Daniel J. Millman

The paper identifies neural assemblies consistent with Hebb's theory using a novel dataset linking optical physiology to connectivity, finding they are structurally integrated but not defined by strong monosynaptic connections.

This study compares neuronal responses in visual cortex using electrophysiology and two-photon imaging in awake mice, finding differences in responsiveness and selectivity and exploring data transformations to reconcile them.

The paper presents a dataset and analysis of spiking activity across multiple mouse visual areas, revealing that functional connectivity mirrors anatomical hierarchy.

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

The paper shows VIP interneurons in mouse visual cortex have complementary contrast tuning to SST neurons and synergistically respond to visual motion and locomotion, enhancing behaviorally-relevant stimuli while maintaining network stability.

The paper identifies genetic markers for 19 out of 39 cortical areas using a random forest algorithm and the Allen Mouse Brain Atlas.

This study shows that the olfactory tubercle, not the posterior piriform cortex, rapidly encodes reward category during odor-reward learning, preceding motor actions.