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...
Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer US
2023
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Online Access: | https://hdl.handle.net/1721.1/152188 |