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.
The majority of patients admitted to a general acute care hospital following a drug overdose have a history of previous suicide attempts and are followed by a mental health professional. The changing pattern of drugs used over two decades reflects trends in drugs used in the community in general and by patients with mental illness in particular. Discharge disposition has changed over time and is related to patients' insurance status.
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