Abstract:Despite music's omnipresence, the specific neural mechanisms responsible to perceive and anticipate temporal patterns in music are unknown. To study potential mechanisms for keeping time in rhythmic contexts, we train a biologically constrained RNN on seven different stimulus tempos (2 to 8Hz) on a synchronization and continuation task, a standard experimental paradigm. Our trained RNN generates a network oscillator that uses an input current (context parameter) to control oscillation frequency and replicates … Show more
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