Task-Parametrized dynamics: Representation of time and decisions in recurrent neural networks
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How do recurrent neural networks (RNNs) internally represent elapsed time to initiate responses after learned delays? To address this question, we trained RNNs on delayed decision-making tasks with progressively increasing temporal demands, including binary de... ...