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.