Publications

Simons Foundation

Minimum perturbation theory of deep perceptual learning

Associative memory of structured knowledge

Sparse RNNs can support high-capacity classification

Cortical-hippocampal coupling during manifold exploration in motor cortex

Input correlations impede suppression of chaos and learning in balanced firing-rate networks

A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures

Coordinated multiplexing of information about separate objects in visual cortex

Unraveling the Entangled Brain: How Do We Go About It?

Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations