Context-dependent persistency as a coding mechanism for robust and widely distributed value coding

Task-related information is widely distributed across the brain with different coding properties, such as persistency. We found in mice that coding persistency of action history and value was variable across areas, learning phases, and task context, with the highest persistency in the retrosplenial...

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Vydané v:Neuron (Cambridge, Mass.) Ročník 110; číslo 3; s. 502
Hlavní autori: Hattori, Ryoma, Komiyama, Takaki
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 02.02.2022
Predmet:
Animals
Gyrus Cinguli
Learning - physiology
Mice
Neurons - physiology
Reinforcement, Psychology
context dependent
deep learning
history coding
value-based decision making
recurrent neural network
manifold
machine learning
persistent coding
reinforcement learning
retrosplenial cortex
ISSN:1097-4199, 1097-4199
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Shrnutí:Task-related information is widely distributed across the brain with different coding properties, such as persistency. We found in mice that coding persistency of action history and value was variable across areas, learning phases, and task context, with the highest persistency in the retrosplenial cortex of expert mice performing value-based decisions where history needs to be maintained across trials. Persistent coding also emerged in artificial networks trained to perform mouse-like reinforcement learning. Persistency allows temporally untangled value representations in neuronal manifolds where population activity exhibits cyclic trajectories that transition along the value axis after action outcomes, collectively forming cylindrical dynamics. Simulations indicated that untangled persistency facilitates robust value retrieval by downstream networks. Even leakage of persistently maintained value through non-specific connectivity could contribute to the brain-wide distributed value coding with different levels of persistency. These results reveal that context-dependent, untangled persistency facilitates reliable signal coding and its distribution across the brain.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1097-4199
1097-4199
DOI:10.1016/j.neuron.2021.11.001