The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
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