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Medial prefrontal cortex population activity is plastic irrespective of learning

Singh, Abhinav; Peyrache, Adrien; Humphries, Mark D.

Authors

Abhinav Singh

Adrien Peyrache

MARK HUMPHRIES Mark.Humphries@nottingham.ac.uk
Professor of Computational Neuroscience



Abstract

The prefrontal cortex is thought to learn the relationships between actions and their outcomes. But little is known about what changes to population activity in prefrontal cortex are specific to learning these relationships. Here we characterise the plasticity of population activity in the medial prefrontal cortex of male rats learning rules on a Y-maze. First, we show that the population always changes its patterns of joint activity between the periods of sleep either side of a training session on the maze, irrespective of successful rule learning during training. Next, by comparing the structure of population activity in sleep and training, we show that this population plasticity differs between learning and non-learning sessions. In learning sessions, the changes in population activity in post-training sleep incorporate the changes to the population activity during training on the maze. In non-learning sessions, the changes in sleep and training are unrelated. Finally, we show evidence that the non-learning and learning forms of population plasticity are driven by different neuron-level changes, with the non-learning form entirely accounted for by independent changes to the excitability of individual neurons, and the learning form also including changes to firing rate couplings between neurons. Collectively, our results suggest two different forms of population plasticity in prefrontal cortex during the learning of action-outcome relationships, one a persistent change in population activity structure decoupled from overt rule-learning, the other a directional change driven by feedback during behaviour.

Citation

Singh, A., Peyrache, A., & Humphries, M. D. (2019). Medial prefrontal cortex population activity is plastic irrespective of learning. Journal of Neuroscience, 39(18), 3470-3483. https://doi.org/10.1523/JNEUROSCI.1370-17.2019

Journal Article Type Article
Acceptance Date Jan 11, 2019
Online Publication Date Feb 27, 2019
Publication Date May 1, 2019
Deposit Date Jan 16, 2019
Publicly Available Date Aug 28, 2019
Journal Journal of Neuroscience
Electronic ISSN 1529-2401
Publisher Society for Neuroscience
Peer Reviewed Peer Reviewed
Volume 39
Issue 18
Pages 3470-3483
DOI https://doi.org/10.1523/JNEUROSCI.1370-17.2019
Keywords General Neuroscience
Public URL https://nottingham-repository.worktribe.com/output/1476284

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