Divisive normalization in a recurrent network yields low-rank slow manifolds that support continuous working memory, whereas subtractive inhibition shatters them under time-varying input.
and Qi, Xue-Lian and Wang, Min and Arnsten, Amy F.T
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Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory
Divisive normalization in a recurrent network yields low-rank slow manifolds that support continuous working memory, whereas subtractive inhibition shatters them under time-varying input.