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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Binding neuron ： ウィキペディア英語版 Binding neuron A binding neuron (BN) is an abstract mathematical model of the electrical activity of a neuron, closely related to well-known integrate-and-fire model. The BN model originated in a 1998 paper by A. K. Vidybida 〔 A.K. Vidybida. Inhibition as binding controller at the single neuron level. BioSystems, 48: 263-267, 1998. http://dx.doi.org/10.1016/S0303-2647(98)00073-2 PMID 9886656 〕 == Description of the concept == For a generic neuron the stimuli are excitatory impulses. Normally, more than single input impulse is necessary for exciting neuron up to the level when it fires and emits an output impulse. Let the neuron receives $n$ input impulses at consecutive moments of time $t\_1,t\_2,\backslash dots,t\_n$. In the BN concept the temporal coherence $tc$ between input impulses is defined as follows $tc\; =\; \backslash frac\backslash ,.$ The high degree of temporal coherence between input impulses suggests that in external media all $n$ impulses can be created by a single complex event. Correspondingly, if BN is stimulated by a highly coherent set of input impulses, it fires and emits an output impulse. In the BN terminology we say that BN binds the elementary events (input impulses) into a single event (output impulse). The binding happens if the input impulses are enough coherent in time, and does not happen if those impulses do not have required degree of coherence. Inhibition in the BN concept (essentially, the slow somatic potassium inhibition) controls the degree of temporal coherence required for binding: the higher level of inhibition, the higher degree of temporal coherence is necessary for binding to occur. The emitted output impulse is treated as abstract representation of the compound event (the set of coherent in time input impulses), see Scheme. 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「Binding neuron」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.