How visual information becomes stable, flexible population representations
Summary
We study how populations of neurons represent the visual world, transform those representations across areas, and preserve the information that perception and behavior need. Our large-scale survey of the mouse visual system mapped a functional hierarchy across cortical and subcortical regions, while our work on multi-regional functional modules identified structured routes for signal transmission. More recently, we outlined how digital twins can map neuronal selectivity and invariance through model-guided experiments. We now ask which visual features are carried by neurons, populations, and functional modules; how selectivity and invariance change across the hierarchy; and when timing, synchrony, or population trajectories add information beyond average firing rates.
From the lab
Related publications from our group
Mapping neuronal selectivity and invariance in the mammalian visual cortex using digital twins
A perspective on using predictive models and model-guided experiments to map the organizing dimensions of visual response.
Multi-regional module-based signal transmission in mouse visual cortex
Identifies functional modules that route signals across cortical areas and timescales.
Survey of spiking in the mouse visual system reveals functional hierarchy
Maps visual response properties across cortical and subcortical areas using large-scale recordings.
Gamma and the coordination of spiking activity in early visual cortex
Tests how rhythmic population activity coordinates spikes and depends on visual drive.