Haim Sompolinsky - Theory and Models of Memory in Distributed Neuronal Circuits - Part 1
Haim Sompolinsky, Harvard University | Machine Learning Workshop
Haim Sompolinsky - Lecture 4
Haim Sompolinsky - DeepManifolds: Geometry of Computation in Deep Networks
Statistical Mechanics of Deep Learning ▸ Haim Sompolinsky (Hebrew Univ.)
Haim Sompolinsky - Theory and Models of Memory in Distributed Neuronal Circuits - Part 2
Haim Sompolinsky: "Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension"
Haim Sompolinsky - Lecture 2
Neural Representations of Categories
Haim Sompolinsky - Lecture 3 (part 1)
Lecture 9.2: Haim Sompolinksy - Sensory Representations in Deep Networks
Haim Sampolinsky - Theory-based measures of object representations
Learning and Forgetting in Brain and Machines - Haim Sompolinsky
Haim Sompolinsky - Lecture 5
2022 Gruber Neuroscience Prize
Brain Prize 2024 | Prof. Haim Sompolinsky
Haim Sompolinsky - Lecture 1
Distributed Representations of Categorical and Relational Knowledge - Haim Sompolinsky
Haim Sompolinsky - Lecture 3 (part 2)
Geometry of concept learning | Haim Sompolinsky The Hebrew University & Harvard
