Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A4L-F
Session:
Number:A4L-F-5
How Short-Term Synaptic Depression Reshapes Dynamics of Continuous Attractor Neural Networks
He Wang, Kin Lam, C. C. Alan Fung, K.Y. Michael Wong, Si Wu,
pp.333-336
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
The neural representation of spatially continuous information such as orientation, head direction, and spatial location is widely modeled as population activities in continuous attractor neural networks (CANNs) with Gaussian-like tuning curves , which can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to external inputs. CANN with STD shows a variety of complex firing patterns and chaotic behaviors.