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LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications)

by Antonio Roque

**** 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>

Oct. 9, 2023

Human Neocortical Neurosolver workshop at SFN 2023

by Stephanie Jones

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

Oct. 9, 2023

Postdoctoral position in Computational Neuroscience to study plasticity and learning in olfactory system

by Bazhenov, Maksim

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>

Oct. 6, 2023

2024 International Conference on Mathematical Neuroscience

by Avitabile, D. (Daniele)

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

Oct. 4, 2023

Barcelona Event: "Creativity: What makes us human"

by Leonardo Dalla Porta

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.*

Oct. 4, 2023

CFP - IEEE International Conference on Development and Learning 2024

by nagai.yukie＠mail.u-tokyo.ac.jp

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

Oct. 4, 2023

Final reminder: The fourth Canadian Computational Neuroscience Spotlight starts Thursday!

by Scott Rich

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

Oct. 3, 2023

Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus

by Ahmed El Hady

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…>

Oct. 3, 2023

Tenure-track Assistant Professor position in Mathematical and Statistical Foundations of Big Data at Georgia State University

by Yaroslav Molkov

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.

Oct. 3, 2023

lecture notes published

by Michael Biehl

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

Oct. 3, 2023