Heterogeneity and dynamics of cortical populations coding visual detection

TL;DR

This study reveals that visual detection in the cortex is more closely linked to the heterogeneity and transient activity patterns of neuronal populations than to overall response strength, highlighting the importance of activity differentiation.

Contribution

It demonstrates that detection correlates with population response heterogeneity and transient activity patterns, challenging models based on stable networks or bulk signals.

Findings

Detection correlates with response heterogeneity

Consistent activation patterns are observed during hits

Transient neuronal differentiation predicts detection

Abstract

Previous studies have demonstrated the importance of the primary sensory cortex for the detection, discrimination and awareness of visual stimuli, but it is unknown how neuronal populations in this area process detected and undetected stimuli differently. Critical differences may reside in the mean strength of responses to visual stimuli, as reflected in bulk signals detectable in fMRI, EEG or MEG studies, or may be more subtly composed of differentiated activity of individual sensory neurons. Quantifying single-cell Ca2+ responses to visual stimuli recorded with in vivo 2-photon imaging, we found that visual detection correlates more strongly with population response heterogeneity rather than overall response strength. Moreover, neuronal populations showed consistencies in activation patterns across temporally spaced trials in association with hit responses, but not during non-detections. Contrary to models relying on temporally stable networks or bulk-signaling, these results suggest that detection depends on transient differentiation in neuronal activity within cortical populations.