/763913?lang=en List of speakers: https://www.esi-frankfurt.de/newevent/ Best Regards, ESI-Sync Organizing Committee

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Postdoc position in computational systems neuroscience, Voigts Lab, Janelia
by Voigts, Jakob Aug. 2, 2023

Aug. 2, 2023

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs to work on how neocortex learns and applies models of the world to enable complex cognitive abilities. We will study flexible cognition by examining naturalistic behaviors that require animals to perform sequential computations, yet are learned quickly. We'll be able to throw whatever technology is needed at the problem of combining sufficient measurements with complex naturalistic behavior in mice, e.g. large-scale electrophysiology or calcium imaging, unrestrained behavior in large complex environments, closed-loop manipulations, circuit reconstruction, etc., but more importantly we'll work on the challenge of modeling, analyzing, and ultimately learning from data when there are no strictly repeated trials to average over. The postdoc position could focus on experimental and/or computational approaches to these questions, depending on the interests and experience of the candidate. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia. Postdocs will have access to an unusual amount of resources and support, allowing us to make rapid progress on these challenging questions. We'll also work closely with experimental, theoretical, methods, and machine learning researchers in- and outside of Janelia to make this research program possible, collaborative, and fun. Our lab website is https://www.voigtslab.org<https://www.voigtslab.org/>. To apply, please send a brief statement of research interests and CV to voigtsj(a)janelia.hhmi.org<mailto:voigtsj@janelia.hhmi.org>

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Two postdoc positions in neuroAI
by Rui Ponte Costa Aug. 2, 2023

Aug. 2, 2023

Dear all, We are seeking to appoint two Postdoctoral Research Scientists to join the Neural and Machine Learning Group part of the world-class Oxford Neuroscience and the Oxford Neurotheory initiative. You will carry out research at the intersection between computational neuroscience and machine learning, closely informed by experimental observations. More details here: shorturl.at/hkwG3<https://t.co/d7ugbOLFDV> and of our group: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Group Leader, Neural and Machine Learning group<https://neuralml.github.io/> Centre for Neural Circuits and Behaviour | Oxford Neurotheory Department of Physiology, Anatomy and Genetics Department of Experimental Psychology (honorary member) University of Oxford, UK

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[Job][PhD] at Inria Bordeaux, FR: From Reservoir Transformers to BrainGPT
by Xavier Hinaut Aug. 2, 2023

Aug. 2, 2023

PhD position available at Inria, Bordeaux, France: "From Reservoir Transformers to BrainGPT" # Keywords Transformers; Reservoir Computing; Computational Neuroscience # Duration & start date 3 years starting 1st October 2023 (estimated) # Contact & Application Informal contact/questions and application: email to xavier dot hinaut at inria dot fr Application & More info: https://recrutement.inria.fr/public/classic/en/offres/2023-06611 All positions available: https://github.com/neuronalX/phd-and-postdoc-positions Deadline: Applications will be considered on a rolling basis. A candidate will be selected as soon as a suitable profile is found. # Context This PhD thesis is part of the BrainGPT "Inria Exploratory Action" project. In the wake of the emergence of large-scale language models such as ChatGPT, the BrainGPT project is at the forefront of research in Artificial Intelligence and Computational Neuroscience. These models, although remarkably powerful, do not reflect the way in which our brains process and learn language. BrainGPT is rising to the challenge by focusing on the development of models that are more faithful to human cognitive functioning, inspired by data on brain activity during listening or reading. The ambition is to create more efficient models that are less dependent on intensive calculations and massive volumes of data. BrainGPT will open up new perspectives on our understanding of language and cognition. # Project and Work description The rapid rise in performance of language models, as demonstrated by the recent appeal of ChatGPT, is undeniable. However, the computational cost and environmental impact associated with such models are often overlooked [1]. These models rely on Transformers [2], which facilitate unsupervised learning on a large volume of data. These same models are used to predict brain activity from functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), an application our team also exploits [3]. The main ambition of the BrainGPT project is to combine the explainability of mechanistic models with the predictive power of Transformers to analyze brain imaging data. Today, on the one hand we have explanatory but less predictive mechanistic models, such as those based on Reservoir Computing, and on the other hand, high-performance predictive models, but not explanatory, like Transformers. Our goal is to combine the best of these two approaches, to develop more efficient ("sample efficient") models inspired by Transformers, which more faithfully reflect the how the brain works, while improving the predictive power of mechanistic models. Towards this ambition, the BrainGPT project seeks to identify the key mechanisms that allow Transformers to predict brain activity. Furthermore, our project strives to build models that are more biologically plausible than Transformers, incorporating the most relevant components for predicting brain activity, while integrating constraints derived from human cognition studies. The long-term objectives of the BrainGPT project are as follows: - Making Transformers more biologically plausible, which could improve the prediction of brain activity by imaging (fMRI, MEG, etc.). - Proposing new perspectives and computing paradigms that do not rely exclusively on gradient backpropagation, given its high computational and energy cost. - Reducing the energy footprint of Transformers by minimizing the computational costs associated with their learning. In summary, the thesis will mainly consist of developing new bio-inspired models inspired by the mechanisms, learning methods, and emerging behaviors of Large Language Models (LLMs) and Transformers. Subsequently, in collaboration with our collaborators, these models will be tested to assess their ability to predict brain activity from imaging data. [1] Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the dangers of stochastic parrots: Can language models be too big?🦜. In Proc. of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). [2] Vaswani, A. et al. (2017) Attention is all you need. In Proc. of Advances in neural information processing systems. [3] Oota, S. R., Trouvain, N., Alexandre, F., & Hinaut, X. (2023, August). MEG Encoding using Word Context Semantics in Listening Stories. In Proc. of INTERSPEECH 2023. # Skills Ideal Candidate Profile: - Holds an engineering or scientific degree and/or a PhD in digital sciences (computer science, automation, signal processing). - Has a first professional experience (6 months of internship or more) in Machine Learning and Python development. Especially in one or more of the following: Recurrent Neural Networks (in particular Reservoir Computing), Transformers, Large Language Models. - Possesses strong expertise in the scientific Python software and scientific stack (numpy/scipy). - Demonstrates a solid grasp of linear algebra concepts. - Proficiency in technical English is crucial, as it enables efficient collaboration with our international partners and effective presentations at conferences. - Has proven experience with version management, familiarity with Git, and proficiency in using the GitHub platform. # Advisor & Location Xavier Hinaut Inria Bordeaux & Institute for Neurodegenerative diseases (Pellegrin Hospital Campus, Bordeaux). Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Tenure Track Assistant Professor Intelligent Systems @ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, the Netherlands.
by Kerstin Bunte Aug. 2, 2023

Aug. 2, 2023

Tenure Track Assistant Professor Intelligent Systems https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 17-9-2023 We offer a Tenure Track Assistant Professor position with a research profile in Intelligent Systems within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. Intelligent Systems aim to give computers and cyber-physical systems the abilities to perceive, analyze and learn from data, make decisions, and enhance human capabilities. The research area has experienced tremendous growth in recent years, especially due to the increase in incorporation of intelligent systems into nearly every aspect of our lives. The societal relevance of sustainability, efficiency, robustness, understanding and guarantees of algorithms is gaining more and more importance, not only in software but also in combination with cyber-physical systems. Relevant aspects are: the theory of machine learning, artificial intelligence and the mathematics of computing (ACM Computing Classification System, 2012 Revision). For this position, possible research directions include (but are not limited to) the theory and application of novel machine learning and artificial intelligence methods with an emphasis on solving pressing open questions, such as efficiency, transparency and interpretability, fairness, the integration of multi-modal and complex heterogeneous data, causal inference, continuous machine learning, generative and dynamic systems. Complex problems demand an increasing amount of interdisciplinary and cross-domain knowledge. Therefore, backgrounds in information theory, probabilistic representations, causality and computational geometry are also welcome to apply. As Assistant Professor with a focus on research, you will: - set up and develop your own research line and research group - supervise PhD students - acquire external funding - promote the societal relevance of your research - teach in and contribute to the development of the degree programs of the School of Science and Engineering, especially courses with computing science content - contribute to the organization of the faculty, for example by participating in working groups and committees, in the domains of teaching, research and management. The position will be embedded in the Intelligent Systems research unit. Our research areas include biologically inspired computational modeling, the theory of machine learning and algorithmic development, as well as image processing with mathematical morphology, machine learning and AI. National and international research collaborations span a multitude of application domains, including medical sciences and health care, natural sciences (astronomy, bioinformatics), remote sensing, computer vision, robotics, smart industry and engineering. About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 37,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Kind regards, Kerstin -- Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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Advanced Electrophysiology Post-doc Position Available - Interventional Psychiatry Program, Minneapolis, MN, USA
by Hiba Sheheitli Aug. 1, 2023

Aug. 1, 2023

*About the Job* Dr. Ziad Nahas (Interventional Psychiatry Lab) in the University of Minnesota Department of Psychiatry and Behavioral Sciences is seeking an outstanding candidate for a postdoctoral position to conduct and analyze the effects of neuromodulation on brain activity in mood disorders. Candidates should be passionate about advancing knowledge in the area of translational research of depressive disorders and other mental health conditions with a focus on invasive and non-invasive brain stimulation treatments. The position is available June 1, 2023, and funding is available for at least two years. *Qualifications* Required Qualifications: ●PhD in relevant field (neuroscience, psychology, cognitive science) ●Strong programming and/or data analysis skills. MATLAB or Python is essential. C/C++ (and derivatives), LabVIEW, and scripting languages could be useful. Prior experience with data acquisition hardware including behavioral as well as EEG would be helpful. Proficiency with Microsoft Office software ●Experience with neurophysiology (human or animal), psychophysics and/or brain stimulation is ideal. ●Excellent verbal and written communication skills, with specific documentation of those skills through published work and oral scientific presentations. ●Demonstrated ability to work independently and to independently overcome complex technical challenges. ●Interpersonal skills appropriate for collaboration in a very multidisciplinary and highly diverse environment. Preferred Qualifications: •Previous experience with psychiatric patient populations, the biological mechanisms of mental illness, and/or medical device development. •Signal processing and/or computer science background. •Previous experience with human functional imaging or electrophysiology. *About the Department* Dr. Ziad Nahas’s Lab is located primarily at the Interventional Psychiatry Program’s St. Louis Park clinic, with additional study activity at UMN and M Health Fairview sites on the UMN campus. Our work focuses on advancing translational research of mood dysregulation and depressive disorders. Specific interests and areas of expertise include: ● Improving patient care of treatment resistant disorders using neuromodulation techniques. ● Functional neuroimaging (fMRI), electroencephalography (EEG) and brain stimulation modalities: Transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), vagus nerve stimulation (VNS), prefrontal cortical stimulation (PCS), deep brain stimulation (DBS), electroconvulsive therapy (ECT) and focal electrically administered seizure therapy (FEAST). ● Increasing equitable access to neuromodulation interventions for patient care. To learn more about Dr Ziad Nahas and the Department of Psychiatry & Behavioral Sciences, please visit: https://med.umn.edu/bio/psychiatry/ziad-nahas *Apply here: * https://hr.umn.edu/Jobs/Find-Job <https://hr.umn.edu/Jobs/Find-Job> (Click on External Candidates and search for 355003 to find the Job Posting)

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NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems"
by Rava A. da Silveira July 30, 2023

July 30, 2023

NeurIPS Workshop: "Information-Theoretic Principles in Cognitive Systems" CALL FOR PAPERS Website (with submission information): https://sites.google.com/view/infocog-neurips-2023/call-for-papers Contact: infocog.neurips2023(a)gmail.com Important Dates: * Paper submission deadline: September 20, 2023 * Author notification: October 27, 2023 * Camera ready deadline: November 27, 2023 The second InfoCog@NeurIPS workshop aims to further the understanding of information flow in cognitive processes and neural networks models of cognition by bringing together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, and information theory. This is the second workshop of this kind in NeurIPS. This year the workshop will continue last year’s community-building momentum and will additionally focus on advancing two main goals: First, providing a fruitful platform for discussing formulations of storage and processing of information in human and artificial cognitive systems, via information-theoretic measures. Specifically, we aim to further integrate information theory researchers in such discussions, deepening the mathematical knowledge and tools shared across disciplines. [NZ1] Second, facilitating research on addressing the challenges of computing information theoretic quantities, specifically for the needs of cognitive science and machine learning. We invite short submissions (up to 4 pages – NeurIPS format) that present original work related to information theory and cognitive systems, and particularly encourage submissions of collaborative interdisciplinary work. Examples of specific topics of interest include but are not limited to: * Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) * Method and approaches for the validation of information theoretic formalisms in human and artificial cognition * Novel methods and approaches for the computation and/or estimation of information theoretic quantities and their applications to human and artificial cognition * Challenges and limitations of the use of information theory in studying cognitive systems * Application of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans All accepted papers will be presented in a poster session during the workshop, and a number of papers will also be selected for an oral presentation. We expect to have limited resources to offer financial aid to selected participants. More details will follow upon acceptance.

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Postdoc in computational modeling at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo July 27, 2023

July 27, 2023

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities.  Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Prof. Vinod Menon at  scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:93b74359-266e-493c-9def-d9fb37f515df]

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PhD position at the TU Delft at the crossroads of machine learning and hardware design
by justin＠dauwels.com July 27, 2023

July 27, 2023

Dear colleagues, We are looking for a highly motivated Ph.D. candidate with a background in machine learning and/or in electrical engineering for a project at the TU Delft at the crossroads of machine learning and hardware design. Building autonomous agents that can reliably compute and take decisions in noisy and uncontrolled environments is among the top research areas in today's artificial intelligence (AI). Yet, doing so within constrained power budgets for battery-operated edge devices is currently an open challenge. Indeed, while current cutting-edge deep-learning approaches can now reach acceptable performance in such environments, they are still subject to adversarial attacks and need a backend of GPU clusters, thereby requiring 4 to 6 orders of magnitude more power than is allowed for by the edge power budgets. On both ends of the spectrum of learning algorithms are the error backpropagation algorithm, i.e. the workhorse of modern deep learning, and local Hebbian learning rules, which are inspired by the brain's synaptic plasticity mechanisms. The former offers excellent performance but its energy/memory footprint is incompatible with low-power edge devices, while the latter allows for low-cost hardware implementations but can hardly be deployed beyond toy problems. In this PhD project, you will tackle this challenge by: * developing a theoretical framework that will allow exploring and generating, in a use-case-driven fashion, emerging learning algorithms that combine the strengths of local brain-inspired learning and backprop, * with a hardware/algorithm co-design approach, developing custom neuromorphic silicon prototypes (digital, then mixed-signal) for the proposed learning rules * investigating the deployment of these adaptive prototypes in resource-constrained use cases at the edge, such as brain implants for seizure detection. This project is a collaboration between Dr. Charlotte Frenkel (neuromorphic hardware, hardware/algorithm co-design, brain-inspired machine learning) and Dr. Justin Dauwels (Bayesian machine learning, computational neuroscience, biosignal processing). About the Department of Microelectronics at TU Delft: https://microelectronics.tudelft.nl/ About the CogSys research lab: https://ei.et.tudelft.nl/Research/theme.php?id=63 The expected starting date is 01/11/2023 and deadline for application is 01/09/2023. For more information and to apply, please visit this website <https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details? jobId=13043&jobTitle=PhD%20Position%20in%20Bio-plausible%20Local%20Learning% 20Rules%20for%20Adaptive%20Neuromorphic%20Hardware> . Greetings, Justin. _______________________________________________________________ Justin Dauwels j.h.g.dauwels(a)tudelft.nl <mailto:j.h.g.dauwels@tudelft.nl> Associate Professor http://cas.tudelft.nl/ Fac. EEMCS Section Circuits and Systems Mekelweg 4 2628 CD Delft, The Netherlands _____________________________________________________________________

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi July 26, 2023

July 26, 2023

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Call for Abstract Submission FRoBio: Freiburg Robotics and Biology Conference
by Timo Oess July 24, 2023

July 24, 2023

Dear all, We are pleased to announce the FRoBio: Freiburg Robotics and Biology Conference - Bringing together nature and technology. The conference will take place on 22nd of November until 24th of November 2023 at the University of Freiburg, Germany. The event brings together international experts of different disciplines, such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics, and robotics to share so far untackled research questions or current challenges, novel methods and approaches that are applicable for multiple fields or interdisciplinary research. Abstract submission is now open for in-person participants and the deadline is September, 8th 2023. The registration for online participants will be open in October 2023. For further information on the conference and In-Person / Online Registration please visit the conference website. <https://www.frias.uni-freiburg.de/de/veranstaltungen/nachwuchskonferenzen/F…> We are looking forward to seeing you at FRoBio in November 2023! Best regards, The Organizing Committee

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Apply to the Allen Institute's OpenScope program
by Anton Arkhipov July 24, 2023

July 24, 2023

Dear Colleagues, Applications are now accepted for the Allen Institute's OpenScope program. Please apply! The OpenScope program, supported by the NIH BRAIN grant U24NS113646, provides the neuroscience community access to the Allen Brain Observatories. The program was inspired by astronomical observatories, which allow a community of scientists to access platforms too large or expensive for most laboratories. Through OpenScope, anyone can propose experiments for Allen Institute staff to run on Allen Institute pipelines. If selected, the proposed experiments are performed with the Allen Institute's verified, reproducible, and open protocols for cutting-edge behavioral training, in vivo Neuropixels electrophysiology, or two-photon calcium imaging. Data produced from the experiments is then shared with applicants, and, eventually, the broader community. How to apply? The program uses a double-blinded proposal review. Individuals or teams draft and submit a proposal, with an applicant commitment to perform data analysis and pursue publication. * RFP released July 10, 2023 * 2pg Letter of Intent Due: September 12th 2023 * 6pg Full Proposal Due: November 7th 2023 * For more details: https://alleninstitute.org/division/mindscope/openscope/ * If any questions or to discuss projects, please reach out to openscope(a)alleninstitute.org<mailto:openscope@alleninstitute.org> New for 2023: Community Proposal Research Questions and Experimental Methods are proposed and voted on by the community in an open, collaborative process. The resulting data is immediately available to the community for anyone to analyze and publish. * Posted on Allen Brain Map Community Forum: https://community.brain-map.org/ * Opportunity announced in June 2023 * Research Question Phase: June-July 2023 * Methods & Analysis Phase: July-September 2023 * Final Vote by the community in November 2023 during SFN Best wishes, Anton. Anton Arkhipov Investigator Allen Institute, Seattle, WA

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ICANN 2023 - Call for Participation
by Sebastian Otte July 23, 2023

July 23, 2023

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 !!! EARLY BIRD REGISTRATION ENDS ON JULY 25 !!! Conference 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 SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 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 are 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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Mathematical Bridges for the Brain: Krembil Computational Neuroscience Symposium (October 2--3, 2023; Toronto, Canada)
by De Pitta, Maurizio July 23, 2023

July 23, 2023

Dear colleagues, Please mark your calendars for this fall's Krembil Computational Neuroscience Hub Symposium on "Mathematical Bridges for the Brain: Theory and Practice in Neural Health and Disease," which will happen on October 2--3, 2023, hosted by the Krembil Research Center in Toronto, Canada. The Symposium has been thoughtfully crafted to showcase cutting-edge computational approaches that bridge across various brain scales, ranging from cellular to systems neuroscience, with a particular focus on translational and clinical applications. By bringing together prominent experts from the intersection of mathematics, engineering, clinical, and experimental neurosciences, we aim to delve into the depths of the latest computational methods in understanding brain pathophysiology. Speakers include: Emery Brown (Harvard/MIT) Maurizio De Pitta (Krembil / Basque Center for Applied Mathematics) Brent Doiron (UChicago) Salvador Dura-Bernal (SUNY) Lorraine Kalia (Krembil, UHN) Rahul Krishnan (UToronto) Milad Lankarany (Krembil/UToronto) Jérémie Lefebvre (UOttawa/Krembil) Wilten Nicola (UCalgary) Annabelle Singer (Georgia Tech/Emory) In keeping with the long-standing tradition of the KCNhub, the Symposium is not just a platform for academic exchange; it also presents a wonderful opportunity for networking and forging connections with fellow computational neuroscientists and digital medicine enthusiasts Please visit the Eventbrite site for further details on the program and registration https://www.eventbrite.ca/e/krembil-computational-neuroscience-kcn-symposiu… Due to the limited number of seats available, registration is free but mandatory. Looking forward to seeing you in Toronto this fall. On behalf of the Organizing Committee. Maurizio De Pitta ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Neuronal data scientist position
by Nikolas Karalis July 23, 2023

July 23, 2023

If you are a data scientist, programmer, or engineer, with a keen interest in helping to understand the brain, consider joining our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). We study the principles of neuronal circuit organization and brain dynamics. Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity and communication between brain regions during behavior. To achieve our goals, we perform large-scale recordings from thousands of neurons simultaneously using multimodal recordings, including electrophysiological or optical imaging approaches. We employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice to record and manipulate the brain activity during behavior. Using this unprecedented data, we will be able to understand information flow in the brain in ways that would be unimaginable only a few years ago. However, the scale and complexity of this data provide major challenges and unique opportunities. We are looking for computationally-orientated researchers to join our team as temporary or permanent staff members, to help us develop methods to interact and analyze our multi-dimensional neurophysiological and behavioral data, and to develop innovative analysis approaches and efficient processing pipelines, to accelerate the progress of our research on our path to understanding the brain. As a data analyst in our group, you will interact closely with experimentalists and contribute crucially to the research. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your profile aligns with our research needs, we encourage you to get in touch with us. Profile - Outstanding analytical and quantitative skills - Interest in neuronal dynamics and computation, behavior, and neural circuits - Ability to analyze multi-dimensional and multi-modal data - PhD or MSc in neuroscience, data science, computer science, applied mathematics, physics, or equivalent combination of degree and experience - Experience with computational statistics, data modeling and analysis, signal processing, and modern machine-learning methods - Solid programming skills and ability to write high-quality, reusable code in Python or Matlab - Experience with software development (e.g., version control, unit testing, databases) is preferable Main responsibilities - Organize data management pipeline - Analyze neurophysiological and behavioral data - Develop analysis methods and software tools to facilitate the analysis of multi-modal and multi-dimensional neurophysiological data - Implement cutting-edge data science approaches (statistical, computational, and ML) for complex neuroscience problems - Create robust and efficient data pipelines to extract, transform, and visualize data - Develop, test, and implement scientific software (e.g., for reproducible analysis pipelines and data storage) - Interact with experimentalists to design experiments and implement analyses - Analyze current technologies, algorithms, models, and methods - As part of your role, you will have the opportunity to collaborate with other teams, attend trainings, mentor students, have independent projects, and present at major relevant conferences (Cosyne, NeurIPS) *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Research technician position
by Nikolas Karalis July 23, 2023

July 23, 2023

We are seeking a passionate and dedicated research technician to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity during behavior. To achieve our goals, we employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice. *Profile* - We are searching for a science enthusiast who recognizes the importance of the foundational work that keeps a lab thriving. - Responsibility, attention to detail, and high motivation. - Exceptional organizational and communication skills are a must. - As a valuable team member, you will tackle lab-related issues independently, fostering a friendly and dedicated work environment. - Your record-keeping and computer skills will be essential, as will your fluency in English. Fluency in French is a plus. - While prior experience in specific neuroscience techniques (such as stereotaxic surgeries, behavior, and histology) is advantageous, it is not mandatory, as training will be provided. - However, candidates should have completed relevant technical training or hold a university degree in biological sciences (or equivalent). - Applicants with an M.Sc. or Ph.D. are encouraged to apply. - A desire to learn new techniques and apply them with high standards, coupled with a strong work ethic and reliability, will be crucial. - Experience in neuroscience techniques such as stereotaxic surgeries, behavioral experimentation, and histological processing is highly desired. *Main Responsibilities* - As a research technician, you are at the epicenter of our research activities and you will serve as a point of reference of the lab know-how across generations of lab members. - As a hands-on research technician, your primary responsibilities will include organizing the laboratory, maintaining basic lab infrastructure, performing routine tasks, regularly updating lab databases, ensuring the lab runs efficiently, and contributing to the team's research efforts. - Collaborating closely with the team, you will contribute to ongoing research projects and you will conduct behavioral and optogenetic experiments, carry out stereotaxic surgeries, and handle histological processing, including tissue slicing, immunostaining, and fluorescent microscopy. - You will be responsible for learning, developing, and passing on Standard Operating Procedures (SOPs) for the techniques utilized in our lab. - Additionally, in coordination with the head of the animal facility, you will supervise and ensure adherence to animal welfare guidelines, as well as maintain project permits and annual reports. - This role provides the opportunity to lead and participate in research projects to the extent of your desire. *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. As part of your role, you will receive extensive training in traditional and cutting-edge neuroscience techniques related to mice. If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. - We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Postdoctoral researcher position
by Nikolas Karalis July 23, 2023

July 23, 2023

We invite applications for postdoctoral researchers to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM) to study the principles of neuronal circuit organization and brain dynamics. If you are an ambitious and driven researcher, interested in experimental or computational systems and circuits neuroscience, and seeking an environment that fosters intellectual and professional growth, we invite you to consider joining our team. Together, we'll make a lasting impact on science and pave the way for your successful research career. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your project ideas align with our research focus, we encourage you to get in touch with us. *Research Topics* We are interested in how neuronal circuits are organized and how the collective action of neurons gives rise to the emergent complex brain dynamics and behavior. We focus on how neurochemicals and bodily signals influence the brain. - We study how the simultaneous release of neuromodulators <https://www.neuronaldynamics.eu/research/research-topics/neuromodulators> influences the activity of neurons and the coordination of brain regions - We also study how bodily signals, such as breathing <https://www.neuronaldynamics.eu/research/research-topics/breathing>, serve as fundamental elements of the oscillatory circuit architecture - We employ our approach to study the brain dynamics during behavior and sleep <https://www.neuronaldynamics.eu/research/research-topics/sleep-memory-conso…> and their involvement in the transformation of fleeting experiences into long-term memories To answer these fundamental questions about the nature and function of the brain, we combine a range of cutting-edge neurotechnologies <https://www.neuronaldynamics.eu/research/techniques> that enable us to observe and control the activity of the brain. We aim to identify and explore the fundamental principles of neural circuit organization and apply our understanding for the improvement of the human condition. Pure experimental, as well as computational/theoretical, or hybrid projects are available, depending on your interest and skills. *Profile* We are particularly interested in researchers with one or more of the following: - Background in neuroscience, physics, mathematics, computer science, or biology - Experience with rodent neuroscience - *Experience with in vivo* or slice electrophysiology, or 1P/2P imaging - Experience with behavioral experimentation Quantitative spirit and proficiency in data analysis and programming are essential for success in our lab. We strongly encourage applications from individuals that have been traditionally underrepresented in the sciences. *Opportunities* As a postdoctoral researcher in our group: - You will be an integral part of shaping our research direction and team culture. You will engage in exciting and meaningful research and will have access to all the tools necessary to push the boundaries of scientific exploration, with our cutting-edge techniques and state-of-the-art facilities. - You will have the opportunity to mentor graduate and master's students. This role enhances your leadership and communication skills while you contribute to the growth of the next generation of scientists. By guiding and collaborating with these aspiring researchers, you contribute to the collective knowledge and expertise of the team. Mentoring fosters a supportive and enriching atmosphere that reduces the mental strain of working alone on a project, as you can share ideas, problem-solve together, and gain fresh perspectives. - You will have ample opportunities to develop vital skills for your future academic career, such as mentoring, grant writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. - We encourage participation in conferences and workshops, where you can present your research findings to the wider scientific community. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research and you will have the opportunity to engage in experiment design and execution, method development, software design, and data analysis, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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OHBM 2023 Educational Course on Whole-Brain Models
by Taha Morshedzadeh July 21, 2023

July 21, 2023

Whole-brain, Connectome-based Models of Brain Dynamics: From Principles to Applications OHBM 2023 Montréal, Canada Do you want to learn how to model the human brain as a complex network of interacting regions? Do you want to discover how network science can help you understand the brain's structure, function, and dynamics? If so, join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications, part of the OHBM 29th Annual Meeting. This course will introduce you to the principles and methods of whole-brain network modelling, a cutting-edge approach that combines data from structural and functional neuroimaging, systems and cognitive neuroscience, dynamical systems and network science, neurology and psychiatry, computational neuroscience, and machine learning. You will learn how to use network models to simulate the brain's activity, explore its emergent properties, and test hypotheses about its mechanisms and disorders, and to lastly build subject-specific models that could be used for personalized mental health care. In the hands-on sessions, you will also have the opportunity to model electroencephalography (EEG), magnetoencephalography (MEG), and blood oxygen level dependent (BOLD) data, in projects that are designed to address ongoing critical research questions in computational neuroscience. You will be guided through the material by the instructors and the TAs in learning and performing the modelling and analysis tasks. This course is designed for researchers who have some background in neuroimaging and computational neuroscience, but who want to extend their knowledge and skills in whole-brain network modelling. It will also be useful for anyone who is curious about this exciting and rapidly growing field. Register now and join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications: https://griffithslab.github.io/OHBM-whole-brain-modelling-course/ Time: Saturday, Jul 22: 8:00 AM - 5:00 PM Organizers: Davide Momi, Joana Cabral, John Griffiths Speakers: Viktor Jirsa, Joana Cabral, Sorenza Bastiaens, Michael Breakspear, James Mac Shine, Laura Suárez, Borana Dollomaja, Leon Stefanovski Venue: Room #516DE - Palais des congrès de Montréal, Montréal, Canada. 29th Organization for Human Brain Mapping Conference (OHBM) Conference. Registration: Directly through OHBM, more info at this link: ww6.aievolution.com/hbm2301/index.cfm?do=ev.viewEv&ev=1192

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Postdoc position Cluster for advanced study of collective behavior at University of Konstanz
by Ahmed Elhady July 21, 2023

July 21, 2023

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Registration open: FSL Course 2023 - Sept 11th-22nd
by Rezvan Farahibozorg July 20, 2023

July 20, 2023

Dear all, We are pleased to announce that registration is now open for FSL Course 2023, which will be held *fully online*, 11th - 22nd September 2023. You can find details and registration info here: https://open.win.ox.ac.uk/pages/fslcourse/website/ To strike a balance between broad accessibility and the benefits of in-person interaction, the FSL Course intends to follow an approximately alternating pattern of fully in-person and fully online courses. The only option to attend the course in 2023 will be this online course. Both new and existing users of FSL are welcome on the course, as it aims to cover both basic and more advanced features of FSL. The course covers the theory and practice of functional, structural, diffusion and resting state brain image analysis, with recorded lectures and live practical sessions where attendees learn how to carry out analysis for themselves on real data, with access to experienced tutors available throughout each session. To accommodate different time zones, there will be two parallel courses repeating the same content. Each session will consist of a self-paced practical, with guidance available from our expert tutors via Zoom (or equivalent), and all FSL software and course data pre-installed and ready to go on a cloud-enabled virtual desktop. All lectures will be pre-recorded and available as video podcasts, and speakers will be available for questions and discussions. You would need your own computer/laptop/tablet that can do video conferencing and host the remote desktop client, as well as a reasonable internet connection that is good enough for video conferencing. If your institute is at a low/middle income country, you will also be able to request a discount, as instructed on the registration page. We hope to see you at the course! The FSL Course team

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Computational Neuroscience Postdoc Positions
by Neymotin, Samuel (NKI) July 19, 2023

July 19, 2023

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded NIH and DoD grants. Our NIH-funded projects investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI and Columbia (Noelle O’Connell, Charlie Schroeder, Dan Javitt) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies for inducing/suppressing circuit patterns, testable in vivo. Related projects include investigating the origin of electrophysiology patterns observed in the auditory system of animal models of schizophrenia (biomarkers including mismatch negativity and altered oscillatory patterns), and using modeling to predict their circuit-level origins and potential treatments. Recent related publications (https://www.biorxiv.org/content/10.1101/2022.02.03.479036v2.abstract , https://www.eneuro.org/content/9/4/ENEURO.0281-21.2022.abstract , https://www.sciencedirect.com/science/article/pii/S0006322319318517) Our DoD project involves developing computational models of the hippocampal and entorhinal cortex circuitry used in spatial navigation, higher level decision making circuits, and integrating the models with agents learning to solve navigation tasks using neurobiologically-inspired learning rules. This project includes mathematicians and robotics researchers at UTK and CMU. Recent related publications (https://www.frontiersin.org/articles/10.3389/fncom.2022.1017284/full , https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265808) Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samnemo(a)gmail.com) The position requires presence at NKI (New York), with part telecommuting. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Fabian Braesemann July 19, 2023

July 19, 2023

12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS ● Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK ● Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA ● Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy ● Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA ● Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain ● Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS ● Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria ● Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ● Papers will be included in the conference proceedings edited by Springer ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: * Models of Complex Networks * Structural Network Properties and Analysis * Epidemics * Community Structure * Motifs * Network Mining * Network embedding * Machine learning with graphs * Dynamics and Evolution Patterns of Complex Networks * Link Prediction * Multilayer Networks * Controllability * Synchronization * Visual Representation * Large-scale Graph Analytics * Social Reputation, Influence, and Trust * Information Spreading in Social Media * Rumour and Viral Marketing in Social Networks * Recommendation Systems * Financial and Economic Networks * Mobility * Biological and Technological Networks * Mobile call Networks * Bioinformatics * Earth Sciences Applications * Resilience and Robustness of Complex Networks * Networks for Physical Infrastructures * Networks, Smart Cities and Smart Grids * Political networks * Supply chain networks * Complex networks and information systems * Complex networks and CPS/IoT * Graph signal processing * Cognitive Network Science * Network Medicine * Network Neuroscience * Quantifying success through network analysis * Temporal and spatial networks * Historical Networks * Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

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1st CFP IV Latin American Workshop on Computational Neuroscience (LAWCN 2023) - Institution University of Envigado, Colombia - 28 - 30 Nov 2023
by Jaime Andres Riascos Salas July 18, 2023

July 18, 2023

CALL FOR PAPERS Paper Submission Deadline: August 1, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. www.lawcn.co Contact: lawcn(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking for enhancing the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Also, Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Best papers that are related to Computer Science will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue "Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind" to be published in the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index ISSN 2011-7922). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. The Workshop will consist mainly of the following activities. * A presentation of up to 8 key researchers of international and national renown. * A round table to widely discuss gender diversity in Neuroscience. * Oral presentations of accepted papers by their authors. * Poster session. Conference chairs * Jaime A. Riascos, Institution University of Envigado(IUE), Colombia * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization * Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil * Vinicius Cota Federal University São João do Rei (UFSJ), Brazil * Marta Molinas NTNU, Norway * Edwin Moncada Institution University of Envigado, Colombia * Jonier Rendón Institution University of Envigado, Colombia * Efraín Buriticá Universidad del Valle - COLNE * Pablo Reyes Pontificia Universidad Javeriana - Colne * Hernán Villota Institution University of Envigado, Colombia * Daniel Betancourt Institution University of Envigado, Colombia * Catalina Alvarado Pontificia Universidad Javeriana * Paula Herrera Universidad Tecnológica de Pereira Keynote Speakers * Prof. PhD. Norberto García Caraisco (USP, Brazil) * Prof. PhD. Salvador Dura-Bernal (SUNY, USA) * Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) * Prof. PhD. Fabien Lotte (INRIA, Francia) * Prof. PhD. Jose M. Azorin (Universidad Miguel Hernández de Elche, Spain) * Profa. PhD. Marta Molinas (NTNU, Noruega) * Profa. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) * Profa. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Roundtable * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Important dates. Paper submission deadline: August 1st, 2023 Notification of acceptance (paper): September 30, 2023 Camera-ready (paper): October 31, 2023, Abstract submission deadline: September 1st, 2023 Notification of acceptance (abstract): September 30, 2023 Camera-ready (abstract): October 31, 2023. Workshop: November 28-30, 2023 (IUE, Envigado, Colombia) More Information: www.lawcn.co Best regards and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor - IUE

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Ph.D. position in Theoretical and Applied Neuroscience - Deadline 4th of August.
by Russo, Eleonora July 17, 2023

July 17, 2023

One Ph.D. position available within the National Ph.D. Program in “Theoretical and Applied Neuroscience”. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics<https://www.santannapisa.it/en/institute/biorobotics> Institute of Sant'Anna School of Advanced Studies, Pisa (Italy). Information about the call can be found here<https://www.unicam.it/bandi/2023/bando-47966-del-5-luglio-2023>. The deadline for applying to the position is the 4th of August. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2023/07/All1-Topic%20list_P…> under ‘Code 4.5’. Project title: Functional modeling of brain dynamics: investigation of cognitive functions through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modeling, dynamical system reconstruction, RNN, statistical mechanics Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description: Understanding the dynamical system governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been suggested as simplified models of the cortex. Recently, owing to remarkable advancements in the field of machine learning, RNNs' inherent ability to capture temporal dependencies has been leveraged to develop tools for approximating unknown dynamical systems directly by training on observed time-series data. Concurrently, improvements in electrophysiological recording techniques have enabled the simultaneous recording of hundreds of neurons in animals performing complex behavioral tasks. These parallel developments present a unique opportunity to characterize comprehensively population dynamics and parametrize the neuronal manifold, thereby constructing functional models of cognitive functions. The objective of this research project is to further refine RNN-based algorithms, tailoring them to investigate neuronal dynamics, and applying them to experimental data. Research team and environment The Ph.D. student will carry out his/her studies at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. During the second year of the Ph.D., the student might be able to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has computational and programming skills (ideally, knowledge of Matlab and/or Python), a strong interest in neuroscience, and a background in physics/math/biomedical engineering. The ideal candidate must also be able to carry out his/her work in a diligent, independent, and highly collaborative manner. Best wishes, Eleonora --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 28 August
by Alessandro Treves July 17, 2023

July 17, 2023

Up to 5 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2023. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 28 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini

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Hybrid Workshop "Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind" (September 19-22, 2023)
by David Rotermund July 14, 2023

July 14, 2023

We would like to invite you to participate in our excellence workshop *‘Cortical Prostheses – Interdisciplinary Research Towards Artificial Vision for the Blind’*. It will take place *September 19-22, 2023 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany)*. As you might know quite well from your own experience, it is a huge problem to interface with the brain and to successfully introduce artificial, meaningful signals into on-going neural information processing. On the other hand, exciting possibilities in medical and fundamental research are waiting to be explored and to be realized. In particular, it becomes more and more obvious that making communication with the brain more efficient requires a much more profound understanding about 'normal' visual information processing in healthy subjects. This workshop will address major topics and challenges in this field: ** Advances in neurotechnology** *** Advances in the understanding of visual information processing** *** Novel methods for combining theory and technology* Our workshop will bring together experimentalists, technologists, medical scientists, and theoreticians who are the experts in getting meaningful signals into neuronal circuits actively engaged in information processing. Speakers include *Diego Ghezzi, Pieter Roelfsema, Eduardo Fernandez Jover, Bogdan Raducanu, Arto V. Nurmikko, Umut Guclu, Christopher Pack, Michael Herzog, Avi Caspi, Shelley I. Fried, Udo Ernst, Fabian Sinz, Carlos Ponce, Theo Doll, Ione Fine, Daniel Yoshor, Michael Beyeler, Björn Lüssem, Schander Andreas, Michael Schmid, and Dirk Jancke.** *** There are two options for attending the workshop: *a.) On-site at the Hanse-Wissenschaftskolleg in Delmenhorst (limited number of available slots)*, allowing for in-depth discussions and presentation of your own work in a poster session. The registration fee is 100 Euros and covers participation and catering during the workshop. The deadline for registering for on-site participation is the Sunday, July 23rd. The registration is a two step process: You inform us that you are interested in registering via the webform on https://www.uni-bremen.de/i-see/hwk-workshop or via an email to ajanssen(a)neuro.uni-bremen.de. You will then be contacted by the HWK for finalizing the registration process. b.) *Via Zoom at no cost*. You also need to register via the webform on https://www.uni-bremen.de/i-see/hwk-workshop, and we will send you your access code shortly before the start of the workshop. For more details and information how register please visit: https://www.uni-bremen.de/i-see/hwk-workshop Please feel free to forward the following information to anyone in or outside of your group who you think may be interested in attending our workshop. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

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Professorship (W3) for “Computational Cognitive Science” at Technical University of Darmstadt, Center for Artificial Intelligence & Centre for Cognitive Science
by Constantin Rothkopf July 13, 2023

July 13, 2023

The Department of Human Sciences at the Technical University of Darmstadt invites applications for the position of a Professorship (W3) for “Computational Cognitive Science” starting as soon as possible. The position holder will be a member of the Hessian Center for Artificial Intelligence - hessian.AI ( https://hessian.ai/) and provides research at the Center and will also be a member of the Centre for Cognitive Science ( https://www.cogsci.tu-darmstadt.de/) We are looking for an outstanding scientist who will represent the topic area of Computational Cognitive Science in research and teaching. The scientific focus of the position is on the computational and algorithmic modeling of behavioral data to understand the human mind. Exemplary research topics include, but are not limited to: + computational level models of perception, cognition, decision making, action, and learning as well as extended behavior and social interactions in humans, + algorithmic models that are able to simulate, predict, and explain human behavior, + model-driven behavioral research on human cognition. Successful candidates should demonstrate an outstanding scientific profile, with high-impact research contributions in the area of computational modeling of human behavior. A research profile that is able to interact with current developments in machine learning and artificial intelligence is desired. Candidates are expected to teach these topics in our undergraduate as well as graduate-level programs in Cognitive Science. Furthermore, a proven track record of successful collaboration in international research teams, with industry, or across research disciplines is a plus. The professorship is expected to strengthen the Hessian Center for Artificial Intelligence and TU Darmstadt’s Human Science department’s research focus on Cognitive Science, which belongs to one of the three distinguished research fields of Technical University of Darmstadt (Information + Intelligence). The current faculty at both the Hessian Center for Artificial Intelligence and the Centre for Cognitive Science maintain numerous vibrant collaborations and are jointly involved in several cluster projects, including “The third Wave of AI” and “The Adaptive Mind”. Depending on the candidate’s profile there is the opportunity to participate in joint research projects currently running at TU Darmstadt. This in particular includes the state funded cluster projects “The Adaptive Mind (TAM)” ( https://www.theadaptivemind.de/) and “The Third Wave of Artificial Intelligence (3AI)” ( https://hessian.ai/projects/3ai-the-third-wave-of-ai/) In addition to excellent scientific credentials, we seek a strong commitment to teaching in the department’s Bachelor and Masters programs in Cognitive Science. Experience in attracting third-party funding as well as participation in academic governance is expected. Technical University of Darmstadt is an autonomous university with broad excellence in research, an interdisciplinary profile, and clear focus areas in engineering sciences and information and communication technology. The professorship is a full professorship on a permanent basis. A prerequisite for applying is that additional academic achievements must be present; in general, the doctorate should be more than three years old at the time of application. The position will be remunerated in line with the German “W-Besoldung” and subject to negotiations between the applicant and the university management in accordance with his/her experience and qualifications. The regulations for employment are specified under §§ 67 and 68 HessHG (Hessisches Hochschulgesetz). Technical University of Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. Technical University of Darmstadt is certified as a family-friendly university and offers a dual career program. Please submit applications with the usual attachments (CV including research and teaching achievements, list of publications, scans/copies of diplomas) as well as a research and teaching statement, quoting the code number 380, to the Chair of the Department of Human Sciences, Prof. Dr. Josef Wiemeyer (dekanat(a)humanw.tu-darmstadt.de) For further information or questions please contact Prof. Constantin Rothkopf, PhD, email constantin.rothkopf(a)tu-darmstadt.de. By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage. Application deadline: October 1st, 2023.

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CARLsim 6.1 Spiking Neural Network Simulator Release Introduces Axonal Plasticity
by Jeffrey L Krichmar July 13, 2023

July 13, 2023

Dear Colleagues, We are pleased to announce the 6.1 release of CARLsim. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. CARLsim, which is in its 6th major iteration, is open-source and publicly available. With the release of CARLsim 6.1, we introduce axonal plasticity to simulate the biological phenomenon of experience dependent plasticity to the conductance velocity of axonal signaling. Axonal plasticity appears to be important for synchronization, skill learning, and many other potential applications. More information about the implementation and an example application can be found in our recent IJCNN paper, "Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations", which can be found at: https://www.socsci.uci.edu/~jkrichma/CARLsim61-IJCNN2023.pdf CARLsim 6.1 is available on GitHub: https://github.com/UCI-CARL/CARLsim6 Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-…

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Call for Applications: Join the PLOS Complex Systems Editorial Board
by Hocine Cherifi July 13, 2023

July 13, 2023

View this email in your browser <https://view.e.plos.org/?qs=6649e38711d4711c96cd7e869e54766a9daa683b66a5c2a…> [image: PLOS Complex Systems] <https://click.e.plos.org/?qs=579dc46496e4bc9e96d4e5d02cfb8efd0a166171d7b75d…> *Introducing our new journal **PLOS Complex Systems* *Learn more <https://click.e.plos.org/?qs=e2b3e6764225066938b02c620482dfff92f76aa0ce26be…>* *PLOS Complex Systems* will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. *Explore now* <https://click.e.plos.org/?qs=e2b3e6764225066938b02c620482dfff92f76aa0ce26be…> *Interested in joining the PLOS Complex Systems Editorial Board?* Are you a researcher who believes in breaking boundaries to advance science communication? That research should be open, transparent and fair? If so, you might be a fit for our Editorial Board. *Find out more <https://click.e.plos.org/?qs=e2b3e6764225066957c8972275e7a4bc811c051fda1c66…>* *Meet the Editor-in-Chief* [image: Hocine Cherifi] *Hocine Cherifi* Hocine Cherifi is a distinguished Full Professor of Computer Science at the University of Burgundy in Dijon, France. His primary research interests lie in the fields of Computer Vision Data Science and Complex Networks, and he has made significant contributions to his areas of expertise: as an author of over 250 scientific papers and conference proceedings, assuming leadership roles in more than 20 international conference organizations, and having served on over 100 program committees. *0000-0001-9124-4921* <https://click.e.plos.org/?qs=e2b3e67642250669054c3c2f989934906bf6ecbd83a2a3…> *Stay up-to-date* *Receive regular PLOS Complex Systems news and updates by signing up to our email list.* *Get updates <https://click.e.plos.org/?qs=e2b3e67642250669178bc3cc94ee091d549c4486538890…>*

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Deadline approaching - Bernstein Conference 2023 in Berlin
by Alexander Lammers July 13, 2023

July 13, 2023

***Deadline approaching - Bernstein Conference 2023 in Berlin*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ___ Important Dates * Abstract submission for posters: July 19, 2023, 15:00 CEST * Travel grant applications: July 19, 2023 * Early registration: July 19, 2023 * Bernstein Conference: September 26 - 29, 2023 ___ Registration Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Abstract Submission We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ___ Travel Grants Students, PhD candidates, and postdocs can apply for travel grants. Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ Contact For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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CFP FRCCS 2024 Montpellier, France May 29 – 31, 2024
by Hocine Cherifi July 12, 2023

July 12, 2023

Fourth* F*rench* R*egional* C*onference on* C*omplex* S*ystems May 29 – 31, 2024 Montpellier, France *FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> After successfully hosting the conference in Dijon in 2021, Paris in 2022, and Le Havre in 2023, the fourth edition of the French Regional Conference on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This international conference organized by CSS France <https://www.cssfrance.org/> serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2024 provides a valuable opportunity for participants to meet in France, exchange and promote ideas, facilitating the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. Join us in Montpellier as we collectively strive to better understand complexity and its implications for society. You are cordially invited to submit your contribution until *February 21, 2024.* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: · *Papers* about *original research* (up to 12 pages) · *Extended Abstract* about published or unpublished research (3 to 4 pages). *Publication* o Contributions will be included in the conference proceedings (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Complexity, <https://www.hindawi.com/journals/complexity/?utm_source=google&utm_medium=c…> edited by Hindawi *Topics include, but are not limited to: * · *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Roberto Interdonato CIRAD, UMR TETIS, Montpellier Bruno Pinaud LABRI University of Bordeaux

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CNS 2023 Workshop on Low-dimensional manifolds of neural dynamics
by Richard Gast July 12, 2023

July 12, 2023

Dear members of the computational neuroscience community, If you are attending CNS 2023 this year and are interested in recent experimental and computational results on the relationship between behavior, neural computations, and low-dimensional neural dynamics, consider joining our workshop on "*Low-dimensional manifolds of neural dynamics and their role in brain function*" at the last day of the conference! Our line-up: - Juan Alvaro Gallego - Lea Duncker - Brian DePasquale - Bill Podlaski - Adrian Valente - Ann Kennedy More information can be found here: https://cns2023.sched.com/event/1Kd7M/w13-low-dimensional-manifolds-of-neur… We are looking forward to seeing you in Leipzig, Richard Gast and Helmut Schmidt -- *Richard Gast, PhD* Research associate at the Laboratory for Theoretical Neuroscience and Behavior Morton 5-630 Department of Neuroscience Feinberg School of Medicine Northwestern University phone: +18728026786 mail: richard.gast(a)northwestern.edu twitter: @rich_gast website: www.richardgast.me

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CNS 2023 Tutorial on Dynamical Systems Methods in Neuroscience
by Richard Gast July 12, 2023

July 12, 2023

Dear members of the computational neuroscience community, I would like to draw your attention to a tutorial that Hil G.E. Meijer, Bastian Pietras, and I will offer at the first day of CNS 2023: "T09 - Applied Dynamical Systems Methods in Neuroscience''. In this tutorial, we will explain basic dynamical systems concepts and analysis methods at the example of single neurons, neural networks, and mean-field equations of neural networks. The main goals of the tutorial are (i) to provide the audience with an intuition of how neural systems can be studied via mathematical models and dynamical systems concepts, (ii) to explain how we can analyze parameter dependencies of these mathematical models via parameter continuation and bifurcation analysis, and (iii) to provide numerical recipes, and software solutions to carry out these analysis methods. For more details on the tutorial, have a look at our website: https://cns2023.sched.com/event/cbd810bd0ffd6a59869a5f89fbf17b58 If you are planning to participate in the hands-on sessions, I advise you to follow the preparation instructions on that website! See you in Leipzig, -- *Richard Gast, PhD* Research associate at the Laboratory for Theoretical Neuroscience and Behavior Morton 5-630 Department of Neuroscience Feinberg School of Medicine Northwestern University phone: +18728026786 mail: richard.gast(a)northwestern.edu twitter: @rich_gast website: www.richardgast.me

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CNS*2023 Tutorial: "Modeling astrocytes and neuron-astrocyte interactions"
by Giulio Bonifazi July 12, 2023

July 12, 2023

Dear Colleagues, We are delighted to announce a full-day tutorial session on “Modeling astrocytes and neuron-astrocyte interactions" at the upcoming CNS*2023 meeting in Leipzig, Germany. This tutorial will cover a range of topics related to astrocyte modelling including calcium signaling, volume control, synaptic activity, and network-level interactions with neurons. Here are the details of our tutorial session: Title: "Modeling astrocytes and neuron-astrocyte interactions”. Date: Saturday, July 15th. Location: Schumann Room (Kongresshalle am Zoo). For more information about the speakers, sessions, and the exact schedule, please visit our tutorial website at https://sites.google.com/view/astrotutorial. If you plan to attend, please remember to select our tutorial from the virtual program guide on Sched at https://sched.co/1Kd3X (Tutorial session T04). Thank you for your attention, and we hope to see you in Leipzig! Best regards, Giulio Bonifazi Ph.D. Student University of the Basque Country (UPV/EHU) gbonifazi001(a)ikasle.ehu.eus <mailto:gbonifazi001@ikasle.ehu.eus>

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2023 SPARC FAIR Codeathon: apply and choose a project!
by Elisabetta Iavarone July 12, 2023

July 12, 2023

Dear all, The Common Fund SPARC program, has an upcoming Codeathon that may be of interest for the comp-neuro community. The third annual virtual SPARC Codeathon will take place from *August 5-7*. This global prize competition is currently recruiting participants to make SPARC data and resources <https://sparc.science/> more Findable, Interoperable, Accessible, and Reusable (FAIR). Any interested participant can join projects spanning data visualization, simulation tool development, python workflow creation, and more to compete for $50,000 in prizes. Follow this link to learn more and sign up today! https://bit.ly/Codeathon-SPARC Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

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Applications open: 2023 SPARC FAIR Codeathon
by INCF July 12, 2023

July 12, 2023

2023 SPARC FAIR Codeathon When: 05/08/2023 to 07/08/2023 Where: Virtual Join the third global SPARC “FAIR” Codeathon <https://sparc.science/news-and-events/events/2023sparc-codeathon>, a three-day virtual event this August 5th-7th! The SPARC Data and Resource Center, with funding from the National Institutes of Health, will host a 3-day in-the-cloud Codeathon. It is free to enter and has a total prize pool of US$50,000 (including cash prizes and manuscript publication fees). Competitors from the United States and abroad are eligible. We encourage researchers and data scientists at any stage of their scientific journey to apply. Before the event we will create up to 30 teams of five to six individuals, each with various backgrounds and expertise, led by an experienced leader. The teams will greatly benefit from anyone with the following skills: - Understanding of neuroscience and/or neurostimulation - Data visualization - Data mining, image and text analysis - Working knowledge of scripting languages (eg., Shell, Python, R) - Familiarity with methods of manipulating and/or analyzing large datasets ( AI/ML, computational modeling, etc.) - Developing bioinformatics code, pipelines or tools - Knowledge graphs - Web development Applications are due 20/07/2023. More info here <https://sparc.science/news-and-events/events/2023sparc-codeathon>. Questions? Contact fair-codeathon-support(a)sparc.science What is SPARC? The Stimulating Peripheral Activity to Relieve Conditions (SPARC) <https://commonfund.nih.gov/sparc> program is supported by the NIH Common Fund <https://commonfund.nih.gov/> to provide a scientific and technological foundation for future bioelectronic medicine devices and protocols. The goal of the SPARC program is to identify neural targets and accelerate the development of therapeutic devices that modulate electrical activity in the vagus and other nerves to help treat diseases and conditions, such as hypertension and gastrointestinal disorders, by precisely adjusting organ function.

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Postdoc position in Computational Neuroimaging of the Cerebellum (Western University, Canada)
by Jorn Diedrichsen July 12, 2023

July 12, 2023

The Diedrichsen Lab<http://www.diedrichsenlab.org/> is looking to recruit a new postdoctoral associate with interest in studying the human cerebellum. The successful candidate will join an inter-disciplinary research group that uses behavioral, neuroimaging, and computational approaches to investigate the role of the cerebellum in motor control, cognition, and language<https://www.diedrichsenlab.org/res_cerebellarfunction.htm>. Our approach is to use Big Data and Machine Learning to gain insight about the overall functional organization of the cerebellum, which then informs targeted imaging and behavioural experiments. The enthusiastic and supportive environment will enable the candidate to develop their own research program. The lab is located in the Western Institute of Neuroscience in London, Ontario, Canada, and is part of the Sensorymotor Superlab<https://superlab.ca/about/> and the Computational Brain Sciences group<https://www.uwo.ca/bmi/cbs/> at Western. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 70 Principal Investigators and 200 trainees. High-resolution imaging at 9.5T, 7T, and 3T is available in-house. Full application details can be found here<http://www.diedrichsenlab.org/open_postdoc_cerebellum.htm>. Candidates are encourage to contact us early to arrange a meeting to discuss possible research projects. The deadline for applications is September 4th, 2023. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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CALL-FOR-REGISTRATION CNS*2023 Workshop W11: "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications"
by Julie Courtiol July 11, 2023

July 11, 2023

[image: ‎‎‎‎‎CNS*2023_Workshop_banner_EBRAINS.png] Dear comp-neuro community, Only a few days left before the highly anticipated *CNS*2023 conference* in Leipzig, Germany. Have you made up your mind about which workshop to attend? We have one in particular that we believe will ignite your curiosity and expand your horizons. Introducing our captivating workshop:* "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications."* This workshop delves into the fascinating world of personalized brain network modeling and its potential applications in clinical contexts. Join us as we explore the interdisciplinary aspects of computational and clinical neuroscience, digital infrastructure, reproducible research, and ethical considerations surrounding human digital twins. We have carefully curated a program filled with insightful presentations and engaging discussions led by experts in the field. It's an incredible opportunity to gain valuable knowledge and connect with like-minded individuals who are passionate about advancing computational neuroscience. *Date: Wednesday, July 19* *Time: Full day* (check the conference program for specific session timings) To learn more about our workshop, please visit our workshop webpage: https://www.brainsimulation.org/bsw/zwei/events/single/12404-32nd-annual-co… If you are interested in attending this workshop, please indicate your interest by ticking the box on this page: https://sched.co/1Kd7G To register for the CNS*2023 event as a whole, please visit the official registration page here: *https://ocns.memberclicks.net/cns-2023 Don't miss out on this unique opportunity to expand your understanding of personalized brain network modeling. Register now for CNS*2023 and secure your spot in our workshop. Space is limited, so make sure to reserve your place as soon as possible. Indicate your interest in attending our workshop by ticking the box on this page: https://sched.co/1Kd7G We look forward to welcoming you and exploring the frontiers of computational neuroscience together at CNS*2023. ---Best regards, *Dr. Julie Courtiol* Scientific Manager, Brain Simulation Section [image: 1644242313315] Charité - Universitätsmedizin Berlin Berlin Institut of Health Brain Simulation Robert-Kosh-Platz 4 Charitéplatz 1 | 10117 Berlin | Germany julie.courtiol(a)bih-charite.de - www.brainsimulation.org Twitter: @Courtioljulie <https://twitter.com/CourtiolJulie> LinkedIn: juliecourtiol <https://www.linkedin.com/in/juliecourtiol/>

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IMBIZO APPLICATION DEADLINE IS JULY 18TH
by Tim Vogels July 11, 2023

July 11, 2023

Dear colleagues and friends, Given that SONA (the SfN / FENS conference equivalent in Africa is starting today) and that we have a bit of representation there, we have decided to extend the DEADLINE for the next IMBIZO by one week. Apply now to join us at the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information to them. All the best, Tim Vogels IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 18th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 18th July 2023 * References submitted: 24th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Past and future faculty: Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa <https://indabax.co.za/>) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/>, the International Brain Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome Trust, Google Deep Mind, Meta and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, Harvard University, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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GDR Neuralnet announcement
by Pierre-Pascal LENCK-SANTINI July 11, 2023

July 11, 2023

Hello, could you share this message to the community please? Best regards PP Lenck-Santini Dear Colleagues, we have the pleasure to invite you to our annual GDR neuralnet that will take place in Marseille, Campus du Pharo. https://neuralnet2023.sciencesconf.org/ The GDR Neuralnet is a group of French research teams that gather to discuss about how collective neuronal activity underpins the functioning of the nervous system. These labs study a range of biological and artificial neural networks using population recording techniques, analytic approaches, and computational modelling. The goal of the GDR NeuralNet annual meeting, on its 12th edition this year, is to develop and promote synergies between researchers, engineers, and other stakeholders engaged in measuring, manipulating, analyzing and interpreting neuronal activity. Venue The conference will take place on October 11-13, 2023 at the Campus Pharo of Aix-Marseille Université, in the beautiful gardens overlooking Marseille harbor. Program We are still finalizing the program but current confirmed speakers are: * Demian Battaglia * Andrea Burgalossi * Hayriye Cagnan * Matteo Carandini * Ann Clemens * Matteo Di Volo * Mark Humphries * Kate Jeffery * Liset Menendez de la Prida * Marta Moita * Martha Nari Havenith * David Robbe * Marieke Schölvinck * German Sumbre There will also be a few selected talks from submitted abstracts; we encourage submissions from young researchers or young PIs. Registration Registration is now open (take advantage of early registration price)! Bear in mind that there will be a limitation to 180 participants to the conference and places will be assigned on a first come first served basis. The deadline for both early registration and abstract submission is July 20. As usual, ahead of the conference (October 9-10th) there will be an optional and free Minischool for those who registered. The Misischool concerns management tools of large datasets, spike sorting and calcium imaging. It will take place at the Inmed in Luminy (parc national des callanques). https://neuralnet2023.sciencesconf.org/resource/page/id/17 For more information visit: https://neuralnet2023.sciencesconf.org/ Pierre-Pascal Lenck-Santini, Ph.D. , (He/him/his) INMED INSERM/Aix-Marseille Université -- UMR 1249 Parc scientifique de Luminy 163 avenue de Luminy BP13 - 13273 Marseille cedex 09 - France - Tel : +33 (4) 91 82 81 66 https://brainsalsa.fr/

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Announcing SNUFA 2023 workshop: 7-8 November
by Friedemann Zenke July 11, 2023

July 11, 2023

We are happy to announce SNUFA 2023: 7-8 November (online)--your friendly focus meeting on spiking neural networks. Abstract submission is now open! See https://snufa.net/2023 for details. Invited speakers this year: Rodolphe Sepulchre, Melika Payvand, Gabriel Ocker, Jeff Krichmar. As usual, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim at a manageable number of talks with ample time for discussions. SNUFA 2023 is brought to you by Charlotte Frenkel, Emre Neftci, Dan Goodman, and Friedemann Zenke -- https://snufa.net/2023

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PhD position - Comp. Neuro. - Navigation using episodic memory
by Vinita Samarasinghe July 10, 2023

July 10, 2023

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is 20.08.2023. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me 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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Tutorial CNS 2023, T11: Simulation of spiking and BOLD signals using the ANNarchy simulator
by Julien Vitay July 10, 2023

July 10, 2023

Dear colleagues, we would like to draw your attention to the hands-on tutorial entitled "T11: Simulation of spiking and BOLD signals using the ANNarchy simulator” of the upcoming CNS conference held in Leipzig ( https://www.cnsorg.org/cns-2023) The tutorial will take place on Saturday, July 15th in the afternoon session. The ANNarchy neuro-simulator targets the efficient simulation of rate-coded and spiking models on shared memory systems (multi-core, GPU). This tutorial will first introduce the definition of spiking neural networks in ANNarchy through its equation-oriented interface. The tutorial can be done on your laptops using the provided Jupyter notebooks or remotely on colab. The second part will demonstrate how to record BOLD signals from a spiking simulation using various balloon models and optimize the underlying hyperparameters. Registration for the tutorials at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration The tutorial description can be found here: https://cns2023.sched.com/event/1NDRl Useful links: - Source code: https://github.com/ANNarchy/ANNarchy - Documentation: https://annarchy.github.io/ - White paper of the ANNarchy neural simulator: https://www.frontiersin.org/articles/10.3389/fninf.2015.00019/full - BOLD monitoring in ANNarchy: https://www.frontiersin.org/articles/10.3389/fninf.2022.790966/full Best regards Fred Hamker, Helge Ülo Dinkelbach, Julien Vitay -- Professur Künstliche Intelligenz Fakultät für Informatik Technische Universität Chemnitz Straße der Nationen 62 09111 Chemnitz Germany

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T12: Vast parameter space exploration using L2L on EBRAINS
by Michiel van der Vlag July 10, 2023

July 10, 2023

Did you ever wonder how to best go about exploring the parameters space of a dynamic brain model or how you can optimize a task learning network. Or maybe you just want to know how to work with the research infrastructure from the Human Brain Project called EBRAINS and send jobs to a supercomputer from this cloud environment? We cordially invite you to join our tutorial to learn all about EBRAINS and a scalable HPC solution for learning to learn (L2L), discussing machine learning optimization techniques applied on brain simulations. Synopsis: https://cns2023.sched.com/event/1NCef/t12-vast-parameter-space-exploration-… Organizers: Alper Yegenoglu and Michiel van der Vlag. Hope to see you there! Kind regards, -- Michiel Alexander van der Vlag Forschungszentrum Jülich GmbH Institute for Advanced Simulation (IAS) Jülich Supercomputing Centre (JSC) SDL Neuroscience 52425 Jülich, Germany phone: +49-2461-61-8911

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Two postdoc positions in Computational Cognitive Neuroscience / Psychology / Cognitive Neuroscience
by Martin Hebart July 10, 2023

July 10, 2023

Dear all, The Computational Cognitive Neuroscience lab <https://hebartlab.com> of Martin Hebart is looking for two postdocs (initially for two years, with a possibility for an extension), who work in Computational Cognitive Neuroscience, Psychology, Computer Science, or a related field. The positions are part of the LOEWE Start Professorship of Martin Hebart, as well as the ERC Starting Grant COREDIM "Uncovering the core dimensions of visual object representations". Our lab aims at uncovering fundamental principles of visual and semantic processing in the human brain, with a focus on the visual system. To this end, we have access to a wide range of exciting large-scale datasets, including (1) human neuroimaging, human and macaque neurophysiological, and behavioral datasets as part of the THINGS initiative ( https://things-initiative.org) as well as (2) recent densely-sampled ultrahigh field functional and structural MRI data to reveal the relationship between the fine-grained cortical anatomy, the human structural connectome, and brain function in occipitotemporal cortex. The exact implementation of the projects is flexible but should be tied to the overall goals of the projects. The project of postdoc position 1 should be focused on using and ideally integrating the diverse datasets acquired as part of the THINGS initiative, including the possibility of developing or testing computational models of vision and language. The project of postdoc position 2 should be focused either on the functional neuroanatomy of the human visual system or on the relationship between visual and semantic features in occipitotemporal cortex. The positions are located at University of Giessen, with close collaboration with the Max Planck Institute of Human Cognitive and Brain Sciences in Leipzig, Germany. Our lab provides a supportive environment that strives towards helping postdocs advance in their career. We provide expertise and state-of-the-art resources for the successful completion of the postdoc positions. University of Giessen offers a vibrant community of vision scientists, and there are close collaborations with Marburg (15min distance by train) and Frankfurt (40min distance). The proximity to Frankfurt provides ideal mobility for national and international candidates. For details, please read the job announcements. Please apply using the online form: Postdoc position 1 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> Postdoc position 2 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> For more information, please reach out to Martin Hebart ( martin.hebart(a)psychiat.med.uni-giessen.de) Best wishes, Martin

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Endowed Professorship "Machine Learning for Clinical Neuroscience"
by Philipp Berens July 10, 2023

July 10, 2023

Dear all, we are currently advertising an Endowed professorship "Machine Learning for Clinical Neuroscience" (https://www.academics.com/jobs/w3-stiftungsprofessur-fuer-maschinelles-lern…) at the University of Tübingen. We are looking for candidates that perform innovative research on the application and development of new machine learning methods in clinical neuroscience, in particular for early detection and prediction of disease progression. This can include work on topics such as explainability, safety and robustness of machine learning methods in clinical settings. It would be great if candidates had worked with multimodal data with clinical relevance (e. g. MRI, fMRI, EEG, electrophysiology, omics data, data from sensors of wearables) as well as cohort data (UKBiobank, NAKO, etc.). Tübingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the Tübingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! We are looking forward to your application by July 20th. Best Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

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Workshop on Neuro-Inspired Topology and Machine Learning at CNS 2023
by Neymotin, Samuel (NKI) July 8, 2023

July 8, 2023

We invite the computational neuroscience community to join us at our workshop on Neuro-inspired topology and machine learning at CNS 2023, on July 19th, 2023 in Leipzig, Germany. Workshop Description: Mathematics, machine learning, and computational neuroscience have long been intertwined. Mathematical tools such as graph theory, information theory and dynamical systems have been used to model neural activity. Similarly, modern machine learning approaches have been inspired by neuroscience and have been used to better understand brain connectivity and dynamics. These three research facets play off of each other to advance each field individually and concurrently. The goal of this workshop is to bring computational neuroscientists, mathematicians, and computer scientists together to communicate research around their expertise. Additionally, it will serve as a venue to discuss avenues of future research impacting computational neuroscience and mathematics while advancing machine learning and artificial intelligence methods. Speakers include: Max Bazhenov, Vasileios Christopoulos, Claudia Clopath, Salvador Dura-Burnal, Daniela Egas-Santander, Celia Hacker, Erik Hermansen, Bill Lytton, Robert McDougal, Aitor Morales-Gregorio, Manish Saggar, Brittany Story, and Nick Tolley Full details including schedule are available here: https://sites.google.com/view/nitmlcns2023/home The organizers, Brittany Story, Vasileios Maroulas, Sam Neymotin ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Comp. Neurosci. postdoc - NY
by Neymotin, Samuel (NKI) July 7, 2023

July 7, 2023

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org/) to work on computational neuroscience research funded by NIH and DoD grants. Applicants should have a PhD in computational neuroscience (or a related field), strong background in multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. Applicants should send the following information to the computational neuroscience lab PI (Sam Neymotin; samuel.neymotin(a)nki.rfmh.org) 1. Curriculum vitae (.pdf, required) 2. Cover letter describing your research interests, relevant experience, and career goals 3. At least one academic writing sample 4. Referrer's Contact Information/Recommendation Letter Applications will be considered and interviews offered (for qualified applicants) as they are received. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Workshop on neuronal optimality and trade-offs at CNS*2023
by Jedlicka, Peter July 7, 2023

July 7, 2023

Dear all, Join us at CNS*2023 in Leipzig on July 18th and 19th for the workshop W06: Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modelling<https://www.treestoolbox.org/CNS2023_pareto_workshop/program.html>. Nervous systems, like any evolved structure, encounter unavoidable trade-offs between multiple tasks. They must fulfil their fundamental computational functions whilst consuming as little energy as possible and remaining robust to potential environmental changes. These tasks are often in direct opposition to one another, and a general quantification of the relative importance of individual optimisation targets is non-trivial. The problem is complicated by the degeneracy seen across neurons and circuits, where multiple different combinations of components can lead to similar functional behaviours. Pareto optimality might provide a useful framework to analyse neurobiological systems from biophysically detailed cells to large-scale network structures that combine high-dimensional parameter spaces with high-dimensional objective spaces. Pareto, or multi-objective, optimality can, for example, help to identify geometrically simple subspaces of neuronal models that cannot be improved upon for all relevant objectives. This workshop aims to discuss applications of Pareto optimality to the trade-offs encountered by diverse nervous systems. The talks and discussions will also address the trade-off between functional effectiveness and energetic efficiency and the concept of metabolically efficient information processing. Registration for the workshops at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration Speakers include: Astrid Prinz, Anna Levina, Timothy O'Leary, Marcel Oberländer, Arnd Roth, Rishikesh Narayanan, Suhita Nadkarni, Albert Gidon, Zahid Padamsey, Wiktor Mlynarski, Dylan Festa Full details are available at: https://www.treestoolbox.org/CNS2023_pareto_workshop/index.html and https://cns2023.sched.com/event/1O0MO/w06-optimality-evolutionary-trade-off… Hope to see you there! Alex Bird, Philipp Norton, Peter Jedlicka, and Susanne Schreiber -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus Liebig University Giessen Rudolf-Buchheim-Straße 6 35392 Gießen Phone: ++49 (0)641 9941387 Fax: ++49 (0) 641 9941359 Email: Peter.Jedlicka(a)informatik.med.uni-giessen.de 3R Centre of Justus Liebig University Giessen Interdisciplinary Centre for 3Rs in Animal Research (ICAR3R) Frankfurter Straße 104 35392 Giessen (Germany) www.ICAR.de<https://www.uni-giessen.de/de/fbz/fb11/institute/computerbasiertes-modellin…>

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2 Fully funded PhD positions in testing of AI-based systems at Università della Svizzera italiana (Switzerland)
by Nargiz Humbatova July 7, 2023

July 7, 2023

Dear All, The TAU (Testing AUtomated) research group at the Software Institute <https://www.si.usi.ch/> of Università della Svizzera italiana (USI) <https://www.usi.ch/> investigates novel testing techniques to improve the robustness and security of systems based on deep learning. We offer two PhD positions in the following topics: 1. Search-based test case generation for vulnerability exposure in deep learning based systems and creation of a robustness assessment benchmark. The position is funded by the Horizon <https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/…> European project Sec4AI4Sec <https://search.usi.ch/en/projects/3018/cybersecurity-for-ai-augmented-syste…> which aims to support security testing of AI-based systems; 2. Automated partition of a complex input space into a topographical map consisting of regions that maximise the likelihood of fault exposure when test cases are sampled from unexplored or boundary map regions. This position is funded by the SNSF <https://snf.ch/en> project TopoScope <https://search.usi.ch/en/projects/3030/toposcope-a-topographical-approach-t…>, aiming at redefining the testing activities as the exploration of a topographical map of the input space. We are scouting excellent applicants for these two PhD positions. Successful candidates will work at the Software Institute of Università della Svizzera italiana (USI) in Lugano, Switzerland, under the supervision of Prof. Paolo Tonella <http://inf.usi.ch/faculty/tonella> and the co-supervision of Dr. Nargiz Humbatova <http://usi.to/pio> and Dr. Jinhan Kim. At USI, PhD salaries are highly competitive (around 50 kCHF), in accordance with the Swiss standards. Ideally, the selected candidates are expected to start on October 1st, 2023, but later starts can also be considered. The duration of the PhD contract will be 4 years. How to apply? Applications for PhD positions should include a curriculum vitae and the exam transcripts. PhD candidates should hold an MSc degree in Computer Science by Fall 2023. Applications can be sent to paolo.tonella(a)usi.com. The call will remain open until all positions are filled, but *priority will be given to earlier applications*. Best Regards, Nargiz

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Master of Science "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur - Apply until the 20th of July!
by Chloe Bourgeois July 7, 2023

July 7, 2023

The M.Sc. program "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur is still recruiting its new students! This international Master of science is interdisciplinary and related to computational approaches in neuroscience/cognitive science. Check our website for eligibility criteria and more info about the program: https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Applications must be submitted via the online platform ecandidat<https://ecandidat-uca1.univ-cotedazur.fr/#!accueilView>, until the 20th of July 2023. Thanks for sharing this announcement as widely as possible. Contact: msc-mod4neucog(a)univ-cotedazur.fr<mailto:msc-mod4neucog@univ-cotedazur.fr> Kind regards, -- Chloé Bourgeois Responsable Administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99

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CNS 2023 Tutorial on Dynamical Systems Methods
by Richard Gast July 6, 2023

July 6, 2023

Dear members of the computational neuroscience community, I would like to draw your attention to a tutorial that Hil G.E. Meijer, Bastian Pietras, and I will offer at the first day of CNS 2023: "Applied Dynamical Systems Methods in Neuroscience''. In this tutorial, we will explain basic dynamical systems concepts and analysis methods at the example of single neurons, neural networks, and mean-field equations of neural networks. The main goals of the tutorial are (i) to provide the audience with an intuition of how neural systems can be studied via mathematical models, (ii) to explain how we can analyze parameter dependencies of these mathematical models, and (iii) to provide numerical recipes, and software solutions to carry out these analysis methods. For more details on the tutorial, have a look at our website: https://cns2023.sched.com/event/cbd810bd0ffd6a59869a5f89fbf17b58 If you are planning to participate in the hands-on sessions, I advise you to follow the preparation instructions on that website! See you in Leipzig, Richard Gast

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi July 6, 2023

July 6, 2023

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

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Announcing the fourth Canadian Computational Neuroscience Spotlight!
by Scott Rich July 5, 2023

July 5, 2023

Dear Comp-Neuro mailing list members, We are pleased to announce the fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://www.crowdcast.io/c/ccnsv4> will take place this fall, October 5 and 6. The meeting will once again take place entirely virtually using the Crowdcast platform, and parlay the savings from this virtual setting into no registration fees for attendees. CCNS was created in the immediate aftermath of the initial COVID-19 lockdowns, which caused the cancellation of multiple conferences within the Canadian neuroscience community. As one of the first brand-new meetings created with the virtual space in mind <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…>, CCNS distinguished itself by exploiting the online setting to engage an international audience, increase content accessibility through no registration fees and permanently available replays, and place an added spotlight on trainee contributions. Two successful follow-up editions of the meeting took place in 2021 and 2022. CCNSv4 will highlight three fantastic keynote speakers: Dr. Rick Adams <https://www.ucl.ac.uk/mental-health/mental-health-awareness-week/meet-dr-ri…>, Dr. Jeremie Lefebvre <https://www.uottawa.ca/brain/people/lefebvre-jeremie>, and Dr. Sarah Muldoon <https://www.buffalo.edu/cas/math/people/faculty/muldoon.html>. The keynote talks will be complemented by interactive workshop sessions led by our organizing committee. The remainder of the program will highlight trainee contributions, both through spotlighted talks and parallel sessions. The preliminary program can be seen after registration through the Crowdcast platform <https://www.crowdcast.io/c/ccnsv4>, and further details will be added to our homepage (ccnsmeeting.ca) in the coming weeks. Trainees interested in presenting are encouraged to first register for the conference via Crowdcast (crowdcast.io/c/ccnsv4 <https://www.crowdcast.io/c/ccnsv4>) and then complete this Google Form <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>. Submissions received by 5 p.m. EDT on September 1 will be considered for longer “spotlight” presentations. We anticipate all submissions that reasonably fall under the broad banner of “computational neuroscience” will be accepted unless demand far exceeds our expectations. A final schedule for the meeting, including the schedule of trainee talks, will be made available no later than September 18. Please feel free to reach out to the organizing committee if you have any questions about this meeting, and we look forward to seeing you at CCNSv4! Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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Invitation for Hands-on Tutorial on PyNN at CNS*2023 Inbox
by CHITARANJAN MAHAPATRA July 5, 2023

July 5, 2023

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

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Tutorial "Using open tools to build efficient workflows for data access, management and analysis" at CNS*2023
by Michael Denker July 5, 2023

July 5, 2023

We would like to take the opportunity to invite you to our hands-on tutorial titled "Using open tools to build efficient workflows for data access, management and analysis" which will be held in the morning tutorial session on July 15, 2023 of this year's CNS*2023 conference in Leipzig, Germany (https://www.cnsorg.org/cns-2023) The tutorial is open to all registered participants, and assumes only basic experience with the Python programming language. Tutorial materials will be made available during the session. In order to interactively follow the tutorials online, we suggest to create a free EBRAINS account (https://www.ebrains.eu/page/sign-up) in advance. Synopsis: Neuroscientists today face challenges in managing the growing volume and complexity of data generated through rapid technological and methodological advancements and sophisticated experimental paradigms. Data management tools and methods provide indispensable solutions for researchers to efficiently handle, organize, and analyze datasets, facilitating model validation, refinement, and simulation, while fostering collaborations. This tutorial presents examples combining multiple tools synergistically into a complete digitized workflow to help researchers manage and control data and analysis processes. - GIN is a platform for version-controlled (git and git-annex) data management and collaboration. It supports any file types and folder structure, provides web and command-line access, provides an option for local installation, and services including format validation and data publication (DOI). - odML is an open, lightweight, and flexible format that provides a common schema (with implementations in XML, JSON, and YAML) to collect, organize and share metadata in a human- and machine-readable way. - NIX is a lean data model and file format for storing fully annotated scientific datasets, i.e., the data together with rich metadata (odML) and their relations in a consistent, comprehensive format. - Neo provides programmatic data objects for working with and representing electrophysiological data and can read data from many proprietary formats. In combination with NIX, Neo makes electrophysiological data interoperable with generic analysis scripts, tools, and services. - Elephant provides a large portfolio of standard and advanced methods for analyzing data from neuronal spike trains or time series data, such as LFPs. The Neo data model makes them easily accessible to scientists and applications. - Alpaca enables simple capture of human-readable provenance of the data processing workflow. Organizers: - Reema Gupta, Faculty of Biology, Ludwig-Maximilians-Universität München - Moritz Kern, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Michael Denker, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Thomas Wachtler, Faculty of Biology, Ludwig-Maximilians-Universität München

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Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks
by COTTEREAU Benoît July 5, 2023

July 5, 2023

Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks Starting date: Second semester of 2023 Supervisors: Benoit Cottereau, research director at CNRS (Contact: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>), in close collaboration with Robby Tan, associate professor at National University of Singapore (NUS) Keywords: Computational neurosciences, Spatial cognition, Artificial intelligence (AI), Vision, Spiking neural networks, Event-based cameras. Fully funded PhD fellowships are available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director), in close collaboration with Robby Tan (assistant professor at NUS, Singapore). The aim of the project is to develop computational models of spatial cognition in humans (e.g., for depth/motion perception or navigation). In order to reproduce the very low energy consumption of visual information processing in biological systems, these models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras. These models will be evaluated with respect to biological data (their responses will be compared to those observed in neural recordings and/or in behavioural experiments). The candidates should be willing to work in an international environment which involves Singapore and France, have a good level in English, very good programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Each of the three positions will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>, including a CV and 2 names of references. **************************************************************************************************** Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at the Brain and Cognition Research Center (CerCo, CNRS, UMR 5549, Toulouse): http://cerco.cnrs.fr/page-benoit-cottereau/ Director of the SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University e-mail: benoit.cottereau(a)cnrs.fr phone: (+33)-5-62744520

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PLOS Complex Systems is coming!
by Hocine Cherifi July 4, 2023

July 4, 2023

View this email in your browser <https://view.e.plos.org/?qs=dee8047ee42f8224301af96522f8b69a270a53ce74ede07…> [image: PLOS] <https://click.e.plos.org/?qs=e061474313b570c1a547d4ee8221ae589c93c76242c1d0…> *Announcing PLOS Complex Systems* *A new home for complex systems research that transcends disciplines* Dr Cherifi, We’re proud to announce *PLOS Complex Systems*, a forthcoming new journal to complement our existing portfolio and continue our mission to support research communities around the globe. *PLOS Complex Systems* <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. Find out more <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> [image: Hocine Cherifi] *“I am thrilled to be part of the launch of *PLOS Complex Systems*, a significant step forward in understanding the intricacies of our world. This journal has the power to break down disciplinary boundaries and encourage researchers to approach problems holistically. Together, we have the opportunity to shape the future of complex systems research and make a lasting impact on scientific understanding and societal progress.”* *- Hocine Cherifi, Editor-in-Chief* Want to learn more?Find out more about the scope of *PLOS Complex Systems*, our Editor-in-Chief, and other relevant journal information on our website. Start here <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…>

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Postdoc at NYU
by Grace Lindsay July 3, 2023

July 3, 2023

The Lindsay Lab is hiring a postdoc! Work in the lab focuses on using artificial neural networks as models of the brain. A potential postdoc should be interested in working on a project that could fit into either of the first two research areas listed here: https://lindsay-lab.github.io/research/ (specifically, modeling attention in artificial neural networks or testing tools of neural analysis on artificial neural networks). To apply, send a CV, half page project proposal & contact info for 3 references to grace.lindsay(a)nyu.edu with subject "Postdoc Application" -- Grace Lindsay Assistant Professor, Psychology & Data Science New York University gracewlindsay.com lindsay-lab.github.io *Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain* <https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-enginee…>

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PhD candidate on machine learning for normative modeling of functional brain activity -1 fte 4 years
by Mostafa Kia July 3, 2023

July 3, 2023

Dear Colleagues, We are excited to announce an excellent opportunity for an enthusiastic Ph.D. candidate to join our team at the computation psychiatry group at the Department of cognitive science and artificial intelligence, Tilburg University. We are currently seeking a candidate to undertake normative modeling on big MEG/EEG data, a captivating research area with vast potential for precision psychiatry. As a Ph.D. candidate in this role, you will have the chance to apply state-of-the-art machine learning techniques on big MEG/EEG data, contributing to the advancement of our understanding of the biological underpinnings of mental disorders. Your research will focus on responsible normative modeling, allowing for valuable insights and potential applications of machine learning for precision psychiatry. We are looking for a candidate who possesses a strong background in machine learning, probabilistic data modeling, and neuroimaging. Proficiency in data analysis techniques, programming skills, and experience with MEG/EEG data will be advantageous. For more information regarding this vacancy, please consult the original call at https://www.academictransfer.com/en/329751/phd-candidate-on-machine-learnin… . Best regards, Seyed Mostafa Kia <https://research.tilburguniversity.edu/en/persons/seyed-mostafa-kia>, PhD Assistant Professor Department of Cognitive Science & Artificial Intelligence <http://www.csai.nl/> Tilburg School of Humanities and Digital Sciences Warandelaan 2, 5037 AB, Tilburg, The Netherlands

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PhD position Bioengineering and Robotics: Early vision function in silico networks of LIF neurons | PSPC Labs Genoa, ITALY
by Silvio P. Sabatini July 1, 2023

July 1, 2023

Applications are invited for one full-time PhD studentship for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position will start on Nov 1st, 2023 on the following research project: **Early vision function in silico networks of LIF neurons** One approach to understanding implications of the initial stages of visual processing is ideal observer analysis, which evaluates the information available to support psychophysical discriminations at various stages of the early visual representation. Computational approaches primarily rely on simple generative models, which do not take into account the distinctive properties of individual elementary channels, as well as the active nature of the input sensory pattern. Accordingly, many details remain underrated, as well as their implications on functional vision not fully understood. The project's goal is to develop an “artificial observer” composed of an active event-based camera feeding a neuromorphic multi-layer network of leaky integrate and fire (LIF) neurons. The system should provide the inference engines for relating visual representations to performance on perceptual judgement tasks. Multiple and varying parameters captured under complex, real-life conditions should be comparatively assessed in silicon and human observers. The research will be conducted at the Bioengineering/PSPC labs of DIBRIS. Applicants are expected to: (1) have a Master’s degree in Bioengineering, Computer Science, Physics or related disciplines, (2) have a keen interest in Vision Science and in Artificial Intelligence, (3) have good programming skills in at least one language (MATLAB, C/C++, Python, C#), (4) work well in group problem solving situations, (5) have intermediate communication skills (oral and written in English). Experience in neural modeling is a plus. Prospective students, please contact Silvio P. Sabatini ( silvio.sabatini(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. *Online application is possible till *July 10th , 2023 (12:00 a.m. CET)** Full details on the call and the application procedure are available at: https://unige.it/en/students/phd-programmes https://biorob.phd.unige.it/how-to-apply Regards, -- -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] DIBRIS - University of Genova | e_mail: silvio.sabatini(a)unige.it Via Opera Pia, 13 | phone: +39 010 33 52092 I-16145 Genova (ITALY) | fax: +39 010 33 56533 URL: http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

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DPG - Bad Honnef Physics School on "Physics of Viruses" this September
by Viola Priesemann June 28, 2023

June 28, 2023

Dear all, we are organizing a Bad Honnef Physics School on "Physics of Viruses" from September 10th till 15th 2023. - This school will cover all aspects of the physics of viruses, from their molecular architecture and assembly through to virus transmission, spread and evolution. We have put together a diverse program with world-renowned speakers, which also includes tutorials and time for discussions and networking. The physics center in Bad Honnef is a fantastic venue for such events and participation fees are very affordable (200 EUR, 100 EUR for DPG-members, covering board and lodging for one week at the Physikzentrum at Bad Honnef, which is close to Bonn and beautifully located at the Rhine). We very much look forward to interacting with interested master students, PhD-students, postdocs and even more senior researchers! You may also bring a poster on your own work and/or contribute a short presentation. More information and the schedule for the school can be found here : https://www.dpg-physik.de/veranstaltungen/2023/physics_of_viruses?set_langu…. Space is limited, so please secure your spot at the school as soon as possible. We very much look forward to welcoming you in Bad Honnef! Best regards, Ulrich Schwarz and Sarah Köster PS: PIs, please forward this email to your group members! https://www.dpg-physik.de/veranstaltungen/2023/physics_of_viruses?set_langu… ---------------------- Tel. +49 (2224) 9232-0 Fax +49 (2224) 9232-50 E-Mail: dpg(a)dpg-physik.de www.dpg-physik.de www.linkedin.com/company/dpgphysik www.facebook.com/DPGPhysik www.instagram.com/DPGPhysik www.youtube.com/DPGPhysikTV Deutsche Physikalische Gesellschaft e. V. Geschäftsstelle, Hauptstraße 5, 53604 Bad Honnef Hauptgeschäftsführer: Dr. Bernhard Nunner Eingetragen beim Vereinsregister des Amtsgerichts Siegburg unter Registernummer VR 90474

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NEURON, NetPyne, and TREES at OCNS 2023 in Leipzig
by McDougal, Robert June 27, 2023

June 27, 2023

Join us at CNS 2023 in Leipzig on July 15th for the tutorial T01: Building mechanistic multiscale models with NEURON, NetPyNE, and TREES. NEURON is a simulator for neurons and networks of neurons with strong support for morphologically detailed models. TREES is a toolbox for working with morphologies, and NetPyNE is an abstraction layer on top of NEURON to facilitate the specification of large network models. We will talk about both basic and new features. This tutorial will be highly interactive, focusing on cloud-based examples for the NEURON and NetPyNE portions. Registration for the tutorials at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration Speakers include: Bill Lytton, Robert McDougal, Thomas Künzel, Hermann Cuntz, Adam Newton, and Salvador Dura-Bernal. Full details are available at: https://cns2023.sched.com/event/150df23f7af1dcca6e55694eba15bf83 Hope to see you there!

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Apply now for the Computational Neuroscience Imbizo 2024 - form closes 11th July
by Christopher Currin June 27, 2023

June 27, 2023

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 11th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 11th July 2023 * References submitted: 14th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo(a)gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Incl. past FACULTY and TAs such as... Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa <https://indabax.co.za>) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/>, the International Brain Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome Trust, Google Deep Mind and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Open research training: Open Seeds mentoring & training program is open for application until July 2023
by Mayya Sundukova June 26, 2023

June 26, 2023

Dear all, The next cohort of Open Seeds OLS-8 is open for application! Open Seeds is a Mentoring & Training Programme run by OLS, designed for people interested in applying open principles in their work and becoming Open Science ambassadors in their communities. The program is free but requires registration in OpenReview and an application with a project where you would like to apply open skills. More information: https://openlifesci.org/ The deadline to apply is on July 7th, with a decision made in August and the cohort starting in mid-September 2023. On the 28th of June OLS will run an open webinar “Application Clinic (Q&A)” where interested participants can ask the OLS team any questions about their applications to the program. If you have not thought about a project and application, this can be an excellent opportunity to learn more about the program and get inspired https://www.eventbrite.co.uk/e/application-clinic-call-qa-tickets-660976427… . Help us share about the Open Seeds OLS-8 call in your network. More about Open Seeds Purpose: Training for individuals and teams interested in furthering their Open Science skills in any area of research and community projects. Process: Online 16-week with online cohort calls and mentor-based individual support to help participants in integrating open science practices in their work and in the long term become Open Science ambassadors in their community. Open leaders from Open Seeds OLS programme are - taught essential knowledge required to create, lead, and sustain an Open Science project. - connected with members across different communities, backgrounds, and identities by creating space in this program for them to share their experiences and expertise. - empowered to become effective Open Science ambassadors in their communities. *Examples of projects you can bring:* Please see our previous cohorts for a full list of projects that have been developed in OLS: OLS1 <https://openlifesci.org/ols-1/projects-participants/>, OLS-2 <https://openlifesci.org/ols-2/projects-participants/>, OLS-3 <https://openlifesci.org/ols-3/projects-participants/>, OLS-4 <https://openlifesci.org/ols-4/projects-participants/>, OLS-5 <https://openlifesci.org/ols-5/projects-participants/>, OLS-6 <https://openlifesci.org/ols-6/projects-participants/> and OLS-7 <https://openlifesci.org/ols-7/projects-participants/> - Researchers and data scientists: applying open, reproducible and FAIR principles to their current research, data management plan, collaborative workflow design, tooling and roadmapping, the publication of research outcome, a side project they are working on, an app they are building for social good, a prototype they want to further enhance etc. - Business team members: collaborative projects with the researcher, public engagement, dissemination of research output, community engagement, survey and feedback collection, infrastructure design, resource hosting services etc. - Support staff members: data management, reproducible workflow, FAIRification of research components (training, data, web source etc.), support documents for their colleagues, participatory & citizen science - Community/project managers: community-building skills, community development project, collaborative research, training and education opportunity etc. To learn more about the program and process of application, you can check the recording of the application launch call from the previous cohorts on the OLS YouTube channel: https://youtu.be/shM2mVyLjxU For additional details, feel free to reach out to the Open Life Science team at: team(a)openlifesci.org. We are also on social media: - Twitter: https://twitter.com/openlifesci - Linkedin: https://www.linkedin.com/company/openlifesci/ - Youtube channel with open educational resources: https://www.youtube.com/@OpenLifeSci <https://www.youtube.com/@OpenLifeSc>. We look forward to welcoming you in the next cohort. Best wishes, OLS Team

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Call for community review: 2 new neuroscience SBPs
by INCF June 26, 2023

June 26, 2023

Two calls for community review: 1. Digital SWC Reconstructions Describing Neuron Morphology (SWC) 2. SPARC Data Structure Feedback from the community is an important part of our review process; it helps us ensure that the standard has community support and is useful and practical to the community. By commenting, you contribute to improving the standard for current and future users! 1. Digital SWC Reconstructions Describing Neuron Morphology (SWC) SWC files (file extension of .swc) are text-based (ASCII text) files that describe three-dimensional neuronal or glial morphology. These digital reconstructions represent morphology as a vectorized tree structure, made of a series of connected nodes. An SWC file contains a series of text-based rows where each neuron node is described by a single row of only seven space-separated values. The format is simple and intuitive; a parser of or writer to the format could be implemented by anyone with knowledge of any programming language. With an open archive and freely available structure editor, the SWC system facilitates community-wide pooling of data for building biophysically realistic neuronal models and studying the morphological variation between neurons, contributing to a greater neuroscientific cooperation and openness. Review by Aug 15 Learn more: incf.org/commentaries/swc <https://www.incf.org/commentaries/swc> 2. SPARC Data Structure Financially backed by the NIH Common Fund, SPARC is a large-scale project which aims to deepen our knowledge of nerve-organ interactions. With an initial focus on bioelectronic medicine, the SPARC consortium created the SPARC data structure (SDS), a file and metadata organizational scheme inspired by the Brain Imaging Data Structure (BIDS). This data structure has proven capable of handling complex datasets from multiple and heterogeneous species, measurement techniques, and spatial scales. One of the primary purposes of SDS is to increase the integrity of scientific research by promoting FAIR and open science practices, particularly by facilitating the generation of well-annotated, organized, standardized, and shared biomedical datasets. Review by Aug 15 Learn more: incf.org/commentaries/sparc <https://www.incf.org/commentaries/sparc> Thanks for your help! /The INCF Team

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Computational Neuroscience Postdoc position in New York
by Salvador Dura-Bernal June 25, 2023

June 25, 2023

A Postdoc position is now available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences University (Brooklyn, New York), working on a new exciting multidisciplinary project entitled "Restoring motor function after spinal cord injury using multiscale modeling to decode neural latent dynamics from motor cortex EEG." The position is funded by New York State (NYS) Department of Health (DOH) Spinal Cord Injury Research program. The project aims to improve brain-machine interface decoders by combining multiscale modeling of motor cortex circuits, analysis of low-dimensional neural manifolds associated with behavior, and realistic simulation of EEG signals. See our recent Cell Reports publication describing the multiscale motor cortex model and behavior-related neural manifolds: www.cell.com/cell-reports/fulltext/S2211-1247(23)00585-5<http://dura-bernal.org/www.cell.com/cell-reports/fulltext/S2211-1247(23)005…> For more details and how to apply visit: http://dura-bernal.org/postdoc-2023<https://t.co/aGDh79EjyE> (Please share!) ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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Registration for the Bernstein Conference 2023 in Berlin is open now
by Alexander Lammers June 23, 2023

June 23, 2023

***Registration for the Bernstein Conference 2023 in Berlin is open now*** ___ The Bernstein Conference Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ___ Important Dates * Bernstein Conference: September 26 - 29, 2023 * Abstract submission for posters: July 19, 2023, 15:00 CEST * Travel grant applications: July 19, 2023 * Early registration: July 19, 2023 ___ Registration Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Abstract Submission We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/ ___ Travel Grants Students, PhD candidates, and postdocs can apply for travel grants. Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ___ Invited Speaker Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ Contact For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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1 PhD position on: New methods for realistic and comfortable experiences in AR
by Agostino Gibaldi June 22, 2023

June 22, 2023

We are inviting applications for one fully funded PhD position (3 years) in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering <https://dibris.unige.it/en>, at the University of Genoa (IT), in collaboration with Magic Leap <https://www.magicleap.com/en-us/>. The research theme focuses on realistic and comfortable experiences in Augmented Reality (more info in the attached call for position). Interested applicants are welcome to reach out for more information about the theme and the position. The official call can be found here: https://unige.it/dottorati-di-ricerca You can apply from June 09 at 03.00 pm (italian time) to July 10 at 12.00 noon (italian time) at this page: https://unige.it/en/students/phd-programmes Best, Agostino Gibaldi, PhD Human Vision Scientist Magic Leap *New methods for realistic and comfortable* *experiences in AR – University of Genoa* *Curriculum: *Industry 4.0 *Hosting Institution: *University of Genoa *Department: *Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) *Tutors:* Silvio P. Sabatini, Andrea Canessa, Gerrit Maus, Agostino Gibaldi *Description:* Optical see-through (OST) augmented reality head-mounted displays (HMD) have emerged as a key asset in several application fields. In OST HMDs the direct view of the world is mostly preserved and there is no perspective conversion in viewpoint and field of view, as with video see-through (VST) systems. This aspect confers a clear advantage over VST solutions, particularly when used to interact with close objects. Although there have been significant improvements to performance and comfort of OST HMDs, limitations associated with human perception still remain to be addressed. In order to provide the user with a realistic, natural and comfortable visual experience, a thorough and accurate knowledge of eye characteristics and HMD geometry must be assumed. These quantities are usually calibrated on a per-device and per-user basis, or modeled from scientific literature. A deviation of the actual values from the expected ones can result in incorrect camera placement, spatial distortions and non-uniformities, thus triggering discomfort in VR/AR. The goal of this research project is to develop methods and techniques to assess and mitigate discomfort and perceptual inconsistencies between real and augmented visual content in OST HMDs. A joint experimental and modeling approach will be followed in order to: 1. investigate methods to evaluate different sources of discomfort/mismatch; 2. develop subjective and objective methods to quantify the originated discomfort; 3. investigate strategies to mitigate the sources of discomfort/mismatch in AR/VR devices. *Requirements:* Applicants are expected to: 1) have a keen interest in Vision Science and in Augmented Reality, 2) have good programming skills in at least one language (Matlab, C/C++, Python, C#), 3) work well in group problem solving situations, 4) have intermediate communication skills (oral and written) in English or better. Experience in Unity 3D is a plus. *References:* [1] Konrad, R., Angelopoulos, A., & Wetzstein, G. (2020). Gaze-contingent ocular parallax rendering for virtual reality. ACM Transactions on Graphics (TOG), 39(2), 1-12 [2] Lambooij, M. T., IJsselsteijn, W. A., & Heynderickx, I. (2007). Visual discomfort in stereoscopic displays: a review. Stereoscopic Displays and Virtual Reality Systems XIV, 6490, 183-195. [3] Gibaldi A., Liu Y., Kaspiris-Rousellis C., Mahadevan M., Vlaskamp B.NS, Maus G.W. Vertical vergence and screen alignment with see-through head-mounted displays. ECVP 2023. *Company name and link (for industrial projects):* Magic Leap Inc. (www.magicleap.com) *Number of positions available: 1* *Main Research Sites* *1.* DIBRIS, via Opera Pia 13, 16145 Genoa, Italy, *2.* Macic Leap Inc., Andreasstrasse 5, 8050 Zürich, Switzerland *Contacts:* Email: silvio.sabatini(a)unige.it, gmaus(a)magicleap.com *Funding Scheme:* This doctorate grant is co-funded by PNRR program DM-117

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[job post] Open PhD positions on neuromorphic perception and control for soft robots
by Chiara Bartolozzi June 22, 2023

June 22, 2023

We are looking for three PhD fellows interested in developing neuromorphic systems for robots. They will team up to look at the different aspects involved in developing neuromorphic circuits and computation for sensing, perception, and actuation for soft biomimetic robots. We will aim at coupling soft materials, sensory transduction, neuromorphic circuits and computation, and soft actuation, towards the design of robots that can seamlessly and gently interact with their environment. Each PhD will have their own multi-disciplinary research goals and will be co-supervised by leading scientists in the complementary disciplines: Neuromorphic distributed intelligence for soft robots – Computation with spiking neural networks for haptic perception and closed loop control of soft robots – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & B. Mazzolai<https://bsr.iit.it/> Neuromorphic distributed intelligence for soft robots – Design of neuromorphic circuits on flexible substrates for sensing and computation – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & L. Beccai<https://sbrp.iit.it/> Online neuromorphic perception and actuation for robots – Italian Institute of Technology – Supervisors: C. Bartolozzi<https://edpr.iit.it/>, S. Soldado-Magraner<https://bri.ucla.edu/people/saray-soldado-magraner/> & E. Donati<https://services.ini.uzh.ch/people/elisa> Location: Italian Institute of Technology, via San Quirico 19D, Genova, Italy https://iit.it Enrolment: DRIM PhD School @ University of Genova https://drim.i-rim.it/en/ Official call (with guidelines for applications): https://unige.it/en/students/phd-programmes PhD themes description: https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an… - checkout Themes 3,4<https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an…>,5 Deadline for application: June 30th

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CFP - IROS 2023 Workshop on World Models and Predictive Coding in Cognitive Robotics
by nagai.yukie＠mail.u-tokyo.ac.jp June 21, 2023

June 21, 2023

Dear colleagues, **************************** Call for Posters and Participation Workshop on World Models and Predictive Coding in Cognitive Robotics 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) **************************** We are inviting contributions to our IROS 2023 workshop. We would like to invite workshop attendees to submit an extended abstract explaining their current work related to world models and predictive coding in cognitive robotics. [ Website ] https://world-model.emergent-symbol.systems/ Contact email: taniguchi(a)em.ci.ritsumei.ac.jp (Tadahiro Taniguchi, Ritsumeikan University) [ Important Dates ] Paper submission deadline: 5th August 2023 Notification of acceptance: 19th August 2023 Camera-ready submission: 10th September 2023 Workshop day: 5th October 2023 [ Call for Contributions ] We encourage researchers to submit 1-2 page extended abstracts or a preprint of relevant work. There is no page limitation for the preprint. Accepted abstracts will be posted on the workshop website and will not appear in the official IEEE proceedings. The reviewing process is single-blind and will be carried out by the workshop organizers. Please submit your extended abstract via the Google form: https://forms.gle/Sw7UtX1ihtq4vpgA9 (The URL is also provided on the website) Accepted papers will have the opportunity to present their work/ideas in a poster session. Additionally, a few select submissions will have the chance to give a short talk, while others will give a flash talk. [ Special Issue ] Furthermore, a selected number of papers from the poster sessions will be invited to submit their novel work to the Special Issue proposed in the journal "Advanced Robotics.” [ Awards ] The Best Cognitive Robotics Paper Award, supported by the Technical Committee of Cognitive Robotics, will be awarded to the best paper. The recipient of the award will receive a prize of $300. [ Objectives ] This workshop will explore new frontiers in robotics, focusing on world models, predictive coding, probabilistic generative models, and the free energy principle. The ultimate goal of cognitive and developmental robotics is to create autonomous robots capable of actively exploring their environment, acquiring knowledge, and continuously learning skills. Crucially, to develop robots that learn through interactions with their environment, their learning processes should emulate human cognitive development and learning, which are based on engagement with the physical and social world. This workshop specifically focuses on world models and predictive coding in cognitive robotics. World models have recently garnered significant interest in artificial intelligence, as cognitive systems utilize these models to improve future sensory predictions and optimize their policies or controllers. In neuroscience, predictive coding posits that the brain constantly anticipates its inputs and adjusts its models to manage dynamics and control behavior in its environment. Both concepts may underlie the cognitive development of robots and humans capable of continuous or lifelong learning. The workshop aims to provide a platform for researchers and practitioners in cognitive robotics to exchange ideas and explore new avenues for the development of autonomous cognitive and developmental robots. This enriching experience will contribute to the growth and advancement of the field of cognitive robotics. [ Invited Speakers ] (planned) Tetsuya Ogata (Waseda University, Japan) Pablo Lanillos (Donders Institute for Brain, Cognition, and Behaviour, Netherlands) Giulio Sandini (Italian Institute of Technology, Italy) Takamitsu Matsubara (NAIST, Japan) Beren Millidge (Conjecture, UK) Danijar Hafner (UC Berkeley, United States) [ Organizers ] Tadahiro Taniguchi, Ritsumeikan University Emre Ugur, Bogazici University Masahiro Suzuki, The University of Tokyo Dimitri Ognibene, Università degli Studi di Milano-Bicocca Lorenzo Jamone, Queen Mary University of London Yukie Nagai, The University of Tokyo Tatsuya Matsushima, The University of Tokyo Tetsunari Inamura, Tamagawa University Best regards, Yukie, on behalf of the organizers — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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Spanish Return of Talent Programme
by Serafim Rodrigues June 21, 2023

June 21, 2023

Dear All, Please find below a brief summary of the *“Return of Talent Programme”* launched by the FUNDACIÓN RAMÓN ARECES. The deadline for submission of applications is* 15th October 2023.* v *OVERVIEW OF THE CALL* The aim of this call is to promote an innovative programme for the return of scientists already established abroad, so that they can develop a *relevant* *research project (in any scientific area) for a period of five years in a Spanish public research institution*. v *FUNDING CONDITIONS & DURATION* *DURATION:* *5 years* (the initial duration is 1 year, extendable annually for 4 successive additional years after a favorable evaluation by the Foundation's Scientific Council). *Note:** It must start, at the latest, 12 months after the Call results are published.* *FUNDING:* *1 grant** for the amount of 1.250.000 €* - *1st year:* 40 %. - *2nd and 3rd year:* 20% each year. - *4th and 5th year:* 10% each year. v *ELIGIBILITY & REQUIREMENTS* - *Applicant researchers:* ü *Spanish nationality*. ü *Have been residing and working on scientific projects outside Spain for a period of no less than 5 years* at the time of application. *Note:** time spent abroad (“estancias puntuales en el extranjero”) will not be considered as a period of residence, nor will the provision of services as a volunteer or any other form that does not involve financial remuneration.* ü *To have led or lead a scientific project as PI*. ü *Have a proposal from a Spanish public hospital or research center to carry out a research project.* ü Submit, together with the host institution, a significant research project, with its corresponding objectives, chronology and assessment indicators. ü Submit a declaration of intention to continue the professional activity in Spain at the end of the Programme (provided that the minimum conditions for this are met), in a joint declaration with the host institution. - *Host institutions:* ü *Spanish public hospitals or research centres. IMPORTANT NOTE: Please check the eligibility of your institution before applying.* ü Submit, together with the candidate, a five-year research project at the Spanish center with defined objectives, an established chronology and clear indicators for assessing its progress. ü Specify the contributions that the receiving center will make to support the candidate's project (human and material resources). ü To identify which facilities and laboratory will be specifically dedicated to the Programme (with the name). v *FURTHER INFORMATION* - Results to be published *before the end of 2023*. - Please access the following link for further information on the call: https://www.fundacionareces.es/fundacionareces/es/programa-de-retonorno-del… - Applications must be sent online: https://www.fundacionareces.es/areaprivada/areaprivada/index.html#/login If you are interested, please get in touch with us as we are seeking talent in the area of Mathematical, Computational and Experimental Neuroscience. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

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Postdoctoral position Lyon
by DI VOLO MATTEO June 21, 2023

June 21, 2023

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

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New PhD position at Charité Berlin
by Roshan Rane June 21, 2023

June 21, 2023

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

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Call for abstracts: Brain Informatics 2023 in Hoboken New Jersey
by Feng Liu June 20, 2023

June 20, 2023

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

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Hocine Cherifi June 19, 2023

June 19, 2023

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

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Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany
by Jörge Minula June 19, 2023

June 19, 2023

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

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PhD/postdoc position (fully funded) in resource-efficient probabilistic inference
by Luigi Acerbi June 16, 2023

June 16, 2023

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

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Systems Vision Science Symposium – Program available
by Pavlovic, Maria June 15, 2023

June 15, 2023

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

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Postdoctoral Fellow Position in Brain Imaging Computing, Lehigh University, USA
by Yu Zhang June 15, 2023

June 15, 2023

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

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Please share: Call for investigator-led session abstracts!
by INCF June 14, 2023

June 14, 2023

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

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Bernstein Conference 2023 - Deadline for contributed talks coming up
by Bernstein Communication June 14, 2023

June 14, 2023

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

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decision neuroscience postdoc at UL
by Tobias U. Hauser June 14, 2023

June 14, 2023

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

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Open postdoctoral, Ph.D., and research assistant positions in Computational Neuroscience at UCLA
by MARIO DIPOPPA June 13, 2023

June 13, 2023

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

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computational neuroscience postdoc position
by Neymotin, Samuel (NKI) June 12, 2023

June 12, 2023

A postdoctoral scientist position is available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded grants. Our NIH-funded project investigates the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI (Noelle O’Connell, Charlie Schroeder) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies testable in vivo. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) NKI is an equal opportunity employer. The position requires presence at NKI(Orangeburg, New York), with part-time telecommuting possible. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Computational neuroscience, AI and SI: deadlines June 26 and July 26 - National PhD in AI
by Matteo Ferrante June 12, 2023

June 12, 2023

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

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