Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A5L-F
Session:
Number:A5L-F-1
The Dynamics of Two-Layer Continuous Attractor Neural Network Model with Moving Stimulus
Min Yan, K.Y. Michael Wong,
pp.393-396
Publication Date:2015/12/1
Online ISSN:2188-5079
DOI:10.34385/proc.47.A5L-F-1
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Summary:
The dynamics of single-layer continuous attractor neural networks (CANNs) model has gained extensive attention. We generalize the neural network model to a two-layer structure, and take feedback and feedforward effects into consideration. We apply a static stimulus on one layer and a moving stimulus on the other layer. Under various strengths of the feedback and feedforward couplings, the two-layer network will show distinct behaviors. Other parameter settings are also tested, varying the strengths of inputs in two layers and the strengths of feedback and feedforward couplings.