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DTSTART;TZID=America/Los_Angeles:20230418T080000
DTEND;TZID=America/Los_Angeles:20230418T090000
DTSTAMP:20260415T000439
CREATED:20230416T091939Z
LAST-MODIFIED:20230416T091939Z
UID:10000177-1681804800-1681808400@www.neuropac.info
SUMMARY:INRC Forum: Akshit Saradagi
DESCRIPTION:Neuromorphic sensing in sub-terranean environments and neuromorphic solvers for model predictive control\nAbstract: In this talk\, I will be presenting some recent results in Neuromorphic Engineering from the Robotics and AI group at Luleå University of Technology\, Sweden.\nIn the first half of my talk\, I will be presenting a novel LiDAR and event camera fusion framework for fast and precise object and human detection in subterranean (SubT) environments. The fusion framework caters to the wide variety of adverse lighting conditions found in SubT environments\, such as low or no light\, high-contrast zones and in the presence of blinding light sources. The proposed fusion uses intensity filtering and K-means clustering on the LiDAR point cloud and frequency filtering and connectivity clustering on the events induced in an event camera by the returning LiDAR beams. The fusion framework was experimentally validated in a real SubT environment (a mine) with a Pioneer 3AT mobile robot. The experimental results show real-time performance for human detection and the NMPC-based controller allows for reactive tracking of a human or object of interest\, even in complete darkness.\nIn the second half of the talk\, I will be presenting our preliminary results on using neuromorphic solvers for solving quadratic programs arising in Model Predictive Control (MPC). More specifically\, we employed the floating-point LAVA QP solver\, which emulates the Proportional-Integral Projected Gradient (PIPG) Method for solving QP problems\, to solve terminally constrained MPC problems. The objective function in linear MPC problems being strongly convex\, the LAVA QP solver ensures that the distance to optimum and the constraint violation converge to zero at the rate of O(1/k^2) and O(1/k^3) respectively\, with ‘k’ being the number of solver iterates. Given this peculiar convergence property of the solver\, I will present a sketch of our proof for asymptotic stability of the closed loop system\, along with the simulation-based validation. \nBio: Akshit Saradagi is a Postdoctoral researcher in the Robotics and AI group at Luleå University of Technology\, Sweden. He received his M.S and Ph.D dual degree from the Indian Institute of Technology Madras (IITM)\, Chennai\, India. His current research focusses on distributed control of multi-agent systems\, control barrier functions-based safety guarantees in Robotics\, applications of Neuromorphic Computing in Robotics and control under resource constraints. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-bruno-olshausen-2-3/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230411T080000
DTEND;TZID=America/Los_Angeles:20230411T090000
DTSTAMP:20260415T000439
CREATED:20230416T091845Z
LAST-MODIFIED:20230416T091845Z
UID:10000176-1681200000-1681203600@www.neuropac.info
SUMMARY:INRC Forum: Guido de Croon
DESCRIPTION:Neuromorphic sensing and processing for small\, autonomous drones\n\n\n\nAbstract: Small drones are promising for many applications\, such as search-and-rescue\, greenhouse monitoring\, or keeping track of stock in warehouses. Since they are small\, they can fly in narrow areas. Moreover\, their light weight makes them very safe for flight around humans. However\, making such small drones fly completely by themselves is an enormous challenge due to the extreme resource restrictions in terms of sensing and processing. In my talk\, I will discuss the promises of novel neuromorphic sensing and processing technologies for autonomous flight of small drones\, illustrating this with recent experiments from our lab. Specifically\, I will delve into our multi-year effort to create a fully neuromorphic vision-to-control pipeline\, going from raw events to low-level control commands. Recently\, we have achieved this feat for optical-flow-based ego-motion estimation and control\, implementing the spiking neural network on the Loihi Kapoho bay onboard of a free-flying drone. \n\n\n\nBio: Guido de Croon received his M.Sc. and Ph.D. in the field of Artificial Intelligence (AI) at Maastricht University\, the Netherlands. His research interest lies with computationally efficient\, bio-inspired algorithms for robot autonomy\, with an emphasis on computer vision. Since 2008 he has worked on algorithms for achieving autonomous flight with small and light-weight flying robots\, such as the DelFly flapping wing MAV. In 2011-2012\, he was a research fellow in the Advanced Concepts Team of the European Space Agency\, where he studied topics such as optical flow based control algorithms for extraterrestrial landing scenarios. After his return at TU Delft\, his work has included fully autonomous flight of a 20-gram DelFly\, a new theory on active distance perception with optical flow\, and a swarm of tiny drones able to explore unknown environments. Currently\, he is Full Professor at TU Delft and scientific lead of the Micro Air Vehicle lab (MAVLab) of Delft University of Technology. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-bruno-olshausen-2-2/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230411
DTEND;VALUE=DATE:20230415
DTSTAMP:20260415T000439
CREATED:20230114T164825Z
LAST-MODIFIED:20230114T164825Z
UID:10000001-1681171200-1681516799@www.neuropac.info
SUMMARY:NICE
DESCRIPTION:The 2023 Neuro-Inspired Computing Elements (NICE) Conference is the 10th annual meeting of researchers in the neural computing field. Like previous editions\, NICE 2023 will focus on the interplay between neural theory\, neural algorithms\, neuromorphic architectures and hardware\, and applications for neural computing technology. \nNICE aims to involve diverse participation from all over the world and bring together research communities with universities\, government\, and industry.
URL:https://www.neuropac.info/event/nice/
LOCATION:University of Texas at San Antonio\, San Antonio\, TX\, United States
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230406T163000
DTEND;TZID=UTC:20230406T173000
DTSTAMP:20260415T000439
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000040-1680798600-1680802200@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-04-06/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230404T180000
DTEND;TZID=UTC:20230404T193000
DTSTAMP:20260415T000439
CREATED:20230127T223552Z
LAST-MODIFIED:20230127T223552Z
UID:10000008-1680631200-1680636600@www.neuropac.info
SUMMARY:Hands-on session with Sinabs and Speck
DESCRIPTION:Speaker bio: Gregor Lenz graduated with a Ph.D. in neuromorphic engineering from Sorbonne University. He thinks that technology can learn a thing or two from how biological systems process information. \nHis main interests are event cameras that are inspired by the human retina and spiking neural networks that mimic human brain in an effort to teach machines to compute a bit more like humans do. At the very least there are some power efficiency gains to be made\, but hopefully more! Also he loves to build open source software for spike-based machine learning. You can find more information on his personal website. \nHe is the maintainer of two open source projects in the field of neuromorphic computing\, Tonic and expelliarmus.
URL:https://www.neuropac.info/event/hands-on-session-with-sinabs-and-speck/
LOCATION:Online
CATEGORIES:Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230404T080000
DTEND;TZID=America/Los_Angeles:20230404T090000
DTSTAMP:20260415T000439
CREATED:20230331T122014Z
LAST-MODIFIED:20230331T122032Z
UID:10000175-1680595200-1680598800@www.neuropac.info
SUMMARY:INRC Forum: Arto Nurmikko
DESCRIPTION:Efficient Decoding of Multipoint Spiking Events Recorded by A Network of Wireless Biosensors\n\n\nAbstract: Our lab is developing tools for brain-machine interfaces using a concept of spatially distributed wireless microsensors\, “neurograins” implanted in a functional cortical area of interest (motor\, auditory\, visual). When a given sensor detects a spiking event\, the signal is immediately sent to an external radio-frequency receiver as a binary “1”. Thus\, for a network of thousand neurograins\, one goal of an ongoing research project\, the received data at the external detector is a stream of spikes in which the cortical computations of interest are embedded. Based on our work on smaller ensembles (hundred neurograins)\, we have discovered a major computational bottleneck in detecting and decoding signals for large ensembles of neurograins for a real-time (wearable/portable brain-interface systems. In this work\, we explore and apply the Loihi platform to integrate the demodulation (time-series correlation) and neural population decoding (spike-timing based model) steps into one parallel process. \nBio: Prof. Arto Nurmikko is a L. Herbert Ballou University Professor of Engineering and Physics at Brown. He recived his degrees from University of California\, Berkeley\, and did postdoctoral work at the Hebrew University (Jerusalem) and MIT. Prof. Nurmikko’s research spans the areas of neuroengineering\, photonics\, microelectronics\, nanosciences\, and the translation of device research to new technologies in physical and life science applications. Currently\, his research interests are focused on implantable neural interfaces. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-arto-nurmikko/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230328T080000
DTEND;TZID=America/Los_Angeles:20230328T090000
DTSTAMP:20260415T000439
CREATED:20230331T121912Z
LAST-MODIFIED:20230331T121924Z
UID:10000174-1679990400-1679994000@www.neuropac.info
SUMMARY:INRC Forum: Garrett Kenyon
DESCRIPTION:Sparse Coding with Locally Competitive Algorithm on Loihi 2\nBio: Garrett T. Kenyon received the BA degree in physics from the University of California at Santa Cruz in 1984 and the MS and PhD degrees in physics from the University of Washington in Seattle in 1986 and 1990\, respectively. He received further postdoctoral training at the Baylor College of Medicine\, Division of Neuroscience\, and at the University of Texas Medical School\, Houston\, Department of Neurobiology and Anatomy. He has been a staff member in the Biological and Quantum Physics group at the Los Alamos National Laboratory since 2001. His research interests involve the application of computer simulations and theoretical techniques to the analysis of computation in biological neural networks. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-garrett-kenyon/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230328
DTEND;VALUE=DATE:20230401
DTSTAMP:20260415T000439
CREATED:20230129T160341Z
LAST-MODIFIED:20230129T160341Z
UID:10000015-1679961600-1680307199@www.neuropac.info
SUMMARY:Human Brain Project Summit 2023
DESCRIPTION:The Human Brain Project Summit 2023 provides an open forum for hundreds of researchers\, plus policy makers\, media and public\, to discuss exciting scientific results\, the latest developments in the project\, and the cutting-edge services and tools available on the EBRAINS Research Infrastructure is a great opportunity to share the latest developments of the Human Brain Project with the community and external audiences. It is also meant to be a valuable moment of exchange\, discussion\, and feedback. \nClick here for more details.
URL:https://www.neuropac.info/event/human-brain-project-summit-2023/
LOCATION:Marseille\, France\, Marseille\, France
CATEGORIES:Conference,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230327
DTEND;VALUE=DATE:20230330
DTSTAMP:20260415T000439
CREATED:20230129T162712Z
LAST-MODIFIED:20230129T162712Z
UID:10000016-1679875200-1680134399@www.neuropac.info
SUMMARY:tinyML Summit 2023
DESCRIPTION:The tinyML Summit 2023 will be the premier gathering of key tinyML members from all aspects of the ecosystem. This year\, end-users\, innovators\, and business leaders will be invited to encompass the expanding breadth of industries impacted by the maturing tinyML technology and application space. The tinyML Summit 2023 will provide a unique environment to have focused\, high-impact presentations and conversations from both suppliers and users to advance the accessibility and adoption of tinyML solutions. No matter where you are in the Edge Computing AI/ML supply chain\, this is the must-attend event for 2023. \nThe tinyML Research Symposium 2023 will be held in conjunction with the tinyML Summit.  The Research Symposium is the premier annual gathering of senior level technical experts and decision makers representing fast growing global tinyML community.
URL:https://www.neuropac.info/event/tinyml-summit-2023/
LOCATION:Hyatt Regency\, San Francisco\, CA\, United States
CATEGORIES:Conference,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230323T163000
DTEND;TZID=UTC:20230323T173000
DTSTAMP:20260415T000439
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000039-1679589000-1679592600@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-03-23/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230321T180000
DTEND;TZID=Europe/Berlin:20230321T193000
DTSTAMP:20260415T000439
CREATED:20230114T170109Z
LAST-MODIFIED:20230114T170109Z
UID:10000003-1679421600-1679427000@www.neuropac.info
SUMMARY:Evolutionary Optimization for Neuromorphic Systems
DESCRIPTION:Speaker bio: Catherine (Katie) Schuman is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee (UT). She received her Ph.D. in Computer Science from UT in 2015\, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. Katie previously served as a research scientist at Oak Ridge National Laboratory\, where her research focused on algorithms and applications of neuromorphic systems. Katie co-leads the TENNLab Neuromorphic Computing Research Group at UT. She has over 100 publications as well as seven patents in the field of neuromorphic computing. She received the Department of Energy Early Career Award in 2019.
URL:https://www.neuropac.info/event/evolutionary-optimization-for-neuromorphic-systems/
LOCATION:Online
CATEGORIES:Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230321T080000
DTEND;TZID=America/Los_Angeles:20230321T090000
DTSTAMP:20260415T000439
CREATED:20230331T121734Z
LAST-MODIFIED:20230331T121734Z
UID:10000173-1679385600-1679389200@www.neuropac.info
SUMMARY:INRC Event: Neuromorphic Dynamic Noise Suppression (N-DNS) Challenge
DESCRIPTION:The Intel Neuromorphic DNS Challenge is a unique opportunity to advance state-of-the-art neuromorphic algorithms research and win up to $55\,000 of prize money.\nYou need not be an INRC member to participate in this challenge\, however you will need to join in order to develop solutions for Track 2\, see below. Kick-off presentation and recording from the March 21\, 2023 INRC Forum session is available via this link.
URL:https://www.neuropac.info/event/inrc-forum-bruno-olshausen-3/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230315
DTEND;VALUE=DATE:20230316
DTSTAMP:20260415T000439
CREATED:20230225T210608Z
LAST-MODIFIED:20230311T160753Z
UID:10000027-1678838400-1678924799@www.neuropac.info
SUMMARY:Abstract Deadline: International Conference on Neuromorphic\, Natural and Physical Computing
DESCRIPTION:We are happy to announce the “Neuromorphic\, Natural and Physical Computing: Interdisciplinary Foundations (NNPC 2023)”\, organized with generous support by the Volkswagen Foundation. The conference will take place the 25th – 27th of October 2023 in Hanover\, Germany\, and the deadline for submitting a 2-page abstract is March 15th. \nThe general aim of NNPC 2023 is to boost interdisciplinary transfer of ideas and networking in the wider fields of non-digital computing. NNPC 2023 is a successor to the 2018 conference “Cognitive Computing: Merging Concepts with Hardware” (https://nnpc-conference.com/2018) whose very productive and motivating format will be kept\, as well as the location and the generous funding conditions. \nEach session is devoted to a specific theme. We encourage active engagement of attendants by requiring submission of a 2-page abstract on a subject relating to one of the session themes. These abstracts are peer-reviewed. From the accepted abstracts three are chosen for oral presentations and the remaining ones for posters. Importantly\, novelty is not essential as our aim is to make knowledge to diffuse across boundaries of the scientific domains involved.
URL:https://www.neuropac.info/event/abstract-deadline-international-conference-on-neuromorphic-natural-and-physical-computing/
LOCATION:Online
CATEGORIES:Conference,Deadline
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230314T080000
DTEND;TZID=America/Los_Angeles:20230314T090000
DTSTAMP:20260415T000439
CREATED:20230331T121426Z
LAST-MODIFIED:20230331T121701Z
UID:10000172-1678780800-1678784400@www.neuropac.info
SUMMARY:INRC Forum: Thomas Nowotny
DESCRIPTION:Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks\nAbstract: In a recent paper Wunderlich and Pehle (2021) introduced the EventProp algorithm that enables training spiking neural networks by gradient descent on exact gradients. In this talk I will present extensions of EventProp to support a wider class of loss functions and an implementation in the GPU enhanced neuronal networks framework (GeNN) which exploits sparsity. The GPU acceleration allows us to test EventProp extensively on more challenging learning benchmarks. We find that EventProp performs well on some tasks but for others there are issues where learning is slow or fails entirely. We have discovered that the problems relate to the exact gradient of the loss function not providing information about loss changes due to spike creation or spike deletion. Depending on the details of the task and loss function\, descending the exact gradient with EventProp can lead to the deletion of important spikes and so to an inadvertent increase of the loss and decrease of classification accuracy and hence a failure to learn. In other situations\, the lack of knowledge about the benefits of creating additional spikes can lead to a lack of gradient flow into earlier layers\, slowing down learning. We are trying to overcome these problems in the form of `loss shaping’\, where we introduce a suitable weighting function into an integral loss to increase gradient flow from the output layer towards earlier layers. I will show example result for the Spiking Heidelberg Digits and sequential spiking MNIST where we achieve (close to) state-of-the-art performance. \nBio. Prof. Thomas Nowotny has a background in theoretical physics. After his PhD from Leipzig University in 2001 he started working in Computational Neuroscience and bio-inspired AI at the Institute for non-linear Science at UCSD. He is now a Professor in Informatics at the University of Sussex and the head of the AI research group. His interests include olfaction\, hybrid systems\, spiking neural networks and their efficient simulation\, bio-inspired AI and algorithms for neuromorphic computing. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-thomas-nowotny-2/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230309
DTEND;VALUE=DATE:20230315
DTSTAMP:20260415T000439
CREATED:20230129T223003Z
LAST-MODIFIED:20230129T223003Z
UID:10000026-1678320000-1678838399@www.neuropac.info
SUMMARY:Computational and Systems Neuroscience (COSYNE) 2023
DESCRIPTION:The annual COSYNE conference provides an inclusive forum for the exchange of experimental and theoretical approaches to problems in systems neuroscience\, in order to understand how neural systems are built and function.
URL:https://www.neuropac.info/event/computational-and-systems-neuroscience-cosyne-2023/
LOCATION:Montreal\, Montreal\, Canada
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230307T080000
DTEND;TZID=America/Los_Angeles:20230307T090000
DTSTAMP:20260415T000439
CREATED:20230331T120956Z
LAST-MODIFIED:20230331T121020Z
UID:10000171-1678176000-1678179600@www.neuropac.info
SUMMARY:INRC Forum: Bruno Olshausen
DESCRIPTION:Computing with Dynamics\nAbstract: Is the brain a computer?  Or is it a dynamical system?  While computation serves as a useful metaphor for cognitive processes\, as we delve into the neuroanatomical circuits and physiological properties of brains we encounter structures and phenomena that seem foreign and unfamiliar in terms of standard computing models.  Highly recurrent circuits with massive interconnectivity\, attractor dynamics\, oscillations\, traveling waves\, and active sensing are all hallmarks of biological neural systems.  How do we make sense of these things in terms of “computation?”  Or are we working with the wrong metaphor?  Here I shall present a number of recent findings from neuroscience that challenge us to think in new ways about the underlying physical processes governing perception and cognition. \nBio: Bruno OIshausen is Professor of Neuroscience and Optometry at the University of California\, Berkeley.  He also serves as Director of the Redwood Center for Theoretical Neuroscience\, an interdisciplinary research group focusing on mathematical and computational models of brain function.  He received B.S. and M.S. degrees in Electrical Engineering from Stanford University\, and a Ph.D. in Computation and Neural Systems from the California Institute of Technology.  Prior to Berkeley he was a member of the Departments of Psychology and Neurobiology\, Physiology & Behavior at UC Davis.  During postdoctoral work with David Field at Cornell he developed the sparse coding model of visual cortex which provides a linking principle between natural scene statistics and the response properties of visual neurons.  Olshausen’s current research aims to understand the information processing strategies employed by the brain for doing tasks such as object recognition and scene analysis.  This work seeks not only to advance our understanding of the brain\, but also to discover new algorithms for scene analysis based on how brains work. \nFor the meeting link\, see the full INRC Forum Spring 2023 Schedule (accessible only to INRC Affiliates and Fully Engaged Members).
URL:https://www.neuropac.info/event/inrc-forum-bruno-olshausen/2023-03-07/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230302T180000
DTEND;TZID=UTC:20230302T193000
DTSTAMP:20260415T000439
CREATED:20230127T223200Z
LAST-MODIFIED:20230127T223200Z
UID:10000007-1677780000-1677785400@www.neuropac.info
SUMMARY:Hands-on session with snnTorch
DESCRIPTION:Bio: Jason K. Eshraghian is an Assistant Professor at the Department of Electrical and Computer Engineering at UC Santa Cruz\, CA\, USA. Prior to that\, he was a Post-Doctoral Researcher at the Department of Electrical Engineering and Computer Science\, University of Michigan in Ann Arbor. He received the Bachelor of Engineering (Electrical and Electronic) and the Bachelor of Laws degrees from The University of Western Australia\, WA\, Australia in 2016\, where he also completed his Ph.D. Degree. \nProfessor Eshraghian was awarded the 2019 IEEE VLSI Best Paper Award\, the Best Paper Award at 2019 IEEE Artificial Intelligence CAS Conference\, and the Best Live Demonstration Award at 2020 IEEE ICECS for his work on neuromorphic vision and in-memory computing using RRAM. He currently serves as the secretary-elect of the IEEE Neural Systems and Applications Committee\, and was a recipient of the Fulbright Future Fellowship (Australian-America Fulbright Commission)\, the Forrest Research Fellowship (Forrest Research Foundation)\, and the Endeavour Fellowship (Australian Government).
URL:https://www.neuropac.info/event/hands-on-session-with-snntorch-2/
LOCATION:Online
CATEGORIES:Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230228T100000
DTEND;TZID=UTC:20230228T113000
DTSTAMP:20260415T000439
CREATED:20230129T155909Z
LAST-MODIFIED:20230129T155909Z
UID:10000013-1677578400-1677583800@www.neuropac.info
SUMMARY:EBRAINS - a solution-driven approach to enable brain science and technologies
DESCRIPTION:There will be great opportunities for data scientists looking to expand their knowledge\, companies looking for project partnerships\, cognitive psychologists who need the inspiration to improve their technology and more. \nProgramme: \n\n10h00 – 10h05: Introduction by France Nivelle\n10h05 – 10h20: EBRAINS Introduction and Scientific vision by Prof. dr. Viktor Jirsa\, Chief Science Officer at EBRAINS\, Professor at Aix-Marseille Université\, INS Director / DR CNRS\n10h20 – 10h35: EBRAINS Neurotechnology approach by Prof. Dr. Pieter Roelfsema\, MD\, PhD\, Director of the Netherlands Institute for Neuroscience\n10h35 – 10h50: The future of Brain Health within the EBRAINS Research Infrastructure by Univ.-Prof. Dr. med. Petra Ritter\, BIH Johanna Quandt Professor for Brain Simulation\, Director Brain Simulation Section\, Berlin Institute of Health & Dept. of Neurology\, Charité University Hospital Berlin\n10h50 – 11h05: A solution approach for EBRAINS Research Infrastructureby Prof. dr. ir. Liesbet Peeters\, Professor at the Biomedical Research Institute and Data Science Institute of Hasselt University\, Multiple Sclerosis Data Alliance Core Partner\n11h05 – 11h10: Concluding remarks by France Nivelle\n11h10 – 11h30: Q&A session\n\nClick here to register.
URL:https://www.neuropac.info/event/ebrains-a-solution-driven-approach-to-enable-brain-science-and-technologies/
LOCATION:Online
CATEGORIES:Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230223T163000
DTEND;TZID=UTC:20230223T173000
DTSTAMP:20260415T000439
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000038-1677169800-1677173400@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-02-23/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230219
DTEND;VALUE=DATE:20230220
DTSTAMP:20260415T000439
CREATED:20230127T224804Z
LAST-MODIFIED:20230127T224804Z
UID:10000010-1676764800-1676851199@www.neuropac.info
SUMMARY:Deadline: CapoCaccia Workshop 2023
DESCRIPTION:Workshop theme for 2023: “Lessons from machine learning and neuroscience for building efficient intelligent systems” \nFor more information\, see the official website.
URL:https://www.neuropac.info/event/deadline-capocaccia-workshop-2023/
LOCATION:Online
CATEGORIES:Deadline,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230214T180000
DTEND;TZID=UTC:20230214T193000
DTSTAMP:20260415T000439
CREATED:20230127T223002Z
LAST-MODIFIED:20230127T223002Z
UID:10000006-1676397600-1676403000@www.neuropac.info
SUMMARY:Giorgia Dellaferrera: PEPITA - A forward-forward alternative to backpropagation
DESCRIPTION:Bio: Giorgia Dellaferrera has completed her PhD in computational neuroscience at the Institute of Neuroinformatics (ETH Zurich and the University of Zurich) and IBM Research Zurich with Prof. Indiveri\, Prof. Eleftheriou and Dr. Pantazi. Her doctoral thesis focused on the interplay between neuroscience and artificial intelligence\, with an emphasis on learning mechanisms in brains and machines. During her PhD\, she visited the lab of Prof. Kreiman at the Harvard Medical School (US)\, where she developed a biologically inspired training strategy for artificial neural networks. Before her PhD\, Giorgia obtained a master in Applied Physics at the Swiss Federal Institute of Technology Lausanne (EPFL) and worked as an intern at the Okinawa Institute of Science and Technology\, Logitech\, Imperial College London\, and EPFL.
URL:https://www.neuropac.info/event/giorgia-dellaferrera-pepita-a-forward-forward-alternative-to-backpropagation/
LOCATION:Online
CATEGORIES:Talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230209T163000
DTEND;TZID=UTC:20230209T173000
DTSTAMP:20260415T000439
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000037-1675960200-1675963800@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-02-09/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230131
DTEND;VALUE=DATE:20230201
DTSTAMP:20260415T000439
CREATED:20230129T220720Z
LAST-MODIFIED:20230129T220720Z
UID:10000020-1675123200-1675209599@www.neuropac.info
SUMMARY:Deadline: International Joint Conference on Neural Networks (IJCNN)
DESCRIPTION:The International Joint Conference on Neural Networks is organized jointly by the International Neural Network Society and the IEEE Computational Intelligence Society\, and is the premiere international meeting for researchers and other professionals in neural networks and related areas. \nEach year\, the conference features invited plenary talks by world-renowned speakers in the areas of neural network theory and applications\, computational neuroscience\, robotics\, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations\, the conference program will include special sessions\, competitions\, tutorials\, and workshops on topics of current interest.
URL:https://www.neuropac.info/event/deadline-international-joint-conference-on-neural-networks-ijcnn/
LOCATION:Online
CATEGORIES:Conference,Deadline
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230129T080000
DTEND;TZID=UTC:20230129T170000
DTSTAMP:20260415T000439
CREATED:20230129T160004Z
LAST-MODIFIED:20230129T160004Z
UID:10000014-1674979200-1675011600@www.neuropac.info
SUMMARY:Anatomy and function of the prefrontal cortex across species
DESCRIPTION:Understanding the human brain relies for a large part on work in animal models\, which necessitates a careful cross-species comparison. The prefrontal cortex (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational scientists whose work allows a comparison of the anatomy and function of the PFC between species (in particular between humans\, monkeys and mice). \nEBRAINS is uniquely suited to provide a platform to compare anatomy\, physiology and behaviour between species\, due to its atlases\, numerous datasets\, as well as the whole brain models from different species. The interactive format of the workshop will allow speakers as well as non-speakers from largely separated fields to interact and discuss\, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology\, formats and important research directions in the field. \nRegister here
URL:https://www.neuropac.info/event/anatomy-and-function-of-the-prefrontal-cortex-across-species/
LOCATION:Paris\, Paris\, France
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230126T180000
DTEND;TZID=UTC:20230126T193000
DTSTAMP:20260415T000439
CREATED:20230127T222756Z
LAST-MODIFIED:20230127T222756Z
UID:10000005-1674756000-1674761400@www.neuropac.info
SUMMARY:Nengo - Applied Brain Research
DESCRIPTION:Bio: Trevor Bekolay’s primary research interest is in learning and memory. In his Master’s degree\, he explored how to do supervised\, unsupervised\, and reinforcement learning in networks of biologically plausible spiking neurons. In his PhD\, he applied this knowledge to the domain of speech to explore how sounds coming into the ear become high-level linguistic representations\, and how those representations become sequences of vocal tract movements that produce speech.\nTrevor is also passionate about reproducible science\, particularly when complex software pipelines are involved. In 2013\, he started a development effort to reimplement the Nengo neural simulator from scratch in Python\, which has now grown to a project with over 20 contributors around the world. \nAbout the host: Open Neuromorphic\nONM is an organization that aims at providing one place to reference all relevant open-source project in the neuromorphic research domain.
URL:https://www.neuropac.info/event/nengo-applied-brain-research/
LOCATION:Online
CATEGORIES:Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230126T163000
DTEND;TZID=UTC:20230126T173000
DTSTAMP:20260415T000439
CREATED:20230127T222256Z
LAST-MODIFIED:20230828T170621Z
UID:10000004-1674750600-1674754200@www.neuropac.info
SUMMARY:Theory of Neuromorphic Computing
DESCRIPTION:Recurring discussion meeting by researchers interested in the theory of neuromorphic computing. \nHosted by Arne Diehl and Johan Kwisthout of Radboud University. To join the meetings\, please contact Arne Diehl: arne.diehl@donders.ru.nl.
URL:https://www.neuropac.info/event/theory-of-neuromorphic-computing/2023-01-26/
LOCATION:Online
CATEGORIES:Discussion
ORGANIZER;CN="Arne Diehl":MAILTO:arne.diehl@donders.ru.nl
END:VEVENT
END:VCALENDAR