title: Higher-codimension bifurcations in a discrete unidirectional neural network model with delayed feedback.
abstract: In this paper, we give a detailed study of the codimension-1/3/4 bifurcations, which there may occur in a unidirectional neural network model proposed by S. Guo, X. Tang, and L. Huang [Neurocomputing 71, 1422-1435 (2008)].
authors.affiliation: Department of Mathematics, Beijing Jiao Tong University, Beijing 100044, People's Republic of China. mshpeng@bjtu.edu.cn
authors.forename: Mingshu
authors.initials: M
authors.lastname: Peng
authors.forename: Lihong
authors.initials: L
authors.lastname: Huang
authors.forename: Guanghui
authors.initials: G
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D001703:Biophysics / Q000379:methods*; D003198:Computer Simulation; D005246:Feedback; D015233:Models, Statistical; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics