Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation

Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation

Abstract Prefrontal cortical neurons play essential roles in performing rule-dependent tasks and working memory-based decision making. Motivated by PFC recordings of task-performing mice, we developed an excitatory–inhibitory spiking recurrent neural network (SRNN) to perform a rule-d...

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Bibliographic Details
Main Authors: Xue, Xiaohe, Wimmer, Ralf D., Halassa, Michael M., Chen, Zhe S.
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: Springer US 2023
Online Access:https://hdl.handle.net/1721.1/152188

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https://hdl.handle.net/1721.1/152188

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