title: Connection ensemble model of local neural circuits.
abstract: A connection ensemble model (CEM) of local neural circuits in central nervous system (CNS) is proposed in this work. Neuronal interactions are investigated at two levels, i.e. the synaptic connection between single neurons and the macro-connections between different neuronal groups. The efficacy of macro-connection is quantitatively determined by the efficacies of constituent synapses, and is asymptotically stable. This model provides a reasonable description for the functional invariance of local neural circuits with structural diversities, which is a widely observed fact in neurobiology. It is expected that the works in CEM model would enrich the current research in neural dynamics.
authors.affiliation: Laboratory of Visual Information Processing, Institute of Biophysics, Academia Sinica, Beijing, PRC.
authors.forename: G Z
authors.initials: GZ
authors.lastname: Yao
authors.forename: M
authors.initials: M
authors.lastname: Wang
authors.forename: L M
authors.initials: LM
authors.lastname: Tao
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net; D009434:Neural Pathways; D009474:Neurons; D013569:Synapses