title: Periodic oscillatory solution of bidirectional associative memory networks with delays.
abstract: Periodic oscillatory phenomena of bidirectional associative memory (BAM) networks with axonal signal transmission delays are investigated by constructing suitable Lyapunov functionals and some analysis techniques. Some simple sufficient conditions are derived ensuring the existence and uniqueness of periodic oscillatory solutions of the BAM with delays, and all other solutions of the BAM converge exponentially to a periodic oscillatory solution. These conditions are presented in terms of system parameters, and have an important leading significance in the design and applications of periodic oscillatory neural circuits for the BAM with delays.
authors.affiliation: Department of Applied Mathematics, Southeast University, Nanjing 210096, People's Republic of China. jdcao@ynu.edu.cn
authors.forename: J
authors.initials: J
authors.lastname: Cao
authors.forename: L
authors.initials: L
authors.lastname: Wang
mesh_terms: D001369:Axons / Q000502:physiology; D001921:Brain / Q000502:physiology*; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D010507:Periodicity; D009435:Synaptic Transmission / Q000502:physiology; D013997:Time Factors