Research output: Contribution to journal › Article › peer-review
Dustin Hayden, Daniel Montgomery, Samuel Cooke, M.F. Bear
Original language | English |
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Article number | JN-RM-0391-21 |
Pages (from-to) | 6257-6272 |
Number of pages | 16 |
Journal | Journal of Neuroscience |
Volume | 41 |
Issue number | 29 |
Early online date | 8 Jun 2021 |
DOIs | |
E-pub ahead of print | 8 Jun 2021 |
Published | 21 Jul 2021 |
Additional links |
Learning to recognize and filter familiar, irrelevant sensory stimuli eases the computational burden on the cerebral cortex. Inhibition is a candidate mechanism in this filtration process, and oscillations in the cortical local field potential (LFP) serve as markers of the engagement of different inhibitory neurons. We show here that LFP oscillatory activity in visual cortex is profoundly altered as male and female mice learn to recognize an oriented grating stimulus—low-frequency (;15 Hz peak) power sharply increases, whereas high-frequency (;65 Hz peak) power decreases. These changes report recognition of the familiar pattern as they disappear when the stimulus is rotated to a novel orientation. Two-photon imaging of neuronal activity reveals that parvalbumin-expressing inhibitory neurons disengage with familiar stimuli and reactivate to novelty, whereas somatostatin-expressing inhibitory neurons show opposing activity patterns. We propose a model in which the balance of two interacting interneuron circuits shifts as novel stimuli become familiar.
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