Training a recurrent network with 80% fast and 20% slow neurons on a context-dependent working memory task works best when the slow time constant is about ten, with slow neurons acting as the memory holders.
Autocorrelation structure at rest predicts value correlates of single neurons during reward- guided choice,
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Slow and Fast Neurons Cooperate in Contextual Working Memory through Timescale Diversity
Training a recurrent network with 80% fast and 20% slow neurons on a context-dependent working memory task works best when the slow time constant is about ten, with slow neurons acting as the memory holders.