- Comp-neuro - lists.cnsorg.org

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

24 May '24

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

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PhD position in neonatal neuroimaging
by Manuel Blesa Cábez 24 May '24

24 May '24

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

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

24 May '24

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

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[Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly 23 May '24

23 May '24

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>

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Mentors Needed for Neuromatch Academy!
by Courtney Dean 22 May '24

22 May '24

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

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Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission
by Alexander Lammers 22 May '24

22 May '24

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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD in computational neurosciences at CerCo (CNRS UMR 5549, Toulouse France)
by MASQUELIER Timothee 22 May '24

22 May '24

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.

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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 19 May '24

19 May '24

[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

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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 18 May '24

18 May '24

* 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/

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Grand Challenge on Neural Decoding at BioCAS 2024
by Prof. Arindam BASU 18 May '24

18 May '24

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.

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