arXiv: cs.AI preprintsInternational6 November 2026
Oscillatory Phase Coding Emerges in Adaptive RNNs for Flexible Working Memory
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arXiv:2611.06932v1 Announce Type: cross Abstract: Oscillatory phase coding (OPC) is widely observed in neural systems and has been implicated in cognitive functions such as memory and sequence processing. However, its computational role and neural substrates remain largely unclear. Here, we studied OPC by training recurrent neural networks (RNNs) with adaptation to perform sequence working memory tasks with variable delays. After training, we found that OPC emerges in the RNN spontaneously: the memorized items recur at distinct phases of a shared rhythm, with oscillation amplitude encoding ite
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