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Lecture Notes in Computer Science, pages 877-884
Pulse-Type Hardware Neural Network with Two Time Windows in STDP
Publication type: Book Chapter
Publication date: 2009-07-30
Journal:
Lecture Notes in Computer Science
Q2
SJR: 0.606
CiteScore: 2.6
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
In recent years, synaptic plasticity, which is dependent on the order and time interval of pre- and post-synaptic spikes, has been observed by physiological experiments. There are two types of STDP which are characterized by an asymmetric time window and a symmetric time window (mexican hat type window). A symmetric time window especially depends on the influence of an inhibitory neuron. In this paper, we investigate the synaptic circuit and the synaptic weight control circuit using STDP by inhibitory interneuron input or no input. As a result, we show that the synaptic circuit using STDP with the time windows of these two types could be constructed with a simple circuit configuration considering an inhibitory interneuron by using the circuit simulator PSpice. Furthermore, we show the characteristic of reinforcement and suppression.
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Saeki K., Shimizu R., Sekine Y. Pulse-Type Hardware Neural Network with Two Time Windows in STDP // Lecture Notes in Computer Science. 2009. pp. 877-884.
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Saeki K., Shimizu R., Sekine Y. Pulse-Type Hardware Neural Network with Two Time Windows in STDP // Lecture Notes in Computer Science. 2009. pp. 877-884.
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TY - GENERIC
DO - 10.1007/978-3-642-03040-6_107
UR - https://doi.org/10.1007/978-3-642-03040-6_107
TI - Pulse-Type Hardware Neural Network with Two Time Windows in STDP
T2 - Lecture Notes in Computer Science
AU - Saeki, Katsutoshi
AU - Shimizu, Ryo
AU - Sekine, Yoshifumi
PY - 2009
DA - 2009/07/30
PB - Springer Nature
SP - 877-884
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
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@incollection{2009_Saeki,
author = {Katsutoshi Saeki and Ryo Shimizu and Yoshifumi Sekine},
title = {Pulse-Type Hardware Neural Network with Two Time Windows in STDP},
publisher = {Springer Nature},
year = {2009},
pages = {877--884},
month = {jul}
}