Invariant and Selective Representations in Visual Cortex Published 2016-04-05 Download video MP4 360p Download video MP4 720p Recommendations 56:14 The Simplest Neural Model and a Hypothesis for Language 47:22 Statistical learning in human sensorimotor control 56:32 How fly neurons compute the direction of visual motion 59:38 Mindgames 26:46 Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips 44:42 The Debate Over “Understanding” in AI’s Large Language Models 04:57 A ubiquitous spectrolaminar motif of local field potential power across the primate cortex 59:06 Navigating Progress in AI and Neuroscience 08:38 What is Consciousness? Integrated Information Theory 09:15 Liquid Neural Networks: Sequential data processing and real-time adaptation 1:27:21 CBMM10 Panel: Research on Intelligence in the Age of AI 01:21 How can looking at a heart's electrical signals save lives? 14:28 Can we build AI without losing control over it? | Sam Harris 44:06 Mystery of the Brain - Symposium 2019 Talk Giulio Tononi 11:17 But what is a neural network REALLY? 00:37 How many layers does the cerebral cortex have? 00:59 How do we tell where a sound is coming from? 47:01 Bridging Associative Memory and Probabilistic Modeling 06:05 Physics-Based vs. Data-Driven Methods – AI for Engineers | Episode 2 Similar videos 49:46 Invariant and non-invariant representations in mid-level ventral visual cortex 29:27 Neurally plausible mechanisms for learning selective and invariant representations - Fabio Anselmi 13:32 What Makes a Good Representation? From Invariance to Causality 09:16 Deep Learning Lecture 5.4 - Visual Cortex 46:12 Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks 53:14 Lecture 9.2: Haim Sompolinksy - Sensory Representations in Deep Networks 04:05 Invariant Representation Learning for Speech Recognition 14:13 Katrina Quinn - Feature-selective attention and decision activity in the visual cortex (Cosyne 2018) 52:00 Invariance and Stability to Deformations of Deep Convolutional Representations 03:22 From retina to cortex: An unexpected division of labor. 10:55 The raison d’être of the ventral visual pathway 15:37 4.2 - Shape processing in The Ventral Visual Pathway (LOC) 05:11 Semantic Representation in the Human Brain 27:05 Social visual representations in humans and machines 28:03 Tatyana Sharpee: How invariant feature selectivity is achieved in cortex 1:01:18 Henning Sprekeler: Invariant neural subspaces maintained by feedback modulation 1:04:38 Neural Representations of Categories 10:44 2.14 - Double Dissociations (Prosopagnosia vs. Agnosia) 1:03:54 Using neural decoding to study object and action recognition in the human brain More results