Leenoy Meshulam

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

This study investigates how cephalopods process visual information, revealing hierarchical processing and polarization sensitivity in their visual system.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

This paper studies how RNNs solve a hierarchical inference task with two latent variables and disparate timescales, finding they learn behavior similar to Bayesian baselines and develop interpretable models through knowledge distillation.