Michael Kleinman

Critical Learning Periods Emerge Even in Deep Linear Networks

A cortical information bottleneck during decision-making

On the Structure and Learning of Perceptual Representations in Deep Neural Networks

Critical learning periods for multisensory integration in deep networks

Gacs-Korner Common Information Variational Autoencoder

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks

A mechanistic multi-area recurrent network model of decision-making

Redundant Information Neural Estimation