Modeling Interval Timing by Recurrent Neural Nets
Abstract
The purpose of this study was to take a new approach in showing how the central nervous system might encode time at the supra-second level using recurrent neural nets (RNNs). This approach utilizes units with a delayed feedback, whose feedback weight determines the temporal properties of specific neurons in the network architecture. When these feedback neurons are coupled, they form a multilayered dynamical system that can be used to model...
Paper Details
Title
Modeling Interval Timing by Recurrent Neural Nets
Published Date
Aug 28, 2019
Volume
13
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