- Comp-neuro - lists.cnsorg.org

Research Summit on Fundamental Challenges for AI. Mountain View, April 15th.
by Battleday, Ruairidh 08 Apr '24

08 Apr '24

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

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Fwd: Available Positions in Computer Science at the University of Plymouth
by Amir Aly 07 Apr '24

07 Apr '24

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

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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 07 Apr '24

07 Apr '24

[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

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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 06 Apr '24

06 Apr '24

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 --

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Applications Open for Analytical Connectionism Summer School 2024
by Matthew Turner 05 Apr '24

05 Apr '24

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/>

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Available PhD Position at the intersection between AI and Marine Conservation
by Amir Aly 05 Apr '24

05 Apr '24

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

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New on the VVTNS website and YouTube channel
by David Hansel 05 Apr '24

05 Apr '24

[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

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[jobs] PhD position(s) in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen 04 Apr '24

04 Apr '24

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. --

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Flatiron Neuro Data Analysis Workshop at Federation of European Neuroscience Societies Forum 2024
by Jessica Hauser 04 Apr '24

04 Apr '24

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

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Computational and Cognitive Neuroscience Summer School application deadline extension (April 10)
by Chengcheng Huang 04 Apr '24

04 Apr '24

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

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