Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
Structure and function of the feed-forward loop network motif
2 Pith papers cite this work. Polarity classification is still indexing.
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Simulations demonstrate that serial output pathways from a self-sustained circadian oscillator buffer period fluctuations, with the buffering depending on parameters and saturating with longer path lengths.
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Identifying structural design principles shaping the computational abilities of recurrent neural networks
Local 2- and 3-cycles enhance RNN computational capacity for Boolean functions, predicted by structural statistics, while adding interneurons boosts large networks.
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Circadian output network can buffer period variability
Simulations demonstrate that serial output pathways from a self-sustained circadian oscillator buffer period fluctuations, with the buffering depending on parameters and saturating with longer path lengths.