A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells
Frontiers in Computational Neuroscience · Feb 9, 2023Peer-reviewedNeuroscience
Author
Yuanxiang Gao
University of Electronic Science and Technology of ChinaORCID 0000-0002-6587-6973Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells
This paper proposes a computational theory for learning flexible reward-seeking behavior using place cells, showing improved learning efficiency and flexibility in a virtual rat model.
bioRxiv · Apr 23, 2022 · PreprintNeuroscience