Reward timing and its expression by inhibitory interneurons in the mouse primary visual cortex
| Autor: | Kevin J. Monk, Simon Allard, Marshall G. Hussain Shuler |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
Computer science Cognitive Neuroscience Biology Stimulus (physiology) Optogenetics Inhibitory postsynaptic potential 03 medical and health sciences Cellular and Molecular Neuroscience Mice 0302 clinical medicine Reward Interneurons medicine Reaction Time Animals Learning Sensory cortex 030304 developmental biology Visual Cortex 0303 health sciences Cognition Primary sensory cortex In vivo electrophysiology medicine.anatomical_structure Visual cortex Original Article Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Cereb Cortex |
| DOI: | 10.1101/785824 |
| Popis: | The primary sensory cortex has historically been studied as a low-level feature detector, but has more recently been implicated in many higher-level cognitive functions. For instance, after an animal learns that a light predicts water at a fixed delay, neurons in the primary visual cortex (V1) can produce “reward timing activity” (i.e., spike modulation of various forms that relate the interval between the visual stimulus and expected reward). Local manipulations to V1 implicate it as a site of learning reward timing activity (as opposed to simply reporting timing information from another region via feedback input). However, the manner by which V1 then produces these representations is unknown. Here, we combine behavior, in vivo electrophysiology, and optogenetics to investigate the characteristics of and circuit mechanisms underlying V1 reward timing in the head-fixed mouse. We find that reward timing activity is present in mouse V1, that inhibitory interneurons participate in reward timing, and that these representations are consistent with a theorized network architecture. Together, these results deepen our understanding of V1 reward timing and the manner by which it is produced. |
| Databáze: | OpenAIRE |
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