Yoram Burak

The paper shows that irregular neural responses can achieve efficient coding without fine-tuning, using a random synaptic network model and monkey motor cortex data.

The paper shows a simple mathematical model explains the statistical properties of hippocampal place fields across species and environments.

The paper identifies a neural mechanism using slow excitatory and fast inhibitory synapses to stabilize memory in attractor networks against noise.

This study shows that grid-cell modules remain coordinated in darkness, even when their internal position representation diverges from the animal's true position.

The paper identifies fixational drift as arising from diffusive dynamics in central neural circuitry, specifically the oculomotor integrator, using primate data and theoretical modeling.

The paper shows that grid cell activity forms a toroidal manifold, supporting continuous attractor network dynamics in the medial entorhinal cortex.

The paper proposes a theoretical model of coupled grid cell modules to stabilize position encoding in the medial entorhinal cortex while preserving large capacity.