Gabriel Koch Ocker

This study shows that non-canonical olfaction, where olfactory receptors are co-expressed, is optimal in specific olfactory environments with correlated odorants and irrelevant sources.

This study tracks CA1 engram cell dynamics before and after learning, showing they are influenced by intrinsic activity, behavior, and memory.

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

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 shows that recurrent synaptic networks in the mouse cortex strongly control neural activity dimensionality across time and brain areas, mediated by cell-type specific network motifs present in both mouse and human brains.

The paper models neural connectivity under constraints on total synaptic weight and finds that fixed total connection strength better explains Kenyon cell connectivity in Drosophila mushroom bodies than other models.

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.

This paper investigates how dimensionality in spiking neural networks is influenced by connectivity and stimulus input, revealing principles linking local connectivity to global activity patterns.

The paper develops a biophysically detailed in silico model of layer 4 of the mouse primary visual cortex, showing how functional synaptic connectivity reproduces experimental observations of neuronal responses to visual stimuli.

This paper develops a mean field theory showing how spike timing plasticity leads to the formation and maintenance of neuronal assemblies through spike train correlations.

The paper links network connectivity statistics to spike time statistics in neuronal networks, showing how local connectivity features predict global activity patterns and how plasticity rules can coevolve connectivity and spiking statistics.

This paper develops a framework to link neural connectivity and activity in nonlinear spiking networks, showing how structure and nonlinearities shape population activity.