翻訳と辞書 Words near each other ・ Temporary tattoo ・ Temporary Temple ・ Temporary Temple & Atonal ・ Temporary variable ・ Temporary work ・ Tempore ・ Temporin ・ Temporomandibular joint ・ Temporomandibular joint dysfunction ・ Temporomandibular joint pathology ・ Temporomandibular ligament ・ Temporoparietal junction ・ Temporoparietalis muscle ・ Temporopontine fibers ・ Temposhark ・ Tempotron ・ Tempoyak ・ Tempozan Ferris Wheel ・ Temppeliaukio Church ・ Tempranillo ・ Tempranillo (album) ・ Tempranillo blanco ・ Temps d'aventura ・ Temps mort ・ TEMPSC ・ Tempsford ・ Tempsford Hall ・ Tempsford Memorial ・ Tempsford railway station ・ Tempskya 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 Tempotron ： ウィキペディア英語版 Tempotron The Tempotron is a supervised synaptic learning algorithm which is applied when the information is encoded in spatiotemporal spiking patterns. This is an advancement of the perceptron which does not incorporate a spike timing framework. It is general consensus that spike timing (STDP) plays a crucial role in the development of synaptic efficacy for many different kinds of neurons 〔Caporale, N., & Dan, Y. (2008). Spike timing-dependent plasticity: a Hebbian learning rule. Annu Rev Neurosci, 31, 25-46.〕 Therefore a large variety of STDP-rules has been developed one of which is the tempotron. ==Algorithm== Assuming a leaky integrate-and-fire-model the potential $V(t)$ of the synapse can be described by $V(t)=\; \backslash sum\; \_i\; \backslash omega\; \_i\backslash sum\; \_K(t-t\_i)\; +V\_,$ where $t\_i$ denotes the spike time of the i-th afferent synapse with synaptic efficacy $\backslash omega\; \_i$ and $V\_$ the resting potential. $K(t-t\_i)$ describes the postsynaptic potential (PSP) elicited by each incoming spike: with parameters $\backslash tau$ and $\backslash tau\_s$ denoting decay time constants of the membrane integration and synaptic currents. The factor $V\_0$ is used for the normalization of the PSP kernels. When the potential crosses the firing threshold $V\_$ the potential is reset to its resting value by shunting all incoming spikes. Next a binary classification of the input patterns is needed($\backslash circ$ refers to a pattern which should elicit at least one post synaptic action potential and $\backslash bullet$ refers to a pattern which should have no response accordingly). In the beginning the neuron does not know which pattern belongs to which classification and has to learn it iteratively, similar to the perceptron . The tempotron learns its tasks by adapting the synaptic effifacy $\backslash omega\; \_i$. If a $\backslash circ$ pattern is presented and the postsynaptic neuron did not spike, all synaptic efficacies are increased by $\backslash Delta\; \backslash omega\; \_i$ whereas a $\backslash bullet$ pattern followed by a postsynaptic response leads to a decrease of the synaptic efficacies by $-\backslash Delta\; \backslash omega\; \_i$ with 〔Rober Gütig, Haim Sompolinsky (2006): ''The tempotron: a neuron that learns spike timing-based decisions'', Nature Neuroscience vol. 9, no.3, 420-428〕 $\backslash Delta\; \backslash omega\; \_i=\backslash lambda\; \backslash sum\; \_-t\_i).$ Here $t\_$ denotes the time at which the postsynaptic potential $V(t)$ reaches its maximal value. It should be mentioned that the Tempotron is a special case of an older paper which dealt with continuous inputs.〔Anthony M. Zador, Barak A. Pearlmutter (1996): "VC dimension of an integrate-and-fire neuron model", Neural Computation vol.8, 611-624〕 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「Tempotron」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.