翻訳と辞書 Words near each other ・ Wilsonville Memorial Park ・ Wilsonville Public Library ・ Wilsonville railroad bridge ・ Wilsonville Spokesman ・ Wilsonville Station ・ Wilsonville, Alabama ・ Wilsonville, Boyle County, Kentucky ・ Wilsonville, California ・ Wilsonville, Illinois ・ Wilsonville, Nebraska ・ Wilsonville, North Carolina ・ Wilsonville, Oregon ・ Wilsonville, Pennsylvania ・ Wilson–Bappu effect ・ Wilson–Chambers Mortuary ・ Wilson–Cowan model ・ Wilson–Gorman Tariff Act ・ Wilson–Kautz Raid ・ Wilson–Mikity syndrome ・ Wilson–South House ・ Wilson–Turner syndrome ・ Wilstead ・ Wilstedt ・ Wilster ・ Wilsterau ・ Wilstermarsch ・ Wilsthorpe ・ Wilsthorpe Community School ・ Wilsthorpe Crossing Halt railway station ・ Wilsthorpe, East Riding of Yorkshire Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Wilson–Cowan model ： ウィキペディア英語版 Wilson–Cowan model In computational neuroscience, the Wilson–Cowan model describes the dynamics of interactions between populations of very simple excitatory and inhibitory model neurons. It was developed by H.R. Wilson and Jack D. Cowan〔(H.R. Wilson and J.D. Cowan. Excitatory and inhibitory interactions in localized populations of model neurons. Biophys. J., 12:1–24 (1972) )〕 and extensions of the model have been widely used in modeling neuronal populations.〔(V.K. Jirsa and H. Haken. Field theory of electromagnetic brain activity. Phys. Rev. Lett. 77:960–963 (1996) )〕〔(P.A. Robinson, C.J. Rennie and J.J. Wright. Propagation and stability of waves of electrical activity in the cerebral cortex. Phys. Rev. E. 56:826–840 (1997) )〕〔(D.T.J. Liley, P.J. Cadusch and J.J. Wright. A continuum theory of electrocortical activity. Neurocomputing. 26–27:795–800 (1999) )〕〔(J.J. Wright and D.T.J. Liley. Simulation of the EEG: dynamic changes in synaptic efficiency, cerebral rhythms, and dissipative and generative activity in cortex. Biol. Cybern. 81:131–147 (1999) )〕 The model is important historically because it uses phase plane methods and numerical solutions to describe the responses of neuronal populations to stimuli. Because the model neurons are simple, only elementary limit cycle behavior, i.e. neural oscillations, and stimulus-dependent evoked responses are predicted. The key findings include the existence of multiple stable states, and hysteresis, in the population response. ==Mathematical description== The Wilson–Cowan model considers a homogeneous population of interconnected neurons of excitatory and inhibitory subtypes. The fundamental quantity is the measure of the activity of an excitatory or inhibitory subtype within the population. More precisely, $E(t)$ and $I(t)$ are respectively the proportions of excitatory and inhibitory cells firing at time t. They depend on the proportion of sensitive cells (that are not refractory) and on the proportion of these cells receiving at least threshold excitation. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Wilson–Cowan model」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.