Lecture 9.2: Haim Sompolinksy - Sensory Representations in Deep Networks
Haim Sompolinsky - Theory and Models of Memory in Distributed Neuronal Circuits - Part 1
Haim Sompolinsky - Theory and Models of Memory in Distributed Neuronal Circuits - Part 2
Haim Sompolinsky - Lecture 1
Sompolinsky II Beg Rohu 2018
Prof. Haim Sompolinsky
Distributed Representations of Categorical and Relational Knowledge - Haim Sompolinsky
Sompolinsky III Beg Rohu 2018
Neural Representations of Categories
Haim Sompolinsky: "Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension"
The Future of Brain Research: Yadin Dudai and Haim Sompolinsky
Sompolinsky VII Beg Rohu 2018
Cinema and Brain: Prof. Haim Sompolinsky
Geometry of concept learning | Haim Sompolinsky The Hebrew University & Harvard
Haim Sompolinsky - Balanced connectivity in deep neuronal networks
Sompolinsky V Beg Rohu 2018
Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning
Haim Sampolinsky - Theory-based measures of object representations
6/7/14 Circuits for Intelligence - Ed Boyden: Tools For Mapping the Circuits of Intelligence
Lecture 7.2: Josh McDermott - Introduction to Audition, Part 2
