Aidan M Schneider

This study shows that mice improve prey capture by reorganizing search strategies in complex environments, using memory and learned object values.

The paper identifies a high-frequency, millisecond-scale brain state embedding that persists across sleep and wake states and correlates with behavior.

This study shows neurons encode their anatomical location in spike trains, which can be decoded across brain regions and conditions.

This study shows that sleep restores criticality in cortical networks, a computational regime that optimizes information processing, more accurately than traditional measures like SWA.

This study shows that tauopathy disrupts network-level homeostatic set-points in hippocampal activity but not individual neuron activity, with implications for computational capacity and behavior.

The paper investigates whether transcriptomic cell type can be inferred from neuronal activity timing across multiple time scales using deep learning.