title: Synchronized oscillation in a modular neural network composed of columns.
abstract: The columnar organization is a ubiquitous feature in the cerebral cortex. In this study, a neural network model simulating the cortical columns has been constructed. When fed with random pulse input with constant rate, a column generates synchronized oscillations, with a frequency varying from 3 to 43 Hz depending on parameter values. The behavior of the model under periodic stimulation was studied and the input-output relationship was non-linear. When identical columns were sparsely interconnected, the column oscillator could be locked in synchrony. In a network composed of heterogeneous columns, the columns were organized by intrinsic properties and formed partially synchronized assemblies.
authors.affiliation: Laboratory for Visual Information Processing, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Su
authors.initials: S
authors.lastname: Li
authors.forename: Xianglin
authors.initials: X
authors.lastname: Qi
authors.forename: Hong
authors.initials: H
authors.lastname: Hu
authors.forename: Yunjiu
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D001921:Brain / Q000378:metabolism; D003198:Computer Simulation; D006801:Humans; D008564:Membrane Potentials; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D009415:Nerve Net; D009474:Neurons / Q000378:metabolism; D009991:Oscillometry; D013569:Synapses / Q000378:metabolism / Q000502:physiology; D013997:Time Factors