Simons Foundation

Publications

This section highlights papers whose authors are members of the SCGB.

Minimum perturbation theory of deep perceptual learning

H Shan, H. Sompolinsky

Associative memory of structured knowledge

J Steinberg, H. Sompolinsky

Sparse RNNs can support high-capacity classification

D Turcu, L. Abbott

Cortical-hippocampal coupling during manifold exploration in motor cortex

J Kim, A Joshi, L. Frank, K Ganguly

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

R Engelken, A Ingrosso, R Khajeh, S Goedeke, L. Abbott

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

MR Keshtkaran, AR Sedler, RH Chowdhury, R Tandon, D Basrai, SL Nguyen, H Sohn, M. Jazayeri, LE Miller, C Pandarinath

Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures

N Hiratani, H. Sompolinsky

Coordinated multiplexing of information about separate objects in visual cortex

NY Jun, DA Ruff, LE Kramer, B Bowes, ST Tokdar, M. Cohen, JM Groh

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

S. Druckmann, N. Rust

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

CY Song, HL Hsieh, B. Pesaran, MM Shanechi