Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.

Journal: Physical review. E, Statistical, nonlinear, and soft matter physics
Published Date:

Abstract

In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that 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 a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.

Authors

  • He Wang
    Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, China.
  • Kin Lam
    Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
  • C C Alan Fung
    Department of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China phccfung@ust.hk.
  • K Y Michael Wong
    Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
  • Si Wu
    State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.