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: | , , , |
---|---|
其他作者: | |
格式: | 文件 |
语言: | English |
出版: |
Springer US
2023
|
在线阅读: | https://hdl.handle.net/1721.1/152188 |