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Search results for: neuroscience
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2019-2020 Machine Learning Advances and Applications Seminar
... team with interests spanning machine learning, physics, and neuroscience. He was previously a visiting scholar in Surya Ganguli's lab at ... Bruno Olshausen's lab in the Redwood Center for Theoretical Neuroscience at UC Berkeley. Prior to his PhD, he spent several years working ...
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Threshold-linear networks, attractor moduli spaces, and oriented matroids
... networks (TLNs) are common models in theoretical neuroscience that are useful for modeling neural activity and computation in ...
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Generalized Cable Theory and Impedance of the Neural Tissue
... training at the group of computational and experimental neuroscience of renowned neuroscientist Alain Destexhe, at CNRS, ...
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Mathematics of Deep Learning
... of dropout for matrix factorization. Examples from neuroscience and computer vision will also be presented. ...
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Recent Advances in Brain-Inspired Self-Supervised Learning
... learning, based on ideas from cognitive science and neuroscience. First, I will discuss breakthroughs in neurally-inspired ...
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2014-2015 Distinguished Lecture Series in Statistical Sciences: Bin Yu
... in interdisciplinary research with scientists from genomics, neuroscience, and remote sensing. She is Member of the U.S. National Academy of ...
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Focus Program on Multi-scale Modelling of Wave Structures in Tissues
... in the areas of mathematical modelling, neuroscience and biophysics together to develop new ideas and perspectives ...
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A Coarse-Graining Approach to Mapping Cortical Parameter Space
... parameters in cortical models. A basic task in computational neuroscience is to constrain model parameters based on available data, and to ...
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An introduction to neural rings, neural ideals, and neural codes
... Cracking the neural code is one of the central challenges of neuroscience. Neural codes allow the brain to represent, process, and store ...
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Graduate Course on Large Scale Machine Learning
... advances in numerous fields, such as computational biology, neuroscience, data mining, signal processing, and finance, applications that ...
