Greggory R. Heller

This study shows that mice and artificial neural networks reuse modular neuronal subspaces to perform complex cognitive tasks.

The paper presents a database of spiking activity in the mouse visual system during an image change detection task, revealing task-specific coding patterns across brain regions.

This study identifies CDKL5-mediated phosphorylation of nELAVL as critical for regulating RNA metabolism and condensate communication, essential for visual cortex maturation.

This study identifies circHomer1 as a circRNA critical for synaptic development and experience-dependent plasticity in mouse visual cortex through transcriptome analysis and knockdown experiments.

This paper introduces PhysMAP, a framework that uses multimodal electrophysiological data to identify and study cell types in vivo, showing improved alignment with transcriptomic cell types and circuit dynamics.

PhysMAP identifies neuronal cell types from electrophysiological data by integrating multiple modalities, outperforming single-modal approaches in mouse brain recordings.

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 tracks spiking activity across six levels of the mouse visual hierarchy to identify two multi-regional communication modules with distinct signal flow and functional roles.