Tatyana Sharpee How Invariant Feature Selectivity Is Achieved In Cortex

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Tatyana Sharpee: How invariant feature selectivity is achieved in cortex

Tatyana Sharpee: How invariant feature selectivity is achieved in cortex

Tatyana Sharpee: How invariant feature selectivity is achieved in cortex 2018 Computational Neuroscience Workshop - Talk by Dr. Tatyana Sharpee (Salk) and Open Discussion 4.3 - Category Selectivity in the VVP Session 4A Keynote Tatyana Sharpee Invariant and non-invariant representations in mid-level ventral visual cortex Invariant and Selective Representations in Visual Cortex Scale Invariance Explained by Bacteria Lecture 6: Hyperbolic geometry and information maximization in biological circuits Tatyana Sharpee - Hyperbolic geometry of the olfactory space Tatyana Sharpee - Where Cures Begin – Episode 016 Tatyana Sharpee - Information-Theoretic Principles in Learning and Decision Making Allison J. Doupe Memorial Symposium - Tatyana Sharpee, PhD Hyperbolic geometry and symmetry breaking in neural circuits “The Computational Magic of Pattern Recognition in Cortex: (…)” Dr. Tomaso Poggio (ICPRAM 2013) CRCNS 12-7-2023 Hyperbolic geometry in neural responses and natural stimuli - Tatyana Sharpee Lecture 3: Hyperbolic geometry and information maximization in biological circuits Salk physicist Tatyana Sharpee uses information theory to understand the mysteries of the brain Stefano Soatto: "Invariance and disentanglement in deep representations" The shape of things and the organization of object-selective cortex Lecture 10: Learning in the cortex

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