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Memory and Information Processing in Recurrent Neural Networks
Recurrent neural networks (RNN) are simple dynamical systems whose computational power has been attributed to their short-term memory.
Learning Two-input Linear and Nonlinear Analog Functions with a Simple Chemical System
To the best of our knowledge, it is the first simulated chemical system capable of doing so.
A Comparative Study of Reservoir Computing for Temporal Signal Processing
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks.
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