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The Timing of Reward-Seeking Action Tracks Visually Cued Theta Oscillations in Primary Visual Cortex.

Authors :
Levy JM
Zold CL
Namboodiri VMK
Hussain Shuler MG
Source :
The Journal of neuroscience : the official journal of the Society for Neuroscience [J Neurosci] 2017 Oct 25; Vol. 37 (43), pp. 10408-10420. Date of Electronic Publication: 2017 Sep 25.
Publication Year :
2017

Abstract

An emerging body of work challenges the view that primary visual cortex (V1) represents the visual world faithfully. Theta oscillations in the local field potential (LFP) of V1 have been found to convey temporal expectations and, specifically, to express the delay between a visual stimulus and the reward that it portends. We extend this work by showing how these oscillatory states in male, wild-type rats can even relate to the timing of a visually cued reward-seeking behavior. In particular, we show that, with training, high precision and accuracy in behavioral timing tracks the power of these oscillations and the time of action execution covaries with their duration. These LFP oscillations are also intimately related to spiking responses at the single-unit level, which themselves carry predictive timing information. Together, these observations extend our understanding of the role of cortical oscillations in timing generally and the role of V1 in the timing of visually cued behaviors specifically. SIGNIFICANCE STATEMENT Traditionally, primary visual cortex (V1) has been regarded as playing a purely perceptual role in stimulus-driven behaviors. Recent work has challenged that view by showing that theta oscillations in rodent V1 may come to convey timed expectations. Here, we show that these theta oscillations carry predictive information about timed reward-seeking actions, thus elucidating a behavioral role for theta oscillations in V1 and extending our understanding of the role of V1 in decision making.<br /> (Copyright © 2017 the authors 0270-6474/17/3710408-13$15.00/0.)

Details

Language :
English
ISSN :
1529-2401
Volume :
37
Issue :
43
Database :
MEDLINE
Journal :
The Journal of neuroscience : the official journal of the Society for Neuroscience
Publication Type :
Academic Journal
Accession number :
28947572
Full Text :
https://doi.org/10.1523/JNEUROSCI.0923-17.2017