Kavli Affiliate: Jessica Cardin
| Authors: Quentin Perrenoud, Antonio H. de O. Fonseca, Austin Airhart, James Bonanno, Rong Mao and Jessica A Cardin
| Summary:
Although behaviorally relevant patterns of neocortical activity in specific frequency bands have been broadly characterized, identifying individual underlying network events remains a key challenge in understanding information processing in cortical circuits. Using a novel analytical method for temporally precise detection of discrete network events, we identified and tracked discrete sets of events underlying two major forms of state-dependent activity patterns in mouse V1 cortex in the β (15-30Hz) and γ (30-80Hz) ranges. γ events regulated spike timing and selectively enhanced visual encoding. Precise tracking revealed that γ, but not β, event rates increased prior to visually cued behavioral responses and were predictive of trial-by-trial visual task performance. Finally, the task-related temporal dynamics of γ events exhibited rapid plasticity during task learning and were modality-specific. γ events in mouse V1 thus flexibly enhance visual encoding according to behavioral context.