A learned neural network that simulates properties of the neuronal population vector


This paper considers steady-state and timedependent characteristics of the response of the hidden-layer neurons in a dynamic model for the neural network trained through supervised learning to perform transformation of input signals into output signals. This transformation is set up so as to correspond to variation in the directions of two-dimensional… (More)
DOI: 10.1007/BF00202754


5 Figures and Tables