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Search results for: neuroscience
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Homological invariants of neural codes
... firing patterns of a set of neurons, turning problems in neuroscience and coding theory into algebraic questions. In this talk I will ...
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Affective artificial intelligence and its applications
... Kang Lee is Professor and Tier 1 CRC Chair in developmental neuroscience at the Universiteit of Toronto. For more than 2 decades, he has ...
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Workshop on Cortical Spreading Depression (CSD) and Related Neurological Phenomena
... the areas of mathematical modeling and experimentalists in neuroscience to address some of the fundamental issues related to neurovascular ...
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Coxeter Lecture Series: 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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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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Mathematics of Deep Learning
... of dropout for matrix factorization. Examples from neuroscience and computer vision will also be presented. ...
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Learning the Statistics of Full Images
... longstanding challenge in machine learning and computational neuroscience is to characterise the statistics of natural images. Traditionally ...
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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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21st Workshop on Modelling and Mining Networks (WAW 2026)
... information and social sciences, economics, biology, and neuroscience. The aim of the 21st Workshop on Modelling and Mining ...
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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, ...
