Omri Barak

Trained recurrent neural networks develop phase-locked limit cycles in a working memory task

This paper shows that trained recurrent neural networks develop phase-locked limit cycles to support working memory through coupling with an external reference oscillation.

Revealing and reshaping attractor dynamics in large networks of cortical neurons

The paper studies attractor dynamics in cultured cortical networks, showing that stimulating specific attractors reduces their spontaneous occurrence while maintaining their evoked presence through pathway strengthening and weakening.

Representational drift as a result of implicit regularization

The paper investigates representational drift in neural networks and finds that learning occurs in three phases with sparsification during slow implicit regularization.

Experience, not time, determines representational drift in the hippocampus

The paper shows that experience, not time, drives representational drift in hippocampal place cells during repeated exposure to familiar environments.

Cell-type specific outcome representation in primary motor cortex

The paper identifies layer-specific outcome signals in mouse motor cortex that support reinforcement learning of skilled movements.