- Comp-neuro - lists.cnsorg.org

new book: Electric Brain Signals
by Gaute Einevoll Aug. 6, 2024

Aug. 6, 2024

We are very pleased to announce our new book: Electric Brain Signals Cambridge University Press, 2024 AUTHORS Geir Halnes, Norwegian University of Life Sciences Torbjørn V. Ness, Norwegian University of Life Sciences Solveig Næss, University of Oslo Espen Hagen, University of Oslo Klas Pettersen, Norwegian Artificial Intelligence Research Consortium Gaute Einevoll, Norwegian University of Life Sciences BOOK DESCRIPTION It is common to study the electric activity of neurons by measuring the electric potential in the extracellular space of the brain. However, interpreting such measurements requires knowledge of the biophysics underlying the electric signals. Written by leading experts in the field, this volume presents the biophysical foundations of the signals as well as results from long-term research into biophysics-based forward-modeling of extracellular brain signals. This includes applications using the open-source simulation tool LFPy, developed and provided by the authors. Starting with the physical theory of electricity in the brain, this book explains how this theory is used to simulate neuronal activity and the resulting extracellular potentials. Example applications of the theory to model representations of real neural systems are included throughout, making this an invaluable resource for students and scientists who wish to understand the brain through analysis of electric brain signals, using biophysics-based modeling. REVIEWS ‘Electric Brain Signals, by the Norwegian group founded by Gaute Einevoll, is the definitive how-to guide for detailed, biophysical modeling of brains, building up from the minuscule ionic currents traversing the cellular membrane, to the observed macro-variables across spatial scales, from the extracellular action potential and local field potential to EEG and MEG signals recorded inside or outside the skull. The book beautifully encapsulates, with easy-to-read prose and associated code, the sophistication of quantitative, mechanistic neuroscience of the twenty-first century necessary to understand the brain and the mind at the time scale of sensory input, motor action, and thought, in both health and disease.’ Christof Koch - Allen Institute for Brain Science, USA; and author of Biophysics of Computation ‘If you love physics, are fascinated with the brain, and wish that neural circuits could be understood from first principles, this book is for you! Gaute Einevoll and his team put together a masterpiece educational resource. Depending on the background and stage of training, the reader can consume it front to back, or use it as a reference book. The first part covers, in detail, the biophysical theory governing generation of the transmembrane and extracellular electrical potential. The second part is a comprehensive guide to simulations of these signals with the focus on data-driven modeling, from the microscopic level of single neurons and neural networks to macroscopic signals observable with noninvasive electro- and magneto-encephalography. This didactic organization, depth of coverage, and impeccable expertise of the authors make this book a top candidate as a textbook for computational neuroscience courses. Supplementary simulation software, freely available on GitHub, is a fantastic addition for research and teaching.’ Anna Devor - Boston University, USA ‘The brain is an electrochemical organ. The laws of electricity are simple. Yet how currents spread in a heterogeneous, non-isotropic milieu, such as the brain, is super complex. This long needed outstanding book provides all the necessary ingredients to comprehend this complexity. Done with the utmost care, this volume is a must-read for both novices and experts in electrophysiology and I bet it will become the foundation of elective graduate courses for many years to come. The text is the systems neuroscience equivalent of the single-neuron Hodgkin–Huxley model.’ György Buzsáki - NYU Neuroscience Institute, USA; and author of Rhythms of the Brain and The Brain from Inside Out ‘This book is a fantastic resource for the computational neuroscience community and beyond. The introductory ‘guide’ is outstanding in its clarity and description for readers with a range of backgrounds. The presentation is rigorous and detailed with many mathematical equations, and yet readable and understandable, with many figures. The authors are to be commended for their clearly defined terminologies and presentation of complex concepts. A gem of a read for anyone wanting to develop an in-depth understanding of electrical brain recordings and models of them.’ Frances K. Skinner - Krembil Brain Institute, University Health Network and University of Toronto, Toronto, Ontario, Canada https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98… [https://assets.cambridge.org/97813165/10841/large_cover/9781316510841i.jpg]<https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98…> Electric Brain Signals<https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98…> Cambridge Core - Biological Physics and Soft Matter Physics - Electric Brain Signals www.cambridge.org ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

1 0

PhD position in Göttingen: Optogenetics in the Retina and Computational Neuroscience
by Gollisch, Tim Aug. 6, 2024

Aug. 6, 2024

A PhD position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The PhD project will investigate how optogenetics can be used for vision restoration therapy to treat blindness. The work will involve multielectrode arrays to record spiking activity from isolated retinas of mice that express light-sensitive ion channels in different cell types of the retina. Furthermore, computational tools will be used for model-driven data analysis and assessment of neural coding under optogenetic stimulation. Prior experience with electrophysiology or computational analyses/computer programming will be considered advantageous for the application. The project is part of the newly founded Else Kröner Fresenius Center for Optogenetic Therapies (https://ekfz.uni-goettingen.de/) and will contribute to bringing optogenetic vision restoration towards clinical trials and patient treatment. Furthermore, the research group is embedded in the strong and lively neuroscience research community of Göttingen, including the university, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen. To get a better idea about the research group, see https://www.retina.uni-goettingen.de/. For more information or in case of questions, please send an email to Prof. Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>). For the official application, please visit https://ekfz.uni-goettingen.de/job.html#PhD and follow the instructions there, and mention in your application that you would like to join Team 2 (Vision), as there are multiple positions available in different teams. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.

1 0

PhD position at Charité Berlin on modeling deep brain stimulation with network science
by Meier, Jil Mona Aug. 6, 2024

Aug. 6, 2024

Dear all, for the collaborative research center “ReTune” starting from now on limited for 3 years we are looking for a Ph.D. Candidate (d/f/m) in part-time (25,35 h/week) The position is in the context of the project “Towards clinical application of virtual deep brain stimulation”, funded by the German Research Foundation within the collaborative research center “ReTune” (https://sfb-retune.de/en/home/) The project, led by me (Dr. Jil Meier), aims to model deep brain stimulation (DBS) from a network science perspective, exploring a novel approach for predicting neuromodulation effects based on network control theory. If succesful, the modeling-based DBS predictions will be combined with computational neuroscience approaches to test the benefits of the modeling-suggested DBS programming on Parkinson’s disease patients in a clinical pilot trial. The position is part of the collaborative research center “ReTune” and thus offers a high degree of interaction with other groups of this consortium. In addition, the CRC has an active early-career network, offering various activities, such as Fall Schools, Hackathons and method-training seminars. In more local aspects, the position will be within the Brain Simulation Section (https://www.brainsimulation.org/bsw) at the Berlin Institute of Health at the Charité-Universitätsmedizin Berlin, which is an interdisciplinary group of researchers with various backgrounds headed by Prof. Petra Ritter. More details below or at https://jobs.bihealth.org/PhD-Candidate-dfm-de-j586.html Application deadline is 02.09.2024. If you have any technical questions about the job posting, please contact me (jil-mona.meier(a)bih-charite.de<mailto:jil-mona.meier@bih-charite.de>). Kind regards, Dr. Jil Meier ------------------------------ What you can expect: * application of methods from network science and network control theory to understand the pathology of Parkinson's disease and DBS therapy effects * analysis of various imaging and electrophysiological data sets from healthy controls and Parkinson's disease patients * presentation of results and preparation of scientific publications * development of a modeling-based approach for improved programming for deep brain stimulation devices * collaboration with project partners within the ReTune consortium What you bring along: * Completed scientific university degree (Master, Diploma or comparable) in a relevant field (for example engineering, mathematics, physics, computer science, neuroscience or related fields) * strong interest in neuroscience and neuromodulation, especially deep brain stimulation * ambition to pursue an academic career * high level of motivation and the ability to work both inde-pendently and within a team * ideally experience in mathematical modeling, graph the-ory/network science and (network) control theory and previous experience in working with imaging or electrophysiological data is considered a plus * Very good skills in written and spoken English and foundational knowledge of a programming language (ideal: previous experience with either Matlab or Python) What we offer you: * A varied job in a forward-looking research institute * Remuneration up to TVöD VKA-K EG E13, taking into account personal requirements * Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits) * Flexible working hours and the option of working remote * 30 vacation days per year (with a five-day week) * Various support offers to balance work and family life (childcare, cooperation with voiio) * Very good training and further education opportunities * Mobile citizens' office on site * Corporate benefits (travel, leisure, shopping, etc.), Charité Gympass, bicycle leasing or abonnement (JobRad, mylo) * Very easily accessible and attractive workplace at CCM, (Robert-Koch-Platz 4, 10117 Berlin) We live diversity! We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability. We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work. Please submit your application via the BIH career portal (https://jobs.bihealth.org/) with a letter of motivation, CV and relevant work and degree certificates by 02.09.2024, quoting the reference number BIH-65.24. Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information at: https://www.kmk.org/zab/central-office-for-foreign-education.html Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970. You can find more information on the BIH at https://www.bihealth.org/en/

1 0

Postdoc position in Human Intracranial Single-Unit Electrophysiology and Brain Stimulation at the University of Magdeburg
by Ciliberti, Davide /DZNE Aug. 5, 2024

Aug. 5, 2024

Dear all, We have an open position for a Postdoctoral researcher in the area of human intracranial electrophysiology, using single-unit recordings and electrical brain stimulation, to study the dynamics of human memory formation and consolidation. More details about the position are available at: https://iknd.med.ovgu.de/Jobs/Postdoctoral+researcher+position.html More information about the research in my group is available at: https://iknd.med.ovgu.de/AG+Dr_+Ciliberti.html To apply, please send your CV, motivational letter and the contacts of three referees to Dr. Davide Ciliberti (davide.ciliberti(a)med.ovgu.de<mailto:davide.ciliberti@med.ovgu.de> ). Informal inquiries or preliminary applications (without referees) are welcome. Best regards, Davide Ciliberti Davide Ciliberti, PhD Junior Research Group Leader ……………………………………………………………………… Institute of Cognitive Neurology and Dementia Research (IKND) Otto-von-Guericke-Universität Medical Faculty Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE) c/o Universitätsklinikum Magdeburg Leipziger Str. 44 Building 64, Room 506 39120 Magdeburg Germany

1 0

PhD position in Human Intracranial Single-Unit Electrophysiology and Brain Stimulation at the University of Magdeburg
by Ciliberti, Davide /DZNE Aug. 5, 2024

Aug. 5, 2024

Dear all, a PhD student position in the area of Human Intracranial Single-Unit Cognitive Electrophysiology and Brain Stimulation is available at the University of Magdeburg (Germany) in my group. Please find the details below. Institution Institute of Cognitive Neurology and Dementia Research (IKND) of the Medical Faculty at the Otto-von-Guericke University Magdeburg. Location University Hospital Magdeburg, Magdeburg, Germany. Supervisors Dr. Davide Ciliberti and Prof. Dr. med. Emrah Düzel. Duration 4 years. Overview The Cognitive Electrophysiology and Neurotechnology (CEN) group at IKND led by Dr. Davide Ciliberti (https://iknd.med.ovgu.de/AG+Dr_+Ciliberti.html) invites applications from highly motivated candidates to fill in a position for a PhD student salary. The successful candidate will have the opportunity to conduct multi-disciplinary research in human neuroscience and neurotechnology. In particular, the successful candidate will investigate the dynamics of formation of human memory using intracranial single-unit electrophysiological recordings, high resolution 7-Tesla imaging and invasive electrical brain stimulation in neurosurgical epilepsy patients. Project Description The aim of the main project is to characterize the behavioral and electrophysiological effects of deep-brain stimulation (DBS) in the human entorhinal cortex during the formation of spatial and non-spatial episodic memory. The research will involve: * designing cognitive tasks for investigating the neurophysiological dynamics of mnemonic discrimination; * recording local field potentials and single-unit activity from intracranial electrodes in neurosurgical epilepsy patients during the execution of cognitive tasks; * applying DBS to the entorhinal cortex during the execution of cognitive tasks; * applying existing analysis techniques and developing new ones for understanding how DBS alters mnemonic discrimination; * applying image segmentation techniques on 7-T MRI data to localize intracranial electrodes with high-resolution. Key Responsibilities * Interacting with patients and record intracranial electrophysiological data. * Conduct high-quality research in cognitive electrophysiology and neuroengineering, by validating or disproving current theories about human episodic memory formation and maintenance. * Collaborate with a multidisciplinary team of researchers, including PhD students, postdocs, medical technicians and doctors. * Present research findings at national and international meetings, and publish results in high-visibility scientific journals. Requirements * A Master degree in Cognitive Neuroscience, Physics, Cognitive Psychology, Biomedical Engineering, Computational Neuroscience or a closely related field. * Basic to intermediate knowledge of a programming languages (e.g. Python, Matlab, C/C++). * Expertise in at least two of the following areas (unless coming from a non-neuroscientific field): * brain stimulation, * human neuroanatomy and neuroimaging, * clinical neurophysiology, * analysis of single-unit activity, * analysis of local field potentials, * theories of episodic memory, * design of cognitive tasks for humans, * brain-computer interfaces. * Analytical, problem-solving, and communication skills. * Inquisitive mindset and critical thinking. * Ability to work independently and as part of a team. * Good command of written and spoken English. * Intermediate to advanced knowledge of German language is highly appreciated (but not required). Benefits * Opportunity to work in a leading research institution with access to state-of-the-art facilities. * Collaborative environment with experts in neuroimaging, electrophysiology, clinical neurophysiology, data analysis, AI, aging research. * Competitive salary (65% TVL E13). * Comprehensive training and career development support (through the OvGU graduate academy). How to apply Please send your CV, a motivational letter and the contacts of two referees to Dr. Davide Ciliberti (davide.ciliberti(a)med.ovgu.de<mailto:davide.ciliberti@med.ovgu.de>). Transcripts of Bachelor and/or Master degree(s) indicating relevant coursework taken will be appreciated (but are not required). Informal inquiries are welcome. Davide Ciliberti, PhD Junior Research Group Leader ……………………………………………………………………… Institute of Cognitive Neurology and Dementia Research (IKND) Otto-von-Guericke-Universität Medical Faculty Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE) c/o Universitätsklinikum Magdeburg Leipziger Str. 44 Building 64, Room 506 39120 Magdeburg Germany

1 0

Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Aug. 5, 2024

Aug. 5, 2024

Enrolments are now open for the Modellers Workshop for the Brain Dynamics Toolbox. This is an online course for researchers who wish to build custom dynamical models in matlab using the Brain Dynamics Toolbox. The course focuses on practical programming techniques for the major classes of differential equations (ordinary, partial, delay, stochastic) in computational neuroscience. Example code is provided in all cases. Study time is 8 hours. Upon completion, students will be able to turn differential equations into working simulations. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close 31st Aug 2024. 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.

1 0

Post-doctoral position - Mass Eye & Ear / Harvard Med School
by Maison, Stephane F.,AUD, PhD Aug. 4, 2024

Aug. 4, 2024

A NIH-funded postdoctoral position is immediately available in Dr. Stéphane Maison’s laboratory in the Department of Otolaryngology – Head & Neck Surgery at the Massachusetts Eye & Ear – Harvard Medical School. Our research interests focus on identifying biomarkers of a large range of etiologies and their associated disorders including difficulties hearing and communicating in noisy environments, reduced sound level tolerance and tinnitus using a test battery based on behavioral, electrophysiologic, and psychophysical measures. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant’s experience. Highly motivated candidates who recently graduated with a PhD in biomedical engineering, computational biology, hearing science, neuroscience, or other related fields are welcome to apply. The applicant should have strong programming skills (e.g., Matlab, Python), independent and productive. Experience with human testing is preferred but not required. The fellow will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School. Interested applicants should apply using the following link: https://partners.taleo.net/careersection/mee/jobdetail.ftl?job=3299643&tz=G… The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

1 0

NEW: More seminars of VVTNS 4th season are now online
by David Hansel Aug. 4, 2024

Aug. 4, 2024

[image: VVTNS.png] > > <https://streaklinks.com/CEZ1w5FbWwwdiE8ltQA_j5xB/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > The following seminars are now available on the VVTNS website and YouTube channel Flip flops and toggles for effective decision making in neural circuits Tim O'Leary University of Cambridge talk given on April 17, 2024 https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ Neural mechanisms of memory-guided behaviour Lorenzo Fontolan Université Aix-Marseille talk given on May 1, 2024 https://www.wwtns.online/past-seminars-2023-2024 --------------------------------------- Neuronal network reconstruction through causality measures Douglas Zhou Jiatong University talk given on May 8, 2024 https://www.wwtns.online/past-seminars-2023-2024 ---------------------------- Mechanisms underlying responses to optogenetic perturbations Agostina Palmigiano Gastby Unit, London talk given on May 15, 2024 https://www.wwtns.online/past-seminars-2023-2024 ---------------------------- How random connections and motifs shape the covariance spectrum of recurrent network dynamics Yu Hu Hong Kong University of Science and Technology talk given on May 22, 2024 https://www.wwtns.online/past-seminars-2023-2024 ----------------------------- *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ

1 0

NEW BOOK:The Artificial Intelligence Papers
by James V Stone Aug. 2, 2024

Aug. 2, 2024

NEW BOOK: The Artificial Intelligence Papers: Original Research Papers With Tutorial Commentaries. TOC and Chapter 1: =https://jamesstone.sites.sheffield.ac.uk/books/theaipapers An intellectual string of pearls that would complement the bookshelf of anyone invested in the forthcoming age of artificial intelligence. Karl Friston, FRS. https://www.amazon.com/dp/1068620005 https://www.amazon.co.uk/dp/1068620005 Abstract Modern artificial intelligence (AI) is built upon a relatively small number of foundational research papers, which have been collected and republished in this unique 350-page book. The first chapter provides a summary of the historical roots of AI, and subsequent chapters trace its development, from Rosenblatt's perceptron in 1958 to one of the early GPT models in 2019. Each paper is introduced with a commentary on its historical context and a tutorial-style technical summary. In several chapters, additional context is provided by the paper's original author(s). Written in an informal style, with a comprehensive glossary and tutorial appendices, this book is essential reading for students and researchers who wish to understand the fundamental building blocks of modern AI. -- James V Stone Visiting Professor, Sheffield University, UK. Web: https://jamesstone.sites.sheffield.ac.uk/books Twitter: @jgvfwstone

1 0

PhD position, Comp Neuro, Moreno-Bote Lab, Barcelona
by Ruben Moreno Bote Aug. 1, 2024

Aug. 1, 2024

Looking for talented PhD students. Project: the foundations of behavior and intelligence. Come to our Comp Neuro lab in Barcelona to study natural and artificial Intelligence. Recent, related articles of the lab: https:// <https://t.co/QoJ9VG6p7g>nature.com/articles/s41467-024-49711-1 https://www.nature.com/articles/s41467-024-50214-2 PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2024 and January 2025 -- 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>

1 0

Reminder: "Bridging Fields in Creativity" - 11-13 September 2024 - Germany
by Jens-Bastian Eppler July 30, 2024

July 30, 2024

Dear Colleagues, This is a friendly reminder about our upcoming conference titled *"Bridging Fields in Creativity: Towards Circuit Mechanisms of the Creative Process."* The event aims to bring together interdisciplinary approaches to understanding the neural mechanisms underlying creativity. /Please note that registration closes in 10 days. Make sure to register soon and check the conference website for more information./ *Event Details:* * *Date:* 11-13 September 2024 * *Location:* Altes Amtsgericht Oppenheim, Germany (just 30 minutes from Frankfurt Airport) * *Homepage:* conference information <https://fias.institute/en/events/conferences/2024/creativity-conference/> * *Registration:* conference registration <https://indico.cern.ch/event/1424765/registrations/106509/> *Confirmed Speakers:* * Anna Abraham (University of Georgia, USA) * Jaan Aru (University of Tartu, Estonia) * Roger Beaty (Penn State University, USA) * Mathias Benedek (University of Graz, Austria) * Carlos Brody (Princeton University, USA) * Caroline di Bernardi Luft (Brunel University London, UK) * Yoed Kenett (Technion, Israel) * Kristian Kersting (TU Darmstadt, Germany) * Daniel Schacter (Harvard University, USA) * Claire Stevenson (University of Amsterdam, The Netherlands) * Tony Veale (University College Dublin, Ireland) * Angela Yu (TU Darmstadt, Germany) We look forward to seeing you in Oppenheim for this exciting exploration of creativity and neuroscience. Best regards, *Matthias Kaschube* Frankfurt Institute for Advanced Studies Institute of Computer Sciences Goethe University Frankfurt, Germany *Simon Rumpel* Institute of Physiology University Medical Center Johannes-Gutenberg University Mainz, Germany -- Dr. Jens-Bastian Eppler Postdoctoral Researcher in Theoretical Neuroscience Frankfurt Institute for Advanced Studies Department of Computer Science Goethe University Frankfurt Ruth-Moufang-Straße 1 60438 Frankfurt am Main eppler(a)fias.uni-frankfurt.de ORCID:https://orcid.org/0000-0003-4288-0918 ResearchGate:https://www.researchgate.net/profile/Jens-Bastian-Eppler

1 0

CFP: 13 th International Conference on Complex Networks & Their Applications
by Hocine Cherifi July 29, 2024

July 29, 2024

What: COMPLEX NETWORKS 2024 Where: Istanbul, Turkey When: December 10 - 12, 2024 Website : COMPLEX NETWORKS 2024 <https://complexnetworks.org/> · You are cordially invited to submit your contribution by *September 03, 2024,* at *https://complexnetworks.org/submission/* <https://complexnetworks.org/submission/> *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages · *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages. · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Computational & Mathematical organization <https://link.springer.com/journal/10588> edited by Springer Nature <https://www.springernature.com/gp> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific <https://www.worldscientific.com/> o Complex Systems Journal <https://www.complex-systems.com/> *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

1 0

SAB 2024 Registration and Program
by Jeffrey L Krichmar July 29, 2024

July 29, 2024

Dear Colleagues, For those interested in attending the 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024), registration is open (early registration ends August 5th) and a draft program schedule is available. More details can be found at: https://sab2024.socsci.uci.edu <https://sab2024.socsci.uci.edu/> The conference will be held September 9-12 at: CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Hope to see you in sunny Irvine! 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://sites.uci.edu/sab2024/

1 0

Registration Now Open for INCN conference, Sept. 23-25, 2024, Rome
by Mattia Maurizio July 26, 2024

July 26, 2024

Dear Colleagues, We are happy to announce that registration is now open for the 1st conference of the Italian Network for Computational Neuroscience (INCN '24) to be held in Rome at the Istituto Superiore di Sanità (Italian National Institute of Health, ISS) from September 23rd to 25th, 2024. INCN conference aims to establish a collaborative network for Italian computational and theoretical neuroscientists. Inspired by successful initiatives in Europe, it seeks to leverage national research efforts to create a thriving research environment, fostering collaboration, information exchange, and scientific advancement for both young researchers and the broader neuroscience community. The registration fee is 50 EUR and covers access to all conference sessions and materials, coffee breaks and light lunches. Visit our website at https://incn.it/ to register and learn more about the conference program, speakers, travel information, and accommodation options in Rome. Consider that only a limited number of registrations will be accepted for logistic reasons and the deadline is on August 23rd, 2024. Keynote speakers of the conference will be Stefano Fusi (Columbia U., New York), Valerio Mante (ETH, Zurich) and Stefano Panzeri (UKE, Hamburg), which together with other 30 invited speakers will present the cutting-edge research and insights on the latest advancements in the field. We look forward to seeing you at INCN '24 and please spread the news! Sincerely, The INCN Organizing Committee Maurizio Mattia (ISS), Nicolas Brunel (Duke U. & Bocconi U.), Paolo Massobrio (Genoa U.) and Sergio Martinoia (Genoa U.) [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

1 0

Postdoc Position on Brain-AI Interfaces at the University of Vienna
by Moritz Grosse-Wentrup July 25, 2024

July 25, 2024

Dear all, We have an open position for a postdoctoral researcher with experience in brain-computer interfacing and artificial intelligence to further advance our new class of Brain-Artificial Intelligence (BAI) interfaces: https://arxiv.org/abs/2402.15011 A central part of your research would be to further develop our BAI for single-unit data recorded in language areas of a post-stroke aphasia patient, a project we carry out in close collaboration with the Translational NeuroTechnology Lab at TUM, headed by Simon Jacob (http://simonjacob.de/) Further information on the open position is available at: https://jobs.univie.ac.at/job/University-Assistant-postdoctoral/1003003101/ If you are interested, please apply by August 16th via the link provided on the page above. The envisioned starting date is in the fall of 2024. The contract is initially limited to two years but can be extended. For informal inquiries, please send me an email at moritz.grosse-wentrup(a)univie.ac.at. Further information about our research group is available at http://neural.engineering. Best regards, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Kolingasse 14-16, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

1 0

Postdoctoral Position in Computational/Theoretical Neuroscience at UC San Diego
by Marcus Benna July 25, 2024

July 25, 2024

Dear Colleagues, A postdoctoral position in computational neuroscience with flexible start date is available in the lab of Dr. *Marcus Benna <https://biology.ucsd.edu/research/faculty/mbenna>* at the University of California, San Diego. Our research seeks to understand how neural information processing under noisy and resource-constrained conditions allows the brain to efficiently perform computational tasks and control relevant behaviors. *This position <https://biology.ucsd.edu/jobs/postdoc#Computational/Theoretical-Neuro>* will involve the analysis of neural activity data (calcium imaging or electrophysiology) collected by our collaborators, as well as theoretical modeling of learning and task performance in neural networks. *Our research group <https://bennalab.biosci.ucsd.edu/people/>* is part of the vibrant Department of Neurobiology at UCSD, which is highly collegial, and offers many opportunities for collaborations, both formal and informal. Postdoctoral trainees are encouraged to attend seminars and present their work at departmental events. Our group is located in Tata Hall and shares space with several experimental neuroscience laboratories. We offer a stimulating environment with opportunities to develop new research directions and supportive mentorship for individual career development. The applicant should hold a PhD in computational neuroscience, physics, applied math, computer science, data science, or a related field, preferably with a degree date no more than two years before the start date. Candidates should have a strong quantitative background, and programming skills would be highly desirable. Experience in computational modeling, machine learning and/or data analysis would be particularly beneficial. Strong verbal and written communication skills are required. We’re looking for collaborative, motivated individuals who can conduct an independent research project and work as part of a team. To apply, please email Dr. Marcus Benna (mbenna(a)ucsd.edu) with the subject line “Postdoc Application”, and include - A cover letter/research statement that summarizes your experience, contributions to science, as well as research interests and how they align with the lab’s work. - CV with publication list - Names and contact information of 3 references Review of applications will begin on Aug. 26th. Best, --Marcus ========================== Marcus K. Benna Assistant Professor Department of Neurobiology School of Biological Sciences University of California, San Diego

1 0

PhD position in computational neuroscience at the Kavli Institute for Systems Neuroscience
by Soledad Gonzalo Cogno July 24, 2024

July 24, 2024

Dear all, My group has an available PhD position in computational neuroscience. The candidate will develop computational models of ultraslow oscillations and sequences. The work will be conducted in close collaboration with experimentalists and in a highly interdisciplinary environment. The position is part of my group (https://gonzalocognolab.com/) which is part of the Kavli Institute for Systems Neuroscience (https://www.ntnu.edu/kavli) and of the recently established Centre for Algorithms in the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) We offer an international and multidisciplinary environment, and excellent opportunities for scientific and personal development. - For more information and details about how to apply please visit this link: https://www.jobbnorge.no/en/available-jobs/job/265039/phd-in-the-gonzalo-co… - The application deadline is August 25. Best, Soledad --- Soledad Gonzalo Cogno, PhD Group Leader Kavli Institute for Systems Neuroscience Olav Kyrres gate 9 7030 Trondheim, Norway https://gonzalocognolab.com/

1 0

CFP FRCCS 2025 Bordeaux, France May 21 – 23, 2025
by Hocine Cherifi July 24, 2024

July 24, 2024

Fifth France’s International* C*onference on* C*omplex* S*ystems May 21 – 23, 2025 Bordeaux, France *FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The fifth edition of France’s International Conference on Complex Systems (FRCCS 2025) will be held in Bordeaux, France. This single-track international conference 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 2025 allows participants to meet yearly in France, exchange and promote ideas, and facilitate 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. You are cordially invited to submit your contribution by *February 21, 2025.* Finalized work (published or unpublished) and work in progress are welcome. Three types of contributions are accepted: · *Long Papers* about *original research* (up to 12 pages) · *Short Papers *about* original research* (up to 8 pages) · *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* · Elsa Arcaute, <https://www.ucl.ac.uk/bartlett/casa> University College London, UK · Ulrik Brandes <https://sn.ethz.ch/> ETH Zürich Switzerland · Mikko Kivelä, <http://www.mkivela.com/> Aalto University, Finland · Caterina La Porta, <https://www.oncolab.unimi.it/about-caterina/> University of Milan, Italy · *More TBA…* *Publication* o *Papers *will be included in the conference *proceedings edited by Springer* o *Extended abstracts* will be included in the book of abstracts (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 Frontiers in Big Data <https://www.frontiersin.org/journals/big-data> edited by Frontiers *Submission * · Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2025/ <https://cmt3.research.microsoft.com/FRCCS2025/> · *Select the Track: FRCCS2025* *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 - *Machine learning and AI in the context of Complex Systems* *GENERAL CHAIRS* Jean Loup Guillaume La Rochelle University, France Bruno Pinaud University of Bordeaux, France *PROGRAM CHAIRS* Hocine Cherifi University of Burgundy, France Guy Melançon University of Bordeaux, France Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

1 0

Early Registration Deadline Approaching - Bernstein Conference 2024
by Alexander Lammers July 24, 2024

July 24, 2024

The early registration deadline for the Bernstein Conference 2024 is approaching! Register by July 31 and secure the early bird fees! Registration: https://bernstein-network.de/bernstein-conference/registration/ ____ 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. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

Open PhD positions at the University of Sussex
by Johanna Senk July 22, 2024

July 22, 2024

Two fully-funded PhD scholarships (3.5 years) are available at the University of Sussex in Brighton, UK, for a project about bio-inspired multi-task learning with adaptive network structures. Applicants should have a background in physics, mathematics, computer science, computational neuroscience, or a related field. Solid skills of math and programming (preferentially in Python or C++) are required. Experience with modelling, analysis of complex systems, simulation, and software development are beneficial. Applicants should have a keen interest in neuroscience, interdisciplinary projects, and collaborative work. For further details and instructions on how to apply, please visit: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1742-PhD-Infor… Informal enquiries about this opportunity are highly encouraged and can be sent to Johanna Senk (j.senk(a)sussex.ac.uk <mailto:j.senk@sussex.ac.uk>). -- Dr. Johanna Senk Lecturer in Computer Science School of Engineering and Informatics Chichester Building University of Sussex Brighton BN1 9QF United Kingdom

1 0

PhD position @TU Berlin on Computational Cognitive Neuroscience of Language
by Anuja Negi July 22, 2024

July 22, 2024

Hi, *Job Opening: PhD position @TU Berlin on Computational Cognitive Neuroscience of Language* We are looking for a highly motivated researcher to join our group for an ERC-project that focuses on the development of computational models to understand how linguistic information is represented in the human brain. Computational encoding models in combination with large language models will be developed, compared, and applied to identify linguistic representations in the brain. We are a small yet dynamic international team, driven by motivation and collaboration within a supportive environment. Please find further details about the positions and how to apply here: https://www.jobs.tu-berlin.de/stellenausschreibungen/184845 Employer: TU Berlin Salary grade: TV-L 13 Berliner Hochschulen Starting date: Immediately The application deadline is August 16th, 2024. For informal inquiries please contact Fatma Deniz (deniz(a)tu-berlin.de) directly. Best, Anuja

1 0

CFP- ICICIP2025, Muscat, Oman, February 6-11, 2025
by Pub Conference July 21, 2024

July 21, 2024

*Call for Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region. Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues. The paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5… *Submission deadline: November 1, 2024*

1 0

Announcing SNUFA 2024 workshop: 5-6 November, 2024
by Friedemann Zenke July 19, 2024

July 19, 2024

We are happy to announce SNUFA 2024: 5-6 November (online)--your friendly focus meeting on spiking neural networks that compute. Abstract submission and registration are now open! See https://snufa.net/2024 for details. This year's invited speakers are Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), and Christian Machens (Champalimaud). Like every year, 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 to have a manageable number of talks with ample discussion time. SNUFA 2024 is brought to you by Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. -- https://snufa.net/2024

1 0

"Bridging Fields in Creativity" - 11-13 September 2024 - Germany
by Matthias Kaschube July 19, 2024

July 19, 2024

Dear Colleagues, We would like to announce the upcoming conference "Bridging Fields in Creativity: Towards Circuit Mechanisms of the Creative Process." This interdisciplinary event aims to explore and unify approaches to understanding creativity's neural mechanisms. REGISTRATION OPEN NOW Date: 11-13 September 2024 Location: Altes Amtsgericht Oppenheim, Germany (30 min from FRA airport) Homepage: conference information <https://fias.institute/en/events/conferences/2024/creativity-conference/> Registration: conference registration <https://indico.cern.ch/event/1424765/registrations/106509/> Confirmed Speakers: Anna Abraham (U Georgia, USA) Jaan Aru (U Tartu, Estonia) Roger Beaty (Penn State, USA) Mathias Benedek (U Graz, Austria) Carlos Brody (Princeton, USA) Caroline di Bernardi Luft (Brunel U London, UK) Yoed Kenett (Technion, Israel) Kristian Kersting (TU Darmstadt, Germany) Daniel Schacter (Harvard, USA) Claire Stevenson (U Amsterdam, The Netherlands) Tony Veale (U Dublin, Ireland) Angela Yu (TU Darmstadt, Germany) We look forward to seeing you in Oppenheim. Bastian Eppler, Matthias Kaschube Frankfurt Institute for Advanced Studies Institute of Computer Sciences Goethe University Frankfurt, Germany Simon Rumpel Institute of Physiology University Medical Center Johannes-Gutenberg University Mainz, Germany

1 0

CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST
by smart＠neuralcorrelate.com July 19, 2024

July 19, 2024

**** CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 19th edition of world's Best Illusion of the YearSM Contest, hosted by the Neural Correlate Society and supported again by the Museum of Illusions <https://www.museumofillusions.com/> as Platinum Sponsor!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2023) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2024 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email (illusion.contest.entries(a)outlook.com <mailto:illusion.contest.entries@outlook.com> ) until September 15th, 2024. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion <x-msg://2/championsofillusionbook.com> and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 <tel:%2B1%20718-270-4520> http://smc.neuralcorrelate.com

1 0

Several post-doc positions available at the Paris Brain Institute (ICM) for new DBS project
by joana.guedes＠icm-institute.org July 17, 2024

July 17, 2024

Dear all, A new multidisciplinary project recently kicked-off at the Paris Brain Institute (ICM), called DBS - From genetic mutations to motor defects & recovery: https://institutducerveau-icm.org/en/major-cross-functional-project-deep-br… We are now recruiting for 8 post-doc positions that will be shared between 2 labs at the ICM. Below, you can find more information about DBS and links to the job postings. A motor circuit approach linking genes to behavior in Parkinson’s disease DBS is an exciting collaborative, interdisciplinary and multi-species initiative at the Paris Brain Institute. By bridging approaches from human genetics, cellular neurobiology, computational approaches, physiology of motor circuits from genetic model organisms to humans, our aim is to build novel strategies to stimulate resilient motor circuits in Parkinson’s disease. The originality of the DBS project lies in its interdisciplinary approach involving duos of researchers from different fields of neuroscience with very different backgrounds who will closely train the next generation of postdoctoral fellows. Collective Interest Projects (CIPs) - Collaborative, interdisciplinary, innovative & transformative We are now recruiting postdoctoral fellows dedicated to individual Collective Interest Projects, co-supervised by experts from diverse fields. These early-career researchers will receive interdisciplinary training, spanning genetics, cellular physiology, imaging, optogenetics, behavior, or modeling. We offer world class research facilities and double supervision from leaders across fields of neuroscience. You would be part of a dynamic community of young researchers within a highly collaborative environment! The job postings (still missing one): • CorticalMLR project - https://institutducerveau-icm.org/wp-content/uploads/2024/06/dbs_cip-cortic… • LysoPDCalcium project - https://institutducerveau-icm.org/wp-content/uploads/2024/06/dbs_cip-lysopd… • MAP-MODEL-MLR project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-map-mo… • SUSCEPTDopamine project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-suscep… • Knock-in Fish project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-knock-… • FUST project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-fust_r… • Project Behavioral homology - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-unstab… All positions are also available here: https://institutducerveau-icm.org/en/espace-dedies/welcome-recruitment-2/ Best wishes, Joana Guedes

1 0

Tenure-Track Position in Artificial Intelligence for Science
by Frederic Jurie July 15, 2024

July 15, 2024

Job Title: Tenure-Track Position in Artificial Intelligence for Science Department: College of Science Location: University of Caen, Normandy, France Research lab : GREYC CNRS https://www.greyc.fr Reporting To: University President Collaborating With: Fellow Academics, Postgraduate Students Position Level: Academic and Research Working Hours: 64 teaching hours per year; total working hours variable due to additional research, administrative, and service responsibilities Contract Type: Fixed-Term (4 years), with an expectation of automatic promotion to full professorship after the term Gross salary: €43,416/year Package: €200,000 (for recruitment of doctoral students, research funding, etc.) Summary of the position The University of Caen is seeking a dynamic and innovative researcher to join our faculty as a tenure-track professor in the field of Artificial Intelligence (AI) and Machine Learning (ML) for Science. This position is part of our initiative to become a leading institution in AI for transforming research across a wide range of disciplines. We are looking for candidates with a strong multidisciplinary background at the interface of AI/ML and sciences, and whose research can drive significant advancements in nuclear physics, materials science, or chemical engineering. The successful candidate will be expected to contribute to our endeavour of leveraging AI/ML to make discoveries in these fields and to explore the societal impacts of these technological advancements. Main Duties Lead pioneering research projects integrating AI/ML with nuclear physics, materials science, or chemical engineering to drive significant scientific advancements. Interdisciplinary Collaboration: Work with interdisciplinary teams to leverage AI/ML for discoveries across the above scientific disciplines. Secure Funding: Obtain external funding from national and international agencies to support and expand research initiatives. Teaching and Mentorship: Teach and mentor undergraduate and graduate students. Scholarly Publications: Publish research findings in top-tier academic journals and present at prestigious international conferences. Community Engagement: Engage with the broader scientific community and the public to communicate the societal impacts of AI/ML advancements. Curriculum Development: Contribute to the development and enhancement of the AI/ML curriculum within the College of Science. Service Responsibilities: Participate in departmental, college, and university service activities, including committee work and outreach programs. Expected Qualifications Educational Background: A Ph.D. in one of the following fields: Computer Science, AI, ML, Applied Mathematics, Material Sciences, Chemistry, Nuclear Physics. Research Experience: At least 4 years of postdoctoral research experience. Expertise: Demonstrated expertise in applying AI/ML to scientific research, with a strong publication record in top-tier journals. Funding: Proven experience in securing research funding from competitive sources. Communication Skills: Excellent communication and collaboration skills, with a track record of interdisciplinary teamwork. Mentorship: Experience in advising and mentoring graduate students. Teaching: Demonstrated teaching experience at the undergraduate and/or graduate level. Innovation: A strong commitment to innovation and the ability to translate research findings into practical applications. Leadership: Potential for leadership in developing new research initiatives and contributing to the strategic goals of the university. Language : knowledge of French is mandatory for teaching. Application Research Statement: A detailed statement outlining your research interests, goals, main contributions and achievements. Significant Publications: A list of your five most significant publications, along with a portfolio showcasing your research contributions. Research Project Proposal: A comprehensive proposal of your intended research project, including objectives, methodology, expected outcomes. Implementation Plan: A description of how you plan to implement the research project at the University of Caen, including potential collaborations, required resources, and a timeline. How to Apply Applications are to be submitted through the following site: : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_CPJ.htm The application file has to be filled in with this template: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/CPJ/CPJ_applica… If you're having trouble with the online submission procedure (which may seem complex at first), we'll be happy to help. Important dates Application Deadline: September 15, 2024 Notification of Decision: By the end of October 2024 Position Start Date: December 2024 Contact For further information, please email Frederic Jurie at frederic.jurie(a)unicaen.fr, using 'AI for Science Tenure-Track Position' as the email's subject. In addition, the official presentation of the position (in French and English) is available here: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub…

1 0

ANEIS: Applied Neurosciences EBRAINS-Italy School - Sept. 9-14, 2024 (Ventotene Island, Italy)
by Mattia Maurizio July 13, 2024

July 13, 2024

Dear Colleague, This is to announce the forthcoming ANEIS 2024 - APPLIED NEUROSCIENCES SCHOOL LINKING NEUROTECHNOLOGY TO CLINICS (Ventotene – LT – Italy - September 9-14, 2024) In the framework of EBRAINS-Italy<https://ebrains-italy.eu/> training initiatives. ANEIS 2024 program offers up to 30 students an immersive experience to the participants at the forefront of neuroscience research and its applications, covering a broad range of themes, including theoretical, computational, and systems neuroscience, data analysis, neuroinformatics, and clinical applications. The deadline for application is July 30, 2024 To process the application, and for other information, please CLICK HERE<https://aneis.eu/> Applicants can be junior scientists (PhD students and Post-Doc fellows or residency students) beginning their careers in the broad field of Neuroscience. Registration is limited to 30 participants. Admission to ANEIS 2024 will be on a selection based on the provided CV, a Motivation letter, and the sponsorship of a senior researcher. Applicants excluded from the list of attendees of ANEIS 2024 will be included in the priority list for the ANEIS 2025. The registration fee is € 300. This amount covers: · tuition fee. · lodging for 5 nights (from September 9 to September 13, 2024) · lunches only and the social dinner. · touristic boat experience We are looking forward to hearing from you. Sincerely, Michele Giugliano (SISSA and UNIMORE) Stefano Ferraina (UNIROMA1) Jonathan Mapelli (UNIMORE) Maurizio Mattia (ISS) [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

1 0

Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio July 12, 2024

July 12, 2024

Dear All, A fully funded PhD position is available in my research group at Loughborough University on the topic "Lifelong learning and shareable models: How to reduce the energy footprint of AI and contribute to a sustainable decarbonised future". Please find further details at https://www.lboro.ac.uk/study/postgraduate/research-degrees/phd-opportuniti… Application deadline: 19th July 2024 This project will further extend research directions highlighted in our recent paper "A collective AI via lifelong learning and sharing at the edge" Nature Machine Intelligence, March 2024, available at : https://rdcu.be/dB9zt Requirements: Applicant should have, or expect to achieve, a first-class honours (or international equivalent) in computer science or related subjects. Applicants must meet the minimum English language requirements ( International website<http://www.lboro.ac.uk/international/applicants/english/>) Project details: Current AI models are not designed to reuse and share knowledge. When conditions change, e.g., data distributions, locations, or platforms, retraining needs to occur from scratch. In some cases, like for foundation models or for complex robotics tasks, the process requires very large amount of data and energy. Recent advances towards lifelong learning and sharable models promise to create a new efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models to contribute to reduce the energy footprint of AI. An overview of this emerging field can be found in a recent publication from our group on Nature Machine Intelligence https://doi.org/10.1038/s42256-024-00800-2 The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with collaborators from Loughborough Business School. Learn more about Digital Decarbonisation<https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/>. The project is in collaboration with the co-supervision of Dr. Vitor Castro, Dr. Rebecca Higginson and Prof. Tom Jackson. Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio (he/him or they/them) Reader in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

1 0

Postdoctoral and PhD opportunities - Lefebvre Lab
by J?r?mie Lefebvre July 11, 2024

July 11, 2024

Postdoctoral and PhD opportunities - Resilience and diversity of complex networks - University of Ottawa, Ottawa, Canada Application Deadline: Sept 1st 2024 (reposted, deadline extended) The Lefebvre (https://scholar.google.com/citations?user=CNtIaZoAAAAJ&hl=fr ) and Kharouba (https://kharoubalab.weebly.com/) labs are seeking candidates to fill ONE Postdoctoral and ONE PhD (Physics, Theoretical biology and/or Cellular and molecular medicine) fully funded, co-supervised positions to explore how heterogeneity influences the dynamics and resilience of complex systems. These interdisciplinary projects will combine mathematical (e.g., dynamical systems, spectral theory), computational (e.g., data-informed simulations) approaches used in neuroscience and other complex systems fields to study how cellular heterogeneity contributes to the stability, coding capacity and resilience of neural circuits and overall brain function(s). The overall objective of the projects is to better understand the role played by heterogeneity in the genesis of critical events (e.g., seizures) and identify potential intervention strategies and/or therapeutic targets. A lay summary of the project can be found here (https://theconversation.com/what-epilepsy-teaches-us-about-diversity-and-re…) Relevant publications: https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00636-2, https://www.pnas.org/doi/full/10.1073/pnas.2218841120 The successful candidate will join an extensive network of existing experimental and clinical collaborations with both internal (uOttawa) and external groups (University of Toronto, Krembil Brain Institute, UHN). The research will be conducted in the uOttawa Bioscience Complex, a teaching and research hub hosting dozens of state-of-the-art experimental and computational interdisciplinary research facilities in downtown Ottawa, Canada. Successful candidates will be immersed in a highly interdisciplinary environment, with access to many additional training and networking activities, and be associated with Centre for Neural Dynamics, the Ottawa-Carleton Institute of Biology, the uOttawa Brain and Mind Institute as well as the Krembil Brain Institute. Details Start dates: as early as September 1st 2024. Position Description: Trainees will be expected to work in-person for most of the position. Trainees will be expected to participate in the lab's scholarly activities (i.e., workshops, meetings), and to support other lab member's work whenever applicable. We expect from applicants to demonstrate the ability to work respectfully with others in teams to carry out project goals and contribute to an inclusive lab environment. Additional details of the projects will be provided during the interview process. Please don't hesitate to reach out at Jeremie.Lefebvre [at] uottawa.ca for any questions. Requirements The ideal candidates are expected to possess strong mathematical, computing, writing and presentation skills, and express a vivid interest in computational neuroscience, applied mathematics, computational biology and biophysics. Applicants must meet the required qualifications for admission to graduate/postgraduate studies at the University of Ottawa, and comply to international regulations regarding traveling, studying and working in Canada whenever applicable. Successful candidates must be eligible to work in Ontario as of September 1st 2024 (or at a mutually agreed date) Funding Postdoctoral position: This position is fully funded for 2 years with a stipend of $48,000 CAD per year plus benefits. PhD position: This position is fully funded for 4 years with a stipend of $30,000 CAD per year, including teaching assistantship duties. The successful candidate will be eligible to apply for Teaching Assistant (TA) positions and/or other scholarships, such as entrance scholarships. Accommodations and Accessibility: Should you require a copy of this posting in an alternate format, please contact us as soon as possible and we would be happy to get one to you in a timely manner. We believe in the importance of supporting on the-job success for the incumbent and are pleased to discuss and/or provide specific tools, resources, or other requirements for day-to-day work requirements, as needed. How to Apply :Interested candidates are invited to submit their application to Jeremie.Lefebvre [at] uottawa.ca, using the subject headline "Resilience position". In your dossier, please include: 1. A cover letter stating your interest and explaining why you are a good candidate for this position, and specify clearly which position (Postdoc, PhD) you are applying for 2. Up to date CV including a list of publication, if applicable 3. Contact information for 2 references Applications will be reviewed until the position is filled. Only candidates selected for an interview will be contacted. Jeremie Lefebvre

1 0

[Meetings] Call for Participation - Join Us at NeuroWearX 2024: Advancing Wearable Robotics and Neural Interfacing Technologies @ IEEE EMBC 2024!
by NeuroWearX July 10, 2024

July 10, 2024

Dear Neuroscientists and Roboticists, We are excited to invite you to participate in the NeuroWearX 2024 workshop, held in conjunction with the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024) on July 15, 2024. This engaging and insightful event will take place from 8:30 AM to 12:30 PM EST at Disney's Coronado Springs in Orlando, USA. We also offer a “Hybrid” format for remote attendees. Call for Participation: Date: July 15, 2024 Time: 8:30 am - 12:30 pm EST Location: Disney's Coronado Springs, Orlando, USA Format: Onsite & Online (via Zoom for free) NeuroWearX Workshop: https://www.neurodesign-hri.ws/neurowearx-2024 In conjunction with IEEE EMBC 2024: https://embc.embs.org/2024/ Workshop Description:: The field of wearable robotics is advancing rapidly, with innovations like exoskeletons and prosthetics poised to revolutionize healthcare and enhance daily living. To fully harness their potential, these devices must be intuitive, comfortable, and seamlessly integrated with the human body and mind. NeuroWearX 2024 workshop will explore the cutting-edge integration of human, AI, and machine through wearable and implantable neural interfacing technologies. Our goal is to revolutionize healthcare with a focus on equity and accessibility. The workshop will cover a wide range of topics, including: - Neural Interfaces and Interaction Technologies: Explore biosensors, wearable robotics, Virtual/Augmented Realities, and human-AI interactions. - Neuroscience and Behavioral Psychology: Understand the cognitive and physiological interactions between humans and technology to enhance user experience, comfort, and satisfaction. - Translational Neurotechnologies: Learn about the path from research to market, technology transfer, and commercialization for diverse populations. Distinguished Speakers: - Dr. He (Helen) Huang, Professor, NC State and UNC - Dr. Pedro Lopes, Associate Professor, University of Chicago - Dr. S. Farokh Atashzar, Assistant Professor, New York University - Dr. Tyler Clites, Assistant Professor, University of California, Los Angeles - Dr. Sean Montgomery, Founder of EmotiBit Don't miss this opportunity to engage with leading experts and fellow professionals in the field. Whether you join us in person or virtually, NeuroWearX workshop is dedicated to provide an inspiring and informative event that will deepen your understanding and broaden your horizons in wearable robotics and neural interfacing technologies. Registration (for Zoom Link): Secure your spot by registering here <https://forms.gle/y6FvyN4DLWReXFFi8>: https://forms.gle/y6FvyN4DLWReXFFi8 We look forward to your participation in this exciting event! Best regards, NeuroWearX Workshop Organizing Committee

1 0

[Call for contributed talks] Bernstein Workshop: Understanding Local Third Factors in Synaptic Plasticity
by Fabian Mikulasch July 10, 2024

July 10, 2024

Several slots for short contributed talks are available at the Satellite Workshop *Understanding Local Third Factors in Synaptic Plasticity: Mechanisms and Functional Implications*//at the *Bernstein conference*//(Sunday, Sep 29, Frankfurt, Germany). The workshop will discuss local factors that determine synaptic plasticity beyond pre- and postsynaptic spiking. Examples include the influence of the postsynaptic membrane potential or Glial cells on synaptic plasticity. More information on https://bernstein-network.de/bernstein-conference/program/satellite-worksho… Potential speakers might apply with a short abstract of the planned talk and relevant references if applicable. We especially encourage early stage researchers to contribute their results! To apply, please contact Andreas Schneider (andreas.schneider(a)ds.mpg.de) Fabian Mikulasch (fabian.mikulasch(a)ds.mpg.de) or Viola Priesemann (viola.priesemann(a)ds.mpg.de) Best regards, Andreas Schneider Fabian Mikulasch Viola Priesemann

1 0

Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: July 23
by ICAS Organizing Committee July 10, 2024

July 10, 2024

Call for Participation (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by July 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events *8th Advanced Course on Data Science & Machine Learning - ACDL 2025, *9-13 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2025 (AoE)* https://acdl2025.icas.events/registration/ https://acdl2025.icas.events/ acdl(a)icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Author Registration Deadline: June 23 * *Early Registration Deadline for the Course: June 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

1 0

Postdoc opportunity in Stockholm, Sweden
by Gonzalo Uribarri July 8, 2024

July 8, 2024

Hello everyone, Our research group is looking for a Postdoc to work on a project involving Machine Learning and Dynamical Systems modeling applied to biomedical data. The project is part of a collaboration with Getinge, a leading MedTech company based in Stockholm, and is funded by a grant from Vinnova, the Swedish innovation agency. You can find the details of the position at the following link: https://kth.varbi.com/en/what:job/jobID:739922/ For both formal and informal inquiries, you can contact me directly ( uribarri(a)kth.se) or the group's PI, Erik Fransén (erikf(a)kth.se) Please share this with anyone who might be interested in the position. Best regards, Gonzalo Uribarri

1 0

[REMINDER] Student applications are open for Imbizo 2025
by Spyridon Chavlis July 8, 2024

July 8, 2024

Dear friends and colleagues, Student applications for the next Imbizo are still *OPEN*. 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: *SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2025)* 12 January - 2 February 2025, Noordhoek Beach, Cape Town, South Africa https://imbizo.africa/ * Application deadline: 24th July 2024 at 20:00 UTC* The Imbizo 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 three-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 modeling of neurons, neural systems, behavior, 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 Honors 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 fields). 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). *Course fees and Scholarships:* Course Fee: €1450 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. Scholarships on offer: (a) *Full Scholarship* includes a waived course fee (€1450) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) *Partial Scholarship* includes a waived course fee (€1450) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case by case basis. (c) *Course Scholarship* includes a waived course fee (€1450), but you will be responsible for booking and paying for your own travel costs to Cape Town. *Note:* (a) You must ensure you have a valid passport when applying. (b) Visa application and related costs remain the responsibility of all accepted students. *Important dates:* Applications CLOSE 24th July 2024 at 20:00 UTC References SUBMITTED 31st July 2024 at 20:00 UTC Outcomes NOTIFIED mid-September 2024 Accept BY 1 week after notifications Imbizo STARTS 12 January 2025 Imbizo ENDS 2 February 2025 *Information and applications* https://imbizo.africa/apply/ *Questions?* isicn.imbizo.planning [AT] gmail.com *What is an Imbizo?* \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ *ORGANIZERS and 2025 Affiliate Organisations:* Arif Hamid (University of Minnesota) Peter Latham (Gatsby Unit for Computational Neuroscience) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (Foundation for Research and Technology-Hellas) *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 DeepMind, Meta, and others. -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr>

1 0

[Call for Participants] 1st International Whole Brain Architecture Workshop (Online, July 16 Evening JST)
by 山川宏 July 8, 2024

July 8, 2024

Dear Everyone, Hiroshi Yamakawa, Chairperson of the Whole Brain Architecture Initiative (WBAI), Japan. I'm pleased to announce that we will host the "1st International Whole Brain Architecture Workshop" as detailed below. This workshop is a key activity in WBAI's efforts to develop human-like artificial intelligence. Specifically, we aim to share and utilize standardized Brain Reference Architecture (BRA) data and related data papers as design specifications for human-like AI. This workshop marks the first of its kind. Brain-inspired AI systems with architectures similar to the human brain provide intrinsic high interpretability and human compatibility. This approach could effectively bridge the gap to more advanced artificial intelligence (AGI) This event will bring together researchers and experts from a wide range of disciplines, including neuroscience, cognitive science, and artificial intelligence, to understand and emulate the computational capabilities of the brain, and to share and leverage such data We look forward to serving as a catalyst. We cordially invite you to participate in this exciting event. Details: Date & Time: Tuesday, July 16, 2024, 18:00-21:03 JST Format: Online (via Zoom) Language: English Participation Fee: Free Program Highlights: - Keynote Lecture: Prof. Kenji Doya (Okinawa Institute of Science and Technology) "Digital Brain Project of Brain/MINDS 2.0" - Oral Presentation Session (4 presentations) - Tutorial on BRA data construction To register, please fill out the form at the following link: https://docs.google.com/forms/d/e/1FAIpQLSfIqbu1oGUP6LE6ON0tHRDpFWUHmViz7-G… Registered participants will receive Zoom meeting information (URL) the day before and on the day of the event. Organizers: Organizer: The Whole Brain Architecture Initiative Supported by Transformative Research Areas (A) Biology of Behavior Change Operation: WBA Study Group Executive Committee Program Chair: Yoshimasa Tawatsuji Executive Chair: Hiroshi Yamakawa For more information, please visit: https://wba-initiative.org/en/24158/ If you have any questions, please don't hesitate to contact us at: bra-support(a)wba-initiative.org We look forward to your participation! Best regards, Hiroshi Yamakawa Whole Brain Architecture Initiative (WBAI)

1 0

Adam Tyson: Software Tools for Systems Neuroscience @ INCF/OCNS Software WG session on 9th July, 1500 UTC
by Ankur Sinha July 8, 2024

July 8, 2024

Dear all, Apologies for the cross posts. Please do spread the word to interested colleagues. Adam Tyson from the Neuroinformatics Unit at the Sainsbury Wellcome Centre will talk about the software tools that their group develops at the next INCF/OCNS Software Working Group (WG) session on July 09 at 1500 UTC. There will be a Q&A/discussion session after the presentation, followed by any WG business. Please find the abstract and joining information below: - When: July 9, 1500 UTC - Where: Zoom: https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09 - Web page: https://ocns.github.io/SoftwareWG/2024/06/26/wg-meeting-9-july-2024-softwar… Abstract: Understanding the brain requires processing and analysing large, multidimensional datasets. Systems neuroscience, in particular, has undergone a drastic transformation, with individual labs now commonly generating terabytes or even petabytes of data annually. While there has been an increase in software tools to process this data, many of these tools are single-purpose, inadequately maintained, or poorly integrated with the broader software ecosystem. This talk will outline some of the tools we are developing for computational neuroanatomy, video behavioural analysis, and data management. About the speaker: Adam Tyson is the Head Research Engineer at the Sainsbury Wellcome Centre and Gatsby Computational Neuroscience Unit at University College London. He established the Neuroinformatics Unit, a research software engineering team dedicated to developing robust, maintainable, and user-friendly software tools for neuroscience and machine learning. Adam completed a PhD in neuroscience at King's College London before working as a software developer at the Institute of Cancer Research and the Sainsbury Wellcome Centre. Resources/links: - BrainGlobe: https://brainglobe.info/ - Movement: https://movement.neuroinformatics.dev/ - NeuroBluePrint: https://neuroblueprint.neuroinformatics.dev/ - Neuroinformatics Unit: https://neuroinformatics.dev/ - Sainsbury Wellcome Centre: https://www.sainsburywellcome.org/web/ - Gatsby Computational Neuroscience: https://www.ucl.ac.uk/gatsby/gatsby-computational-neuroscience-unit On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

1 1

Online Vocational Training and Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR July 8, 2024

July 8, 2024

Dear colleagues, Apologies for the cross posts. Please spread the word to interested colleagues. Greetings Hope you are doing well. We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: 1. Students will experience advanced data analysis and work on 25 projects 2. After completion they can get a internship completion certificate 3. They can add in their resume and increase chances of getting a job 4. Only a one time fee of Rs. 99 (USD 2/EURO 2) *Description:* This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python. *Key Highlights:* 1. Experience writing efficient Python code 2. Master data structures and algorithms in Python 3. Build real-world applications with Python *What you will experience:* 1. Write Efficient Python Code 2. Experience best practices for writing clean, readable, and efficient Python code 3. Data Structures and Algorithms 4. Master essential data structures and algorithms in Python for effective problem solving 5. Build Real-world Applications 6. Apply your Python skills to build practical applications and projects Regards *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

1 0

[Call for Abstracts] - 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) (19-25 September 2024)
by steven gouveia July 5, 2024

July 5, 2024

[Call for Abstracts] 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) University of Azores, Ponta Delgada, São Miguel Island, Azores 19-25 September 2024 (19-20 Online, 23-25 in-person) About: The third edition of this conference will be organized into two distinct segments. The first segment, scheduled for September 19-20, 2024, will be conducted exclusively online, featuring virtual presentations. The second segment, taking place from September 23-25, 2024, will consist solely of in-person sessions. ETHICS OF AI AWARD 2024 (in-person talks only): The best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). Previous winner (2023): Dr. Cristina Voinea (The Oxford Uehiro Centre for Practical Ethics, Uni. Oxford). We're also proud to announce a publication partnership with Palgrave Macmillan. Selected papers presented at the conference will be considered (following a peer-review process) for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, which will be edited by Steven S. Gouveia. The community is invited to submit proposals in different research fields until August 1st, 2024. KEYNOTES SPEAKERS: * Sabina Leonelli holds the Chair of Philosophy and History of Science and Technology at the Technical University of Munich, where she is also Research Director of the Ethical Data Initiative. * Pekka Mäkelä is an is a Research Coordinator in the Helsinki Institute for Social Sciences and Humanities (HSSH) at the University of Helsinki and the co-leader of the RADAR Group. * Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. * Raul Hakli is a university researcher in practical philosophy and co-leader of the RADAR group. * Eleanor Drage is a Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence. * Hasse Hämäläinen is AI Scientist at Mehiläinen, holding a PhD in Philosophy in Philosophy from the University of Edinburgh. * Veridiana Cordeiro is a sociologist, a Professor at the Department of Sociology at the University of São Paulo, and a research fellow at the Center for Artificial Intelligence (IBM-Sao Paulo Research Foundation). Topics might include (but are not limited to): 1. Algorithmic Fairness and Bia 2. Privacy and Data Protection 3. Transparency and Explainability 4. Accountability and Responsibility 5. Human Rights and Social Justice 6. AI in Healthcare 7. AI in Autonomous Systems 8. Ethical Frameworks and Guidelines 9. AI and Decision-Making 10. Ethics of AI in Public Policy 11. AI and Environmental Ethics 12. Ethical Education and Awareness 13. AI in the Workplace 14. Global Perspectives on AI Ethics 15. Emerging Ethical Issues in AI 16. AI, Aesthetics and Cinema 17. Other topics related. FEES: * Professionals (posdoc, professor, tenure-track): € 160,00 * Students: (Master, PhD): € 110,00 Languages of the colloquium: English and Portuguese. SUBMISSIONS: * IMPORTANT: you should clearly state if you are submitting for the online segment (OS) (19-20 September) or the in-person segment (PS) (23-25 September). If (OS), you need to provide a preferred time schedule considering the Azores Time Zone (UTC - 1 hour). In-person submissions have a higher chance of being accepted (more slots available); * Proposals should include two files: (in word. format): (1) a cover page with identification, academic affiliation, and title (2) an anonymized title and abstract (maximum 250 words) and sent to interconfethicsofai(a)gmail.com * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Information: in order to facilitate the request for funding of the accepted talks so speakers can prepare their travel in advance, notification of acceptance or rejection will be given in a 7-10 days period after the submission is submitted (and reviewed); * Papers presented at the colloquium are expected to be published in several projects (volumes, special issues, etc.) (this is optional - more information after the end of the conference); * Any doubts or concerns can be addressed to: interconfethicsofai(a)gmail.com Venue: University of Azores | Address: Rua da Mãe de Deus, 9500-321 Ponta Delgada, São Miguel, Açores. Organization: Mind, Language and Action Group | Institute of Philosophy | University of Porto Center for Humanistic Studies | University of the Azores Organizing Committee Steven S. Gouveia (Chair) Rui Sampaio da Silva (Local Organizer) Sofia Miguens Jaroslav Malík Romeu Ivolela Liberty Severs Support: CEEC Project by FCT 2022.02527.CEECIND TL Modern & Contemporary Philosophy RG Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UIDB/00502/2020 Fundação para a Ciência e a Tecnologia (FCT) Reitoria da Universidade do Porto + Center for Humanistic Studies University of the Azores

1 0

Ph.D. position in Theoretical and Applied Neuroscience - Deadline 29th July 2024.
by Eleonora Russo July 2, 2024

July 2, 2024

One Ph.D. position is 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 Institute of Sant'Anna School of Advanced Studies, Pisa (Italy) in collaboration with the Kelsch Group<http://www.synapticwiring.com/index.html> at the University Medical Center, Johannes Gutenberg University, Mainz (Germany). Information about the call can be found here<https://www.unicam.it/bandi/2024/bando-n0046958-del-28062024>. The deadline for applying to the position is at 13:00 on 29 July 2024. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2024/06/ANNEX%201_TAN_ciclo…> under ‘Code 4.2’. Project title: Functional modeling of brain dynamics: understanding reinforcement learning through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modelling, dynamical system reconstruction, RNN, statistical mechanics, machine learning, reinforcement learning, dopamine. 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 systems governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been proposed as simplified models of the cortex. Recently, due to remarkable advancements in machine learning, RNNs' ability to capture temporal dependencies has been used to develop tools for approximating unknown dynamical systems by training them on observed time-series data. This approach allows us to use time series of electrophysiological multi-single unit recordings as well as whole brain ultra-high field functional imaging (fMRI) to parametrize neuronal population dynamics and build functional models of cognitive functions. The objective of this research project is to investigate the neuronal mechanisms underlying the reinforcement and depreciation of perceived stimuli in the extended network of the mouse forebrain regions. Research team and environment The PhD student will carry out his/her/their studies primarily at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly international and interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists in Italy and abroad. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. Moreover, the project will be carried out in tight collaboration with the experimental group of Prof. Wolfgang Kelsch, Johannes Gutenberg University, Mainz, Germany. During the PhD, the student will have the opportunity to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has a strong interest in neuroscience and a background in physics/math/biomedical engineering with computational and programming skills (ideally, knowledge of Matlab and/or Python). The ideal candidate carries out his/her/their work in a diligent, independent, and highly collaborative manner. The project will not require any experimental work. Best wishes, Eleonora Russo --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

1 0

12th rTAIM Online Seminar | Francesco Prinzi (Uni. Palermo) | 24 July 2024 - 2pm Lisbon Time Zone | Zoom
by steven gouveia July 2, 2024

July 2, 2024

Dear All, Following the 11th rTAIM Online Seminar (by Walter Sinnott-Armstrong, Duke University) available here: https://www.youtube.com/watch?v=iL8fYl-I0d8, we are happy to announce the final seminar of this academic year, the 12th rTAIM Online Seminar, with the participation of Professor Francesco Prinzi (University of Palermo, IT), 24th July 2024, 14h-15h30 Lisbon Time Zone, via Zoom. Title: From Theory to Practice: Overcoming Challenges in Implementing AI-Based CDSSs in Healthcare Abstract: In recent years, the adoption of computer-assisted tools employing Artificial Intelligence (AI) techniques has increased in several fields. These tools, which harness machine-learning and deep-learning architectures, have been pivotal in Medicine with the development of Clinical Decision Support Systems (CDSSs). CDSSs are designed to assist clinicians in critical healthcare processes, where understanding the decision-making process and ensuring system reliability are paramount. Despite the potential of data-driven AI, its application in medicine remains fraught with challenges, including the creation of high-performing yet non-interpretable CDSSs. Consequently, only a few CDSSs have transitioned from theoretical frameworks to clinical practice. Several factors hinder this transition: insufficient clinician involvement in data preparation, limited datasets, a lack of external validation, etc. The engagement of clinicians in model interpretation is crucial, as relying solely on accuracy metrics raises significant concerns about the models' validity. Regulatory agencies have responded by proposing frameworks and guidelines such as the GDPR and the AI Act to address concerns about applications of machine learning models. This presentation aims to elucidate these critical challenges and provide recommendations for implementing reliable CDSS. In particular, the discussion will focus on achieving explainability in AI models, highlighting the importance of transparent and interpretable results. The concept of Trustworthy AI is central to this integration, emphasizing that explainability, one of the key features in trustworthy AI, is essential for developers to technically validate results, for clinicians to align models with clinical literature, and for patients to understand the decisions. The presentation will cover methods to achieve explainability in both shallow and deep learning architectures, considering tabular and image inputs. Additionally, a new paradigm addressing the accuracy-explainability trade-off will be discussed, offering insights into future developments in this field. Short Bio: Francesco Prinzi received his Ph.D. in biomedicine, neuroscience and advanced diagnostics in 2023, University of Palermo. He is currently Assistant Professor at University of Palermo and affiliated with the Computer Laboratory of the University of Cambridge (UK). His research is focused on the development of diagnostic and predictive models through Machine Learning, Explainable Artificial Intelligence and Medical Imaging Analysis methods. Link: https://videoconf-colibri.zoom.us/j/93235662066?pwd=4JGunJeQskC2DOVbALXGu2P… ID Meeting: 932 3566 2066 Password: 761386 We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). Pending peer review/editorial board acceptance, some of the papers accepted at the 3ICEAI will be selected for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, currently under development with Palgrave Macmillan. We will also have the ETHICS OF AI AWARD 2024 (in-person talks only): the best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Organizer

1 0

Two postdoc positions in decision-making and learning at the University of Zurich, Switzerland
by mailinglists.4svr4＠simplelogin.com July 1, 2024

July 1, 2024

Postdoc in neuroscience of reward learning The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on the neuro-computational basis of human learning and decision making using cutting-edge neuroimaging techniques. For example, the successful candidate will work on a project aimed to determine if reward learning and corresponding striatal responses incorporate causal knowledge during Pavlovian conditioning. Using theoretically grounded and empirically verified reward learning predictions – blocking, conditioned inhibition, and overexpectation – we will test how Pavlovian conditioning operates over stimuli that are known to be either causal generators or correlated predicters of reward outcomes. Knowledge of the causal mechanisms should, in principle, determine how a reward learning agent summates predictions over two or more conditioned stimuli and whether a specific conditioned inhibitor will block a given causal state. We will test these hypotheses using modified versions of the standard conditioned inhibition and overexpectation paradigms together with functional neuroimaging. The results of these studies will provide important new insights into the fundamental nature of reward learning. They will reveal if Pavlovian conditioning mechanisms, which are generally thought to be model-free, incorporate model-based knowledge of cause-and-effect relationships in the environment or if instead they remain agnostic about causality and operate via predictiveness alone. https://jobs.uzh.ch/offene-stellen/postdoc-in-neuroscience-of-reward-learni… Postdoc in physiology of learning and decision making The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on projects testing the dynamic interplay between decision-making and attention, arousal, memory, emotion regulation and executive functions. These studies will make use of eye-tracking, pupil dilation, cardiac and respiratory data in combination with behavioral paradigms, validated questionnaires, and computational modeling. The use of neuroimaging data (EEG, fMRI), pharmacological manipulations, or brain stimulation is also possible. https://jobs.uzh.ch/offene-stellen/postdoc-in-physiology-of-learning-and-de…

1 0

Postodoc Research Fellow Position at Birkbeck/UCL, London, UK
by Fabrizi, Lorenzo July 1, 2024

July 1, 2024

Dear all, Please see below for a postdoctoral position at the Centre for Brain and Cognitive Development, Birkbeck University of London with Prof. Emily Jones (with co-I’s Dr Lorenzo Fabrizi at University College London and Dr Judith Meek at University College London Hospital). Postdoctoral Researcher at Centre for Brain and Cognitive Development (1864) - Birkbeck, University of London<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> cis7.bbk.ac.uk<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> The project will be examining sensory processing in infants born prematurely and later trajectories of neurodevelopment, using a variety of neurocognitive methods. Infants were recruited as neonates and the postholder will be leading and conducting the follow up visits (when the infant is 18 months). The post would suit someone who is interested in infant development, neurodevelopmental conditions and has experience with infant/toddler EEG and eye tracking. Closing date: 24th July, online interviews: 26th July Lorenzo Fabrizi, PhD Associate Professor Medical Research Foundation Fellow Neuroscience, Physiology and Pharmacology Department Room G17A, Medawar Building Bloomsbury Campus University College London Gower St, London WC1E 6BT office tel. 02031081888 (int. 51888)

1 0

Open PhD position at the University of Bern
by jeanpascal.pfister＠unibe.ch July 1, 2024

July 1, 2024

The Theoretical Neuroscience Group of the University of Bern is seeking applications for a PhD position, funded by a Swiss National Science Foundation grant titled “Why Spikes?”. This project aims at answering a nearly century-old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels by developing and analyzing appropriate mathematical models. The PhD student will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The project will involve close collaborations within a highly motivated team as well as regular exchange of ideas with the other theory groups at the institute. The PhD candidates should hold a Master degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory, information theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>) The position is offered for a period of three years and can be extended. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) The application deadline is August 8, 2024, or until the position is filled. ---------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland https://physio.unibe.ch/~pfister/group/ Tel: ++ 41 31 631 87 78

1 0

Postdoc in physics-based machine learning jointly with the MedTech industry
by Erik Fransén June 30, 2024

June 30, 2024

Postdoc in physics-based machine learning jointly with the MedTech industry Are you looking for a postdoc combining academic research in machine learning with close collaboration with the industry? Do you want to join our research group at KTH developing fundamental machine learning times series algorithms and the team at Getinge producing the next generation ventilators for the intensive care? Are you passionate about physical simulation and proficient in parameter estimation? If so, we believe you will find our project developing a digital twin of the respiratory system a perfect match. Find the ad and apply: https://kth.varbi.com/en/what:job/jobID:739922/ Best regards, Erik Fransén and Elira Maksuti

1 0

Online Vocational Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR June 28, 2024

June 28, 2024

Dear all, Apologies for the cross posts. Please spread the word to interested colleagues. Greetings Hope you are doing well. We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: 1. Students will learning advanced data analysis and work on 25 projects 2. After completion they can get a internship completion certificate 3. They can add in their resume and increase chances of getting a job 4. Only a one time fee of Rs. 99 (USD 2/EURO 2) is taken from them *Description:* This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python. *Key Highlights:* 1. Learn to write efficient Python code 2. Master data structures and algorithms in Python 3. Build real-world applications with Python *What you will learn:* 1. Write Efficient Python Code 2. Learn best practices for writing clean, readable, and efficient Python code 3. Data Structures and Algorithms 4. Master essential data structures and algorithms in Python for effective problem solving 5. Build Real-world Applications 6. Apply your Python skills to build practical applications and projects Regards *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

1 0

Early bird registration CLOSING TOMORROW
by INCF June 27, 2024

June 27, 2024

Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin! Early bird registration <https://neuroinformatics.incf.org/register> closes tomorrow - register before end-of-day on Fri Jun 28 to get the early bird price! The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team

1 0

Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI) - Apply by July 31, 2024!
by Michael Denker June 27, 2024

June 27, 2024

1 0

Deadline approaching - Bernstein Conference 2024
by Alexander Lammers June 27, 2024

June 27, 2024

The deadline for the submission of poster abstracts for the Bernstein Conference 2024 is approaching! Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/<https://bernstein-network.de/bernstein-conference/registration/> ____ 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. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

2024 Brain-Score Benchmarking Competition -- Deadline coming up
by Martin Schrimpf June 27, 2024

June 27, 2024

[Image] The Brain-Score Benchmarking Competition<https://www.brain-score.org/competition/> aims to find behavioral and neural benchmarks on which the predictions of our current top models break down. We are entering the final week of the 2024 competition - please submit your benchmarks to highlight the flaws in current state-of-the-art models of vision (and win prizes)! In 2022, the first Brain-Score Competition led to new and improved models of primate vision that predicted existing benchmarks reasonably well. In this year's Brain-Score Competition 2024, we are closing the loop on testing model predictions by rewarding those benchmarks that show where models are the least aligned to the primate visual ventral stream. The Competition is open to the scientific community and we provide an infrastructure to evaluate a variety of models on new behavioral and neural benchmarks in a standardized and unified manner. In addition, we will incentivize benchmark submissions by providing visibility to participants and a $10,000 prize pool<https://www.brain-score.org/competition/#tracks> to the winning benchmarks. Submissions<https://www.brain-score.org/profile/vision/> are open until June 30, 2024. For regular updates related to the competition, please follow Brain-Score on Twitter<https://twitter.com/brain_score> and join our community<https://www.brain-score.org/community>. Good Luck! Competition Tracks * Behavioral: This track will reward those benchmarks that show-case model short-comings in predicting behavior (human or non-human primate). The winning submissions will be the behavioral benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any behavioral task that the models engage on (labeling, class probabilities, odd-one-out ; see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). 1st prize: $3,000; 2nd prize: $2,000. * Neural: This track will reward those benchmarks that show-case model short-comings in predicting neural activity across the primate visual ventral stream. The winning submissions will be the neural benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any region(s) in the visual ventral stream: V1, V2, V4, IT (see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). Brain recordings can be from human or non-human primates. 1st prize: $3,000; 2nd prize: $2,000.

1 0

PhD position in Computational Neuroscience, TU Berlin, Germany
by Klaus Obermayer June 27, 2024

June 27, 2024

Dear moderator, can you post the job announcement below? Thank you very much! Best regards Klaus Obermayer ----------------------------------------------------------------------------------------------------------- *Neural Information Processing Group @ Technische Universität Berlin* *PhD Position in Computational Neuroscience (salary grade E13 TV-L 100%)* *Modelling Neural Population Dynamics and the Effects of External Stimulation* *Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing Group* *Earliest starting date: *Sept. 1st, 2024 *Period:*5 years *Application Deadline: *July 26, 2024 *Reference number: *IV-307/24** *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of external stimulation; collaboration with theoretical, experimental, and clinical research groups of the CRC 1315 (https://www.sfb1315.de/) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in nonlinear dynamics; a very good command of the English and German languages; the ability to teach in German; very good programming skills. Experience in modelling neural systems and teaching experience are desirable. Please send your application with the usual documents (including CV, transcripts of records, German language certificate for non-native speakers) exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*.

1 0

Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio June 26, 2024

June 26, 2024

Dear All, A fully funded PhD position is available in my research group at Loughborough University on the topic "Lifelong learning and shareable models: How to reduce the energy footprint of AI and contribute to a sustainable decarbonised future". Please find further details at https://www.lboro.ac.uk/study/postgraduate/research-degrees/phd-opportuniti… Application deadline: 19th July 2024 This project will further extend research directions highlighted in our recent paper "A collective AI via lifelong learning and sharing at the edge" Nature Machine Intelligence, March 2024, available at : https://rdcu.be/dB9zt Requirements: Applicant should have, or expect to achieve, a first-class honours (or international equivalent) in computer science or related subjects. Applicants must meet the minimum English language requirements ( International website<http://www.lboro.ac.uk/international/applicants/english/>) Project details: Current AI models are not designed to reuse and share knowledge. When conditions change, e.g., data distributions, locations, or platforms, retraining needs to occur from scratch. In some cases, like for foundation models or for complex robotics tasks, the process requires very large amount of data and energy. Recent advances towards lifelong learning and sharable models promise to create a new efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models to contribute to reduce the energy footprint of AI. An overview of this emerging field can be found in a recent publication from our group on Nature Machine Intelligence https://doi.org/10.1038/s42256-024-00800-2 The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with collaborators from Loughborough Business School. Learn more about Digital Decarbonisation<https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/>. The project is in collaboration with the co-supervision of Dr. Vitor Castro, Dr. Rebecca Higginson and Prof. Tom Jackson. Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

1 0

11th rTAIM Online Seminar | Walter Sinnott-Armstrong (Duke Uni.) | 26 June 2024 - 3pm Lisbon Time Zone | Zoom
by steven gouveia June 26, 2024

June 26, 2024

Dear All, Following the 10th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=ZsRMi76gv9c) we are happy to announce the 11th rTAIM Online Seminar with the participation of Professor Walter Sinnott-Armstrong (Duke University, USA), on the 26th June 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: The Moral AI and How We Get There Abstract: Artificial intelligence (AI) is beginning to be used for many life-changing decisions in medicine. Critics object that using AI in these areas is too likely to lead to harm, unfairness, and other moral wrongs. In response, I will argue that these decisions can be made safer and more ethical by building human moral values into the AI decisionmaker. But how can we do that? I will discuss problems for some proposed ways to build morality into AI from the top down and from the bottom up. Then I will explain our lab’s novel hybrid alternative, which surveys human moral judgments and then corrects for ignorance, confusion, and partiality. Because our approach is based on idealized observer theories in ethics, it minimizes substantive assumptions about what is morally right or wrong, and it can be used in a wide variety of contexts. I will report initial empirical results using our method and discuss potential applications to kidney allocation and dementia. Short bio: Walter Sinnott-Armstrong is Chauncey Stillman Professor of Practical Ethics in the Department of Philosophy and the Kenan Institute for Ethics at Duke University. His most recent book is Moral AI and How We Can Get There, with Jana Schaich Borg and Vincent Conitzer in 2024. Zoom: Link: https://videoconf-colibri.zoom.us/j/98415196784?pwd=a3dHbmF4VzlTaVczWTB6QzV… Meeting ID: 984 1519 6784 Passcode: 765321 More info: https://trustaimedicine.weebly.com/<https://trustaimedicine.weebly.com/rtaim-seminars.html>rtaim<https://trustaimedicine.weebly.com/rtaim-seminars.html>-seminars.html<https://trustaimedicine.weebly.com/rtaim-seminars.html> We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Sincerely, Organizer

1 0

REMINDER: World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits
by David Hansel June 25, 2024

June 25, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or “cryptic” unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals’ temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

1 0

CNS-2024 Workshop on “Neuronal Oscillations: From Mechanisms to Computation”: Information and call for spontaneous presentations by members of the community
by Rotstein, Horacio G June 24, 2024

June 24, 2024

CNS-2024 Workshop on “Neuronal Oscillations: From Mechanisms to Computation” Information and call for spontaneous presentations by members of the community The 2024 Annual Computational Neuroscience Meeting ( https://www.cnsorg.org/cns-2024; CNS-2024) will be in Natal, Brazil, July 20-24. The last two days of the meeting are devoted to workshops organized by members of the community. As in previous years, we are organizing a workshop on “Oscillations: from mechanisms to computations”. The workshop is scheduled for July 24. The primary purpose of this workshop is to bring together modelers, experimentalists, and theorists with the goal of sharing and discussing their current results and ideas on the underlying mechanisms that govern the generation of these rhythms at various levels of organization, and their functional implications. Following the tradition of this workshop - We have reserved slots for members of the community whom we might not have been aware of their interest in actively participating in the workshop, particularly the more junior members of the community - We are calling for spontaneous five minutes long data blitz where interested students and postdocs can briefly present their work and contribute to the discussion - We will allow for ample time for discussion by keeping the talks relatively brief. We would like to conclude by having an open discussion on 1. The role of oscillations for neural computation 2. The opportunity that presents to the community to apply the insights from oscillatory dynamics in the brain to the design of artificial neural networks (ANNs). If time becomes an issue, we will have this discussion after the regular workshop schedule to allow for a larger group of participants. We will do our best to accommodate people who are interested in being part of the workshop and/or contribute to the discussion on the topics i and ii listed above. Please, contact us. Best regards, Horacio -- -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein, PhD (he/they) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

1 0

PhD and post-doc at University College Dublin
by Áine Byrne June 24, 2024

June 24, 2024

Bridging the gap for mathematical models of gap junctions PhD and post-doctoral positions available with Dr Áine Byrne (https://people.ucd.ie/aine.byrne) in the School of Mathematics and Statistics at University College Dublin’s . This project seeks to develop novel mathematical models of gap junction modulation in the brain. Gap junctions promote the synchronous activation of neurons, a signature of epileptic seizures. Using a combination of mathematical models and electrophysiological experiments, we will investigate the interplay between gap junction coupling and neuronal synchronisation. Particular attention will be paid to how gap junction coupling varies in response to changes in the surrounding environment. This newfound understanding will be exploited to understand the emergence of excessive neuronal synchronisation in epilepsy and identify novel treatments. Experiments will be carried out at Trinity College Dublin under the guidance of collaborator Prof Mark Cunningham (https://www.cunninghamlab.org/) who will provide training and the use of his facilities. PhD student A 4-year fully funded position is available from September 1st, 2024. Funding includes a stipend of €22,000 per year and a travel allowance of €1,500 per year (years 2-4). Candidates should have a strong mathematical background, programming skills (Python, LaTeX, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects. A MSc in mathematics, physics, computer science or a related field is desirable, but candidates with an excellent undergraduate degree (first class honours) may also apply. Applications, including a personal statement, CV, and contact details for two referees should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). The deadline for applications is July 15, 2024, however, later applications may also be considered. Post-doctoral positions We are currently accepting expressions of interest for a 3-year position (start date: January 1st, 2025). Candidates should have a PhD in applied mathematics, physics, computer science, neuroscience, cognitive science or a related field. Mathematical or computational modelling experience is required, while experimental experience is desirable (but not essential). Candidates should also have strong programming skills (Python, LaTeX, XPPAUTO, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects Expressions of interest, including a short description of your previous experience and motivation for working on this project, should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). A formal application procedure will follow in the coming months.

1 0

Reminder: Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024
by Pavlovic, Maria June 24, 2024

June 24, 2024

Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- <https://summerschool.lizhaoping.org/symposium-2024/> Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite <https://summerschool.lizhaoping.org/> summer school and symposium in 2023. We invite contribution and free registration for this symposium. -------------------------------- The presentations at the symposium will include two keynote speeches (30 minutes each): Keynote Speech 1: "Feedback processing in human visual cortex" by Sheng He <https://www.neuroscience.umn.edu/faculty/current-faculty/g-h/sheng-he-phd> , University of Minnesota and Chinese Academy of Science, Institute of Biophysics Keynote Speech 2: "Processing partially occluded objects in the primate brain" by Anitha Pasupathy <https://sites.uw.edu/biostr/people/faculty/anitha-pasupathy/> , University of Washington, Department of Biological Structure and contributed speeches (15 minutes each). The topics of the presentations will be any topic of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: <https://summerschool.lizhaoping.org/wp-content/uploads/2024/06/Form-to-regi ster-or-submit-a-contribution-to-the-SVS-symposium-2024.docx> https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

1 0

World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits
by David Hansel June 24, 2024

June 24, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or “cryptic” unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals’ temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

1 0

Call for Papers - International Conference on Gender and Technology 2025
by Shyam Diwakar June 22, 2024

June 22, 2024

Dear All, We are very happy to announce that the "International Conference on Gender and Technology 2025<https://www.amrita.edu/events/gender-technology-conference-2025>" will be held at Amrita University in Kerala, India, from January 16 to 19, 2025, and invite all to submit research papers for the conference. This flagship event is organized by Amrita University, in collaboration with UNESCO. IEEE Society on Social Implications of Technology (SSIT) and IEEE Kerala Section are technical co-sponsors for the conference. Submit your paper here<https://bit.ly/ICGT25> Conference website<https://www.amrita.edu/events/gender-technology-conference-2025> Through peer-reviewed paper publications and presentations, keynote sessions, panel discussions, and a GenAI x Gender Tech hackathon, the conference aims to be a catalyst for change. We will inform, encourage, and celebrate technology designed with inclusion in mind, with a particular focus on women's empowerment. We will explore how women can lead the charge in creating technology that not only transforms their lives but also creates positive outcomes for all. We will bring together diverse stakeholders, including UN agencies, Government representatives, academicians, experts, policymakers, civil society, industry, gender financing institutions, senior and early researchers, and students, to facilitate an intergenerational and interdisciplinary dialogue. Conference activities will also include a poster session, a concluding awards ceremony for best conference papers, posters, and hackathon teams, a gala dinner and cultural performances. ***************************** TOPICS ***************************** The conference will focus on (but is not limited to) the below core thematic areas, through the lens of gender and emerging technologies such as AI, blockchain, AR/VR, Robotics, Neuroscience, etc. For more details on each theme below, please visit our conference website<https://www.amrita.edu/events/gender-technology-conference-2025>. 1. Gender, Society, and Representation in Emerging Technologies 2. Climate Change, Environment, and Gender 3. Gender, Livelihood, and the Future of Work 4. Women’s Health and Sanitation in the Digital Age 5. Safety and Security: Gendered Perspectives on New Technologies 6. Gender, Education, and Cultural Shifts through Technology 7. Socio-cultural Change, Access to Technology, and Gender Equity Politics 8. Building Inclusive Resilience to Disaster and Climate Change 9. Inclusive Technology Design for Social Good 10. Ethics, Data Science, and Social Problem Solving 11. Emerging Technologies: Opportunities and Vulnerabilities 12. Gender and Finance: Technological Innovations for Financial Inclusion ***************************** IMPORTANT DATES: ***************************** Paper Submission Deadline: August 30, 2024 Notification of Acceptance: October 15, 2024 Final Camera-ready Paper: November 15, 2024 Registration Deadline: December 15, 2024 ***************************** SUBMISSION GUIDELINES ***************************** Full Papers for Publication and Presentation (up to 6 pages in length, including the full reference section): Mature results, tested innovations, or completed projects. Poster Presentation (1–2 page summary/abstract): Discussion of fieldwork in progress (with insufficient results for a full paper) that addresses intention, unexpected challenges, unintended outcomes, successes, and failures. All papers must adhere to the IEEE Standard two-column conference format on A4 size paper in English. Use IEEE conference templates in Word or LaTeX to prepare your manuscript. The use of artificial intelligence (AI)–)-generated text in an article shall be disclosed in the acknowledgments section of any paper submitted. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. Any act of plagiarism will result in immediate rejection of the paper. Papers for publication must be submitted in full paper electronically via EDAS Submission System. Accepted papers presented by an original author or co-author will be published in the Conference Proceedings, and submitted for inclusion in IEEE Xplore and scopus indexing, subject to meeting IEEE Xplore’s scope and quality requirements. Posters will be published as an addendum to the conference proceedings and will not be submitted to IEEE Xplore or for scopus indexing. Join us at the 2025 International Conference on Gender and Technology to contribute to a dynamic exchange of ideas and insights shaping the future of technology through a gender lens. We look forward to your submissions and to welcoming you to Kerala, India, for the event. For inquiries, please contact: gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Submission can be sent at https://bit.ly/ICGT25 ***************************** CONTACT ***************************** E-mail (for general inquiries): gendertechconference(a)am.amrita.edu<mailto:gendertechconference@am.amrita.edu> E-mail (for paper submission inquiries): gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Website: https://www.amrita.edu/events/gender-technology-conference-2025 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803501 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://ci3.googleusercontent.com/mail-sig/AIorK4y0J3snkg8ODMTKoZbKJ51foHfW…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer<https://intranet.cb.amrita.edu/sig/Disclaimer.htm>

1 0

Mathematics of Neuroscience and AI Conference talks uploaded to YouTube
by Battleday, Ruairidh June 21, 2024

June 21, 2024

Dear all, The talks are now uploaded from our Convention on the Mathematics of Neuroscience and AI last month in Rome (www.neuromonster.org) Twitter link: https://x.com/RMBattleday/status/1802616511879696649 YouTube: https://youtube.com/playlist?list=PLA59nMLAkDyiyYoISlQDDnMY4pxKmTsBC&si=OyY… LinkedIn: https://www.linkedin.com/posts/ruairidh-battleday-648a2b65_talks-now-upload… Thanks to everyone that came and contributed, and made it such a blast! All the best, Ruairidh -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

1 0

Become a member of the International Society for Tractography (IST)
by Maxime Descoteaux June 21, 2024

June 21, 2024

** *We are thrilled to officially announce the launch of the International Society for Tractography (IST) <http://www.tractography.io>. Our goal is to facilitate fundamental advances in the field of tractography that are only possible via an interactive community dedicated to sharing a broad range of talent and knowledge. This includes planning engaging events such as webinars, educational workshops, and conferences, as well as promoting large-scale collaborations across institutions and international borders. * * It’s now time to sign up and become a member <http://www.tractography.io/become_a_member/>. The first year (July 1st 2024 - June 30th 2025), membership will be free! Exciting things to watch out for: * Our new website [www.tractography.io <http://www.tractography.io>] * IST is on X <https://x.com/tractography>[@tractography] and LinkedIn <https://www.linkedin.com/company/international-society-for-tractography/> * TheTract-Anat Club <http://www.tractography.io/tractanat_club/>with recordings posted on our YouTube channel <https://www.youtube.com/@SocietyTractography>. * A dedicated collection "Neuroanatomy and Tractography" in Brain and Structure Function <https://link.springer.com/collections/jfccijhacc> * And more to come (2025 conference in Bordeaux, France) Looking forward to interacting! On behalf of the board of directors and scientific committee Maxime Descoteaux, Flavio Dell’Acqua, Kathleen Rockland, Catherine Lebel, Derek Jones, Lauren O’Donnell, Ariel Rokem, Pratik Mukherjee, Shawna Farquharson, Alexander Leemans, Graham Little, and Laurent Petit *

1 0

Call for Papers: Machine Learning Algorithms for Brain Imaging
by Shailesh Appukuttan June 20, 2024

June 20, 2024

Dear colleagues, We invite researchers, neuroscientists, and machine learning experts to contribute to our Research Topic "*Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment*". Accepted articles will be published in the journal Frontiers in Neuroinformatics. https://www.frontiersin.org/research-topics/62418/machine-learning-algorith… *Submissions now open! * Manuscript Submission Deadline: 15 September 2024 Feel free to contact me for further info. This Frontiers Research Topic focuses on, but not limited to, the following themes: - Development and validation of novel machine learning algorithms for brain image analysis. - Deep learning techniques for brain image segmentation, classification, and feature extraction. - Predictive modeling and prognostication using machine learning to guide neurotherapeutic decisions. - Transfer learning and domain adaptation approaches in neuroimaging analysis. - Explainable AI and interpretable machine learning methods for transparent and trustworthy brain image interpretation. - Integration of multimodal imaging data (e.g., MRI, fMRI, PET) through innovative machine learning strategies. - Evaluation and benchmarking of machine learning algorithms in neuroimaging. - Current challenges, future directions, and ethical considerations in the application of machine learning algorithms in brain imaging. We welcome original research articles, comprehensive reviews, and perspectives that contribute to the field of machine-learning algorithms for brain imaging. Manuscripts should present novel methodologies, rigorous validation, and practical applications. Cheers, Shailesh Appukuttan Shailesh APPUKUTTAN *RECHERCHE > INT* Aix-Marseille Université - Campus Timone, INT NEUROSCIENCES,27 Boulevard Jean Moulin, Marseille, 13005 Site : https://shailesh-appukuttan.com/ - Email : shailesh.APPUKUTTAN(a)univ-amu.fr *Afin de respecter l'environnement, merci de n'imprimer cet email que si nécessaire.*

1 0

Submit Your Research for COMPLEX NETWORKS 2024 in Istanbul!
by Hocine Cherifi June 20, 2024

June 20, 2024

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages · *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Computational & Mathematical organization <https://link.springer.com/journal/10588> edited by Springer Nature <https://www.springernature.com/gp> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific <https://www.worldscientific.com/> o Complex Systems Journal <https://www.complex-systems.com/> *Invitation Notification: December 18,2024* *Submission Deadline: February 28,2025* *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to **https://complexnetworks.org/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 Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info(a)complexnetworks.org Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

1 0

Postdoc position available
by Goodhill, Geoffrey June 17, 2024

June 17, 2024

POSTDOC POSITION IN DECODING AUTISM SPECTRUM DISORDERS FROM MOVEMENT A postdoc position is available in the lab of Geoff Goodhill at Washington University in St Louis for an NIH-funded project to help improve early diagnosis of ASD by using cutting-edge tools from machine learning and computational ethology. PROJECT. Motor differences are one of the earliest markers of increased ASD likelihood in infancy. Our goal is to develop broadly-applicable diagnostic tools which combine automated extraction of kinematic features from video data with new machine learning techniques to capture ASD motor function variability. As a first step, we are applying cutting-edge developments in computer vision, machine learning and computational ethology to a rich, longitudinal video dataset of infants being screened for ASD. APPLICANT PROFILE. The ideal applicant would have a strong background in all of ASD, human movement, machine learning and computational ethology. However given the rarity of this combination we are happy to consider candidates with only some of this background, but a strong desire to learn about the other elements. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. UNIVERSITY ENVIRONMENT. 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 neuroscience. The Goodhill lab has recently moved 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 CV and detailed cover letter explaining why you are interested in this position 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

1 0

[Courses] Cours en ligne en anglais : Test d'hypothèse à deux échantillons (Online Training and Internship: Two Sample Hypothesis Testing)
by PRANAV NERURKAR June 17, 2024

June 17, 2024

(Apologies for cross posting) Salutations de l'Institut Utkarsh Minds. Nous sommes heureux d'annoncer que l'Institut Utkarsh Minds organise un programme de stage de deux mois sur Python pour le test d'hypothèses statistiques. 🎯 Dates : du 1er juillet au 31 août 2024 🎯 Intervenants : Experts du monde académique et de l'industrie 🎯 Les participants intéressés sont invités à s'inscrire. Lien d'inscription : https://internships.utkarshminds.com/ 🎯 Frais d'inscription : seulement Rs. 99/- (EUR 2 / USD 2) 🎯 Date limite d'inscription : 25 juin 2024 🎯 Comité d'organisation : Pranav Nerurkar pranav.nerurkar(a)utkarshminds.com +91 9619997797 Nous attendons avec impatience votre participation active. Cordialement, Institut Utkarsh Minds Stage en ligne : Test d'hypothèse à deux échantillonsDescription : Rejoignez notre programme de stage en ligne complet axé sur le test d'hypothèse à deux échantillons, conçu pour les étudiants désireux de se plonger dans le monde de l'analyse statistique et de la programmation. Ce stage offre un mélange unique d'apprentissage théorique et d'application pratique, fournissant aux participants une compréhension solide du test d'hypothèse à l'aide de données réelles. Principales caractéristiques : 1. *Cours vidéo interactifs* : - Apprenez les fondamentaux du test d'hypothèse à deux échantillons grâce à des cours vidéo captivants et informatifs. - Comprenez les concepts clés tels que les hypothèses nulle et alternative, les tests t, les tests z, les valeurs p et les intervalles de confiance. 2. *Travaux pratiques de codage* : - Appliquez les connaissances théoriques acquises lors des cours en réalisant des travaux pratiques de codage dans des langages tels que Python ou R. - Travaillez sur des jeux de données réels pour vous exercer à formuler des hypothèses, à effectuer des tests statistiques et à interpréter les résultats. - Bénéficiez de conseils pas à pas pour écrire et déboguer le code afin d'assurer une analyse précise et efficace. 3. *Applications pratiques* : - Explorez diverses études de cas et exemples illustrant l'application du test d'hypothèse à deux échantillons dans différents domaines tels que la santé, la finance, le marketing, et plus encore. - Participez à des projets imitant des scénarios réels où le test d'hypothèse est crucial pour la prise de décision. 4. *Mentorat et soutien* : - Recevez un mentorat de la part de statisticiens et de data scientists expérimentés. - Participez à des sessions de questions-réponses et à des forums de discussion pour clarifier vos doutes et enrichir votre expérience d'apprentissage. 5. *Certification* : - Obtenez un certificat à l'issue de ce stage, attestant de vos compétences et connaissances en test d'hypothèse à deux échantillons. - Ajoutez cette précieuse compétence à votre CV ou à votre profil LinkedIn pour renforcer vos perspectives de carrière. Exigences : - Compréhension de base des statistiques et de la programmation. - Un ordinateur avec accès à internet. - Volonté d'apprendre et d'appliquer de nouveaux concepts. Durée : - Le stage est auto-rythmé et peut être complété en 4 à 6 semaines, en fonction de votre emploi du temps et de votre rythme d'apprentissage. Greetings from Utkarsh Minds Institute! We are excited about the opportunity to help you enhance your skills in this critical area and want to ensure you don't miss out on this valuable experience. 🎯 *Program Dates:* 1st July to 31st August 2024 🎯 *Resource Persons:* Experts from Academia and Industry 🎯 *Registration Fees:* Rs. 99/- only To complete your enrollment, please visit the following link and finalize your registration: https://internships.utkarshminds.com/ *Why Should You Enroll?* - *Comprehensive Curriculum:* Learn practical and theoretical aspects of Python for statistical hypothesis testing. - *Expert Guidance:* Get trained by professionals with extensive experience in the field. - *Affordable Fees:* Gain valuable skills for just Rs. 99. - *Career Advancement:* Enhance your resume and improve your job prospects. The last date for registration is 25th June 2024. Don't miss this chance to advance your skills and career prospects. If you have any questions or need assistance with the registration process, please feel free to reach out to us. *Contact Details:* Pranav Nerurkar Email: pranav.nerurkar(a)utkarshminds.com Phone: +919619997797 Online Internship: Two Sample Hypothesis TestingDescription: Join our comprehensive online internship program focusing on Two Sample Hypothesis Testing, designed for students eager to delve into the world of statistical analysis and coding. This internship offers a unique blend of theoretical learning and practical application, providing participants with a robust understanding of hypothesis testing using real-world data. Key Features: 1. *Interactive Video Lectures*: - Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures. - Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals. 2. *Hands-On Coding Assignments*: - Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R. - Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results. - Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis. 3. *Practical Applications*: - Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more. - Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making. 4. *Mentorship and Support*: - Receive mentorship from experienced statisticians and data scientists. - Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience. 5. *Certification*: - Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing. - Add this valuable credential to your resume or LinkedIn profile to boost your career prospects. Requirements: - Basic understanding of statistics and programming. - A computer with internet access. - Willingness to learn and apply new concepts. Duration: - The internship is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning. *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

1 0

Job posts at the Cognitive Science Center at Jagiellonian University
by Marcin June 17, 2024

June 17, 2024

*Postdoc and PhD Student positions to study neural mechanisms of cognition in naturalistic situations* *Jagiellonian University, Kraków, Poland* *Job Description:* The Jagiellonian University in Kraków, Poland, is excited to announce several upcoming job openings at different levels (postdocs and PhD) to work on the psychophysics and electrophysiology of cognition. These positions are funded by the National Science Center, Poland. We are seeking highly motivated candidates eager to investigate cognition using eye tracking, virtual reality (VR), electrophysiology, psychophysics, and advanced signal processing tools. Interested applicants should contact Marcin Leszczyński to discuss possibilities. *Lab Description:* Successful candidates will join a dynamic research group at the Cognitive Science Center at Jagiellonian University, located in the beautiful city of Kraków. Our lab employs a variety of technologies, including electrophysiology, eye-tracking, VR, and psychophysics, combined with advanced signal processing and machine learning, to study cognition in health and disease. We offer a vibrant international research environment, with English as the working language (no need to speak Polish). We encourage interested candidates to get in touch to discuss the opportunities available. The department provides excellent infrastructure, including supporting staff and state-of-the-art equipment for conducting experiments (e.g., behavioral laboratories, EEG, fMRI, TMS, eye-tracking, and VR setups). Additionally, motivated candidates will have the chance to participate in numerous collaborative projects with partners at Columbia University in New York City, Nathan Kline Institute, and University Hospital in Bonn. *Requirements:* *Postdoc Applicants:* - Must hold, or expect to hold, a doctorate in Psychology, Neuroscience, Computer Science, or related disciplines. - Ideal candidates will have experience designing, performing, analyzing, and disseminating psychophysics studies or experimental studies using eye tracking, VR, EEG, MEG, or LFPs. - Motivated candidates with other relevant experience are also encouraged to apply. - Salary for this position is approximately 9600 PLN per month. *PhD Applicants:* - Should have previous programming experience and a research interest in neuroscience, perception, attention, memory, eye movements, sensory-motor, or multi-sensory interactions. - Previous experience in analyzing psychophysiological signals is an asset. - Ability to work independently and proficiency in English are essential (no need to speak Polish). For further inquiries about the positions, please contact Marcin Leszczyński at marcin.leszczynski(a)uj.edu.pl. *Application Process:* Interested candidates should send the following: - A cover letter describing research interests and motivation to join our lab (max. 2 pages). - Curriculum vitae. - Contact information for two references. Applications will be reviewed on a rolling basis until the positions are filled.

1 0

PsychoPy Course for Cognitive and Social Neuroscience
by elham afshari June 17, 2024

June 17, 2024

Dear Members, I am happy to announce the launch of a course, designed specifically for cognitive science beginners. If you're new to psychology or neuroscience and want to run experiments with PsychoPy, this course might be useful. Enroll the course here: Mastering PsychoPy for Psychology and Neuroscience <https://www.udemy.com/course/mastering-psychopy-for-psychology-and-neurosci…> This course provids a clear understanding of experimental design using PsychoPy, even for beginners,and has a hands-on approach to experiment building. I thought you might be interested in checking it out, especially if you're looking to enhance your skills in experimental design and implementation. Bests,

1 0

World wide VVTNS series: Wednesday, June 19 at 11am (EDT), Yasaman Bahri , Google DeepMind | Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality
by David Hansel June 16, 2024

June 16, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Yasaman Bahri Google DeepMind on the topic of Learning and prediction in artificial deep neural networks: scaling, data manifolds, and universality The lecture will be held on zoom on *Wednesday* *June 19, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Developing scientifically-grounded theories for representation learning and generalization in artificial deep neural networks remains a grand challenge of fundamental interest to theoretical neuroscience and machine learning. I will discuss our work on one facet of this challenge — namely understanding generalization or “scaling laws” in learned neural networks as a function of basic control variables. I’ll discuss a taxonomy we develop that classifies different regimes of scaling behavior. We identify regimes where generalization exhibits universal scaling behavior and others where it can be traced back to properties of the data and neural architecture. The theoretical analysis is enabled by leveraging exactly solvable models of deep neural networks that arise naturally in the limit of large hidden layers. Along the way, I’ll also discuss our work on these theoretical models, which have been a useful starting point for theoretical descriptions of neural network dynamics. Finally, I’ll discuss our findings connecting generalization in neural networks to properties of the learned data manifold. I’ll close by discussing future directions and new hypotheses that emerge from our findings *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ

1 0

2024 SPARC FAIR Codeathon: apply now and choose a project
by Elisabetta Iavarone June 14, 2024

June 14, 2024

Dear all, The Common Fund SPARC program, with funding from the National Institutes of Health (NIH), has a three-day in-the-cloud Codeathon that may be of interest for the comp-neuro community. The fourth annual virtual SPARC Codeathon will take place *online **August 10-12*. 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://sparc.science/news-and-events/events/2024-sparc-fair-codeathon Elisabetta Iavarone, On behalf of the SPARC FAIR Codeathon team

1 0

Open position at Goettingen University - PhD student (f/m/d) - SPP 2205
by von Behren, Christina June 14, 2024

June 14, 2024

The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität of Göttingen invites applications for a position as PhD student (f/m/d)<https://www.uni-goettingen.de/de/644546.html?details=2851/> This position is available starting from November 1st, 2024. It is a part time position with a limited contract of 3 years. Salary and working hours will be according to the German grade 13 TV-L (65%, currently 25,87 hours per week). The position will be associated with the group of Prof. Dr. Michael Wibral, Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html/>. We are recruiting a PhD student for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP2205 "Evolutionary optimization of neuronal processing<https://www.uni-goettingen.de/de/618311.html>. The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species (in particular mammals and birds). Specifically, we will use the analysis of information theoretic timescales [1], the correlation of information storage and transfer [2] and the analysis of unique, redundant and synergistic information [3,4] in order to take a comparative approach to neural computation in the primate and the avian brain. The project will be pursued in close collaboration with the research groups of Viola Priesemann at the Max Planck Institute for Dynamics and Self-Organization in Göttingen and Onur Güntürkün, Jonas Rose and Roland Pusch at the Ruhr University of Bochum. We are looking for candidates with an excellent Master degree in physics, neuroscience, cognitive science, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop novel information theoretic models and measures of neural computation and apply them to electrophysiological recordings to analyze predictive hierarchical information processing in the primate and the avian brain. The ideal candidate should possess exceptional analytical skills, coupled with a proficiency in coding in a language that is pertinent to data analysis. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, in particular partial information decomposition. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three Max Planck Institutes in the Life Sciences, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The university is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled persons. In the case of equal qualifications, preference is given to applications from people with severe disabilities. A disability or equality is to be included in the application in order to protect the interests. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to Wibral_lab(a)uni-goettingen.de by August 1st, 2024. If you have any questions, please contact Prof. Dr. Michael Wibral via E-Mail: michael.wibral(a)uni-goettingen.de Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo [1] Rudelt et al. (2021) Embedding optimization reveals long-lasting history dependence in neural spiking activity. PLoS Comp Biol 17(6):e1008927 [2] Wollstadt et al. (2023) Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies. PLOS Comp Biol 19 (11) e1011567 [3] Gutknecht et al. (2021) Bits and pieces: Understanding information decomposition from part-whole relationships and formal logic. Proc. Royal Soc. A 477 (2251), 20210110 [4] Ehrlich et al. (2023) A measure of the complexity of neural representations based on partial information decomposition, Transactions on Machine Learning Research 5 ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany

1 0

11th rTAIM Online Seminar | Walter Sinnott-Armstrong (Duke Uni.) | 26 June 2024 - 3pm Lisbon Time Zone | Zoom
by steven gouveia June 13, 2024

June 13, 2024

Dear All, Following the 10th rTAIM Online Seminar (available here: https://www.youtube.com/watch?v=ZsRMi76gv9c) we are happy to announce the 11th rTAIM Online Seminar with the participation of Professor Walter Sinnott-Armstrong (Duke University, USA), on the 26th June 2024, 15h-16h30 Lisbon Time Zone, via Zoom. Title: The Moral AI and How We Get There Abstract: Artificial intelligence (AI) is beginning to be used for many life-changing decisions in medicine. Critics object that using AI in these areas is too likely to lead to harm, unfairness, and other moral wrongs. In response, I will argue that these decisions can be made safer and more ethical by building human moral values into the AI decisionmaker. But how can we do that? I will discuss problems for some proposed ways to build morality into AI from the top down and from the bottom up. Then I will explain our lab’s novel hybrid alternative, which surveys human moral judgments and then corrects for ignorance, confusion, and partiality. Because our approach is based on idealized observer theories in ethics, it minimizes substantive assumptions about what is morally right or wrong, and it can be used in a wide variety of contexts. I will report initial empirical results using our method and discuss potential applications to kidney allocation and dementia. Short bio: Walter Sinnott-Armstrong is Chauncey Stillman Professor of Practical Ethics in the Department of Philosophy and the Kenan Institute for Ethics at Duke University. His most recent book is Moral AI and How We Can Get There, with Jana Schaich Borg and Vincent Conitzer in 2024. Zoom: Link: https://videoconf-colibri.zoom.us/j/98415196784?pwd=a3dHbmF4VzlTaVczWTB6QzV… Meeting ID: 984 1519 6784 Passcode: 765321 More info: https://trustaimedicine.weebly.com/<https://trustaimedicine.weebly.com/rtaim-seminars.html>rtaim<https://trustaimedicine.weebly.com/rtaim-seminars.html>-seminars.html<https://trustaimedicine.weebly.com/rtaim-seminars.html> We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Sincerely, Organizer

1 0

PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available: Universal description of stochastic oscillators
by Benjamin Lindner June 13, 2024

June 13, 2024

*Universal description of stochastic oscillators - higher dimensional examples, extraction of the mapping from data, and networks of oscillators * Within DFG-funded project, I am looking for a PhD candidate to work on the theoretical description of stochastic oscillations.Specifically, we want to apply and generalize a recently developed universal description of stochastic oscillators (Perez-Cervera et al. PNAS, 2023) in three respects: (i) it should be applied to oscillators that have higher dimensions than two going beyond what has been studied before; (ii) the nonlinear transformation at the core of the procedure should be extracted from (simulation or experimental) data; (iii) the theory for coupled stochastic oscillators will be more thoroughly grounded and, moreover, extended to the case of networks of stochastic oscillators (more than two oscillators, the case previously investigated). These explorations and extensions of the framework have potential applications for the theoretical description of many systems outside of thermodynamic equilibrium, in particular in biology and neuroscience. The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the *fall 2024*. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to officebl(a)bccn-berlin.de) stating the reference number *DR/084/24*. The deadline for applications is *July 24, 2024*, however, later applications might also be considered. Kind regards, Benjamin Lindner -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -----------------------------------------------------

1 0

Postdoc AI machine learning New York
by Sivan Kinreich June 12, 2024

June 12, 2024

Please forward this to those who may be interested: Dr. Kinreich's group at SUNY Downstate Medical Center, NY ( https://www.pmbd2.org/) investigates the structural and functional neural networks (fMRI, EEG), genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and seek a skilled, motivated, and enthusiastic individual with a Master's degree / postdoctoral fellow to join the lab. The position: Education: Candidates must have a Master's degree or a Ph.D. degree (or towards completion) in computational neuroscience, biology, computer science, data science, or a related discipline. Computer and General Skills: Knowledge of experimental statistics and excellent programming skills are required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is a plus. Takes initiative. Strong communications skills and research productivity, as well as the ability to work effectively in a research team. Duties and Responsibilities: • Managing and analyzing big data, including neuroimaging, genetics, and clinical data • Writing machine learning programs in Python and Matlab to identify patterns in data • Writing manuscripts • Presenting findings at national conferences and local seminars/meetings This job is available immediately for 2 years. Job is open until filled. Salary will be commensurate with experience and qualifications according to NIH scales. Candidates should send their CV, representative publications, and contact information of two references to Sivan Kinreich, email: sivan.kinreich(a)downstate.edu Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab (PMBD2) Henri Begleiter Neurodynamics Laboratory SUNY Downstate Medical Center 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com  Reply  Forward Sivan Kinreich, Ph.D. Department of Psychiatry Prediction Modeling and Biomarker Discovery of Brain Disorders lab Henri Begleiter Neurodynamics Laboratory SUNY Downstate Health Sciences University 450 Clarkson Ave. Brooklyn, NY 11203 Tel: 718-270-3322 646-775-8509 Email: sivan.kinreich(a)downstate.edu sivankinreich(a)gmail.com ________________________________ 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.

1 0

Last week of LLM Understanding Summer School.
by Stephen José Hanson June 12, 2024

June 12, 2024

There is incorrect information on the University web site for the LLM understanding, implying that you need a ticket to attend. THIS IS NOT TRUE. the Zoom access is Free; Here's the meeting number; again: ZOOM ACCESS IS FREE<https://uqam.zoom.us/j/85718093402>. MEETING NUMBER IS 85718093402 -- Stephen José Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS

1 0

13 MSCA-funded PhD positions in (computational) neuroscience and mental health at UAB/CRM (Barcelona)
by Alexandre Hyafil June 12, 2024

June 12, 2024

13 PhD positions are offered by MSCA-COFUND TOUCH <https://webs.uab.cat/touch/> (Towards the next generation of excellent young doctoral researchers on mental health by developing an intersectoral & transdisciplinary approach) at the UAB campus (Barcelona), including two projects at the Computational Neuroscience Group at the CRM: - Modelling circular inference, from the general population to psychotic experience <https://webs.uab.cat/touch/jobs/modelling-circular-inference-from-the-gener…> - Computational modeling of working memory decline in normal aging <https://webs.uab.cat/touch/jobs/computational-modeling-of-working-memory-de…> For informal inquiries about these projects, please contact Klaus Wimmer ( kwimmer(a)crm.cat) or Alex Hyafil (alexandre.hyafil(a)gmail.com) The salary is highly competitive and for 3 years. Applications are due on *June 30* (see guidelines <https://webs.uab.cat/touch/call/>). Eligible candidates must have resided in Spain for less than 12 months in the last 3 years.

1 0

Two weeks left to apply for Travel Grants for the Bernstein Conference 2024
by Alexander Lammers June 12, 2024

June 12, 2024

To support the participation of early career scientists at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Details and application: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ 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. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
by Jiaxiang ZHANG June 11, 2024

June 11, 2024

[apologies for cross-posting] *INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)* 4 - 6 September 2024, Swansea, UK https://aiih.cc (*2nd CALL FOR ABSTRACT*) Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single-track conference with oral and poster presentations and will include a conference tutorial on generative DNNs and 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experience in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. CONFERENCE TUTORIAL* Title: Deep Generative Neural Networks https://aiih.cc/tutorial-generative-dnn/ Dr. Amir Atapour-Abarghouei University of Durham *3. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *4. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *5. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ IMPORTANT DATES Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 – Friday 6 September 2024 *6. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen’s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *7. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *8. CONTACT* contact(a)aiih.cc <contact(a)aiih.cc>

1 0

Reminder: FENS Satellite Symposium on Dynamic Auditory Predictions in Human and Non-human Primates
by Robert Baumgartner June 11, 2024

June 11, 2024

[Apologies for cross-postings] Dear Colleagues, a few places have recently become available to attend and present a poster at our Dynamates Symposium on ‘Dynamic Auditory Predictions in Human and Non-human Primate’. It is organised as a satellite event of this year’s FENS Forum and takes place in Vienna, Austria, on Monday, June 24, 2024, so less than two weeks from now. This symposium brings together experts in the field of cognitive neuroscience, cognitive biology and computational modelling to address key questions in predictive auditory processing with a focus on spatial and temporal auditory perception in volatile environments. It will cover purely behavioural approaches as well as combinations with eyetracking, EEG and other neuroimaging modalities. Invited speakers: - Tecumseh Fitch (University of Vienna, Austria) - Florent Meyniel (Neurospin, CEA Paris-Saclay, France) - John van Opstal (Donders Centre for Neuroscience, Netherlands) - Barbara Shinn-Cunningham (Carnegie Mellon Neuroscience Institute, USA) Registration: - Fill out this form <https://leidenuniv.eu.qualtrics.com/jfe/form/SV_22WteXETC6Ay47A> - First come first serve (max. 60 participants) - Registrants encouraged to submit a poster abstract For further details, visit our symposium webpage: https://www.oeaw.ac.at/isf/dynamates-symposium <https://www.oeaw.ac.at/isf/dynamates-symposium-2024> Best wishes from the organizing committee, Robert Baumgartner Burcu Bayram Roman Fleischmann Julia Grabner David Meijer Ulrich Pomper Michelle Spierings — Robert Baumgartner, PhD (he/him) Head of Auditory Cognitive Neuroscience Acoustics Research Institute Austrian Academy of Sciences Dominikanerbastei 16, 1010 Vienna, Austria +43 1 51581-2527 @RobeBaumgartner

1 0

MNE Python EEG/ERP Data Analysis Course
by elham afshari June 10, 2024

June 10, 2024

Dear Members, Several of my students and professors have found this comprehensive EEG/ERP Data Analysis course <https://www.udemy.com/course/eegerp-analysis-with-python-and-mne-an-introdu…> incredibly useful. It’s perfect for beginners, covering everything from EEG history and recording techniques to advanced analyses with practical Python-MNE exercises. The expert teacher uses everything (from drawing to simple codes) to explain details. Link for Enroll: Introductory Course on EEG/ERP using MNE and Python <https://www.udemy.com/course/eegerp-analysis-with-python-and-mne-an-introdu…> Bests,

1 0

Register now for the Bernstein Conference 2024
by Alexander Lammers June 10, 2024

June 10, 2024

The registration for the Bernstein Conference 2024 is open. Registration website: https://bernstein-network.de/bernstein-conference/registration/ ____ 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. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Travel Grant application deadline: Jun 26, 2024 (15:00 CEST) * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

:::Deadline extension::: EITN Fall School in Computational Neuroscience 2024
by DEPANNEMAECKER Damien June 10, 2024

June 10, 2024

The application deadline has been extended to July 7. Due to technical issues, the email address previously announced is not working, please send your application to: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until July 7, 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch

1 0

Apply now for the Computational Neuroscience Imbizo 2025 - app close 24th July
by Spyridon Chavlis June 10, 2024

June 10, 2024

Dear friends and colleagues, Student applications for the next Imbizo are *OPEN*. 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: SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2025) 12 January - 2 February 2025, Noordhoek Beach, Cape Town, South Africa (https://imbizo.africa/) *Application deadline: 24th July 2024 at 20:00 UTC* The Imbizo 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 three-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 modeling of neurons, neural systems, behavior, 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 Honors 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 fields). 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). *Course fees and Scholarships:* Course Fee: €1450 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. *Scholarships on offer:* (a) Full Scholarship includes a waived course fee (€1450) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) Partial Scholarship includes a waived course fee (€1450) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case by case basis. (c) Course Scholarship includes a waived course fee (€1450), but you will be responsible for booking and paying for your own travel costs to Cape Town. *Note:* (a) You must ensure you have a valid passport when applying. (b) Visa application and related costs remain the responsibility of all accepted students. *Important dates:* Applications CLOSE 24th July 2024 at 20:00 UTC References SUBMITTED 31st July 2024 at 20:00 UTC Outcomes NOTIFIED mid-September 2024 Accept BY 1 week after notifications Imbizo STARTS 12 January 2025 Imbizo ENDS 2 February 2025 *Information and application* https://imbizo.africa/ *Questions?* isicn.imbizo.planning [AT] gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ *ORGANIZERS and 2025 Affiliate Organisations:* Arif Hamid (University of Minnesota) Peter Latham (Gatsby Unit for Computational Neuroscience) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (Foundation for Research and Technology-Hellas) *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 DeepMind, Meta, and others. Thanks and regards Simons Computational Neuroscience Imbizo Committee imbizo.africa <https://imbizo.africa/> @CompNeuroImbizo <https://x.com/CompNeuroImbizo> -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr>

1 0

Postdoc and PhD position at University of Miami - spontaneous thoughts, AI, computational psychiatry
by Mingbo Cai June 9, 2024

June 9, 2024

Dear list members, Apologies for cross-posting. *Postdoc and PhD student positions on fMRI study of spontaneous thoughts* The lab led by Mingbo Cai (*https://cailab-miami.org/* <https://cailab-miami.org/>) at the Department of Psychology, University of Miami, seeks a talented cognitive neuroscientist or AI researcher to join as a postdoctoral associate in the beautiful Miami of USA! The primary focus of this position is to work on an exciting collaborative project of decoding spontaneous thoughts. However, candidates with strong background and interest in other major directions of the lab (learning and decision making, computational psychiatry) are also welcome to apply. For the project on spontaneous thoughts, the candidate will work closely with Dr. Mingbo Cai, the director of the lab, and have the opportunity to collaborate with Nicolas Schuck (*https://schucklab.gitlab.io/* <https://schucklab.gitlab.io/>) at University of Hamburg and Quentin Huys ( *https://www.mps-ucl-centre.mpg.de/person/104585* <https://www.mps-ucl-centre.mpg.de/person/104585>) at University College London, with the added possibility of establishing new collaboration with other faculty inside the department ( *https://www.psy.miami.edu/people/faculty/faculty-by-division/index.html* <https://www.psy.miami.edu/people/faculty/faculty-by-division/index.html>). The intended project focuses on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks, their interaction with memory and emotion, and rumination in mental disorders. You will have the opportunity to analyze a rich fMRI dataset of healthy and clinical participants during spontaneous thoughts, and conduct new experiments. Expertise and track record in at least one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational modeling of spontaneous thoughts or psychiatric disorders or human behavior, design of experiments using naturalistic stimuli. Deadline for applications: August 31, 2024. Strong applications will be evaluated immediately upon receiving. The position will remain open until filled. *Interested candidate can submit the following documents at this link:* *https://careers.miami.edu/us/en/job/R100076995/Post-Doctoral-Associate-Psychology* <https://careers.miami.edu/us/en/job/R100076995/Post-Doctoral-Associate-Psyc…> - a cover letter including contact information for 2-3 reference letters - CV - research statement - writing sample representing your works. Multiple manuscripts may be concatenated into one pdf. Informal inquiry can be sent to mingbo [dot] cai [at] miami [dot] edu, with a title of "[postdoc] + *your name*" The lab will also accept a PhD student in Fall 2025. Email inquiry is welcome with a title of "[grad application] + your name" Best wishes, Mingbo Cai Assistant Professor Department of Psychology University of Miami https://cailab-miami.org

1 0

PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available
by Benjamin Lindner June 7, 2024

June 7, 2024

Efficient representations of fast dynamic stimuli in populations of ON- and OFF-cells Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing" and in an experiment-theory collaboration with the Benda/Grewe lab in Tübingen, we are looking for a PhD candidate to work on signal transmission of time-dependent signals in the electrosensory system of weakly electric fish. Specifically, we are interested in the following research questions: 1. How are high-frequency signals efficiently encoded in ON-OFF-pathways despite strongly reduced firing rates? 2. What is the impact of feedback on the representation of high-frequency information in ON- OFF-pathways? In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al. J. Neurosci. 32, 17332 (2012) Sharafi et al. J. Comp. Neurosci. 34 , 285 (2013) Grewe et al. PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting in the fall 2024. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to officebl(a)bccn-berlin.de) The deadline for applications is July 17, 2024, however, later applications might also be considered. Kind regards, Benjamin Lindner -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -----------------------------------------------------

1 0

Last call: abstract submission for the 2024 Neuroinformatics Assembly
by Helena Ledmyr June 7, 2024

June 7, 2024

Join the INCF community at the Neuroinformatics Assembly 2024 in Austin, Texas, Sept 23-27! This year's theme is "Brain meets AI: pioneering the future of neuroinformatics". We have two days of training courses after the main conference, see all the sessions at https://neuroinformatics.incf.org/2024/sessions. See the conference topics and submit your abstract today at bit.ly/INCFabstracts We hope to see you in Austin! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* <https://neuroinformatics.incf.org/> International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org

1 0

ReLab: Rewilding Ethology Laboratory, Konstanz, August 26-30 2024
by Mateusz Kostecki June 7, 2024

June 7, 2024

Hello! We are super happy to announce our next event, organized in collaboration between us, Center for the Advanced Study of Animal Behaviour, University of Konstanz and Max Planck Institute of Animal Behaviour! Are you ready for an expedition into the multifarious world of animal behaviour, where the lab meets the wild? Join us for RELab, *a unique experimental workshop in the scenic location of Lake Constance, Germany.* Unlike well-established scientific frameworks relying on synthetic stimuli, working with real, complex naturalistic stimuli presents unique challenges in tractability, interpretability, and relevance. This workshop will bring together* 16 exceptional early-career scientists and 5 renowned principal investigators in the fields from systems neuroscience to ethology*, to tackle conceptual and practical challenges in analyzing natural behaviours. RELab is not just about conventional lectures; it’s about *prototyping paradigms and hacking them together in both natural and controlled environments*. RELab is designed as a dialogue and a collective journey of discovery. For 5 days, participants will engage in: - Naturalist hikes and field experiments, exploring the natural habitats around Lake Constance (Bodensee). - Laboratory sessions employing advanced technologies such as virtual reality, collaborative activities integrating field and lab perspectives in real-time. - Thought-provoking talks and discussions with leading experts, aiming to build a new understanding of natural behaviours. Come enjoy the beautiful Bodensee region for an adventure of intellectual exploration, collaborative discovery, and vibrant community building. RELab is supported by the Centre for the Advanced Study of Collective Behaviour (CASCB) and Nencki Open Lab and it will be hosted by the Max Planck Institute of Animal behaviour, ensuring a high-quality, inclusive, and stimulating environment. Together, we aim to lay the groundwork for achieving new meaningful insights into behaviour in a complex world where standardized procedures may not exist. *Rewilders* Anna Stöckl (CASCB, Dept. of Biology, Uni Konstanz) Armin Bahl (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Einat Couzin-Fuchs (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Katja Reinhard (International School for Advanced Studies, Trieste) Raghavendra Gadagkar (Indian Institute of Science, Bengaluru) *Where, When, and How* RELab will be held on the Lake of Constance, Germany, 26-30 August 2024 (arrival on August 25, departure on August 31). The fee is EUR 750, and includes accommodation in shared double rooms at the venue and all meals for the duration of the workshop (breakfasts, lunches and dinners); it also includes dinner on the night before the workshop begins. We are securing funds for fee waivers, please specify in the registration form if you need one. PhD students and postdocs from systems neuroscience or animal behavior, as well as related disciplines, are encouraged to apply. We will also consider exceptional applications from pre-PhD students. How to apply: The application form is available here https://docs.google.com/forms/d/e/1FAIpQLSftN3DG-PKhaqN30Jmgia4_3YKQJoL6g_R…. . The deadline for application is 24 June 2024. For inquiries, please contact the organizers. *Organizers:* August Paula (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Cyrill Fromm (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Iacopo Hachen (MSCA Fellow, MPI-AB, Dept. of Biology, CASCB, Uni Konstanz) Kajal Kumari (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Mateusz Kostecki (Nencki Institute) Pavan Kaushik (MPI-AB, CASCB, Dept. of Biology, Uni Konstanz) Ruiheng Wu (MPI-AB, CASCB, Uni Konstanz) Best! NOL Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

2 1

Research software engineer position at Zuckerman Institute (Columbia University)
by Matthew R. Whiteway June 5, 2024

June 5, 2024

Columbia University's Zuckerman Mind Brain Behavior Institute is seeking a research software engineer to work closely with both computational and experimental neuroscience labs within the Zuckerman Institute ( https://zuckermaninstitute.columbia.edu/) and the International Brain Lab ( https://www.internationalbrainlab.com/) to help develop and maintain cutting edge software tools for the analysis of large-scale behavioral video data. Other responsibilities include: • Assist labs with deploying this software in their data processing pipelines • Respond to user issues provided through various channels (Github issues, Discord, Slack) by providing bug fixes • Engage in software dissemination efforts including written documentation, video tutorials, and assisting with workshops • Assist machine learning researchers in incorporating new algorithms into the software Please see the job posting for more information: https://apply.interfolio.com/147471 Matt Whiteway Associate Research Scientist, Zuckerman Institute, Columbia University Data Scientist, International Brain Laboratory

1 0

Lipari School on Computational Neuroscience: Model, Biology and Clinical Application
by Jolivet, Renaud (MACSBIO) June 5, 2024

June 5, 2024

(Sent on behalf of the organisers.) Dear Colleagues, it is with great pleasure that we invite you to attend the "Lipari School on Computational Neuroscience: Model, Biology and Clinical Application," to be held from 25 to 31 August 2024 on the beautiful island of Lipari, Italy. This prestigious event will bring together internationally renowned experts in the fields of neuroscience and biology and will discuss computational neuroscience, bioinformatics and their clinical applications. It will be a unique opportunity to deepen our knowledge, share experiences and discuss the latest research and innovations in these fascinating fields. The school programme will include: - Lectures given by top-notch lecturers. - Interactive workshops and practical sessions. - Roundtables on topical issues and future challenges. - Networking opportunities with professionals and researchers from all over the world. Lipari, with its breathtaking landscape and rich cultural history, will provide an ideal environment to stimulate scientific discussions and create new collaborations. Please visit our website [Lipari School - J.T. Schwartz International School for Scientific ...Lipari Schoolhttps://liparischool.it<https://www.google.it/url?sa=t&source=web&rct=j&opi=89978449&url=https://li…>] for further details on the program, registration and accommodation options. We are certain that the "Lipari School on Computational Neuroscience" will be an enriching and stimulating experience, and we sincerely hope to welcome you to Lipari this August. Please spread the word about this initiative among your students, PhD students and young researchers, so that they can take advantage of this valuable opportunity for training and professional growth. Kind regards, [cid:C2F4D388-6151-4EAD-AF66-A845749B3F61] Dott.ssa Rosa Musotto Institute for Biomedical Research and Innovation (IRIB) National Research Council (CNR) Via Leanza, Mortelle 98164 Messina - Italy rosy.musotto(a)irib.cnr.it<mailto:rosy.musotto@irib.cnr.it> romusotto(a)unime.it<mailto:romusotto@unime.it>

1 0

NEST Conference 2024 — Register by Friday!
by Hans Ekkehard Plesser June 4, 2024

June 4, 2024

Dear Colleagues, We are looking forward to an exciting Virtual NEST Conference 2024 on Monday/Tuesday 17./18. June 2024. This years program includes keynotes by Tadashi Yamazaki, University of Electro-Communications, Japan Diversity and inclusion: Distributed simulation of multiple brain and body models in multiple simulators on multiple computers across multiple organizations Benedetta Gambosi, University of Pavia A multiarea model predicts the changes in thalamocortical beta oscillations caused by dopamine depletion in basal ganglia and cerebellum Tobias Gemmeke, RWTH Aachen Accelerated Simulation of Biological Neural Networks Behnam Ghazinouri, Ruhr-Universität Bochum The attractor dynamics of behavioral flexibility in spatial and reversal learning complemented by contributed talks, posters and a workshop Introducing Arbor. For the full program an to register, please see https://nest-simulator.org/conference. Registration deadline is this FRIDAY, 7 June 2024. We are looking forward to seeing you at the NEST Conference 2024! Hans Ekkehard Plesser -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

1 0

Post-doc position [LAST CALL]: How long-term memories affect decision making and rule selection?
by Pablo Jercog June 4, 2024

June 4, 2024

A postdoc position is available at the Department of Functional and Systems Neurobiology of the Cajal Institute (https://cajal.csic.es/en/home/) part of the Spanish National Research Council (CSIC) in collaboration with the Department of Engineering at the University of Cambridge. The aim of this position is to develop a new framework for the analysis and interpretation of animal behavior and electrophysiological data from a high-throughput memory-based behavioral paradigm ( https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00064/full) developed in the Jercog Lab. Such a framework will involve different theories and modelling approaches such as reinforcement learning, stochastic decision processes, and history-dependent biases over a range of timescales from seconds to months, under the co-supervision of Yashar Ahmadian <https://cbl.eng.cam.ac.uk/ahmadian/>, University of Cambridge. The overarching aim of the project is to understand how long-term memories affect the decision making process in a volatile environment, focusing in particular on the hippocampal contribution to control (e.g. Lengyel & Dayan 2008 <https://proceedings.neurips.cc/paper_files/paper/2007/file/1f4477bad7af3616…>, Stachenfled et al. 2017), and using approaches such as rational control (Wu et al 2020 <https://www.pnas.org/doi/full/10.1073/pnas.1912336117>) to infer the internal beliefs and models used by animals in the task. Our lab is part of a larger network of Spanish neuroscience institutes including the CINC <https://www.cinc.csic.es/research-areas/>, the Neurotech <https://espanadigital.gob.es/lineas-de-actuacion/spain-neurotech> and the IN <https://in.umh-csic.es/en/>. The institute is located in the center of Madrid, one of the most exciting cities in the south of Europe, well connected with the rest of the world. Candidates should have a Ph.D. in computational neuroscience or a related field. Prior experience with the analysis of animal behavior, neuroimaging, machine learning, and/or computational modeling will be valued. Competitive 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 three contacts for recommendation letters to pjercog(a)gmail.com. Informal inquiries are welcome. *DEADLINE:* applications will start to be reviewed on June 17th until the position is filled. *STARTING DATE:* before September 2024. -- Pablo Jercog, Ph.D. Team Leader Instituto Cajal, CSIC Avda. del Doctor Arce, 37 (Room C-11) Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

1 0

Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024
by Pavlovic, Maria June 4, 2024

June 4, 2024

Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- <https://summerschool.lizhaoping.org/symposium-2024/> Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite <https://summerschool.lizhaoping.org/> summer school and symposium in 2023. We invite contribution and free registrations for this symposium. The presentations at the symposium will include two keynote speeches (30 minutes each) and contributed speeches (15 minutes each). The topics of the presentations will be any topic of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: <https://summerschool.lizhaoping.org/wp-content/uploads/2024/06/Form-to-regi ster-or-submit-a-contribution-to-the-SVS-symposium-2024.docx> https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

1 0

Abstracts closing Friday, early bird reg, & more - INCF Neuroinformatics Assembly 2024
by Heather Topple June 4, 2024

June 4, 2024

Hello! We at INCF would appreciate it if you could forward the information below to your relevant networks in neuroscience, AI, computer and data science. Thank you! /Heather INCF Project Assistant *Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin!* The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Abstract submission <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are open - make sure to register before Jun 28 to get the early bird price! *Abstract submission is open until Fri Jun 7 via this link <https://neuroinformatics.incf.org/abstract-submission>.* Note: You need to be signed in to submit an abstract, but you don’t need to be an INCF member to create an account. Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* <https://neuroinformatics.incf.org/> International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

1 0

World wide VVTNS series: Wednesday, June 5 at 11am (EDT), Stephanie Palmer, University of Chicago | Using ML tools in neuroscience to define optimality in complex natural behaviour
by David Hansel June 2, 2024

June 2, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Stephanie Palmer University of Chicago on the topic of *Using ML tools in neuroscience to define optimality * *in complex natural behaviour* The lecture will be held on zoom on *June 5, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inputs are, however, of equal value to the organism. Our work quantifies whether and how the brain selectively encodes stimulus features, specifically predictive features, that are most useful for fast and effective movements. We have shown that efficient predictive computation starts at the earliest stages of the visual system in the retina. We borrow techniques from machine learning, statistical physics, and information theory to assess how we get terrific, predictive vision from these imperfect (lagged and noisy) component parts. In broader terms, we aim to build a more complete theory of efficient encoding in the brain, and along the way have found some intriguing connections between approaches to coarse graining in biology, machine learning, and physics. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ

1 0

Post-doc position available - Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields (https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational “hybrid” brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients (see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr. https://perso.univ-rennes1.fr/fabrice.wendling

1 0

Postdoctoral research position Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr May 31, 2024

May 31, 2024

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational hybrid brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients ( <https://pubmed.ncbi.nlm.nih.gov/38520800/> see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr. <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://www.ltsi.univ-rennes1.fr/> https://www.ltsi.univ-rennes1.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

1 0

Postdoctoral Research Position - University of Las Palmas de Gran Canaria, Spain
by Carmen Paz Suárez Araujo May 30, 2024

May 30, 2024

Postdoctoral Research Position Institute: Institute of Cybernetic, Enterprise and Society (IUCES). University of Las Palmas de Gran Canaria (ULPGC) City: Las Palmas de Gran Canari, Canary Islands, Spain Closing Date: 7 June 2024 Dear Colleagues, The Research Division of Computational Neuroscience (COMCIENCIA) belonging to the IUCES has a PostDoc position in one of our Projects. We are recruiting a team of outstanding researchers from Artificial Neural Networks, Computational Neuroscience, Clinical Decision Support Systems using Intelligent Computing and AI/ML, to work with us on achieving the project’s ambitious objectives. The main tasks will be concerning: - Development and supervision of research in the area of "Artificial and Biological Neural Networks: Design of New Architectures". - Supervision and development of research in the field of Intelligent Computing Systems and their application for Designing and Developing Clinical Decision Support Systems for diagnosis and prognosis of neurocognitive pathologies associated with aging (dementias), infectious diseases (COVID) necessarily adjusted to the project in which he/she is hired. - Scientific dissemination of the research developed. For further information and to apply, please see: https://euraxess.ec.europa.eu/jobs/240289 If you've any question, please you don't hesitate to contact with Prof. Carmen Paz Suárez Araujo Best Regards Carmen Paz Suárez Araujo Catedrática de Universidad/Full Professor. Directora de la División de Investigación de Neurociencia Computacional. Directora de la Catedra de Neurociencia Computacional, Marie Curie Instituto de Cibernética, Empresa y Sociedad (IUCES) Universidad de Las Palmas de Gran Canaria tel. +34928458725; +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

1 0

Postdoc + PhD positions in ERC funded project ACTOR
by Constantin Rothkopf May 30, 2024

May 30, 2024

The lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt is looking for PhD and Postdoc applicants interested in becoming part of the ERC project ACTOR. While some positions are focused on human behavioral experiments others are more focused on computational work. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks including continuous psychophysics, visual behaviors such as gaze selection and blinking, sensorimotor control involving intuitive physics, navigation, and food preparation in the framework of sequential decision making/planning/optimal control/RL. Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in multiple fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. We foster an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect and we maintain close interactions with other research groups including joint lab meetings. While some of the positions are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page cover letter explaining your research interests, motivation, and your long-term career goals, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “167” and for the Postdoc position “168”. Applications will be reviewed on a continuing basis. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt recently reached 7th place worldwide in a ranking of attractiveness by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. Finally, to get a better idea about some of our work, here some publications by our group: - Tatai, F., Straub, D., Rothkopf, C. A. (2023). People use Newtonian physics in intuitive sensorimotor decisions under risk. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt0rg3z8f6/qt0rg3z8f6_noSplash_c1cad85c077… - Kadner, F., Willkomm, H., Ibs, I., & Rothkopf, C. (2023). Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt94t1t8kw/qt94t1t8kw_noSplash_3a5e798a923… - Kessler, F., Frankenstein, J., Rothkopf, C. A. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/

1 0

Postdoctoral Research Fellow - University of Stirling, UK
by Elena Gheorghiu May 30, 2024

May 30, 2024

Postdoctoral Research Fellow Department: Psychology, University of Stirling, Scotland, United Kingdom Closing Date: 10 June 2024 Duration: fixed term 27 months Salary: Grade 7 (£37,099 - £44,263 p.a.) A cross-disciplinary team of researchers from the Universities of Stirling, York, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks. The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy. We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives. As part of this project, Psychology, Faculty of Natural Sciences, University of Stirling is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers. Candidates should have a PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area and possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes. For further information and to apply, please see: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=4051&jobT… Informal enquiries can be made to Dr Elena Gheorghiu, elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> --------------------------------------------------------- Dr Elena Gheorghiu University of Stirling, Faculty of Natural Sciences Department of Psychology, Cottrell building Stirling, FK9 4LA, Scotland, UK Tel: +44 (0) 1786 467649 email: elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> https://www.stir.ac.uk/people/257378 ________________________________ Scotland’s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

1 0

Postdoctoral position on modelling C. elegans for OpenWorm project at University College London
by Padraig Gleeson May 30, 2024

May 30, 2024

- Apologies for cross postings - Applications are open now for a 3 year postdoctoral position (Research Fellow / Senior Research Fellow) at University College London in the lab of Padraig Gleeson (https://openneuroai.org) The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation (https://openworm.org) The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required. The ideal candidate will have a PhD in neuroscience or a related field, and experience in developing open source tools for investigating (neuro)biological function, a publication record demonstrating the use of such tools in original scientific research, and an active interest in making their research accessible to the wider community. For appointment to Grade 8 (Senior Research Fellow), the candidate will have substantial postdoctoral experience, a strong publication track record in this area, evidence of the ability to sustain independent research, and an established reputation in their field as a proponent of open science. UCL is Europe's research powerhouse in neuroscience, with more than twice as many publications and citations as any other European institution, based right in the heart of London. It is one of the best international environments to carry out neuroscience research. Please contact p.gleeson(a)ucl.ac.uk for more details or questions related to the role. The position is funded for 3 years as part of an EPSRC Open Fellowship grant. The closing date for applications is 19th June 2024. Apply here <https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=23333>, including a cover letter stating why you are the ideal candidate for the role. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

1 0

Information theory workshop at CNS*2024 -- call for contributed talks
by Joseph Lizier May 30, 2024

May 30, 2024

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2024itw> will be held once again at the 33rd Annual Computational Neuroscience Meeting (CNS*2024<https://www.cnsorg.org/cns-2024> conference), in Natal, Brazil. The workshop will be held during sessions over the final day of the main conference, July 24, 2024. Our confirmed speakers so far include the following: * Patricio Orio, University of Valparaíso, Chile * Marilyn Gatica, Northeastern University London, UK * ... more TBA! We would like to call for contributions<https://bit.ly/cns2024itw> of talks. If you are interested in contributing a talk, please send a title and abstract to Marilyn Gatica (marilyn.gatica(a)nulondon.ac.uk<mailto:marilyn.gatica@nulondon.ac.uk>) and Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2024 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2024itw for more details. We hope you will join us there! Organising Committee: Marilyn Gatica (chair) Joseph Lizier (co-chair) Abdullah Makkeh Michael Wibral Pedro Mediano

1 0

Open PhD position - Brain-inspired computing and Spiking Neural Networks
by Robert Legenstein May 28, 2024

May 28, 2024

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/igi/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) 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. For details and application portal, see https://jobs.tugraz.at/en/jobs/c979f4bb-8292-a539-ff62-6627a4de2995 -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

1 0

The Basque ASTROTECH Computational Neuroscience Meeting (Bilbao, June 4-6, 2024)
by De Pitta, Maurizio May 28, 2024

May 28, 2024

Dear Colleagues, Please share and disseminate among your networks. We are happy to announce the Basque ASTROTECH Computational Neuroscience Meeting, which will be held June 4–6, 2024, at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain. The Basque ASTROTECH Computational Neuroscience Meeting presents state-of-the-art neural and glial data analysis and modeling research by leading neurotech researchers based in the Basque Country (Spain). The Basque ASTROTECH Computational Neuroscience Meeting is sponsored by the H2020 ASTROTECH European Training Network and is an excellent opportunity for young researchers and professionals in the Basque Country, Spain, and internationally to learn about some of the latest advancements in neuron-glial paradigms of brain function at the interface of computational neuroscience, machine learning, and neurotech. Attendance at the meeting is free, but pre-registration is required due to limited seating. For more information: Meeting Website: https://sites.google.com/view/basque-astrotech-cns-workshop Registration Website: https://www.bcamath.org/events/ba-cnm-astrotech/en/registration/ I look forward to meeting you in Bilbao in June. Maurizio De Pitta /////////////////////////////////////////////////////////////////////////////////////////////// The Basque ASTROTECH Computational Neuroscience Meeting Basque Center for Applied Mathematics (BCAM), Bilbao, Spain June 4–6, 2024. /////////////////////////////////////////////////////////////////////////////////////////////// ***************** Day 1 (June 4, 2024) ***************** MORNING SYMPOSIUM: Applied And Functional ModellingMultiscale functional and structural brain networks in health and disease Jesus Cortes (BioCruces Hospital Clinic) Multiscale functional and structural brain networks in health and disease Craig Richter (BCBL–Basque Center On Cognition, Brain and Language) Discovering functional networks using coupled cortical oscillations Paolo Bonifazi (BioCruces Hospital Clinic) Linking hubs, embryonic neurogenesis, transcriptomic, and diseases in human brain networks Maurizio De Pitta (BCAM–Basque Center for Applied Mathematics and the Krembil Research Institute) Neuron-Glial Circuits Across the Cognitive Spectrum AFTERNOON LAB. Modeling Neuron-Glial Interactions: From Tripartite-Synapses to Neuron-Glial Networks. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 2 (June 5, 2024) ***************** MORNING SYMPOSIUM: The Attractor Framework in Computational Neuroscience. Miguel Aguilera (BCAM) Nonequilibrium associative memories in neuroscience and machine learning Daniele De Martino (Biofizika Institute) Feedback Ising models neural networks dynamics Dmitry Sinelshchikov (Biofizika Institute and CSIC-UPV/EHU) Nonlinear dynamics in small groups of Hindmarsh-Rose neurons Gorka Zamora-Lopez, Pompeu Fabra University (UPF) Emergence of modular and hierarchical neural networks driven by learning of external stimuli AFTERNOON LAB. Glial Functional Readouts: Hodgkin-Huxley models and their extension to Glial Calcium Modeling. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 3 (June 6, 2024) ***************** MORNING SYMPOSIUM. Multi-scale Tools to Model the Brain Romina Baila (CODEMART) The Virtual Brain /1: Architectural view over a modeling tool for full brain simulation The Virtual Brain /2: How to Harness The Virtual Brain Capability Christophe Bernard (INSERM and Aix-Marseille University) Digital twin technology to better understand and treat the brain Ignacio Arganda-Carreras (University of the Basque Country, DIPC, and Biofisika Institute) BiaPy: Bioimage analysis workflow for all audiences AFTERNOON LAB. Physics of the Neuron-Glia-Vascular Tissue. Curator: Michelangelo Volpi (BCAM) ----- 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.

1 1

Fwd: Fully funded PhD position in Computational Neuroscience at TU Graz, Austria
by Kerstin Lenk May 24, 2024

May 24, 2024

Hello, We have a *fully funded PhD position in Computational Neuroscience at TU Graz*, Austria, available. The project is in collaboration with the University of Regensburg, Germany. *Period:* October 1st, 2024 – September 30th, 2027 (3 years) *Supervisor: *Kerstin Lenk, Institute of Neural Engineering, TU Graz, Austria *Keywords: **Astrocytes; Blood-Brain Barrier; Endothelial Cells; Major Depressive Disorder; Computational Modeling* *Team:* The Computational Neuroscience lab led by Dr. Kerstin Lenk in the Institute of Neural Engineering ( https://www.tugraz.at/institute/ine/research/team-lenk) at Graz University of Technology (TU Graz) is looking for a creative and enthusiastic PhD student to join the lab! Our research is focused on the computational neuroscience of astrocytes. Broadly, we study how astrocytes interact with neurons and other glial cells. We are looking for a PhD student who is interested in developing a computational model of the BBB in the following project: *Project Description:* Interactions among astrocytes and endothelial cells (EC) forming blood vessels are essential to building a properly functional blood-brain barrier (BBB). Astrocyte-specific signaling molecules modulate tight junctions (TJ) between EC, thereby controlling BBB sealing properties and, thus, the transendothelial blood-brain trafficking of various substances. Any disruption in these events may lead to the onset of brain disorders. Indeed, an impaired morphology of astrocytes and reduced TJ protein expression characterizes the leaky BBB in postmortem brains of major depressive disorder (MDD) patients. Epidemiological data also revealed sex differences in MDD prevalence, with women twice as affected as men. Intriguingly, the disruption of the BBB in female mice induces depression-like behaviors. Thus, there is a high need to investigate sex-dependent cellular and molecular mechanisms that link a leaky BBB with the etiopathogenesis of MDD to identify alternative disease trajectories, which might be targeted by personalized treatments. The project includes experimental and theoretical work, which is highly interconnected, and we will gain much more insights by combining *in vitro*, *in vivo,* and *in silico* studies. The project is funded by FWF (Austrian Science Fund) under the scheme “Weave” (International Projects) and is in collaboration with Dr. Barbara Di Benedetto at the University of Regensburg, Germany. *Candidate:* The candidate should be willing to work on a multidisciplinary project that combines computational modeling and *in vitro*/ *in vivo* experiments in neurosciences. They should have a good level of English, very good mathematical and programming skills, and an interest in neurobiology. *Application*: Please send your application to *kerstin.lenk(a)tugraz.at <kerstin.lenk(a)tugraz.at>* as a single PDF file, including a CV and the contact details of two academic references, *before July 6th, 2024*. Informal inquiries are welcome. -- Ass. Prof. Dr. rer. nat. Kerstin Lenk (she/her) Institute of Neural Engineering Graz University of Technology Stremayrgasse 16/4 8010 Graz Tel.: +43-316-873-30712https://www.tugraz.at/institute/ine/research/team-lenk/ twitter@astrocytenet

1 0

PhD position in neonatal neuroimaging
by Manuel Blesa Cábez May 24, 2024

May 24, 2024

We have a 3’5 years PhD position at the University of Edinburgh in neonatal neuroimaging! The project will investigate the relationship between the neonatal structural connectome and the immune dysregulation in preterm infants. For full details: Elucidating the relationship between the neonatal cerebral connectome and immune dysregulation in preterm infants at University of Edinburgh on FindAPhD.com <https://www.findaphd.com/phds/project/elucidating-the-relationship-between-…> The project will be supervised by Prof James Boardman, Dr Manuel Blesa Cábez (myself) and Prof Riccardo Marioni. The University of Edinburgh is one of the world’s top universities, consistently ranked in the world top 50 and placed 22nd in the 2024 QS World University Rankings. It has an international reputation for innovative research across a wide range of disciplines. The salary is £19,237 per year and the application is open worldwide. Closing date 6 of June! For any informal queries, please don’t hesitate to contact me: manuel.blesa(a)ed.ac.uk

1 0

Postdoc/student workshop at Washington University in St Louis
by Goodhill, Geoffrey May 24, 2024

May 24, 2024

Opportunity for postdocs and senior graduate students! The recently established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its second Computational Neuroscience Next Generation symposium, September 16-17th 2024: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is June 15th. 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 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

1 0

[Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly May 23, 2024

May 23, 2024

Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu… <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

1 0

Mentors Needed for Neuromatch Academy!
by Courtney Dean May 22, 2024

May 22, 2024

Hello! *I invite you to join Neuromatch Academy as a mentor for our online academies in July! *We have outstanding students from over 100 countries, many of whom lack career connections. If you are passionate about nurturing talent in neuroscience or artificial intelligence, please apply here. We are accepting applicants on a rolling basis. *As a mentor, you will provide advice to students about their academic and professional journeys with just one hour per week.* There is no prior preparation required. Here is what you will do: - Mentor a small group of students matched with your expertise and preferences. - Discuss professional development topics of your preference, such as PhD applications, work-life balance, and careers in academia/industry. - Guide students by sharing your experiences and discussing their questions during sessions, which will occur once a week during the course. We offer three dynamic courses: - Computational Neuroscience <https://neuromatch.io/computational-neuroscience-course/> (July 8-26) - Deep Learning <https://neuromatch.io/deep-learning-course/> (July 8-26) - NeuroAI <https://neuromatch.io/neuroai-course/> (July 15-26) -- *we are especially in need of mentors for this course! * Choose a course aligned with your expertise and interests, and we will match you with students eager to explore that field alongside you. Your commitment can shape the future of these fields. Join us in empowering the next generation of scientists! *To sign up and for more information please visit our mentorship program* *webpage:* https://neuromatch.io/mentoring/ If you have any additional questions, please reach out to mentors(a)neuromatch.io. Best, Avisha & Angelo Co-chairs Professional Development | Neuromatch -- *Courtney Dean (she, her) * Project Manager Schedule a meeting with me! <https://calendly.com/courtney-s-dean> c. 720.371.6559

1 0

Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission
by Alexander Lammers May 22, 2024

May 22, 2024

Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ 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 * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST * Bernstein Conference: September 29 – October 2, 2024 ____ 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/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

PhD in computational neurosciences at CerCo (CNRS UMR 5549, Toulouse France)
by MASQUELIER Timothee May 22, 2024

May 22, 2024

Fully funded PhD fellowship in computational neurosciences at the CerCo laboratory (CNRS UMR 5549, Toulouse France) and in collaboration with the IPAL laboratory (IRL 2955, Singapore) Benoit Cottereau / Timothée Masquelier Starting date: Second semester of 2024 Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>) Keywords: Vision, Computational neurosciences, Artificial intelligence (AI), Spiking neural networks, Event-based cameras, Neuro-ophthalmology. A fully funded PhD fellowships is available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director) and Timothée Masquelier (CNRS research director). The aim of the project is to develop computational models that explain how the visual system evolves following the onset of pathologies associated with visual field deficits (e.g., in patients with macular degeneration or retinis pigmentosa). We will be specifically interested in the neuroplasticity mechanisms that may underly the visual rehabilitations observed in some animal models of these pathologies (see e.g., Shao et al., 2014; Burnat et al., 2017). It will be realized using spiking neural networks trained with data collected by event-based cameras from partially occluded visual scenes (see e.g., Moore et al., 2021). The outputs of the networks after training will be compared to those observed in neural recordings and/or in behavioural experiments realized in patients (the CerCo has a privileged connection with the Retina Center of the Purpan hospital in Toulouse). The candidates should be willing to work in a multidisciplinary environment which combines AI, neurosciences and ophthalmology, have a good level in English, very good mathematical and 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). Stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. The position 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> and timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>, including a CV and 2 names of references. References: - Burnat, K., Hu, T. T., Kossut, M., Eysel, U. T., & Arckens, L. (2017). Plasticity beyond V1: reinforcement of motion perception upon binocular central retinal lesions in adulthood. Journal of Neuroscience, 37(37), 8989-8999. - Moore, J. A., Tuladhar, A., Ismail, Z., Mouches, P., Wilms, M., & Forkert, N. D. (2023). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics, 21(1), 45-55. - Shao, Y., Keliris, G. A., Papanikolaou, A., Fischer, M. D., Zobor, D., Jägle, H., ... & Smirnakis, S. M. (2013). Visual cortex organisation in a macaque monkey with macular degeneration. European journal of neuroscience, 38(10), 3456-3464.

1 0

World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics
by David Hansel May 19, 2024

May 19, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Yu Hu Hong Kong University of Science and Technology on the topic of "How random connections and motifs shape the covariance spectrum of recurrent network dynamics*"* The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linearized dynamics around a steady state, we obtained analytically the covariance spectrum which exhibits a signature long tail robust to model variants and matches zebrafish calcium imaging data. This provides a local circuit mechanism for shaping the geometry of population dynamics and a quantitative benchmark for interpreting data. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

1 0

Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 May
by ICAS Organizing Committee May 18, 2024

May 18, 2024

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks * * Last seats left, hurry up and register! * There are still some spots available on the Advanced Course on Generative AI - ACDL 2024. To participate your registration fee has to be received by *23 May* so please register asap! See you in Tuscany in June! https://acdl2024.icas.events #ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts. If you want to learn NLP, Generative AI Transformers, Diffusion Models, Large language models, Vision - Large-scale vision models, Vision and language, Beyond vision and language, Multimodal Foundation Models and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl(a)icas.cc EARLY REGISTRATION: by May 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by May 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lecture: “Artificial Intelligence: Where We Are, Where We Are Going?” * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA “Cluster-detection Methods in Network-based Data Analysis” “Continuous Approaches to Cluster-Detection Problems in Networks ” * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA “Machine Learning for Modeling and Control of Complex Systems” 1/2 “Machine Learning for Modeling and Control of Complex Systems” 2/2 “Solving forward and inverse problems with and without neural networks” “Bayesian Uncertainty Quantification” * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lecture TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on “Deep Generative Modelling” * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands Lecture "Generalized Belief Propagation Algorithms for Tensor Network Contractions" PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: https://acdl2024.icas.events/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by May 23) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚ (by May 23); all attendants must stay at the Riva del Sole Resort & SPA. Once accommodation has been booked at Riva del Sole Resort & SPA‚ the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl(a)icas.cc) ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl(a)icas.cc *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

1 0

Grand Challenge on Neural Decoding at BioCAS 2024
by Prof. Arindam BASU May 18, 2024

May 18, 2024

Apologies for Cross posting ---------------------------------- Dear all We are pleased to announce the Grand Challenge on “Neural Decoding for Motor Control of non-Human Primates” at IEEE BioCAS 2024. About The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc. An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant. Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction. This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs. Timeline Start of Registration Friday, Apr 26, 2024 Start of Project Submission Wednesday, May 1, 2024 End of Registration/ Regular Paper Submission Friday, May 27, 2024 End of Project Submission Friday, Aug 2, 2024 Author Notification Date Friday, Aug 16, 2024 Final paper submission deadline Friday, Sep 6, 2024 Conference Registration Friday, Oct 4, 2024 Participation 1. The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3. 2. To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action. 3. Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6 ). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as “Grand Challenge”, by May 27, 2024. Awards Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper –the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates. For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/ You may also email the organizers as listed below. We look forward to receiving your submissions! Thanking you, Organizers Biyan Zhou, City University of Hong Kong Pao-Sheng Vincent Sun, City University of Hong Kong Jason Yik, Harvard University Charlotte Frenkel, Delft University of Technology Vijay Janapa Reddi, Harvard University Arindam Basu, City University of Hong Kong (Email: byzhou4-c(a)my.cityu.edu.hk<mailto:byzhou4-c@my.cityu.edu.hk>; vincesun-c(a)my.cityu.edu.hk<mailto:vincesun-c@my.cityu.edu.hk>; jyik(a)g.harvard.edu<mailto:jyik@g.harvard.edu> ) -- Regards Arindam Basu Professor, Dept. of EE City University of Hong Kong Associate EiC, IEEE TBCAS Editorial Board Member of IOP Neuromorphic Computing and Engineering Associate Editor of IEEE Sensors & Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

1 0

MESEC WORKSHOP 2024 [Deadline Extension]
by RUBÉN HERZOG May 17, 2024

May 17, 2024

Dear comp-neuro community, APPLICATION DEADLINE EXTENDED We have extended the application deadline of the exciting MESEC Workshop 2024 on non-ordinary states of consciousness! one week, so don’t miss this opportunity to apply. *The new deadline is May 24th, 2024 at 23:59 anywhere on Earth.* This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. *As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend.* Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 Feel free to reach out to info(a)mesec.co with any questions. Best regards, The MESEC 2024 Team (Ros, Ruben, Romy, George)

1 0

Complexity Textbook with ML Chapter
by Claudius Gros May 16, 2024

May 16, 2024

Everybody! The just-published 2024 (fifth) Edition of the Sprinter Textbook Complex and Adaptive Dynamical Systems A Comprehensive Introduction contains now a chapter on "Complexity of Machine Learning" Just to let you know. More information in the table of contents https://link.springer.com/content/pdf/bfm:978-3-031-55076-8/1 Claudius -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ###

1 0

M.Sc. Modeling for Neuronal and Cognitive Systems - applications are open
by Chloe Bourgeois May 16, 2024

May 16, 2024

[APPLICATIONS FOR 2024-25 ARE OPEN UNTIL JUNE 15 !] The M.Sc. Mod4NeuCog is a two-year interdisciplinary master's program at Université Côte d'Azur (Nice, France), which aims to train active researchers at the crossroads of computer science, applied mathematics and cognitive neuroscience. We encourage students with a background in computer science, mathematics, cognitive science, psychology or neuroscience to apply to our program, where they will learn to model cognitive functions using mathematical and computational tools. After the program, students are specialized in computational neuro/cognitive science and able to work in fully interdisciplinary settings, with a strong foundation in mathematics. More information available at our website : https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Thanks for sharing this email with people who may be interested! -- Chloé BOURGEOIS-ANTONINI Responsable administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> Université Côte d'Azur 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99 chloe.bourgeois(a)univ-cotedazur.fr<mailto:chloe.bourgeois@univ-cotedazur.fr>

1 0

SUMMER SCHOOL:
by Stephen José Hanson May 15, 2024

May 15, 2024

Large Language Models : Science and Stakes (June 3-14, 2024) SUMMER SCHOOL: "UNDERSTANDING LLM UNDERSTANDING" https://skywritingspress.ca/2019/01/08/the-journey-begins/ -- Stephen José Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS

1 0

Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard May 15, 2024

May 15, 2024

Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris) A postdoc position (12+ month) 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 contribute to the development of 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 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). Starting date: September, 1st. Application deadline: June 15th. Location: The postdoc will be based in ISIR (https://www.isir.upmc.fr/?lang=en) in the Pierre & Marie Curie campus in the center of Paris. Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information and applications. 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 http://people.isir.upmc.fr/girard Submit your replications to ReScience C: https://rescience.github.io

1 0

MESEC WORKSHOP 2024: Non-ordinary States of Consciousness
by RUBÉN HERZOG May 15, 2024

May 15, 2024

Dear comp-neuro-list readers *We invite you to apply to the MESEC WORKSHOP 2024 on Non-ordinary states of consciousness* Join us for an interdisciplinary workshop that brings together researchers from various fields to investigate non-ordinary states of consciousness, such as those induced by psychedelics, meditation, and hypnosis. This collaborative event provides a unique opportunity to engage with leading experts and explore these states from both first-person and third-person perspectives. This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend. Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 by May 18th! Feel free to reach out to info(a)mesec.co with any questions. Best regards, On behalf of the The MESEC 2024 Team Rubén Herzog, PhD.

1 0

Postdoctoral position in "Higher-order interactions in brain networks" (Marseille, France)
by Andrea Brovelli May 14, 2024

May 14, 2024

Postdoctoral position (1+1 years duration) Centre de Physique Théorique, Marseille <http://www.cpt.univ-mrs.fr/> and Institut des Neurosciences de la Timone, Marseille <https://www.int.univ-amu.fr/> Project Title: Higher-order interactions in human brain networks supporting causal learning Supervisors:Alain Barrat (CPT, Marseille) <http://www.cpt.univ-mrs.fr/~barrat>andAndrea Brovelli (INT, Marseille) <https://www.int.univ-amu.fr/member/brovelli.a> *Project abstract*: Learning is a brain network phenomenon thought to arise from synergistic interactions between multiple brain regions. Although central, this hypothesis has never been fully tested, yet. Indeed, progress has been limited by the lack of approaches for studying brain interactions beyond pairwise relations, the so-called higher order interactions (HOIs). Our objective is to build a theoretical and data analysis framework to demonstrate the role of HOIs in human brain networks supporting causal learning. The Hinteract project will be composed of three scientific work packages (WPs). WP1 will develop a novel informational theoretical approach to infer task-related (functional) HOIs from neural time series and will characterise HOIs supporting causal learning using a multiscale dataset including magnetoencephalography (MEG) and intracranial stereo-electroencephalography (SEEG) data. WP2 will develop a network science formalism to analyse the structure and dynamics of functional HOIs patterns, and it will characterise the hierarchical organisation of learning-related HOIs inferred in WP1. WP3 will compile and share the neuroinformatics tools developed in the project and it will make it interoperable with the EBRAINS infrastructure. Overall, our project will reveal whether causal learning is supported by cerebral HOIs, and produce a theoretical and computational framework for the study of HOIs in brain networks that will be shared with the scientific community. Workpackages: WP1: Inference of learning-related high-order interactions in the brain WP2: Analysis of learning-related high-order interactions in the brain using network science approaches WP3: Integrated neuroinformatics tools for HOI analysis and sharing on EBRAINS infrastructure The _hired postdoctoral researcher will mainly work on WP2_, i.e., on the development of new formalisms and methods to apply to higher order interaction patterns identified in the data analyzed in WP1. We are looking for a candidate with a strong background in statistical physics, complex networks, computational neuroscience and programming, and a strong interest in interdisciplinary work. Having already worked on higher order networks is a plus but not required. The hired postdoctoral researcher will be based in the CPT on the Luminy Campus (south of Marseille) but will also devote a significant part of their time at the INT in the La Timone campus. *Position starting date:*October 1st, 2024 (negotiable) *Duration of the position:*1 year, renewable *Deadline for applications: June 15th, 2024* *TO APPLY*: * please send CV and motivation letter, and * have your supervisors send directly two letters of recommendation, *within June 15th, 2024*to alain.barrat @ cpt.univ-mrs.fr*and*andrea.brovelli @ univ-amu.fr

1 0

REMINDER: World wide VVTNS series: Wednesday, May 15 at 11am (EDT), Agostina Palmigiano, Gastby Unit, London | Mechanisms underlying responses to optogenetic perturbations
by David Hansel May 14, 2024

May 14, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Agostina Palmigiano Gatsby Unit, London on the topic of "Mechanisms underlying responses to optogenetic perturbations*"* The lecture will be held on zoom on *May 15, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Optogenetic stimulation is a powerful tool to probe neural circuits. Yet, its effect on neural dynamics can be counterintuitive. Here, we analyzed and theoretically modeled neuronal responses to visual and optogenetic inputs in mouse and monkey V1. We found that in both species, optogenetic activation of excitatory neurons had weak or no effects on the distribution of firing rates across the population, but strongly modulated single-cell activity, a phenomenon which we call neuronal reshuffling. Through theoretical analysis and numerical investigations, we show that neuronal reshuffling emerges in strongly-coupled, randomly-connected networks via strong feedback inhibition, provided that the optogenetic input is sufficiently heterogeneous and weak. As perfect reshuffling was observed only when measuring cells whose orientation preference matched the orientation of the presented stimulus (in the monkey data), we extended our analysis to networks with a connection probability and inputs that depend on the cell's feature preference. We show that this model can be theoretically described as interactions between the tuned activity, encoding sensory features, and the untuned baseline activity. Finally, we show that these models can produce rate reshuffling via strong, effective inhibition of the tuned response by the untuned baseline and work out an intuition for this phenomenon. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ

1 0

Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI
by O'Donnell, Cian May 14, 2024

May 14, 2024

We invite applications for our 4th annual Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) in the Derry/Londonderry campus of Ulster University, Northern Ireland. The School runs from August 26th to 30th 2024 in hybrid mode with both in-person and online attendees. There have been rapid advancements and investments in research and development in brain sciences, neurotechnology, neural data modelling and neuro-inspired artificial intelligence (AI). The Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN3) Summer School aims to train the next generation of researchers on these state-of-the-art developments. This short course will touch on the areas of computational neuroscience, neural data science, neurotechnology and neuro-inspired AI. Current lecture list (to be finalised): * Introductory neuroscience * Mathematics for neuroscience * Computational modelling of plasticity and learning in brains * Computational modelling of neuronal and glial interactions * Modelling the dynamics of decision-making * Neural Signal Processing * Brain Hyperscanning * Neurotechnology and its application for disorders of consciousness * BCI-controlled exoskeleton for neuro-rehabilitation * Spiking Neural Networks and their applications * Introduction to Continual Learning * Neuro-inspired Large Language Models * Neuromorphic Computing and Applications * Research ethics in Neuroscience, Neurotechnology and AI There will also be daily computer lab sessions and group projects. How is this course different to other schools? Some key benefits: * Crash-course on a broad set of topics. * Compressed 5-day duration. * Targeted at people new to or curious about these fields, who want to learn more. Little background knowledge assumed. * Registration costs kept low and subsidised housing, to encourage a diverse attendee pool. The 2023 School hosted 143 participants from 34 countries, with 41 attending in-person. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Some attendee feedback: * “… mind-opening experience …to listen to the great work of top-notch researchers” * “…friendly environment which I felt even in online experience” * “…lectures were not only interesting on their own but were ordered in such a way that they built on top of each other …and I felt I had built a good foundation on various topics in neuroscience that I can revisit later” For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for In-Person Application: 15 June 2024 Deadline for Online Application: 10 August 2024 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

1 0

CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024
by Genevieve Jourdain-Lambert May 13, 2024

May 13, 2024

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *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 PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey

1 0

position at NIH: Data Scientist and Senior Advisor to the Director of the National Institute on Drug Abuse
by Francisco Pereira May 13, 2024

May 13, 2024

The National Institute on Drug Abuse (NIDA) is seeking a GS-15 Data Scientist for the Office of the Director. The incumbent of this position will serve as a Data Scientist and Senior Advisor to the NIDA Director and other leadership positions, on matters related to health informatics and data science, data management, emerging technologies, opportunities for collaboration, data standards and policy within the scope of the NIDA mission. The incumbent will plan and carry out quality control programs and select statistical methods for use in quality control analysis and ensure the reliability and consistency of the data while measuring the data limitations. Additionally, the selectee will provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data- and knowledge-driven methods in the organization; and develop collaborations with researchers and administrators applying technical expertise to support a variety of use cases related to neuroscience. Some of the duties include but are not limited to the following: - Serves as a principal advisor to the NIDA Director and senior leadership on health informatics and data science, data management, and emerging technologies. - Contribute as a recognized expert in the design and implementation of computer-based solutions, including tools, techniques and practices that broaden the use of NIDA data sets and knowledge bases and ensure access to research data throughout its lifecycle. - Serve as the Institute's subject matter expert (SME) on issues and matters related to new, novel, and/or emerging technologies and areas in data analytics and their application to supporting the Institute's research portfolio; business process improvements and enhancements; data policies related to privacy, accessibility, and interoperability; and applied data science. - Serve as a member of committees or workgroups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIDA on matters relating to policy and interpretation of resource requirements for data science. - Represent the organization at professional meetings and conferences where the focus is addiction-related data science and neuroinformatics. The ideal candidate will have a bachelor’s degree or graduate/higher level degree in mathematics, statistics, computer science, or data science. The successful candidate will also possess extensive knowledge of and documented experience working in neuroscience, addiction science, and/or substance use disorder research. The candidate must be a U.S. Citizen or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration. https://www.usajobs.gov/job/782086300

1 0

Research Positions at OIST Neural Computation Unit
by Kenji Doya May 12, 2024

May 12, 2024

Neural Computation Unit (prof. Kenji Doya) at Okinawa Institute of Science and Technology Graduate University (OIST) has multiple open research positions. 1. Theory and experimental investigation of Bayesian inference and reinforcement learning by the cortex, basal ganglia, and neuromodulator systems • Unified Theory of Prediction and Action: https://unifiedtheory.jp/en/organization/a03-doya/ • Moonshot R&D Program: https://www.jst.go.jp/moonshot/en/program/goal9/9D_miyazaki.html 2. Data-driven construction of neural network models and large-scale simulation • Brain/MINDS 2.0 Digital Brain Project: https://groups.oist.jp/ncu/digital-brain-project • Fugaku Whole Brain Simulation Project: https://brain-hpc.jp/en/ 3. Application of wearable devices for monitoring mind and body state to support healthy life • Bioconvergence Center of Innovation: https://bioconvergence.jp/en/ 4. Flexible and robust reinforcement learning and meta-learning algorithms 5. Development of smartphone robots for multi-agent learning and embodied evolution If you are interested, please visit our web site: https://groups.oist.jp/ncu and apply by the web form: https://groups.oist.jp/ncu/oist-neural-computation-unit-job-application-form If you are interested to join as a PhD student or an intern, please apply from OIST Graduate School admission site: https://admissions.oist.jp/ Best wishes, Kenji ---- 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

2 1

Positions at the University of Helsinki
by Rich, Scott May 10, 2024

May 10, 2024

Dear Comp-Neuro Listserv, I’m forwarding along this notice on behalf of a colleague. Apologies for any potential double postings! Happy to share that we are looking for two new systems neuroscientists and/or computational neuroscientists at the Neuroscience Center, University of Helsinki, Finland. The PI position is 5+4 years, salary is covered fully, and no teaching load. After the 9 years, it would be likely that a professor position would open up and the PI could apply for full profesor, but they could also obtain grants and stay as a PI in the Neuroscience Center without teaching. Finland is an awesome place to live and have a family. https://jobs.helsinki.fi/job/Helsinki-Two-group-leader-positions%2C-Neurosc… ___________ Sincerely, Scott Rich, Ph.D. Assistant Professor, University of Connecticut Department of Physiology and Neurobiology pnb.uconn.edu/person/scott-rich/ <http://pnb.uconn.edu/person/scott-rich/>richlab.pnb.uconn.edu<http://richlab.pnb.uconn.edu/>

1 0

INCF/OCNS Software Working Group sessions: Pierre Yger: SpikeInterface: 14 May 1500 UTC
by Ankur Sinha May 9, 2024

May 9, 2024

Dear all, Apologies for the cross posts. Pierre Yger will present SpikeInterface at the next open INCF/OCNS Software Working Group (WG) session on May 14 at 1500 UTC. There will be a Q&A session after the presentation, followed by WG business. Please find the abstract and joining information below: - When: May 14, 1500 UTC - Where: Zoom (https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09) - Web page: https://ocns.github.io/SoftwareWG/2024/05/07/wg-meeting-14-may-2024-spikein… Abstract: - https://elifesciences.org/articles/61834 - https://spikeinterface.readthedocs.io/en/latest/ Much development has been directed toward improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders rigorous benchmarking and complicates reproducible analysis. To address these limitations, we developed SpikeInterface, a Python framework designed to unify preexisting spike sorting technologies into a single codebase and to facilitate straightforward comparison and adoption of different approaches. With a few lines of code, researchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-process, post-process, and visualize extracellular datasets; validate, curate, and export sorting outputs; and more. In this paper, we provide an overview of SpikeInterface and, with applications to real and simulated datasets, demonstrate how it can be utilized to reduce the burden of manual curation and to more comprehensively benchmark automated spike sorters. -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

1 0

Summer School for Primate Cognitive Neuroscience 2024, Bad Bevensen, Germany
by Igor Kagan May 8, 2024

May 8, 2024

Dear colleagues, Applications are still being accepted for the third Summer School for Primate Cognitive Neuroscience <https://www.dpz.eu/index.php?id=4297>, taking place July 28 - August 09, 2024, in Bad Bevensen, Germany (see http://www.dpz.eu/pcn2024).The application deadline is May 17. This Summer School is intended for PhD students and early postdocs from the field of cognitive and systems neuroscience working with non-human primates and will provide an outstanding training and networking opportunity for young researchers. Teaching will focus on cognitive processes in primate sensory and motor systems as well as on social settings and decision making, and will include important and novel results and methodologies. Topics of animal welfare, ethics, and media outreach will also be covered. A poster presentation about current research of the participant is expected. Selection of applicants is competitive. Since funding of this School is mostly covered (including meals and accommodation for the two weeks), only a reduced participation fee is required (1000 EUR). A limited number of travel grants is also available for international participants. Organizers: Hans Scherberger Stefan Treue Alexander Gail Igor Kagan Raymundo Báez-Mendoza -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany

1 0

Second Announcement: 9th Int. Summer School on Neuroengineering 'Massimo Grattarola’, June 10th – 14th, 2024 Genova ITALY
by Michela Chiappalone May 7, 2024

May 7, 2024

**DO NOT MISS THIS FANTASTIC OPPORTUNITY** Dear all, Join us in the beautiful city of Genova for the 9th International Summer School on Neuroengineering. The 2024 edition is dedicated to 'Neuroengineering for health and disease: a multi-scale approach'. Info, program, registration are available at: https://neuroengineering.eu/ The Best Poster Award for the three Best Posters (1st, 2nd, 3rd winners) will be awarded during the final ceremony on June 14th, 2024. **Early bird rates extended till May 15th Full List of Speakers: Luca Leonardo Bologna (CNR, Palermo, Italy) Matteo Cerri (University of Bologna, Bologna, Italy) Marco Chierici (Fondazione Bruno Kessler, Trento, Italy) Giuseppe Cosentino (Fondazione IRCCS Mondino, Pavia, Italy) Egidio D’Angelo (University of Pavia, Pavia, Italy) Elisa Donati (University of Zurich, Zurich, Switzerland) Tommaso Fellin (Istituto Italiano di Tecnologia, Genova, Italy) David J. Guggenmos (University of Kansas Medical Center, Kansas City, KS, USA) Andreas Hierlemann (ETH Zurich, Basel, Switzerland) Viktor Jirsa (Aix Marseille Université, Marseille, France) Jean-Charles Mariani (Istituto Italiano di Tecnologia, Rovereto, Italy) Maurizio Mattia (Istituto Superiore di Sanità, Roma, Italy) Alberto Mazzoni (Scuola Superiore Sant’Anna Pisa, Italy) Silvestro Micera (Scuola Superiore Sant’Anna Pisa, Italy & EPFL, Lausanne, Switzerland) Farshad Moradi (Aarhus University, Aarhus, Denmark) Yuval Nir (Tel Aviv University, Tel Aviv, Israel) Lino Nobili (IRCCS Ospedale Giannina Gaslini & University of Genova, Genova, Italy) Francesco Nori (Google Deepmind, London, UK) Domenico Pellegrini-Giampietro (University of Firenze, Firenze, Italy) Michele Piana (University of Genova, Genova, Italy) Petra Ritter (Charité Universitätsmedizin, Berlin, Berlin, Germany) Marianna Semprini (Istituto Italiano di Tecnologia, Genova, Italy) Cristina Tassorelli (University of Pavia, Pavia, Italy) Nicola Toschi (University of Roma Tor Vergata, Roma, Italy) Valter Tucci (Istituto Italiano di Tecnologia, Genova, Italy) Antonio Uccelli (IRCCS Ospedale Policlinico San Martino & University of Genova, Genova, Italy) Sheng Wang (NBE, Aalto University, Helsinki, Finland) Maike Zijlamns (UMC Brain Center and Stichting Epilepsie Instellingen Nederland, Utrecht, The Netherlands)) Organizers: * Gabriele Arnulfo, Michela Chiappalone, Marco Fato, Paolo Massobrio, Sergio Martinoia (University of Genova, Genova, Italy) * Lino Nobili (IRCCS Ospedale Giannina Gaslini & University of Genova, Genova, Italy) * Egidio D’Angelo (University of Pavia, Pavia, Italy) * Alberto Mazzoni (Scuola Superiore Sant’Anna, Pisa, Italy) Feel free to get in touch with us to get more information at this email address: info(a)neuroengineering.unige.net<mailto:info@neuroengineering.unige.net> Looking forward to hosting you in Genova, Best regards, Michela Chiappalone, on behalf of the organizing committee ------------------------------------------------------------------------- Prof. Michela Chiappalone, PhD Associate Professor of Bioengineering Department of Informatics, Bioengineering, Robotics, and Systems Engineering - DIBRIS UNIVERSITY OF GENOVA Via all’Opera Pia 13A, 16145 Genova E-mail: michela.chiappalone(a)unige.it<mailto:michela.chiappalone@unige.it> Researcher Rehab Technologies IIT-INAIL Lab ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it>

1 0

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
by Jiaxiang ZHANG May 7, 2024

May 7, 2024

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) 4 - 6 September 2024, Swansea, UK https://aiih.cc (1st CALL FOR ABSTRACT) [ apologies for cross-postings] Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single track conference with oral and poster presentations and will include 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experiences in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *3. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *4. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ *5. IMPORTANT DATES* Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 – Friday 6 September 2024 *5. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen’s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *6. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *7. CONTACT* contact(a)aiih.cc

1 0

Last call: Submit your IP abstract today for INCF Neuroinformatics Assembly!
by Heather Topple May 6, 2024

May 6, 2024

Today is the deadline to submit Investigator Presentation abstracts for INCF Neuroinformatics Assembly 2024: Brain Meets AI. Apply today to speak at Assembly! *Deadline: May 06* *Session topics include* - Data standards & reproducibility - Large-scale databasing & mega-analysis - Collaborative tools & more! Submit your abstract: bit.ly/INCFabstracts *Keynote speakers* Elisabeth Bik, Microbiome Digest Viktor Jirsa, INS Danilo BzDok, MILA Timo Dickscheid, Julich Research Hanchuan Peng, SEU-ALLEN /The INCF Team International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> incf.org neuroinformatics.incf.org

1 0

World wide VVTNS series: Wednesday, May 8 at 11am (EDT), Douglas Zhou, Jiatong University| "Neuronal network reconstruction through causality measures"
by David Hansel May 5, 2024

May 5, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Douglas Zhou Jiatong University on the topic of "Neuronal network reconstruction through causality measures*"* The lecture will be held on zoom on *May 8, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Understanding the causal connectivity within a network is crucial for unraveling its functional dynamics. However，the inferred causal connections are fundamentally influenced by the choice of causality measure employed, which may not always align with the actual structural connectivity of the network. The relationship between causal and structural connectivity, especially how different causality measures affect the inferred causal links, requires further exploration. In this talk, we examine nonlinear networks characterized by pulse signal outputs, such as spiking neural networks, using four prevalent causality measures: time-delayed correlation coefficient, time-delayed mutual information, Granger causality, and transfer entropy. We provide a theoretical analysis of the interconnections among these measures when applied to pulse signals. Utilizing both a simulated Hodgkin–Huxley network and an empirical mouse brain network as case studies, we validate the quantitative relationships between these causality measures. Our results show a strong correspondence between the causal connectivity derived from any of these measures and the actual structural connectivity, thereby establishing a direct linkage between them. We highlight that structural connectivity in networks with output pulse signals can be reconstructed on a pairwise basis, without needing global information from all network nodes, effectively avoiding the curse of dimensionality. Our approach offers a robust and practical methodology for reconstructing networks based on pulse outputs. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

1 0

Postdoc for 3 years -- How to be flexible – organizing and optimizing task-dependent information processing in the visual system
by David Rotermund May 3, 2024

May 3, 2024

The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to § 2 WissZeitVG) *How to be flexible – organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. *Requirements**:* Ideal candidates will have a PhD in computational neuroscience, physics, computer science or related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo(a)neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab <https://www.uni-bremen.de/ernstlab>_ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1–2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *31.05.2024*by indicating the *job id A189-24 to* Universität Bremen Institut für Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen(a)neuro.uni-bremen.de <mailto:ajanssen@neuro.uni-bremen.de>_. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered.

1 0

EBRAINS Brain Simulation Workshop 2024 - Bilbao, 3-7 June
by Mathieu Desroches May 3, 2024

May 3, 2024

Dear all, We are organising the next EBRAINS <https://www.ebrains.eu/> event in Bilbao from 3rd to 7th June. All infos regarding the registration and the scientific program are available on the event’s webpage: https://www.bcamath.org/events/ebrains2024/en/ Best, Mathieu. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Inria Branch of the University of Montpellier, France https://www-sop.inria.fr/members/Mathieu.Desroches/

1 0

Activities for Students and Postdocs at the FENS Forum 2024
by SHSC FENS May 3, 2024

May 3, 2024

Apologies for cross-posting. Dear all, I would like to bring your attention to the activities for students and postdocs at the *FENS Forum 2024 <https://fensforum.org/>* (25th-29th of June in Vienna, Austria), organised by students from the host societies, the Austrian Neuroscience Association and Hungarian Neuroscience Society. To help you network during the forum, we invite you to sign up for the following events (the *activities are for free*, but you need to be a Forum participant to be eligible): - Meet the Experts <https://www.austrian-neuroscience.at/FENS2024-SHSC_Meet_the_Expert/>: a *coffee break session with the conference speakers*, where we pair you with 4 other students and an expert on your topic of interest at a cafe near the conference venue. Coffee and cake are paid by us! - Student buddy system <https://www.austrian-neuroscience.at/FENS2024-SHSC_buddysystem/>: we pair you with a local neuroscientist to help you navigate the city, answer questions, and make your trip to FENS 2024 unforgettable! *The deadline for signing up is May 15th.* Also check out our *booth at the conference venue*! There you can get advice for travel, restaurants, leisure, the scientific program, and other surprises! You will also find the brochure "Vienna Unveiled: Uncover Hidden Gems and Local Favorites" featuring our favorite spots in town. For detailed information please check out our website: austrian-neuroscience.at/FENS2024-SHSC/ <https://www.austrian-neuroscience.at/FENS2024-SHSC/> And for updates about our activity follow us on social media: instagram.com/austrianneuroscience/ <https://www.instagram.com/austrianneuroscience/> facebook.com/Austrian.Neuroscience.Association <https://www.facebook.com/Austrian.Neuroscience.Association> linkedin.com/in/austrian-neuroscience-association <https://www.linkedin.com/in/austrian-neuroscience-association> twitter.com/AustrianNeuros1 If you have any questions please email us at: shscfens(a)gmail.com See you at the FENS Forum 2024! Kind regards, FENS Forum Student Host Society Committee

1 0

[CFP] Final deadline extension - 6 May - Modern Machine Learning methods for robust and real-time BCI - ESANN 2024
by Jaime Andres Riascos Salas May 3, 2024

May 3, 2024

Sorry for cross-posting. CALL FOR PAPERS CFP – SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) FINAL EXTENSION - Paper Submission Deadline: 6 MAY 2024 EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Are you planning to participate? A short additional extension is possible, please contact the special session organizer: jariascos(a)correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the next topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: FINAL EXTENSION - Paper submission deadline: 2 MAY 2024 6 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANZERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! -- Jaime A. Riascos Salas Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines

1 0

Available Positions in Computer Science at the University of Plymouth
by Amir Aly May 2, 2024

May 2, 2024

Dear All The University of Plymouth has several available positions in Computer Science (including games, cybersecurity, and AI). More details are available in this advertisement (deadline is 27th May 2024): https://www.jobs.ac.uk/job/DGN533/lecturer-associate-professor-in-computer-… If you have any remarks, pls don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

1 0

2nd announcement: Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin
by Reinoud Maex May 1, 2024

May 1, 2024

________________________________ From: Brian Sullivan <brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk>> Sent: Wednesday, March 27, 2024 14:27 To: comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org> <comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>> Subject: Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin On May 20, 2024, a memorial symposium will be held as a remembrance and celebration of the life and scientific work of Dr. Dana Ballard (1946–2022), who was a pioneer in the study of computer vision, neural computation, human vision and motor coordination, and robotics. Dr. Ballard was a professor of computer science at the University of Texas at Austin and a member of the Center for Perceptual Systems. As part of the IEEE International Conference on Development and Learning (ICDL) 2024,https://la.utexas.edu/users/dil/ICDL_Austin_2024/<https://la.utexas.edu/users/dil/ICDL_Austin_2024>, we will host a morning seminar session celebrating Dana Ballard’s research with presentations by: Rajesh Rao, Jochen Triesch, Chen Yu, Virginia De Sa, Constantin Rothkopf, Janneke Jehee, and Ruohan Zhang. Memorial Session Website: https://la.utexas.edu/users/dil/symposium%20_icdl/index.html<https://la.utexas.edu/users/dil/symposium%20_icdl/index.html> Date: Monday May 20, 2024 Time: 8:30 am to 12:00 pm Location: The University of Texas at Austin, Austin, Texas, USA The session is free but we ask that you kindly register your plans to attend via the Google form listed on the session website, or via the direct link here: Registration for the Dana Ballard Memorial Symposium at ICDL 2024 (google.com)<https://docs.google.com/forms/d/e/1FAIpQLScI5RRtrBBlKpEi3wcXw30MBM3nfe7mwCj…> Note that registration for the main conference is not required, but if you are interested in attending the main conference, you can register here: https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary<https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary> Information about accommodation is available on the main conference web page. Brian Sullivan & Chen Yu -- Please note I have shifted to honorary status at the University of Bristol and do not check this email regularly. -- Brian Sullivan brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk> Honorary Research Fellow Population Health Sciences Bristol Medical School BF7 Barley House University of Bristol Bristol, BS8 2BN, UK

1 0

Final schedule released; fewer than 20 tickets left---Convention on Mathematics of Neuroscience and AI (Rome, May 28-31st 2024)
by Battleday, Ruairidh May 1, 2024

May 1, 2024

Dear All, We have just released the *final schedule* for our *Annual Convention on the Mathematics of Neuroscience and AI*: www.neuromonster.org We are very nearly out of tickets, so if you do want to come and join us, please go ahead and book now! We have a *fantastic line-up of speaker*s, and a *fantastic venue* near the Colosseum. A once-in-a-decade event? *Keynotes* Professor Peter Dayan (Max Planck Institute, Tübingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Professor Kevin Ellis (Cornell) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) *Speakers* Professor Andrew Adamatzky (UWE) Professor Christine Grienberger (Brandeis) Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) Professor Najoung Kim (BU, Google) Dr André Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) ... and many more spotlight talks! All the best, The Organizing Committee -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking <http://www.thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

1 0

Postdoctoral position in computational neuroscience of reward learning at NIMH
by Langdon, Angela (NIH/NIMH) [E] April 30, 2024

April 30, 2024

The Unit on the Neural Computations in Learning at the National Institute of Mental Health/NIH, led by Dr Angela Langdon, is looking for a creative and enthusiastic postdoctoral fellow to join the lab! Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are instantiated in neural activity across the reward learning circuits of the brain. We have a particular interest in how reward learning is altered in compulsive behaviors and in addiction. We are looking for a postdoc who is interested in developing approaches from reinforcement learning, dynamical systems theory and Bayesian inference to understand the online regulation of reward prediction and learning in neural activity and behavior. We have a broad network of collaborating labs that span rodent, NHP and human studies, and the ideal candidate will be comfortable working in a highly interdisciplinary environment to pursue novel and translational insights into the neural basis of reward learning. This opening is an excellent opportunity for a computational neuroscientist who wishes to apply theoretical ideas to understand empirical data, with the opportunity to collaborate on novel paradigms to test computational models of reward learning in the brain. Interested candidates should have strong quantitative and programming skills, a background in neuroscience, psychology or cognitive science and a record of scientific contributions in an area relevant to research in the lab. Applicants should send a brief research statement, cv and the names of two academic references to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!

1 0

GRE requirements and grad school applicant numbers
by Brascamp, Jan April 29, 2024

April 29, 2024

Dear collegues at United States graduate programs, To inform our graduate program’s application policy in future years, we are trying to understand the relation between whether a graduate program requires applicants to submit GRE results, and the number of applications received. We put together a short Qualtrics survey to learn what our colleagues’ experience at other graduate programs has been in this context. If you are at a US graduate program and could save a few minutes, we would be grateful if you could fill out the survey. https://msu.co1.qualtrics.com/jfe/form/SV_7P3H69NQgtoMCXA <https://msu.co1.qualtrics.com/jfe/form/SV_7P3H69NQgtoMCXA> Thank you, Jan Brascamp

1 0

World wide VVTNS series: Wednesday, May 1st 2024 at 11am (EDT), Lorenzo Fontolan, Université Aix-Marseille| "Neural mechanisms of memory-guided behaviour"
by David Hansel April 28, 2024

April 28, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Lorenzo Fontolan Université Aix-Marseille on the topic of "Neural mechanisms of memory-guided behaviour*"* The lecture will be held on zoom on *May 1st, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Persistent, stimulus-dependent neuronal activity has been observed in numerous brain areas during tasks that require the temporary maintenance of information. Several competing hypotheses for the neuronal mechanisms underlying persistent activity have been proposed. We have employed data-driven models in conjunction with optogenetic disruptions of neural circuits within memory-guided motor tasks. Our findings revealed a mechanism governed by dynamic attractors, pivotal in sustaining neuronal activity. This mechanism, shaped by time-varying inputs reflecting temporal predictions, is instrumental in regulating the impact of sensory information on the premotor cortex, thereby preserving memory traces from distracting stimuli. We then asked how persistent activity driven by attractor dynamics emerges during motor learning. It has been proposed that activity-dependent synaptic plasticity underpins motor learning, as it can reconfigure network architectures to produce the appropriate neural dynamics for specific behaviors. To verify this hypothesis, we investigated how the mouse premotor cortex acquires specific neural dynamics that govern the planning of movement at different stages of motor learning. We developed network models that replicated the effects of acute manipulations of synaptic plasticity. The models, which display attractor dynamics, also explain flexible behavior after learning has ended. By leveraging the model's predictions, we can formulate testable hypotheses regarding the distinct mechanisms governing movement planning at various stages of the learning process. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

1 0

[Meetings] [CFP] (3nd Call) Call for Submission: NeuroDesign EXPO in HRI Student Showcase Competition at ICRA 2024 (USD $1800 in cash)
by NeuroDesign in HRI April 28, 2024

April 28, 2024

[Meetings] [CFP] (3nd Call) Call for Submission: NeuroDesign EXPO in HRI Student Showcase Competition at ICRA 2024 (USD $1800 in cash) —------------------------------------------------------------ =============================== Call for Submission =============================== NeuroDesign EXPO in HRI Student Showcase Competition ($1800 USD for your participation) 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist IEEE International Conference on Robotics and Automation (ICRA 2024) Yokohama, Japan May 17, 2024 https://neurodesign-in-hri.webflow.io/ Dear Colleagues, Are you working on a human-interactive robot project that already has prototypes or some initial research findings? Perhaps you're pondering how to evolve these into more human-centric, real-world applications with a seamless, intuitive "brain"-centered experience, aiming to connect robots more deeply with our bodies, minds, and souls. Worry not! We're excited to announce the NeuroDesign EXPO in HRI Showcase Competition at ICRA 2024, in conjunction with the NeuroDesign in HRI workshop (https://neurodesign-in-hri.webflow.io/) This event will feature a panel of world-renowned experts from diverse fields such as Human-Robot Interaction (HRI), Artificial Intelligence (AI), Cognitive Neuroscience, Social and Behavioral Psychology, Art & Design, RoboEthics, and the Startup community. These professionals will offer live, integrated-perspective feedback and recommendations to help refine your projects into more impactful research and commercial products. We invite students at the BSc, MSc, and PhD levels to submit your projects. Submissions can fall into, but are not limited to, the following categories: - Affective Computing - Social and Service Robot - Industrial Collaborative Robot - Wearable Robot/ Device - Brain-Machine/Computer Interface - Haptics and Tele-operation - Soft Robotics - VR/AR & Metaverse - Cyborg and Bionic System - Healthcare Robotics - Exoskeleton and Rehabilitation Robot - LLM and Foundation Model for Human Robot Interaction - Brain Dynamics and Psychology for Cognitive and Physical HRI (cHRI/pHRI) - Human-Drone/AutoVehicle Interaction - Assistive Technology - Intelligence Augmentation and Human 2.0 Technologies - Supernumerary Limbs - Biometric Information Processing - Pervasive-Ubiquitous/Spatial Computing - Smart Home/Internet of Things (IoTs) - Edge-Fog-Cloud Computing - Speech/Gesture Recognition or Image/Audio Processing - Big Data, AI & Machine Learning for Multimodal Interaction - Smart Tutoring/Chatbot System - RoboEthics - RoboFashion, Clothing and Robot Skin - Diversity, Equity & Inclusion (DEI) for HRI Technologies Participation Procedure: Our selection process is on a rolling basis, and we aim to choose 10 projects for the final on-stage pitch presentation. We especially encourage those who have already submitted their work as posters or papers to ICRA 2024 or have publications elsewhere to participate in our event. This competition offers a fantastic opportunity to increase the visibility of your research globally. Submission Options: Submissions can be made in one of three formats: 1. A concise 100-word abstract and a 1-2 minute video, offering a brief yet engaging overview. 2. A 100-word abstract accompanied by 5 detailed slides for a short but thorough presentation. 3. A 2-page extended abstract (Please follow IEEE ICRA format: https://ras.papercept.net/conferences/support/word.php) for a more in-depth submission. *4. Participants are also welcome to submit using any combination of the above formats. Final Round and Presentation: The selected 10 projects will each have a 5-minute pitch presentation on stage during the final round. If the final project team is unable to attend in person in Japan, we will provide a Zoom link for virtual presentation. Alternatively, you may submit a polished, pre-recorded 5-minute video presentation, which we will play on stage. Exhibition and Virtual Participation: All submitted projects will receive a dedicated booth for poster and prototype demonstrations. For participants unable to travel to Japan, we will print your posters and display them on the bulletin boards at our venue. The event is designed to be "Hybrid" to ensure that everyone has the opportunity to participate, regardless of their ability to travel to Japan. A Zoom link will be provided for your virtual participation. Awards: We are thrilled to present two distinguished award categories at the competition. The "Best Innovation in HRI NeuroDesign Award" will be awarded to 3 outstanding projects, as recognized by our panel of speakers and committee members. The *First Prize* will be awarded for USD 1000 USD and the* 2nd Prize* will be awarded 800 hundred for the prototyping. These projects will exemplify groundbreaking innovation within Human-Robot Interaction NeuroDesign. Additionally, the "Most Popular Project in HRI NeuroDesign Award" will be given to 2 projects, for which the First Prize will be awarded for “Full Waiver” for the submission to Journal of Frontiers in Robotics and AI in that capture the hearts of our workshop attendees and audience, determined through a popular vote. Winners in both categories will receive certificates acknowledging their achievements. Timeline: - Submission Deadline: Your entries must be submitted by *May 1, 2024*. Please note that our selection process is rolling, so early submissions are encouraged. - Announcement of Final Project Teams: The teams selected for the final round will be announced on May 3, 2024. - Competition Date: The competition will take place on May 17, 2024, where finalists will present their projects to the panel and attendees. Submission Website: https://forms.gle/fQMxJtkXb8JEU2WR6 If you have any questions, please don't hesitate to reach out. We're looking forward to seeing you at ICRA 2024! Best regards, Organizing Committee 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist https://neurodesign-in-hri.webflow.io/

1 0

Videos posted for AE Spring Summit on Fundamental Challenges for AI (Algorithm Developement)
by Battleday, Ruairidh April 28, 2024

April 28, 2024

------------------------------ Last week we held a Summit on the Fundamental Technical Challenges <http://www.algopreneurship.org/program> for ML/AI Development at the Computer History Museum in Palo Alto (April 15th). The videos are now available free-of-charge at the below link: https://youtube.com/playlist?list=PLA59nMLAkDyjuCkh7_6E5QSYv8ZNzXipf&si=mZo… *Keynotes* Professor Jay McClelland (Stanford / DeepMind) Professor Bin Yu (UC Berkeley) Professor Diyi Yang (Stanford) Professor Sergey Levine (UC Berkeley) *Panels* New Landscapes for AI Research New Professional Pathways Challenges for AI in Biomedicine Fundamental Challenges We hope you enjoy! The Thinking About Thinking Team <http://www.thinkingaboutthinking.org> -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

1 0

Postdoc position available at UChicago
by Jorge Jaramillo April 26, 2024

April 26, 2024

Dear Comp-Neuro community, https://neuroscience.uchicago.edu/postdoctoral-fellow-computational-neurosc… We are looking for an outstanding applicant to develop large-scale circuit models for decision making within a collaborative consortium that includes the Allen Institute for Neural Dynamics, New York University, and the University of Chicago. This ambitious NIH-funded project requires the creativity and expertise to integrate multimodal data sets (e.g., connectivity, large-scale neural recordings, behavior) into a comprehensive modeling framework. The successful applicant will join Jorge Jaramillo’s Distributed Neural Dynamics and Control Lab at the Grossman Center at the University of Chicago. The Grossman Center Core Faculty | Neuroscience Institute<https://neuroscience.uchicago.edu/grossman-center-core-faculty> Throughout the course of the postdoctoral training, there will be opportunities to visit the other sites in Seattle (Karel Svoboda) and New York (Adam Carter, Xiao-Jing Wang) for additional training and collaboration opportunities. Appointees will join as Grossman Center Postdoctoral Fellows at the University of Chicago and will have access to state-of-the-art facilities and additional opportunities for collaboration with exceptional experimental labs within the Department of Neurobiology, as well as other labs from the departments of Physics, Computer Sciences, and Statistics. The Grossman Center offers competitive postdoctoral salaries in the vibrant and international city of Chicago, and a rich intellectual environment that includes the Argonne National Laboratory and the Data Science Institute. Postdoctoral fellows will also have the possibility to work in additional projects with other Grossman Center faculty members. Application: Please send your application before May 1st 2024 as a single PDF file including: i) a CV with publications highlighted; ii) a motivation letter specifying how you can contribute to large-scale circuit modeling and data analysis based on current and previous work; iii) the contact details of two academic references to jorgejaramillo(a)uchicago.edu<mailto:jorgejaramillo@uchicago.edu>. A doctoral degree and sufficient computational background is required; informal enquiries are welcome. Starting date: The position is available immediately, starting date can be defined via mutual agreement. The University of Chicago is committed to sustaining a diverse, equitable and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status. Underrepresented minorities are strongly encouraged to apply.

1 1

SAB 2024 Paper Submission Deadline Extended to May 15th
by Jeffrey L Krichmar April 26, 2024

April 26, 2024

Dear Colleagues, Due to many requests, the submission deadline for SAB 2024 has been extended to May 15th! Because of the tight schedule, THERE WILL BE NO MORE EXTENSIONS. From Animals to Animats: 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024) More information can be found at: https://sites.uci.edu/sab2024/ CALL FOR PAPERS - SAB 2024 ------------------------------------------- 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 Artificial Intelligence, Springer Nature. Venue -------- CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Important Dates ——————————— May 15, 2024: Deadline for paper submission May 15, 2024: Deadline for Workshop and tutorial proposals June30, 2024: Notice of acceptance July 15, 2024: Camera-ready papers September 9-12: Conference dates 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://sites.uci.edu/sab2024/

1 0

[Jobs] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly April 25, 2024

April 25, 2024

Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu… <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

1 0

Postdoc in signal processing and cognitive neuroscience with ECOFEC project
by Elif Köksal April 25, 2024

April 25, 2024

*Context.* Epilepsy is a multi-causal neurological disorder affecting more than 50 million of the population worldwide. Epilepsy is known for its clinical manifestations (seizures) and subclinical manifestations (interictal epileptic discharges - IEDs -). Although subclinical*, **IEDs perturb neuroplasticity processes* by altering the physiological activity of cortical networks. *IEDs have long-term adverse effects on developing brain circuits and can cause long-term cognitive deficits in children* that negatively impact their lives as much as seizures do. Yet, one of the most recurrent questions in epilepsy neuro-pediatric clinics is whether IEDs should be treated or not. While research studies have advanced our understanding of the relation between some cognitive impairments and IEDs, their translation to clinical practice is limited due to a lack of *quantification* of the long-term relationship between interictal EEG abnormalities and cognitive functions and the *accessibility* of this information with available techniques. *Objective*. The ECOFEC (Evolution of COgnitive Functions in Epileptic Children) aims to (i) understand how the relation between the electrophysiology and neuropsychological tests evolved over the years in children with epilepsy and (ii) unveil the electrophysiological biomarkers that may lead to a IEDs and cognitive deficits treatment if there are any. *Mission*. Neuropsychological test scores and EEG recordings collected during four years of the patient’s follow up and MRI will be considered as clinical data. Low-resolution EEG analysis enhanced by machine-learning techniques will be considered to detect the biomarkers that can be related to the cognitive dysfunctions. In the first stage of the project, the post-doctoral researcher will focus on resting-state scalp EEG signals to define the intrinsic networks, detect the IEDs and define their spatiotemporal and connectivity features (e.g. IED morphology, frequency, functional connectivity etc.). All the analyses will be done in the source-space after solving the inverse problem on patient-specific anatomical models. In the second stage of the project, the interactions between the intrinsic connectivity networks and IED networks will be studied to capture network-level variations and to define whether there is a relationship between these variations and neuropsychological assessments. *Profile*. The ECOFEC project is at the interface between signal processing (EEG, independent component analysis, and inverse problem), cognitive neuroscience (neuropsychological) and clinics (epilepsy, neuropediatry). The post-doctoral fellow should have a strong background in electrophysiology, EEG analysis and processing, functional connectivity and statistical analysis. Knowledge on machine learning, cognitive neuroscience, and neuroanatomy would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology, and interact with clinicians. *Contract*. The 1-year contract is supported by the Institute of Clinical Neuroscience of Rennes (INCR, https://www.incr.fr/) starting as soon as suitable candidates are identified. *Location*. The position is located in Signal and Image Processing Labrotory (LTSI, https://ltsi.univ-rennes.fr/) Rennes, France. LTSI is affiliated to INSERM and University of Rennes. *Contact*. Applicants should send a CV and a list of two reference via e-mail to Elif Köksal-Ersöz (elif.koksal-ersoz(a)inserm.fr) and Isabelle Merlet (isabelle.merlet(a)inserm.fr) Please put [ECOFEC post-doc application] in the subject of the mail.

1 0

FENS satellite symposium "Convergence, Divergence, and Computational Optimization in Neural Circuit Evolution", 23-24 June 2024, Vienna and online
by von Behren, Christina April 24, 2024

April 24, 2024

Dear all, We would like to draw your attention to the upcoming FENS satellite symposium "Convergence, Divergence, and Computational Optimization in Neural Circuit Evolution<https://www.uni-goettingen.de/de/682787.html>" taking place in Vienna and online on June 23-24, 2024. The event is organized by SPP 2205 "Evolutionary Optimization of Neuronal Processing". You are welcome to submit a poster abstract. If you plan to attend the FENS meeting anyway, you can easily go to Vienna a few days earlier... Please register by May 20, 2024. Feel free to spread the news. Best regards, on behalf of the organizers **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-Düker-Weg 12 37073 Göttingen Tel.: +49-551-39-26675

1 0

JOB ALERT - Postdoc and research assistant positions in Cambridge
by Flavia Mancini April 24, 2024

April 24, 2024

Dear all, There are two positions available in my group at the University of Cambridge, in the Computational and Biological Learning research unit. 1 Postdoc • 2 years • Modelling neural dynamics involved in statistical/aversive learning and homeostatic/pain regulation • Scope to develop new projects https://www.jobs.cam.ac.uk/job/46142/ 1 Research Assistant • 1 year, extendible • Behavioral and neuroimaging experiments • To be advertised end April, start date asap More info: fm456(a)cam.ac.uk Many thanks! Best wishes, Flavia Mancini Assistant Professor & MRC Career Development Fellow Nox Lab / Computational Biological Learning Research Group Department of Engineering / University of Cambridge Fellow, Pembroke College

1 0

[Meetings] [CFP] Call for Submission: NeuroDesign in HRI Student Showcase Competition at ICRA 2024 (USD $1000 in cash)
by NeuroDesign in HRI April 24, 2024

April 24, 2024

[Meetings] [CFP] (2nd Call) Call for Submission: NeuroDesign EXPO in HRI Student Showcase Competition at ICRA 2024 (USD $1000 in cash) —------------------------------------------------------------ =============================== Call for Submission =============================== NeuroDesign EXPO in HRI Student Showcase Competition ($1000 USD for participation) 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist IEEE International Conference on Robotics and Automation (ICRA 2024) Yokohama, Japan May 17, 2024 https://neurodesign-in-hri.webflow.io/ Dear Colleagues, Are you working on a human-interactive robot project that already has prototypes or some initial research findings? Perhaps you're pondering how to evolve these into more human-centric, real-world applications with a seamless, intuitive "brain"-centered experience, aiming to connect robots more deeply with our bodies, minds, and souls. Worry not! We're excited to announce the NeuroDesign EXPO in HRI Showcase Competition at ICRA 2024, in conjunction with the NeuroDesign in HRI workshop (https://neurodesign-in-hri.webflow.io/) This event will feature a panel of world-renowned experts from diverse fields such as Human-Robot Interaction (HRI), Artificial Intelligence (AI), Cognitive Neuroscience, Social and Behavioral Psychology, Art & Design, RoboEthics, and the Startup community. These professionals will offer live, integrated-perspective feedback and recommendations to help refine your projects into more impactful research and commercial products. We invite students at the BSc, MSc, and PhD levels to submit your projects. Submissions can fall into, but are not limited to, the following categories: - Affective Computing - Social and Service Robot - Industrial Collaborative Robot - Wearable Robot/ Device - Brain-Machine/Computer Interface - Haptics and Tele-operation - Soft Robotics - VR/AR & Metaverse - Cyborg and Bionic System - Healthcare Robotics - Exoskeleton and Rehabilitation Robot - LLM and Foundation Model for Human Robot Interaction - Brain Dynamics and Psychology for Cognitive and Physical HRI (cHRI/pHRI) - Human-Drone/AutoVehicle Interaction - Assistive Technology - Intelligence Augmentation and Human 2.0 Technologies - Supernumerary Limbs - Biometric Information Processing - Pervasive-Ubiquitous/Spatial Computing - Smart Home/Internet of Things (IoTs) - Edge-Fog-Cloud Computing - Speech/Gesture Recognition or Image/Audio Processing - Big Data, AI & Machine Learning for Multimodal Interaction - Smart Tutoring/Chatbot System - RoboEthics - RoboFashion, Clothing and Robot Skin - Diversity, Equity & Inclusion (DEI) for HRI Technologies Participation Procedure: Our selection process is on a rolling basis, and we aim to choose 10 projects for the final on-stage pitch presentation. We especially encourage those who have already submitted their work as posters or papers to ICRA 2024 or have publications elsewhere to participate in our event. This competition offers a fantastic opportunity to increase the visibility of your research globally. Submission Options: Submissions can be made in one of three formats: 1. A concise 100-word abstract and a 1-2 minute video, offering a brief yet engaging overview. 2. A 100-word abstract accompanied by 5 detailed slides for a short but thorough presentation. 3. A 2-page extended abstract (Please follow IEEE ICRA format: https://ras.papercept.net/conferences/support/word.php) for a more in-depth submission. *4. Participants are also welcome to submit using any combination of the above formats. Final Round and Presentation: The selected 10 projects will each have a 5-minute pitch presentation on stage during the final round. If the final project team is unable to attend in person in Japan, we will provide a Zoom link for virtual presentation. Alternatively, you may submit a polished, pre-recorded 5-minute video presentation, which we will play on stage. Exhibition and Virtual Participation: All submitted projects will receive a dedicated booth for poster and prototype demonstrations. For participants unable to travel to Japan, we will print your posters and display them on the bulletin boards at our venue. The event is designed to be "Hybrid" to ensure that everyone has the opportunity to participate, regardless of their ability to travel to Japan. A Zoom link will be provided for your virtual participation. Awards: We are thrilled to present two distinguished award categories at the competition. The "Best Innovation in HRI NeuroDesign Award" will be awarded to 3 outstanding projects, as recognized by our panel of speakers and committee members. The *First Prize* will be awarded for USD 1000 USD and the* 2nd Prize* will be awarded 800 hundred for the prototyping. These projects will exemplify groundbreaking innovation within Human-Robot Interaction NeuroDesign. Additionally, the "Most Popular Project in HRI NeuroDesign Award" will be given to 2 projects, for which the First Prize will be awarded for “Full Waiver” for the submission to Journal of Frontiers in Robotics and AI in that capture the hearts of our workshop attendees and audience, determined through a popular vote. Winners in both categories will receive certificates acknowledging their achievements. Timeline: - Submission Deadline: Your entries must be submitted by April 27, 2024. Please note that our selection process is rolling, so early submissions are encouraged. - Announcement of Final Project Teams: The teams selected for the final round will be announced on May 1, 2024. - Competition Date: The competition will take place on May 17, 2024, where finalists will present their projects to the panel and attendees. Submission Website: https://forms.gle/fQMxJtkXb8JEU2WR6 If you have any questions, please don't hesitate to reach out. We're looking forward to seeing you at ICRA 2024! Best regards, Organizing Committee 2nd Workshop on NeuroDesign in Human-Robot Interaction: The making of engaging HRI technology your brain can’t resist https://neurodesign-in-hri.webflow.io/

1 0

NEXTEN Conference deadline May 1st
by Goodhill, Geoffrey April 22, 2024

April 22, 2024

NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024, Washington University in St Louis Full program now available: https://nexten.wustl.edu/program Final registration deadline is May 1st (or earlier if capacity is reached). Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) ShiNung Ching (WashU) Naoki Hiratani (WashU) Adam Kepecs (WashU) Barani Raman (WashU) Gaia Tavoni (WashU) Please direct any questions to ctcn(a)wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

1 0

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

April 22, 2024

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

1 1

HNN Virtual Workshop, May 8th – Limited Places Available
by Paolo Lenotti April 19, 2024

April 19, 2024

Hi all, We would like to invite you to a virtual workshop on the Human Neocortical Neurosolver (HNN) <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…>, jointly organized by the Stephanie Jones Lab and MetaCell, scheduled for May 8th. The workshop is aimed at researchers and clinicians with an interest in neuroscience but without formal computational modeling or coding experience. It will offer a detailed exploration of HNN, a tool designed to interpret the neural origins of human MEG/EEG data. *Workshop Highlights:* - Comprehensive Overview: The workshop will begin with a didactic presentation on the background and development of HNN, providing a foundation for its application in neuroscience research. - Practical Application: Participants will learn how to utilize the HNN graphical user interface (GUI) to investigate the circuit origins of commonly measured signals, including event-related potentials (ERPs) and low-frequency brain rhythms. - Advanced Interface Training: Discover how to use the HNN-core Python interface. *Registration Information:* The workshop will take place online on Wednesday, May 8th from 9am to noon ET. The number of participants will be limited to ensure a productive learning environment. Given the specialized nature of this workshop, we anticipate high interest. To secure your participation, we recommend signing up as soon as possible. A registration fee of $25.00 is required to help us cover the costs of organizing the event. Register here >> <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…> *About the Workshop Content:* MEG/EEG signals are critical to our understanding of both healthy and pathological brain functions, but interpreting these signals at the cellular and circuit levels remains challenging. The HNN software was developed to address this challenge, providing both a graphical and a programmable Python interface to an anatomically detailed model of neocortical circuits. The workshop will offer practical tutorials to guide participants through the process of using HNN to explore the origins of sensory ERPs and low-frequency brain rhythms. We look forward to your participation in this workshop, which promises to be an enriching experience for those looking to enhance their skills in computational neuroscience and the interpretation of MEG/EEG data. Click here to find out more and save your place >> <https://cgR8v04.na1.hs-sales-engage.com/Ctc/OM+23284/cgR8v04/JkM4YGXpW6N1X8…> Best regards, Paolo Lenotti on behalf of MetaCell & the Stephanie Jones Lab -- *Paolo Lenotti* www.MetaCell.us <http://www.metacell.us/> +44 (0)7450 948685 Boston, MA | Oxford, UK | Cagliari, ITA

1 0

[Arabs in Neuroscience] Introduction to Computational Neuroscience online summer school 2024
by Mohamed Abdelhack April 18, 2024

April 18, 2024

Arabs in Neuroscience is pleased to announce the third iteration of the Introduction to computational neuroscience summer school in 2024. The school is dedicated to fill the interdisciplinary gap in many education systems by gathering students from biological and computational backgrounds and introducing topics essential for computational neuroscientists such as python programming, neurobiology, calculus, statistics and linear algebra. The school is also dedicated to cater to non-native English speakers in the Arabic-speaking countries which is why the language of instruction is in Arabic. The school is supported by the generous funding from Simons Foundation. Details: School dates: August 11-30 2024 Application deadline: May 7, 2024 We are currently opening the applications for students and teaching assistants. Please apply and also share it with your network. More information and application here: https://www.arabsinneuro.org/school/ Also, if you support our mission of democratizing science and education, please consider donating to Arabs in Neuroscience: https://www.arabsinneuro.org/donate/ Best regards,Mohamed Abdelhack

1 0

Call for Abstracts for the Bernstein Conference 2024
by Alexander Lammers April 18, 2024

April 18, 2024

Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ 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 29 – October 2, 2024 * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST ____ 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/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Alison Barker (Max Planck Institute for Brain Research, Germany) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

Postdoc with human EMG experience
by Harel, Noam April 17, 2024

April 17, 2024

We are looking for a new postdoc with some experience with human surface EMG, neuromodulation, and motor function. Our lab in New York City focuses on improving lives for people with spinal cord injury and amyotrophic lateral sclerosis. Please check our website: https://labs.icahn.mssm.edu/harellab/ Expected starting salary $75-80k. Also, please be on the lookout for potentials when you attend upcoming meetings, and feel free to forward this email to other labs/people. Thanks, Noam Harel Noam Y. Harel, MD, PhD Staff Physician James J. Peters VA Medical Center Associate Professor Departments of Neurology and Rehabilitation & Human Performance Icahn School of Medicine at Mount Sinai 718-584-9000 x1742 718-741-4675 (fax) Pronouns: he, him, his https://labs.icahn.mssm.edu/harellab/

1 0

FLUX workshop -- deadline extended
by Qiaoyu Chen April 17, 2024

April 17, 2024

Toolkit in Using the FLUX Pipeline for MEG Research Join us for an immersive learning experience using the FLUX pipeline for MEG data analysis Toolkit at the Centre for Human Brain Health at the University of Birmingham from 11th -14th June 2024. The FLUX pipeline<https://www.neuosc.com/single-project>, is an approach for analysing Magnetoencephalography (MEG) data using state-of-of-the art approaches and standards. Whether you are a newcomer to research using MEG or a healthcare professional integrating MEG into clinical practice, this course is designed to elevate your skills and advance your research capabilities. · Gain practical skills: Learn to streamline data preprocessing, event-related field spectral analysis, source modelling, multi-variate pattern analysis and reporting using the FLUX pipeline. This pipeline is based on the widely used MNE-Python toolbox. · Enhance research practices: Learn the embraces practices for data curation (BIDS), reproducible research, open science, and standardized reporting empowering you to publish reliable and transparent findings. · Cognitive Neuroscience and Clinical research: Learn how the FLUX pipeline is used in our MEG research projects. · Engage in interactive learning: Connect with world-leading experts and fellow attendees in discussions, exercises, and networking opportunities, fostering valuable collaborations and knowledge exchange. Application (pre-registration) deadline: 20th April 2024, 11:59 pm (GMT) Join us at the Centre for Human Brain Health for the FLUX toolkit course<https://www.neuosc.com/flux-toolkit>! For pre-registration, please visit https://www.neuosc.com/pre-registration. Contact us at q.chen.5(a)bham.ac.uk<mailto:q.chen.5@bham.ac.uk> for further details. Best regards, the Organizing Committee

1 0

Postdoctoral and graduate student opportunities - Resilience and diversity of complex biological networks - Lefebvre lab at uOttawa
by J?r?mie Lefebvre April 16, 2024

April 16, 2024

Postdoctoral and graduate student opportunities - Resilience and diversity of complex biological networks - University of Ottawa, Ottawa, Canada Application Deadline: May 1st 2024 The Lefebvre<https://www.uottawa.ca/faculty-science/professors/jeremie-lefebvre> and Kharouba<https://www.uottawa.ca/faculty-science/professors/heather-kharouba> labs are seeking candidates to fill ONE Postdoctoral and ONE PhD (Theoretical Biology, Physics) fully funded positions to explore how resilience and heterogeneity influences the dynamics of complex biological networks. These interdisciplinary projects will combine mathematical (e.g., dynamical systems, spectral theory), computational (e.g., data-informed simulations) approaches used in neuroscience and other complex systems fields to study how diversity contributes to the stability and resilience of brain function(s). The overall objective of the projects is to better understand the role played by heterogeneity in the genesis of critical events (e.g., seizures) and identify potential intervention strategies. The successful candidate will join the Lefebvre and Kharouba labs in the Departments of Biology and Physics at the University of Ottawa, as well as an extensive network of existing experimental and clinical collaborations with both internal and external groups. The research will be conducted in the uOttawa Bioscience Complex, a teaching and research hub hosting dozens of state-of-the-art experimental and computational interdisciplinary research facilities in downtown Ottawa, Canada. Successful candidates will be immersed in a highly interdisciplinary environment, with access to many additional training and networking activities, and be associated with Centre for Neural Dynamics, the Ottawa-Carleton Institute of Biology, the uOttawa Brain and Mind Institute as well as the Krembil Brain Institute. Details Postdoctoral position: as early as July 1st 2024 PhD position: September 1st 2024. Position Description: Trainees will be expected to work in-person for most of the position. Trainees will be expected to participate in the lab's scholarly activities (i.e., workshops, meetings), and to support other lab member's work whenever applicable. We expect from applicants to demonstrate the ability to work respectfully with others in teams to carry out project goals and contribute to an inclusive lab environment. Additional details of the projects will be provided during the interview process. Please don't hesitate to reach out at Jeremie.Lefebvre [at] uottawa.ca for any questions. Requirements The ideal candidates are expected to possess strong mathematical, computing, writing and presentation skills, and express a vivid interest in computational neuroscience, applied mathematics, computational biology and biophysics. Applicants must meet the required qualifications for admission to graduate/postgraduate studies at the University of Ottawa, and comply to international regulations regarding traveling, studying and working in Canada whenever applicable. Successful candidates must be eligible to work in Ontario as of July 1st 2024 (or at a mutually agreed date) Funding Postdoctoral position: This position is fully funded for 2 years (July. 2024 - June. 2026, or mutually agreed date) with a stipend of $48,000 CAD per year plus benefits. PhD position: This position is fully funded for 4 years (Sept. 2024 - Aug. 2028) with a stipend of $30,000 CAD per year, including teaching assistantship duties. The successful candidate will be eligible to apply for Teaching Assistant (TA) positions and/or other scholarships, such as entrance scholarships. Accommodations and Accessibility: Should you require a copy of this posting in an alternate format, please contact us as soon as possible and we would be happy to get one to you in a timely manner. We believe in the importance of supporting on the-job success for the incumbent and are pleased to discuss and/or provide specific tools, resources, or other requirements for day-to-day work requirements, as needed. How to Apply :Interested candidates are invited to submit their application by May 1st 2024 to Jeremie.Lefebvre[at]uottawa.ca, using the subject "Resilience position". In your dossier, please include: 1. A cover letter stating your interest and explaining why you are a good candidate for this position, and specify clearly which position (Postdoc, PhD) you are applying for 2. up to date CV including a list of publication, if applicable 3. Contact information for 2 references Applications will be reviewed until the position is filled. Only candidates selected for an interview will be contacted. Jeremie Lefebvre

1 0

NEST Conference 2024 - Extension of abstract submission deadline
by Hans Ekkehard Plesser April 16, 2024

April 16, 2024

Dear all, The abstract submission deadline for the NEST Conference 2024 has been extended to 30 April. We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 17/18 June 2024. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference Important dates 26 April 2024 - Deadline for NEST Initiative membership applications eligible for fee reduction 30 April 2024 - Extended deadline for submission of contributions 08 May 2024 - Notification of acceptance 07 June 2024 - Registration deadline 17 June 2024 - NEST Conference 2024 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

1 0

Phd and Postdoc positions on computational neuroscience in Peking University
by Guozhang Chen April 16, 2024

April 16, 2024

In school of computer science, Peking University, we are inviting applications for a few PhD and PostDoc positions focusing on the exciting intersection of neuroscience and artificial intelligence. The selected candidate will collaborate with our team to reverse-engineer the brain (cortical and subcortical structures) in multi-scale, data-based models, exploring its working mechanisms, dynamics, and learning capabilities with respect to generalization. Please refer ifgovh.github.io for more details. This research will build upon foundational work such as: - Chen, Guozhang, Franz Scherr, and Wolfgang Maass. "[Data-based large-scale models provide a window into the organization of cortical computations](https://www.biorxiv.org/content/10.1101/2023.04.28.538662v3.a…." bioRxiv (2023): 2023-04. - Chen, Guozhang, Franz Scherr, and Wolfgang Maass. "[A data-based large-scale model for primary visual cortex enables brain-like robust and versatile visual processing](https://www.science.org/doi/full/10.1126/sciadv.abq7592)." Science Advances 8.44 (2022): eabq7592. - Chen, Guozhang, and Pulin Gong. "[A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns.](https://www.science.org/doi/full/10.1126/sciadv.abl4995)" Science Advances 8.16 (2022): eabl4995. - Chen, Guozhang, and Pulin Gong. "[Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing.](https://www.nature.com/articles/s41467-019-12918-8)" Nature communications 10.1 (2019): 4915. In addition, depending on the interest, candidates will engage in the development of brain-inspired architectures and algorithms for AI, as well as for highly energy-efficient neuromorphic hardware. ## Qualifications - A strong motivation for understanding "how the brain works". - A strong background in computer science, computational neuroscience, physics, robotics, or related fields. - Proficient skills in mathematics/theory and programming. - An excellent academic record, demonstrated research potential. - Intermediate to advanced English reading, communicating and writing skills. ## How to Apply Interested candidates should submit the following: - A detailed CV. - A brief personal statement (explaining your movtivation and plan). - Academic transcripts. - Names of referees. - Links to thesis, publications, and any other relevant documents. Please send your application with a tile "phd position application" or "postdoc position application" to: guozhang.chen [at] pku.edu.cn -- Regards, Guozhang

1 0

Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project
by Jaroslav Hlinka April 15, 2024

April 15, 2024

*Postdoc/Junior researcher positions in Computational Neuroscience within the BRADY project* Several postdoctoral positions are available in the *Complex Networks and Brain Dynamics group (COBRA) at the Institute of Computer Science, Prague (Czech Republic)*. These positions are part of a larger, interdisciplinary consortium that was recently recommended for funding (OPJAK BRADY). The project topics include: *Topic 1*: Detailed biophysical modelling of neurotransmitter action (supervised by Pavel Sanda). *Topic 2*: Computationally efficient mean-field models of cortical microcircuits (supervised by Helmut Schmidt). *Topic 3*: Whole-brain dynamics with applications particularly to schizophrenia and Parkinson's disease (supervised by Gustavo Deco). *Topic 4*: Data-driven model inversion and personalized parameter identification (supervised by Nikola Jajcay). *Topic 5*: Modelling interventions into arousal dynamics (supervised by Jaroslav Hlinka). Other related topics may be considered based on their fit to the overall project. Further information can be found here: https://cobra.cs.cas.cz/brady. 1. Conditions * Positions are available immediately. * Contract is for 12-36 months duration. * Possibility of extension until end of project (30.6.2028), support for transition to tenure-track or external funding applications. * Applications will be reviewed on a rolling basis, until the positions are filled. * This is a full-time fixed term contract appointment. Part time contract negotiable. * Competitive monthly gross salary: 50 000 - 66 000 CZK based on qualifications and experience (net salary approx. 40 000 - 52 000 CZK). _Cost Of Living Comparison <http://www.numbeo.com/cost-of-living/comparison.jsp>_ * Bonuses and travel funding for conferences and research stays depending on performance. * No teaching duties. * Applicants should: 1. Hold a PhD; up to 7 years from PhD defense at the start of employment. 2. Have a strong background in the fields related to computational neuroscience - mathematical, statistical skills, experience with data analysis, machine learning, computer programming (the exact combination depends on the particular topic, see above). 3. Be fluent in English. * *We seek curious, self-motivated, hard-working, team-spirited researchers.* * *Prior experience with time series and network analysis is advantageous, but not required. * * The applications are to be sent to bradyadmin(a)cs.cas.cz <mailto:bradyadmin@cs.cas.cz>and should contain: 1. Curriculum Vitae. 2. Two letters of recommendation. The referees should send their recommendations directly to bradyadmin(a)cs.cas.cz. 3. A proof of the obtained degree. 4. Mention the *Ref. No. 2024/4*. *Do not hesitate to contact the project Scientific Coordinator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/. * -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz

1 0

ERRATUM: EITN Fall School in Computational Neuroscience 2024: Applications are now open!
by DEPANNEMAECKER Damien April 15, 2024

April 15, 2024

Erratum: Due to technical issue the email address previously announced is not working, please send your application at: eitnfs2024(a)protonmail.ch EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)protonmail.ch You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact <mailto:eitnfs2024@groups.emdesk.com> eitnfs2024(a)protonmail.ch for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France) Egidio D’Angelo (University of Pavia, Italie) Michele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson (AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker (AMU, Marseille France) Huifang Wang (AMU, Marseille France) .... ________________________________

1 0

Share Your Expertise: Submit Your Work at COMPLEX NETWORKS 2024 in Istanbul
by Hocine Cherifi April 15, 2024

April 15, 2024

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *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 PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey) Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

1 0

LOD 2024 1st Call for papers: 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Submission Deadline: April 23
by Giuseppe Nicosia April 15, 2024

April 15, 2024

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks. -- The 10th International Conference on Learning, Optimization and Data - LOD 2024, 22-25 September, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy LOD 2024, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders https://lod2024.icas.events/ lod(a)icas.cc SATELLITE EVENTS: 2nd International Meeting on Foundation Models - IMFM2024 https://lod2024.icas.events/imfm2024/ 1st Workshop AI in Life Sciences - WAILS2024 https://lod2024.icas.events/wails2024/ 24 TRACKS: https://lod2024.icas.events/tracks/ PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2024 *Paper Submission deadline: April 23 (Anywhere on Earth)* CALL FOR PAPERS: https://lod2024.icas.events/call-for-papers/ Please prepare your paper using the Springer Nature - Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2024, authors are required to select one of the following three types of papers: * long paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * short paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings; * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference; LOD 2024 KEYNOTE SPEAKERS: Vivek Natarajan, Google Health AI, San Francisco Bay Area, CA, USA "How LLMs might accelerate biomedical discovery and help scale world class healthcare to everyone" Johannes Schmidt-Hieber, University of Twente, The Netherlands "Towards a statistical foundation for machine learning methods" Michal Valko, Google DeepMind Paris, INRIA & École Normale Supérieure Paris-Saclay, France "Fine Tuning Large Language Models & Gemini" https://lod2024.icas.events/keynote/ PAST LOD KEYNOTE SPEAKERS: https://lod2023.icas.cc/past-keynote-speakers/ BEST PAPER AWARD: Springer sponsors the LOD 2024 Best Paper Award with a cash prize of 1,000 Euro. https://lod2024.icas.events/best-paper-award/ PROGRAM COMMITTEE: 150+ confirmed PC members! https://lod2024.icas.events/program-committee/ VENUE: https://lod2024.icas.events/venue/ The venue of LOD 2024 will be Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany - Italy. LOD 2024 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://lod2024.icas.events/activities/ Submit your research work today! https://easychair.org/conferences/?conf=lod2024 See you in the beautiful Tuscany in September! Best regards, LOD 2024 Organizing Committee. Past Editions: https://lod2024.icas.events/past-editions/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ https://lod2024.icas.events/ lod(a)icas.cc LOD2024 Poster: https://lod2024.icas.events/wp-content/uploads/sites/27/2023/11/LOD-2024-po… * Apologies for multiple copies. Please forward to anybody who might be interested * --

1 0

World wide VVTNS series: Wednesday, April 17 at 11am (EDT), Tim O'Leary University of Cambridge|Flip flops and toggles for effective decision making in neural circuits
by David Hansel April 14, 2024

April 14, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Tim O'Leary University of Cambridge on the topic of "Flip flops and toggles for effective decision making in neural circuits*"* The lecture will be held on zoom on *April 17, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Neural computation is inextricably bound to decisions that must be made under time pressure and uncertainty. At the level of neural circuits, single neurons need to decide whether to spike. On longer timescales, the component circuitry needs to decide whether to reconfigure to store memories and adapt to novel situations. In this talk I will focus on two fun ideas in each of these contexts by showing how nonlinearities in neural components naturally form excitable switches that enable reliable decisions to be made in fluctuating environments. I will also issue propaganda that the kind of high level, cognitive faculties that we normally associate with decision making apply equally well and are understudied at the level of neural and synaptic populations. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - ᐧ

1 0

PhD Opportunity in AI and Neuroscience, Bordeaux, Deadline: April 23rd
by Xavier Hinaut April 11, 2024

April 11, 2024

We are offering a PhD topic that bridges large language models with neuroscience. **Deadline for application: no later than April 23rd** Location: Bordeaux NeuroCampus (France) Laboratories: Inria & Neurological Diseases Insitute This project aims to explore the adaptation of large language models (LLMs), such as ChatGPT, to study their potential in understanding human language and identifying associated pathologies. By focusing on advanced neurocomputational models and the use of functional MRI, this work aims to decipher linguistic representations and their individual variations, particularly in pathological contexts such as dyslexia. We are seeking a candidate with an interdisciplinary research mindset, combining a strong interest in cognitive neuroscience with a solid proficiency in machine learning. The candidate should have a good command of Python scientific libraries (numpy/scipy) and be comfortable with mathematical/statistical concepts, in addition to proficiency in technical English. The project will take place in a dynamic and collaborative research environment linked to the Inria Exploratory Action project "BrainGPT", with access to imaging methods such as MRI and intensive computing clusters. The expected results have the potential to transform our understanding of the neural bases of language and open new avenues for personalized education and language pathology treatment. Applications must be submitted as soon as possible and no later than *April 23rd*, with the thesis expected to begin on October 1st, 2024. To apply, please send your CV, a cover letter, your academic transcripts since high school, and letters of recommendation to these two email addresses: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr For more information (please disregard the deadline mentioned in the link): https://adum.fr/as/ed/voirproposition.pl?matricule_prop=55386 or informally via email: gael.jobard(a)u-bordeaux.fr & xavier.hinaut(a)inria.fr 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

1 0

Sleep spindles in hippocampal axons
by Gregory J Brewer April 10, 2024

April 10, 2024

We are pleased to announce our latest publication out today in Scientific Reports, Spindle oscillations in communicating axons within a reconstituted hippocampal formation are strongest in CA3 without thalamus. (open access) https://link.springer.com/article/10.1038/s41598-024-58002-0?utm_source=rct… Grace to you, Greg Gregory J. Brewer, Ph.D., Professor University of California Irvine, Dept Biomedical Engineering 92697-2715 Institute for Memory Impairment and Neurological Disorders (MIND) Center for Neurobiology of Learning and Memory (CNLM) AGE Fellow of the American Aging Association Nat. Sci, 2, Office Rm 3101, Lab 3432 GJBrewer(a)uci.edu<mailto:GJBrewer@uci.edu>, 217-502-4511 http://brewer.eng.uci.edu/

1 0

New on the van Vreeswijk Theoretical Neuroscience Seminar (VVNTS) website and YouTube channel
by David Hansel April 10, 2024

April 10, 2024

[image: VVTNS.png] > > <https://streaklinks.com/B7FpUrTOTmFafqa5pAf069mO/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > New on the VVTNS website and YouTube channel Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity talk given on April 10, 2024 by Michael Buice Allen Institute https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

1 0

New virtual colloquium series: Brains in Space
by Vinita Samarasinghe April 10, 2024

April 10, 2024

On behalf of Sen Cheng, Sandhiya Vijayabaskaran and Laurenz Wiskott from the Institute of Neural Computation, Faculty for Computer Science, Ruhr University Bochum, I invite you to attend a new colloquium series "*Brains in Space: An Interdisciplinary Research Colloquium on Spatial Navigation*". In this colloquium, speakers will present their research in various areas of spatial navigation, including behavioral, neuroscientific, and theoretical approaches. The goal is to foster interdisciplinary discussions along the lines of the review article "A Map of Spatial Navigation for Neuroscience" (Parra-Barrero et al., 2023) that proposes a taxonomy of spatial navigation processes in mammals. The talks will cover a diverse range of topics, from the neural underpinnings of navigation to complex navigation behaviors. Attendees will gain a better understanding of how the mammalian brain represents and navigates through space, as well as learn about several cognitive processes such as learning and memory through the lens of spatial navigation. The colloquium takes place virtually on Tuesday's from 16:00 to 17:30 (CEST) and the complete schedule can be found at https://www.ini.rub.de/teaching/courses/colloquium_brains_in_space_an_inter… . The first talk is on April 16th 2024. *Confirmed speakers:* Elizabeth Chrastil, Marko Nardini, Laure Rondi-Reig, Denis Sheynikhovich, Aaron Wilber, Sandhiya Vijayabaskaran, Francesca Sargolini and Eloy Parra Barrero. This colloquium is open to the public. Please feel free to forward this information to any of your colleagues who may be interested. *Zoom link*: https://ruhr-uni-bochum.zoom.us/j/68766911124?pwd=MFErK284UmN5V25wZzd5L1FCa… We look forward to seeing you. Kind regards, -- 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

1 0

EITN Fall School in Computational Neuroscience 2024: Applications are now open!
by DEPANNEMAECKER Damien April 10, 2024

April 10, 2024

EITN Fall School in Computational Neuroscience 2024 <https://eitnschool2022.sciencesconf.org/> Marseille, 16-25 October 2024 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work. The course is typically aimed at PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors. The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated with these topics. Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings and on Sunday to visit Marseille How to apply? This training has a limited capacity of 28 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 09 June 2024. Application: a one-page CV, a motivation letter to explain why you would like to attend this course, and a recommendation letter. The file names must start with your name (e.g., NAME_CV.pdf, etc....). Send your application by email at eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> You will receive a confirmation your application has been received within 5 working days (or on the day the application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitnfs2024(a)groups.emdesk.com<mailto:eitnfs2024@groups.emdesk.com> for any questions or assistance. This training is designed to be attended in person in Marseille. It will not be recorded nor accessible remotely. Organizers: Damien Depannemaecker (AMU), Alain Destexhe (CNRS), Viktor Jirsa (AMU) Preliminary list of Faculty and Speakers: Viktor Jirsa (AMU, Marseille France)` Alain Destexhe (NeuroPSI, Paris, France)) Sacha Van Alba (Research Centre Jülich and University of Cologne, Allemagne) Egidio D’Angelo (University of Pavia, Italie) Michaele Migliore (National Research Council, Palerme, Italie) Andrea Brovelli (AMU, Marseille France) Matthieu Gilson(AMU, Marseille France) Marja-Leena Linne (Tempere University, Finlande) Spase Petkoski (AMU, Marseille France) Damien Depannemaecker(AMU, Marseille France) HuifangWang (AMU, Marseille France) ...

1 0

[CFP] Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - ESANN 2024 - Deadline 02 May
by Jaime Andres Riascos Salas April 10, 2024

April 10, 2024

CALL FOR PAPERS CFP – SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) Paper Submission Deadline: 2 MAY 2024 EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Contact Special Session: jariascos(a)correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the following topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: Paper submission deadline: 2 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANISERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines

1 0

Survey regarding large-scale neuroimaging datasets
by Eline Kupers April 9, 2024

April 9, 2024

Dear all, In recent years, we have seen an increase in the usage, acquisition, and open sharing of rich, large-scale neuroimaging datasets. This is an exciting development in human neuroscience and suggests that we are entering a new era of big open data. To understand users' experiences with current large-scale datasets as well as needs for future datasets, we invite you to this anonymous survey. The survey is anonymous to ensure that we get honest opinions. We welcome participation from all researchers regardless of their experience and/or background. You can find the survey here: https://umn.qualtrics.com/jfe/form/SV_6fAxIDk3pYdwC6W This survey will take approximately 10-15 minutes to complete and closes on *May 15, 2024*. Eline Kupers & Kendrick Kay

1 0

Ph.D. Positions in Computational Neuroscience in Padova
by Samir Suweis April 9, 2024

April 9, 2024

Dear colleagues, I would like to share with you the opening of the official call for the PhD program in Neuroscience hosted at the "Padova Neuroscience Center". This is a unique opportunity for young researchers to join a vibrant, active and interdisciplinary community of international faculty and to perform cutting-edge research in Neuroscience. The call offers 10 fully funded PhD positions with more than 45 research lines in diverse neuroscience fields, like Circuits & Systems, Cognitive, Affective, Behavioral, Computational Neuroscience, Neuroimaging, Translational and Clinical Neuroscience. This is is an incredible opportunity for aspiring neuroscientists to dive into a dynamic and multidisciplinary field, collaborating with more than 35 distinguished faculty members from 7 academic departments. Program Highlights: Deadline for Applications: 13th May 2024, 1 pm CET Interviews Scheduled: 28th May - 20th June 2024 Research Areas: The program covers five main lines: Multimodal Neuroimaging Methods Circuit and Systemic Neuroscience Cognitive, Affective, and Behavioral Neuroscience Translational and Clinical Neuroscience Computational Neuroscience Facilities and Support: Gain access to our in-house preclinical, PET, MRI, and EEG facilities. Benefit from superb computing, administrative, and technical supports. Duration: A comprehensive 3-year program. The University of Padova is not just a hub of academic excellence but also lies in the heart of a vibrant city known for its history, culture, and lively university atmosphere. Padova offers a unique blend of ancient heritage and modern innovation, making it an ideal place for both study and exploration. Don't miss this chance to step into the world of neuroscience research in one of Italy's most historic and dynamic university cities. We encourage all interested candidates to apply before the deadline and join us in this exciting journey of discovery and learning. For more details and application procedures, please visit our website https://pnc.unipd.it/admission <https://pnc.unipd.it/admission>. Best regards, Samir Suweis ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

1 0

Postdoc vacancy DBS modelling
by Bernadette van Wijk April 9, 2024

April 9, 2024

Dear (future) post-docs, Our vacancy for a post-doc position in Amsterdam on the biophysical modelling and optimisation of deep brain stimulation treatment for Parkinson’s disease is still open until April 15: https://workingat.vu.nl/vacancies/post-doc-position-amsterdam-1065164?utm_c… Deep brain stimulation (DBS) is an undeniable clinical success in the treatment of movement disorders such as Parkinson’s disease. Yet, DBS exhibits a large outcome variability in individual patients and patients might suffer from stimulation-induced side effects. The sophistication of DBS systems is far ahead of the present understanding and clinical exploitation of the available stimulation features offered by the technology. Finding the right frequency, amplitude, and pulse width settings for an individual patient can be a cumbersome process. Within our European research consortium (Amsterdam, Luxembourg, Uppsala, Berlin), we aim to optimize DBS treatment through biophysical and statistical modelling, with a strong focus on electrophysiology (local field potential recordings) in Amsterdam. We are looking for a postdoc who could contribute to one or more of the following research aims: 1) localizing spatial origins of LFP oscillations through inverse source modelling; 2) biophysical modelling of the effect of stimulation on electrophysiological activity; 3) applying optimization algorithms for optimal navigation through the stimulation parameter landscape. You are expected to take initiative in conducting the work and to present the project’s outcomes in scientific papers and at international conferences. There is an opportunity to supervise student projects, participate in data collection, and to take part in working visits to partners in the consortium. The work in this project will be conducted in close collaboration with the DBS Neurology group at the Amsterdam University Medical Centers location AMC. You are expected to regularly visit the AMC hospital for attending research meetings and to conduct parts of your work, as appropriate. The project will be supervised by Dr. Bernadette van Wijk (VU University Amsterdam) and Dr. Martijn Beudel (Amsterdam University Medical Centers). Please consider applying if you’re interested. Kind regards, Dr. Bernadette van Wijk Department of Human Movement Sciences Vrije Universiteit Amsterdam The Netherlands

1 0

NEST Conference 2024 - reminder for abstract submission deadline on 15 April 2024
by Hans Ekkehard Plesser April 9, 2024

April 9, 2024

Dear all, The abstract submission deadline for the virtual NEST Conference 2024 is approaching (15 April 2024). We are looking forward to your contributions! The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 17/18 June 2024. We are inviting contributions to the conference, including talks, "posters" and workshops on specific topics. Important dates 15 April 2024 - Deadline for submission of contributions 26 April 2024 - Deadline for NEST Initiative membership applications eligible for fee reduction 08 May 2024 - Notification of acceptance 07 June 2024 - Registration deadline 17 June 2024 - NEST Conference 2024 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

1 0

Postdoc positions in Cognitive Neuroscience, Computational Psychiatry and Developmental Psychology, University of Tuebingen, Germany
by Susan Fischer April 9, 2024

April 9, 2024

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

1 0

Online workshop: Dendritic computation, synaptic plasticity & molecular mechanisms
by O'Donnell, Cian April 8, 2024

April 8, 2024

Please join us for our free, online and global workshop on 22/23/25 April 2024 on: Dendritic computation, synaptic plasticity & molecular mechanisms One of the workshop goals is to try to bring together computational and experimental researchers working on molecular mechanisms of neurons. Each session is in a different time window to help reach people in different parts of planet earth: 9-13h CET Monday 22nd April 15-19h CET Tuesday 23rd April 17-21h CET Thursday 25th April Schedule, speaker list, and registration link at: http://tchumatchenko.de/Workshop/workshop_homePage.html Current speakers * Haruhiko Bito, University of Tokyo, Japan * Brenda Bloodgood, University of California San Diego, USA * Spiros Chavlis, IMBB-FORTH, Greece * Julijana Gjorgjieva, Technical University of Munich, Germany * Seth Grant, University of Edinburgh, United Kingdom * Anne-Sophie Hafner, Donders Centre for Neuroscience, Netherlands * Sybille Krauss, Naturwissenschaftlich-Technische Fakultät Universität Siegen, Germany * Boaz Mohar, HHMI's Janelia Research Campus, USA * Cian O'Donnell, Ulster University, United Kingdom * Thomas Oertner, Center for Molecular Neurobiology Hamburg Germany * Silvio Rizzoli, Universitätsmedizin Göttingen, Germany * Erin M. Schumann, MPI for Brain Research Frankfurt, Germany * Walter Senn, University of Bern, Switzerland * Jason Shepherd, University of Utah, USA * Tatjana Tchumatchenko, University Clinic Bonn, Germany * Noam Ziv, Technion-Israel Institute of Technology, Israel Short talks by * Cornelius Bergmann, University Clinic Bonn, Germany * Edita Bulovaite, University of Edinburgh, United Kingdom * Arno Granier, University of Bern, Switzerland * Sofia Raak, University of Bristol, United Kingdom * Annika Reisbitzer, Naturwissenschaftlich-Technische Fakultät Universität Siegen, Germany Best, Tatjana Tchumatchenko & Cian O’Donnell 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

1 0

CFP: Workshops in conjunction with FRCCS 2024, Montpellier, France May 28, 2024
by Hocine Cherifi April 8, 2024

April 8, 2024

We encourage researchers to participate in the FRCCS 2024 <https://iutdijon.u-bourgogne.fr/ccs-france/> workshops to share their insights and foster interdisciplinary collaborations in the study of complex systems. *Workshops* · Modeling Cities and Regions as Complex and Evolving Systems · Beauty in Complexity · Network Sparsification & beyond *Important dates* Submission Deadline: *April 14, 2024* Final Decisions Released:* April 17, 2024* Camera-Ready Deadline: *April 30, 2024* *1) **Modeling Cities and Regions as Complex and Evolving Systems* <https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-…> Cities consist of interacting entities, such as people and infrastructure, and exhibit emergent properties, which appear additionally to the sum of the isolated properties. This makes cities a prime example of complex systems. Accordingly, complexity theories and methods are particularly relevant to their study. By focusing on the commonalities that underpin urban systems, the workshop seeks to foster interdisciplinary dialogue and explore novel approaches to studying cities as complex entities. *More info at: * *https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-regions-as-complex-and-evolving-systems/* <https://iutdijon.u-bourgogne.fr/ccs-france/workshop-on-modeling-cities-and-…> *Workshop chair* *Daniela Cialfi - NRCouncil of Italy - **danielacialfi(a)gmail.com* <danielacialfi(a)gmail.com> *2) **Beauty in Complexity* <https://iutdijon.u-bourgogne.fr/ccs-france/beauty-in-complexity/> The Beauty in Complexity exhibition invites researchers to share the visual wonders of their work with a wide and diverse audience. Whether it's a photograph, diagram, visualization, or montage, we encourage submissions that evoke curiosity and wonder. We seek captivating visuals showcasing the beauty found within complex systems research. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/beauty-in-complexity/ *Workshop chairs* Benjamin Renoust - *Median Technologies,- **renoust@gmail* <benjamin.renoust(a)mediantechnologies.com> *.com *Arnaud Sallaberry - *LIRMM *- *arnaud.sallaberry(a)lirmm.fr* <arnaud.sallaberry(a)lirmm.fr> *3) **Network Sparsification & beyond* <https://iutdijon.u-bourgogne.fr/ccs-france/complex-network-sparsification/> Numerous algorithms are designed to construct simpler or smaller network representations to address scalability and performance issues. This workshop aims to bring together researchers working on the broad theme of network simplification and discuss graph reduction methods and their applications. More info at: https://iutdijon.u-bourgogne.fr/ccs-france/complex-network-sparsification/ *Workshop chairs* Hamida Seba -* University Lyon 1- **Hamida.seba(a)univ-lyon1.fr* <Hamida.seba(a)univ-lyon1.fr> Hocine Cherifi* - University of Burgundy - **hocine.cherifi(a)u-bourgogne.fr* <hocine.cherifi(a)u-bourgogne.fr> Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

1 0

PhD funded application
by Eirini Mavritsaki April 8, 2024

April 8, 2024

Dear all, I would like to advertise the below PhD funded application. Please feel free to email me if you have any questions. Thank you in advance for any help. Best wishes, Eirini Project 1: Using machine learning, AI and computational modelling to predict recovery from stroke from brain-scans across a range of language and cognitive deficits. This funding model includes a 36 month fully funded PhD Studentship, in-line with the Research Council values, which comprises a tax-free stipend paid monthly (2024/5 - £19,237) per year and a Full Time Fee Scholarship for up to 3 years, subject to you making satisfactory progression within your PhD. All applicants will receive the same stipend irrespective of fee status. Application Closing Date: 23:59 on Tuesday 30th April 2024 for a start date of the 2nd September 2024. How to Apply To apply, please complete the project proposal form,<https://www.bcu.ac.uk/Download/Asset/d3f86737-6b53-ec11-981f-501ac52d968f> <https://www.bcu.ac.uk/Download/Asset/d3f86737-6b53-ec11-981f-501ac52d968f>ensuring that you quote the project reference, and then complete the online application<https://www.bcu.ac.uk/courses/social-sciences-research-degrees-2024-25> where you will be required to upload your proposal in place of a personal statement as a pdf document. You will also be required to upload two references, at least one being an academic reference, and your qualification/s of entry (Bachelor/Masters certificate/s and transcript/s). Project Title: Using machine learning, AI and computational modelling to predict recovery from stroke from brain-scans across a range of language and cognitive deficits. Project Lead: Professor Eirini Mavritsaki Eirini.Mavritsaki(a)bcu.ac.uk<mailto:Eirini.Mavritsaki@bcu.ac.uk> Reference: PreSReB Project Description Stroke can be caused when blood flow to the brain is interrupted, this can take place either by blockage or through a traumatic event. Several cognitive deficits can be caused by stroke ranging from paralysis or weakness on one side of the body to problems with memory, attention, vision, thinking, emotional changes and language problems. For the best possible recovery from stroke, the correct rehabilitation is vital. However, predicting the best treatment and outcomes is challenging since every patient is different, and each case of stroke is unique. Machine learning has been previously used, but it is difficult to interpret the outcomes due to complex interactions of the large data used. To overcome these challenges, we are planning to combine machine learning with AI and computational modelling. To achieve the best outcomes, we are collaborating with University of Birmingham and UCL and we have access to the Predicting Language Outcome and Recovery After Stroke (PLORAS) database with over 2000 stroke patients. Anticipated Findings and Contribution to Knowledge This research work aims to contribute towards the development of new approaches for predicting stroke recovery. This will not only advance research in this area, but it will also lead to development of new tools that clinicians can use to predict outcomes for rehabilitation approaches. In addition, this work will make significant contributions towards the advancement of research in computational neuroscience. By combining machine learning, AI and computational modelling, it will help improve our understanding of this complex field. More information on the project can be found using the link below https://www.bcu.ac.uk/research/our-phds/phd-opportunities/using-machine-lea… and the application and process https://www.bcu.ac.uk/research/our-phds/phd-opportunities Please note that I think your work-life balance and your right to disconnect from your work or studies is very important. Therefore, if this message arrives in an evening or on a weekend, I really would not expect you to attend to it. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol Professor in Cognitive Psychology Faculty Research Strategy Deputy and Research Development Framework Lead eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Faculty of Business Law and Social Sciences Birmingham City University ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Disclaimer This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error, please notify the sender immediately, delete this email from your system and do not use, copy, or disclose the information contained in this message or in any attachment. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Birmingham City University. Birmingham City University accepts no liability for any loss or damage caused by any virus transmitted by this email and the recipient must ensure that the email (and attachments) is virus free.

1 0

Deadline approaching - Brains for Brains Young Researcher Award
by Alexander Lammers April 8, 2024

April 8, 2024

International early career scientists who have shown their outstanding potential at a very early career stage are invited to apply for the Brains for Brains Award. You can win a 2000 € travel grant to join the Bernstein Conference 2024 and visit labs of Bernstein members. ____ Who can apply? International students of all nationalities from relevant disciplines (biology, medicine, physics, mathematics, computer science, engineering, psychology, etc.) who plan to pursue a research career in computational neuroscience and who have at least one peer reviewed publication (as co-author) or peer reviewed conference abstract (as first author). ____ The award is endowed with: * a travel grant of 2.000 € for a one-week trip to Germany, including free participation at the Bernstein Conference 2024 in Frankfurt * the chance to present your research as a talk and as a poster at the Bernstein Conference 2024 * individually planned visits to labs of the Bernstein Network Computational Neuroscience ____ Application deadline: April 21, 2024, 23:59 CEST ____ Details & application https://bernstein-network.de/en/network/awards-and-initiatives/brains-for-b… ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

1 0

TA applications now open for Simons Computational Neuroscience Imbizo, 12 January to 2 February 2025
by Spyridon Chavlis April 8, 2024

April 8, 2024

Dear Colleagues, We are looking for teaching assistants for the Simons Computational Neuroscience Imbizo, a computational neuroscience summer school held in Cape Town, South Africa (https://imbizo.africa/) We are looking for post-doctoral or advanced PhD researchers to join our team as Teaching Assistants (TAs) for the Imbizo in January 2025. Please apply via the link: https://imbizo.africa/ta-application/. Before you apply, you should have the following documents/information ready: 1) A brief CV (2-4 pages is fine) 2) A short motivational statement about your scientific interests and background, why you would be a good fit, and your favourite topics for teaching tutorials and supervising student projects. 3) Contact details of one referee. *The application deadline is April 25, 2024 (20:00 UTC), and the reference letter submission deadline is April 29, 2024 (20:00 UTC).* Please notify your referee beforehand to meet the deadline. *About the Imbizo:* The school hosts 28-30 students for an amazing 22 days of lectures, tutorials, projects and forging new friendships. All this takes place on Noordhoek beach, between the mountain and the ocean. It's a spectacular location. * / Arrival day: Sunday 12 January 2025/ * / Imbizo dates: Monday 13 January to Saturday 1 February 2025/ * / Departure day: Sunday 2 February 2025/ The Imbizo is a special experience, with students being totally immersed in academic, social, touristic and cultural activities, and has resulted in student and TA groups from previous schools becoming very close, personally and scientifically. This is fantastic, as a major goal of the Imbizo project is to help young African researchers grow their academic peer and friend group. About being a TA: * Each TA runs one afternoon tutorial in the first week of the school, which they design themselves. * Each TA will teach a different topic, which the TA's choose among themselves, to provide students with a broad exposure to problems and methods in computational neuroscience. * Each TA is also assigned 5 students to supervise for project work during the last 2 weeks of the school. * TAs will be asked to help process student applications. TAs are integral in helping run the school. In addition to academic support, they foster good social interactions and academic discussions among students, and they help 'shy' students meet faculty. They also act as 'social glue’, helping to notice and support students who may be feeling ill, not fitting in socially, or generally having difficulties. To fulfill these roles, TAs need to be at all school meals and activities. We will also need a little help processing student applications. *What we provide:* We cover as direct as possible, economy class tickets to Cape Town, as well as all board and lodging during the school. *We will start assessing applications on May 1, 2024.* A call for student applications will follow soon. We hope to hear from you soon! Let us know if you have any questions. Thanks and regards Demba Ba, Arif Hamid, Peter E Latham, Spiros Chavlis, and Emma Vaughan Simons Computational Neuroscience Imbizo Committee 2025 Twitter: @CompNeuroImbizo email: isicn.imbizo[AT]gmail.com -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: schavlis(a)imbb.forth.gr Webpage: dendrites.gr <https://www.dendrites.gr>

1 0

Research Summit on Fundamental Challenges for AI. Mountain View, April 15th.
by Battleday, Ruairidh April 8, 2024

April 8, 2024

We are most excited to announce the final line-up and substantially reduced ticket prices for the AE Spring Summit on Fundamental Challenges for AI <http://bit.ly/springsummitaievent>. Computer History Museum, Mountain View; April 15th. This is a day of keynote talks and panels by leading AI researchers on what the open problems for ML/AI development are, and promising scientific and engineering strategies for solving them. Keynotes Professor Jay McClelland (Stanford / DeepMind) Professor Bin Yu (UC Berkeley) Professor Diyi Yang (Stanford) Professor Sergey Levine (UC Berkeley) Panels New Landscapes for AI Research New Professional Pathways Challenges for AI in Biomedicine Fundamental Challenges We have invited speakers and representatives from the following five technical stakeholder groups to this Summit: Academia Tech FROs / nonprofits Start-up VCs / Funders By soliciting answers and discussions from scientists and leaders at these different groups we hope to also examine what their different roles will be in the next period of AI research, and to foster the sharing of research. Full details can be found at www.algopreneurship.org. This should be an exciting and productive day, and we have made lower-priced tickets available for students and early-stage researchers. Lunch and a reception will be provided. We look forward to seeing some of you there, and please feel free to share news about the event on social media. The Thinking About Thinking Team Twitter / X: https://bit.ly/springsummitaix LinkedIn: https://bit.ly/springsummitaiLI -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking <http://www.thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

1 0

Fwd: Available Positions in Computer Science at the University of Plymouth
by Amir Aly April 7, 2024

April 7, 2024

Dear All The University of Plymouth has several available positions in Computer Science. More details are available in this advertisement (deadline is 27th May 2024): https://www.jobs.ac.uk/job/DGN533/lecturer-associate-professor-in-computer-… If you have any remarks, pls don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

1 0

Fwd: [seminar.wwtns] World wide VVTNS series: Wednesday, April 10 at 11am (EDT), Michael Buice, Allen Institute |Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity
by David Hansel April 7, 2024

April 7, 2024

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Michael Buice Allen Institute on the topic of "Biologically motivated learning dynamics: parallel architectures and nonlinear Hebbian plasticity*"* The lecture will be held on zoom on *April 10, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Learning in biological systems takes place in contexts and with dynamics not often accounted for by simple models. I will describe the learning dynamics of two model systems that incorporate either architectural or dynamic constraints from biological observations. In the first case, inspired by the observed mesoscopic structure of the mouse brain as revealed by the Allen Mouse Brain Connectivity Atlas, as well as multiple examples of parallel pathways in mammalian brains, I present a mathematical analysis of learning dynamics in networks that have parallel computational pathways driven by the same cost function. We use the approximation of deep linear networks with large hidden layer sizes to show that, as the depth of the parallel pathways increases, different features of the training set (defined by the singular values of the input-output correlation) will typically concentrate in one of the pathways. This result is derived analytically and demonstrated with numerical simulation with both linear and non-linear networks. Thus, rather than sharing stimulus and task features across multiple pathways, parallel network architectures learn to produce sharply diversified representations with specialized and specific pathways, a mechanism which may hold important consequences for codes in both biological and artificial systems. In the second case, I discuss learning dynamics in a generalization of Hebbian rules and show that these rules allow a neuron to learn tensor decompositions of higher-order input correlations. Unlike the case of the Oja rule and PCA, the resulting learned representation is not unique but selects amongst the tensor eigenvectors according to initial conditions. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

1 0

Call for Participation & Papers - ACAIN 2024 - 4th Int. Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: April 23
by ICAS Organizing Committee April 6, 2024

April 6, 2024

Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Symposium Deadlines Paper Submission (Symposium): by April 23, 2024 (AoE). https://acain2024.icas.events/symposium-call-for-papers/ https://easychair.org/conferences/?conf=acain2024 Notification of Decision for Papers (Symposium): by July 10, 2024. Camera Ready Submission (Symposium): by July 20, 2024. Author Registration (Symposium): by July 20, 2024. Course Deadlines Regular Registration (Course): by April 23, 2024. https://acain2024.icas.events/registration/ Late Registration (Course): from April 24, 2024. Oral Presentation Submission (Course): by April 23, 2024. Notification of Decision for Oral Presentation (Course): by August 31, 2024. SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 symposium and course is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ SYMPOSIUM CALL FOR PAPERS: https://acain2024.icas.events/symposium-call-for-papers/ SYMPOSIUM PROGRAM COMMITTEE (partial list, confirmed members): https://acain2024.icas.events/program-committee/ ORGANIZING COMMITTEE: https://acain2024.icas.events/symposium-committee/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events FB: https://www.facebook.com/ACAIN.LakeDistrict --

1 0

Applications Open for Analytical Connectionism Summer School 2024
by Matthew Turner April 5, 2024

April 5, 2024

Analytical Connectionism Summer School 2024 Analytical Connectionism is a 2-week summer course on analytical tools, including methods from statistical physics and probability theory, for probing neural networks and higher-level cognition. The course brings together neuroscience, psychology and machine-learning communities, and introduces attendees to analytical methods for neural-network analysis and connectionist theories of higher-level cognition and psychology. Connectionism, a key theoretical approach in psychology, uses neural-network models to simulate a wide range of phenomena, including perception, memory, decision-making, language, and cognitive control. However, most connectionist models remain, to a certain extent, black boxes, and we lack a mathematical understanding of their behaviors. Recent progress in theoretical neuroscience and machine learning has provided novel analytical tools that have advanced our mathematical understanding of deep neural networks, and can help us unravel these ‘black boxes’. This course will introduce (1) mathematical methods for neural-network analysis, providing a solid theoretical and analytical overview of the tools available to understand neural-network models, and (2) key connectionist models with links to experimental observations, and which provide important targets for analytical results. To provide context for the applications of these methods, we will discuss phenomena in psychology that still lack an explanation. During the 2-week course you will: - Attend lectures on theoretical methods and applications, key connectionist models, and experimental observations - Participate in tutorials, Q&A sessions, and panel discussions - Take part in activities such as poster and networking sessions The course will run from Aug. 12 to Aug. 23, 2024, Mondays-Fridays and will end with a 2-day hackathon, during which students will apply what they have learned in group projects. There are no course fees, but attendees are expected to cover their own travel, visa expenses, and any meals not offered by the summer school (morning and afternoon coffee breaks and lunch will be provided Monday-Friday). Accommodation in NYC (for students not living in NYC and surrounding) will be provided by the school. Travel grants inclusive of the above named expenses will be offered to individuals whose participation furthers the goal to promote diversity in systems and computational neuroscience, in particular among populations underrepresented in the scientific workforce as defined by NIH <https://diversity.nih.gov/about-us/population-underrepresented>, including but not limited to racially underrepresented individuals, women, individuals with disabilities and individuals from disadvantaged backgrounds. Organizers: - Chi-Ning Chou (CCN) - SueYeon Chung (CCN/NYU) - Francesca Mignacco (Princeton/CCN) - Stefano Sarao Mannelli (UCL) - Andrew Saxe (UCL) For more information and to apply, please visit: https://events.simonsfoundation.org/event/e070287e-741e-4809-adea-726914273… Administrative Contact: Alicja Jankowska, CCN Administrative Coordinator, ajankowska(a)flatironinstitute.org Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Flatiron Institute 917.363.1095 mobile mturner(a)flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron <https://www.simonsfoundation.org/flatiron/>

1 0

Available PhD Position at the intersection between AI and Marine Conservation
by Amir Aly April 5, 2024

April 5, 2024

Dear All, We have an available PhD position (*Monitoring health and unlocking social behaviour in bottlenose dolphins with interdisciplinary next-generation technology*) at the intersection of Marine Conservation and AI. More details are available here: Link <https://www.plymouth.ac.uk/schools/school-of-biological-and-marine-sciences…> . The closing date for applications is *22/04/2024**.* Project description Monitoring health and social behaviour in cetacean populations is required for population management and quantification of human impacts. Measures of individual fitness, survival, reproductive success, and sociality can have far-reaching implications for wildlife management and conservation, as populations adapt, or not, to human disturbance. Quantifying individual interactions is the foundation of social behaviour and cetaceans arguably demonstrate some of the most complex social systems in the mammalian world. However, the nature of social relationships in cetaceans remains poorly studied. Cetaceans provide unique research challenges that can constrain data collection and prevent multimodal inference. Recent developments in marine robotics, artificial intelligence (AI) and bioacoustics open opportunities for a technology-driven approach for conservation and behavioural research. AI-based techniques employing machine learning to analyse unoccupied aerial systems (UAS)-captured footage, and acoustic data need integration into tools to extract behavioural patterns and allow application to conservation research. The Scottish bottlenose dolphin project is one of the longest running individual-based studies of dolphins in the world, with multi decade sighting histories and life history data. This population has high societal importance, with core habitat impacted by coastal developments and in key areas for UK renewable energy. This project is an opportunity to integrate new generation technologies and contribute vital population and individual level information for conservation management and compliance monitoring for UK renewables. *Project aims and methods* This PhD project will integrate technology-driven data collection across bioacoustics, marine robotics and artificial intelligence to advance animal behaviour research. The project has four main research objectives: - Synchronise and integrate data collection of vocal signals and movement patterns of wild dolphin groups. - Determine social relationships, group behaviour and population demographics from boat-based and UAS still and video imagery. - Explore the boundaries of social behaviour using AI for tracking individuals. - Integrate and disseminate data across research and industrial sectors for policy and conservation management of this protected population. *Research Methodology* The student will collect acoustic, behavioural and UAS data during the annual summer field campaigns run by the Lighthouse Field Station based in Cromarty, Scotland. They will use a modified multi-rotor UAS, fitted with a laser altimeter to collect high-resolution still and video imagery of dolphin groups to verify individual identity information from known bottlenose dolphins within the population, and deploy hydrophones to record underwater acoustics. The student will explore dolphins’ fine-scale spatial interactions and individual movement trajectories and their link to acoustics, as well as morphometric and demographic data. The student will utilize and integrate a suite of AI methodologies to test hypotheses relating to the influence of social relationships and individual identity on group movement and acoustics in dolphins. Training This project will provide the student with multi-disciplinary skills development and training across bioacoustics, behavioural ecology and artificial intelligence. They will complete small boat work and field data collection at a world leading field station enhancing their data collection skills and providing benefits of interaction across two institutions. The student will also benefit from access to the Scottish bottlenose dolphin project longitudinal dataset to inform the individual level analysis that underpins this project, as well as a highly skilled field team to facilitate data collection and individual training. They will receive dedicated training in UAS operation and maintenance and depending on background may receive training in ecology, bioacoustics, artificial intelligence applications and R and Matlab programming. *Supervisory team* The project will be supervised by Dr. Nicola Quick <https://www.plymouth.ac.uk/staff/nicola-quick>, Dr. Clare Embling <https://www.plymouth.ac.uk/staff/clare-embling>, Dr. Barbara Cheney <https://www.abdn.ac.uk/sbs/people/profiles/b.cheney>, and Dr. Amir Aly <https://www.plymouth.ac.uk/staff/amir-aly> If you have questions, pls don't hesitate to ask, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

1 0

New on the VVTNS website and YouTube channel
by David Hansel April 5, 2024

April 5, 2024

[image: VVTNS.png] > > <https://streaklinks.com/B6q193DODqR1jYtfTwOu_wvC/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > New on the VVTNS website and YouTube channel Manuel Beiran Columbia University "Prediction of neural activity in connectome-constrained recurrent networks" talk given on April 3, 2024 https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ *VVTNS: VVTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* -- 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab. 45 rue des Saints Pères 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

1 0

[jobs] PhD position(s) in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen April 4, 2024

April 4, 2024

PhD position(s) in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking highly motivated and dedicated students to join our group in Toulouse, France. Successful candidates will have formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. We will also use advanced AI models to improve the decoding and understanding of brain activity. Details on the ideas that are developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have direct access to fMRI recording facilities and to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for PhD students are 3 years. The PhD stipend is 2,000 Euros/month (net). We expect to hire at least one candidate in the Fall of 2024, but will continue to recruit exceptional applicants in the foreseeable future. There is no firm deadline, but applications received before May 15, 2024 will receive full consideration. To apply, please send a CV and a letter <mailto:rufin.vanrullen@cnrs.fr> explaining your research interests and motivations to: rufin.vanrullen [at] cnrs.fr Any questions should also be directed to the same address. --

1 0

Flatiron Neuro Data Analysis Workshop at Federation of European Neuroscience Societies Forum 2024
by Jessica Hauser April 4, 2024

April 4, 2024

Applications are open for the Flatiron Institute's Center for Computational Neuroscience's first pynapple-fastplotlib-nemos workshop, a satellite event of FENS Forum 2024 in Vienna. Learn neural data analysis, visualization and modeling using state-of-the-art open source python packages developed by the NeuroRSE Group <https://neurorse.flatironinstitute.org/> at CCN. *Accommodation and meals are provided.* Learn more and apply here <https://events.simonsfoundation.org/event/62ec461f-1f9d-4e7b-8827-67e1c47c1…> . *Flatiron CCN Neuro data analysis workshop at Federation of European Neuroscience Societies Forum 2024* *Date: *June 23-24, 2024 *Application deadline: *April 19pynapple <https://pynapple-org.github.io/pynapple/> is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.). It also provides users with generic functions for neuroscience such as tuning curves and cross-correlograms.fastplotlib <https://github.com/fastplotlib/fastplotlib> is a next-gen plotting library built using the pygfx rendering engine that can utilize modern GPUs so it is very fast! It is an expressive plotting library that enables rapid prototyping for large scale explorative scientific visualization.nemos <https://github.com/flatironinstitute/nemos> is a statistical modeling framework for systems neuroscience, with a current focus on electrophysiology, fully compatible with pynapple. As of today, its core functionality includes the implementation of the Generalized Linear Model (GLM) for spike train analysis.If you have any questions, please contact jhauser(a)flatironinstitute.org. -- Jessica Hauser Coordinator, Center Administration Center for Computational Neuroscience *FLATIRON INSTITUTE* 160 Fifth Avenue, 3rd Floor New York, NY 10010 +1 (929) 969-7812 mobile +1 (929) 562-4586 desk

1 0

Computational and Cognitive Neuroscience Summer School application deadline extension (April 10)
by Chengcheng Huang April 4, 2024

April 4, 2024

Application deadline is extended for the 12th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 23 to July 14, 2024*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/2382 Application deadline: **April 10, 2024** About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. 2024 Faculty: Hannah Choi, Georgia Institute of Technology Robert Desimone, Massachusetts Institute of Technology Alain Destexhe, Centre National de la Recherche Scientifique (CNRS) Tomoki Fukai, Okinawa Institute of Science and Technology Leyla Isik, Johns Hopkins University Máté Lengyel, University of Cambridge Sukbin Lim, New York University, Shanghai Yunzhe Liu, Beijing Normal University Luca Mazzucato, University of Oregon Jorge Mejias, University of Amsterdam Yuanyuan Mi, Tsinghua University Ida Momennajad, Microsoft Research Memming Park, Champalimaud Centre for the Unknown Anqi Wu, Georgia Institute of Technology Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Songting Li, Shanghai Jiao Tong University Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Supports: Cold Spring Harbor Asia Simons Foundation -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience Department of Mathematics University of Pittsburgh

1 0

Neuroinformatics Assembly 2024: Keynote announcement, IP sessions, abstract submissions, & early bird registration
by Heather Topple April 4, 2024

April 4, 2024

*Neuroinformatics Assembly 2024: Keynote announcement,* *IP sessions, abstract submissions, & early bird registration* The INCF Assembly <https://neuroinformatics.incf.org/> is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. For the first time since 2019, we're hosting Assembly in-person! Assembly will run from Sep 23-25 in Austin, Texas, with training activities from Sep 26-27. This year's theme is Brain Meets AI: Pioneering the Future of Neuroinformatics. Abstract submission <https://neuroinformatics.incf.org/abstract-submission> and early bird registration <https://neuroinformatics.incf.org/register> are open for INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> - make sure to register before Jun 28 to get the early bird price! Are you interested in presenting at Assembly 2024? We’re seeking 3 investigator presentations for each of the 4 main sessions at INCF Neuroinformatics Assembly 2024: - FAIR neuroscience - Technologies for large-scale computation and team science - Applications of AI to neuroscience research - Closing the discovery loop and digital twins Please submit your investigator presentation abstract via this link <https://neuroinformatics.incf.org/abstract-submission> no later than April 08, 2024. Selected presenters will have their registration fee waived as a thank-you for your contribution. Note: You need to be signed in to submit an abstract, but you don’t need to be an INCF member to create an account. Keynote announcement! Elisabeth Bik, PhD, Microbiome Digest Microbiome specialist Elisabeth Bik is a Microbiome and Science Integrity consultant. She can often be found discussing science papers on Twitter at @MicrobiomDigest <https://twitter.com/MicrobiomDigest>, writing for her blog ScienceIntegrityDigest <https://scienceintegritydigest.com/> or searching the biomedical literature for inappropriately duplicated or manipulated photographic images, plagiarized text, or poor study design and data analysis. Bik’s work has been featured in Nature, Science, the New York Times, Le Monde, Wall Street Journal, STAT News, and The Scientist. Viktor Jirsa, PhD, Institut de Neurosciences des Systemès Dr. Jirsa is one of the Lead Scientists in the Human Brain Project <https://www.humanbrainproject.eu/> and The Virtual Brain <https://www.thevirtualbrain.org/> and has published more than 150 scientific articles and book chapters, as well as co-edited several books including the Handbook of Brain Connectivity <https://www.amazon.ca/Handbook-Brain-Connectivity-Viktor-Jirsa/dp/3540714626>. Dr. Jirsa has made notable contributions to the understanding of how network structure constrains the emergence of functional dynamics using methods from nonlinear dynamic system theory and computational neuroscience. Danilo Bzdok, MD, PhD, Mila - Quebec Artificial Intelligence Institute Dr Bzdok currently serves as Associate Professor at McGill's Faculty of Medicine and as Canada CIFAR AI Chair at Mila - Quebec Artificial Intelligence Institute, Montreal, Canada, including cross-appointments at the McConnell Brain Imaging Center, Montreal Neurological Institute, Ludmer Centre for Neuroinformatics and Mental Health, and the School of Computer Science at McGill University. His interdisciplinary research activity centers on narrowing knowledge gaps in the brain basis of human-defining types of thinking, with a special focus on the higher association cortex in health and disease. Important dates Mar 15 - Early bird, abstract, & investigator presentation registration open! Apr 08 - IP registration closes Jun 29 - Regular registration Sep 23-25 - Assembly Sep 26-27 - Training See you at Assembly 2024! /The INCF Team

1 0

Postdoc in Machine Learning for Neuroscience, Edinburgh
by Matthias Hennig April 3, 2024

April 3, 2024

We are looking for a postdoctoral researcher to develop new machine learning approaches for the analysis of large-scale extracellular recordings. The position is part of a wider effort to enable new discoveries with state-of-the-art electrode arrays and recording devices, and jointly supervised by Matthias Hennig and Matt Nolan. It offers a great opportunity to work with theoretical and experimental neuroscientists innovating open source tools and software for systems neuroscience. Based in Edinburgh - vibrant neuroscience community and a great place to live. More information and application details: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/job/10003 Feel free to contact me for more information (m.hennig(a)ed.ac.uk) Best, Matthias -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

3 2

New positions for postdoc at unipv
by Shailesh Appukuttan April 3, 2024

April 3, 2024

*(posting on behalf of Simona Tritto)* *New calls for postdoc positions are now open at the Neurophysiology/Neurocomputation Units of the University of Pavia coordinated by prof. Egidio D'Angelo *(dangelo lab <https://dangelo.unipv.it/>) · Spiking neural networks for digital brain twins of schizophrenia <https://dangelo.unipv.it/2024/03/20/7606/> · Generation and simulation of a cerebellar robotic controller <https://dangelo.unipv.it/2024/03/20/new-position-1-generation-and-simulatio…> · Workflow design and signal analysis <https://dangelo.unipv.it/2024/03/20/new-position-3-workflow-design-and-sign…> Many thanks, best wishes Simona [image: LOGO-UNIPV] Simona Tritto Dipartimento di Scienze del Sistema Nervoso e del Comportamento Scientific Technician T. 0382.987048 <0382987048>

1 0

Call for participants -- WasON study
by Davide Coraci April 3, 2024

April 3, 2024

Dear list members, We are recruiting participants worldwide and it would be fantastic if you could take part in the WasON study. The aim of the study is to investigate how *neuroscientists* and researchers (psychologists, cognitive scientists, philosophers, etc.) with some familiarity with neuroimaging techniques draw associations between *cognitive processes* and *fMRI data* observed experimentally. The study has been developed by the SANe and the MInD units (MoMiLab <https://momilab.imtlucca.it/> research group at IMT School Lucca, Italy) and can be found here: https://www.sane-elab.eu/NRIA/welcome.php. The questionnaire can be completed through PC or smartphone (however, the use of the PC is warmly suggested to visualize the fMRI maps better). Collected data will be completely *anonymous*. Once the questionnaire is finished, you can *check your accuracy* and decide to continue with another set of questions. In this case, please do not close or restart the session, otherwise the system will create another participant ID. We ask you to complete the questionnaire individually. However, after completing the survey you may want to compare your score with one of your lab mates and colleagues. Feel free to forward the link to anyone you think could be interested. If you have any questions or just want to be updated with the results of the study, please do not hesitate to contact us (davide.coraci(a)imtlucca.it) Thank you very much for your availability and your time. All the best, Davide Coraci -- Davide Coraci Phd Student IMT School for Advanced Studies Lucca MoMiLab <https://momilab.imtlucca.it> - *Molecular Mind Laboratory* MInD <https://momilab.imtlucca.it/research/mind> - *Models, Inference, and Decisions * https://www.davidecoraci.com/welcome.php

1 0

positions available in consciousness research: 2x postdoc and 3x PhD
by Anil Seth April 3, 2024

April 3, 2024

Apologies for cross posting: 2x Postdoc and 3x PhD new positions now available at Sussex! Do you have a strong background in cognitive and computational neuroscience and a desire to contribute to the cutting edge of consciousness research? Two postdoctoral research positions and three PhD positions are now available at the Sussex Centre for Consciousness Science (SCCS; https://www.sussex.ac.uk/research/ccs/) The SCCS is a University of Sussex Centre of Excellence and an internationally prominent group in consciousness science, situated in the beautiful Falmer campus of Sussex University, and boasting enviable research facilities as well as strong collaborative links with a range of national and international partners. The positions are supported by an ERC Advanced Investigator Grant (project CONSCIOUS; 2 postdocs and 2 PhDs) to Anil Seth, and by the SCCS, via the School of Informatics and Engineering (1 PhD). The postdoc positions funded for 2 years with possible extension for another 2, starting as soon as suitable candidates are identified. The PhD positions are fully funded (for both UK and overseas candidates) for 3.5 years, starting in September 2024 (earlier start may be negotiable). The ERC positions are all within the broad remit of computational (neuro)phenomenology, exploring different applications of a predictive processing view of conscious perception. One of the ERC PhD positions will focus on perceptual diversity, analysing and extending our unique Perception Census project (https://perceptioncensus.dreamachine.world/) The SCCS PhD is flexible in terms of project focus and supervisor; here, we invite PhD proposals that have a computational/informatics element. *Updated Deadline*. Apply by April 26 for all positions. Further details, including how to apply, are here: https://www.sussex.ac.uk/research/centres/sussex-centre-for-consciousness-s… ------------------------------------------- Anil K. Seth, D.Phil. Professor of Cognitive and Computational Neuroscience, University of Sussex Director, Sussex Centre for Consciousness Science, University of Sussex Co-Director, Canadian Institute for Advanced Research, Program on Brain, Mind, and Consciousness Advanced Investigator, European Research Council Editor-in-Chief, Neuroscience of Consciousness www.anilseth.com @anilkseth [Being You Pb Digital Assets v1 Email copy.png]

1 0

Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin
by Reinoud Maex April 3, 2024

April 3, 2024

From: Brian Sullivan <brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk>> Sent: Wednesday, March 27, 2024 14:27 To: comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org> <comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>> Subject: Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin On May 20, 2024, a memorial symposium will be held as a remembrance and celebration of the life and scientific work of Dr. Dana Ballard (1946–2022), who was a pioneer in the study of computer vision, neural computation, human vision and motor coordination, and robotics. Dr. Ballard was a professor of computer science at the University of Texas at Austin and a member of the Center for Perceptual Systems. As part of the IEEE International Conference on Development and Learning (ICDL) 2024,https://la.utexas.edu/users/dil/ICDL_Austin_2024/<https://la.utexas.edu/users/dil/ICDL_Austin_2024>, we will host a morning seminar session celebrating Dana Ballard’s research with presentations by: Rajesh Rao, Jochen Triesch, Chen Yu, Virginia De Sa, Constantin Rothkopf, Janneke Jehee, and Ruohan Zhang. Memorial Session Website: https://la.utexas.edu/users/dil/symposium%20_icdl/index.html<https://la.utexas.edu/users/dil/symposium%20_icdl/index.html> Date: Monday May 20, 2024 Time: 8:30 am to 12:00 pm Location: The University of Texas at Austin, Austin, Texas, USA The session is free but we ask that you kindly register your plans to attend via the Google form listed on the session website, or via the direct link here: Registration for the Dana Ballard Memorial Symposium at ICDL 2024 (google.com)<https://docs.google.com/forms/d/e/1FAIpQLScI5RRtrBBlKpEi3wcXw30MBM3nfe7mwCj…> Note that registration for the main conference is not required, but if you are interested in attending the main conference, you can register here: https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary<https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary> Information about accommodation is available on the main conference web page. Brian Sullivan & Chen Yu -- Brian Sullivan brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk> Honorary Research Fellow Population Health Sciences Bristol Medical School BF7 Barley House University of Bristol Bristol, BS8 2BN, UK

1 0

Applications are now open for CAMP2024
by Jeevan Kumar Gochhayat April 3, 2024

April 3, 2024

Dear All, Applications for CAMP 2024 are now open <https://campiiser.com/>! . CAMP (Computational Approaches to Memory and Plasticity) summer school is a two-week program that provides Ph.D. students and postdocs with training in the areas of learning, memory, and plasticity in the brain. The program will take place between 1st and 17th July 2024 at IISER Pune <https://www.iiserpune.ac.in/>, India. Deadline for application submission is 23rd April ,2024. Apply now at https://campiiser.com/ Please circulate the course information among labs/departments/students that might be interested. You can also follow us on X (formerly Twitter) : https://x.com/camp_course?t=p_3pXlqRl3yNmRgb83_AMQ&s=09 CAMP invites Ph.D. students, master’s students, final-year undergraduates, and postdocs worldwide from all backgrounds to CAMP@Pune. At this intensive 17-day course, students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time, and complexity. This year’s flavor of CAMP will be Data-Driven Neuroscience. The course will have lectures, hands-on tutorials, and projects to launch students into the exciting field of computational neuroscience. Accommodation and meals will be covered for the participants. More details on the poster <https://campiiser.com/wp-content/uploads/2024/04/CAMP2024.pdf>. For more information please visit https://campiiser.com/ or email us at: camp(a)acads.iiserpune.ac.in On behalf of the organisers, Aravind Kumar Collins Assisi Rishikesh Narayanan Suhita Nadkarni Upi Bhalla ReplyForward

1 0

Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann April 3, 2024

April 3, 2024

Enrolments are now open for the Modellers Workshop for the Brain Dynamics Toolbox. This is an online course for researchers who wish to build custom dynamical models in matlab using the Brain Dynamics Toolbox. The course focuses on practical programming techniques for the major classes of differential equations (ordinary, partial, delay, stochastic) in computational neuroscience. Study time is 8 hours. Example code is provided in all cases. Upon completion, students will be able to turn custom differential equations into working simulations. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close 28th April 2024. 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.

1 0

Optics and Microscopy Workshop, Goniądz, Poland - Deadline April 10th
by Mateusz Kostecki April 2, 2024

April 2, 2024

Dear Colleagues We would like to remind you that the deadline for registration to our Optics and Microscopy Workshop is April 10th! The workshop will be a *thorough, hands–on introduction to optics and microscopy*. With our instructor, Fred Marbach from Crick Institute, we will start from absolute basics – *photons, ray diagrams and lenses*; then move to building a simple optical system, just to *end up building DIY bright-field and fluorescent microscopes.* We will image neurons (hopefully!), and understand every last bit of how that image came to be (this is a certainty!). During the workshop you will build an intuition for optics, allowing you to reason about optical systems found in the lab (and in publications): you will understand the equipment you are using on a much deeper level. The workshop will take place *May 10-12th in Goniądz*, in Dwór Bartla, overlooking the beautiful Biebrza river, which at this time of the year provides great opportunities for birdwatching. The deadline for registration is April 5th,* the cost of the workshop is EUR 250 (but we provide fee waivers if needed)*. The cost includes the r*egistration fee, accommodation, breakfast and lunch.* Please find the registration form and more info here - https://nenckiopenlab.org/optics-and-microscopy-workshop-2024/ Best! NOL Team -- --- Mateusz Kostecki PhD Student Knapska Laboratory Nencki Institute 02-093 Warsaw, Pasteura 3, Poland https://twitter.com/mtkostecki https://evolvingbehavior.blog/

1 0