Search for tag: "neural networks"

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01:40:23 Functional self-reconfiguration processes in… Functional self-reconfiguration processes in neuronal networks	Functional self-reconfiguration processes in neuronal networks Abstract: Flexible function is essential for the brain to cope with varying environments, changing quality of sensory information as well as context dependency. This requires organized communication… neuromorphic neuromorphic computing dynamical systems neural networks neural computation From Luis El Srouji 0 likes 11 plays 0
01:00:35 15th Joint Math/Stat Colloquium by Michael… 15th Joint Math/Stat Colloquium by Michael Bronstein (Oxford): Physics-inspired Learning on Graphs	15th Joint Math/Stat Colloquium by Michael Bronstein (Oxford): Physics-inspired Learning on Graphs This is a video recording of the 15th Joint Math/Stat Colloquium (also a part of the MADDD seminar series) by Prof. Michael Bronstein on "Physics-inspired Learning on Graphs."Abstract: The… joint math/stat colloquium graph (mathematics) neural networks machine learning diffusion graph graphs neighbors nodes networks node structure matrix kind equation form features geometry energy gradient evolution function space thing From Naoki Saito 0 likes 15 plays 0
39:48 Vector Symbolic Architectures Vector Symbolic Architectures	Vector Symbolic Architectures Luis El Srouji leads a discussion on Vector Symbolic Architectures (VSA). VSAs are a mathematical framework in which basis vectors encode some attribute (color, weight, etc) while some binding… vector symbolic architecture circular convolution spiking neural networks neuromorphic From Luis El Srouji 0 likes 144 plays 0
42:29 Meeting 5-18-21: Neural Engineering Framework Meeting 5-18-21: Neural Engineering Framework	Meeting 5-18-21: Neural Engineering Framework Algorithmic Frameworks for Neuromorphic Computing: Neural Engineering Framework (NEF) Luis El Srouji gives an overview and explanation of the Neural Engineering Framework which can calculate weight… neuromorphic neuroscience spiking neural networks vector neurons ensemble neuron activity function vectors input direction transformations radius model framework x. dimensions values matrix space representation population From Luis El Srouji 0 likes 19 plays 0
01:22:49 Meeting 4-20-21: Diamond Mesh MZI-based Optical… Meeting 4-20-21: Diamond Mesh MZI-based Optical Processor	Meeting 4-20-21: Diamond Mesh MZI-based Optical Processor Dr. Farhad Shokraneh goes over his recent work on an optical processor for neural networks, and describes the features which make this architecture more fault- and loss-tolerant than other similar… neural networks photonics mesh phase structure matrix diamond structures output shifters loss backpropagation errors process network mci eyes question amount accuracy intensity power From Luis El Srouji 0 likes 16 plays 0
48:26 Gary Ford Gary Ford	Gary Ford Name: Gary Ford Interviewer: V. Ralph Algazi Date Interviewed: 1/8.14 Date Appointed: 1976 Date Retired: 2011 Department: Electrical and Computer Engineering In this conversation , Emeritus… the time iowa neural networks remote sensing students studying period of study davis county graduation education and upbringing pattern recogniton and processing engineering communication theory faculties university & college berkeley schools courses (education) education image processing campus lot things faculty davis graduate summer point computer student courses award department instrumentation bit teaching model programs From Emeriti 0 likes 68 plays 0