title: Rich spectrum of neural field dynamics in the presence of short-term synaptic depression.
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.affiliation: Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
authors.forename: He
authors.initials: H
authors.lastname: Wang
authors.affiliation: Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
authors.forename: Kin
authors.initials: K
authors.lastname: Lam
authors.affiliation: Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
authors.forename: C C Alan
authors.initials: CC
authors.lastname: Fung
authors.affiliation: Department of Physics, Hong Kong University of Science and Technology, Hong Kong, China.
authors.forename: K Y Michael
authors.initials: KY
authors.lastname: Wong
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
authors.forename: Si
authors.initials: S
authors.lastname: Wu
mesh_terms: D000200:Action Potentials / Q000502:physiology; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009473:Neuronal Plasticity / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics