The Change of Memory Formation According to STDP in a Continuous-Time Neural Network Model
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概要
- 論文の詳細を見る
Gerstner et al. proposed a learning rule, so called STDP (Spike-timing dependent synaptic plasticity). In this paper, Department of Quantum Engineering and Systems Science, Faculty of Engineering, The University of Tokyo we propose a continuous-time associative neural network model and study the function of STDP. Firstly, we show that our model is capable of acquiring new memory paterns by STDP. The memory patterns are retrieved as synchronous firing neurons. Secondly, we show that multiple patterns can be retrieved concurrently, which gives a solution to the superposition catastrophe. Furthermore, we show that an application of STDP to the concurrently retrieval of multiple patterns gives rise to the nested structure of memory.
- 社団法人電子情報通信学会の論文
- 2002-03-01
著者
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Watanabe Masataka
Department of Cardiology, National Cardiovascular Center
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WATANABE HIDENORI
Department of Applied Biological Chemistry, The University of Tokyo
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Watanabe Masataka
Department Of Cardiology National Cardiovascular Center
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AIHARA Kazuyuki
Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The Universi
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Kondo Shunsuke
Department Of Quantum Engineering And Systems Science Faculty Of Engineering The University Of Tokyo
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Aihara Kazuyuki
Department Of Complexity Science And Engineering Graduate School Frontier Sciences The University Of
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Watanabe Masataka
Department Of Quantum Engineering And Systems Science Faculty Of Engineering The University Of Tokyo
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Watanabe Hidenori
Department Of Applied Biological Chemistry Graduate School Of Agricultural And Life Sciences The Uni
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Kondo Shunsuke
Department Of Applied Chemistry Graduate School Of Engineering Nagoya University
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Aihara Kazuyuki
Department Of Complex Science And Engineering Graduate School Of Frontier Science University Of Toky
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Aihara Kazuyuki
Department Of Mathematical Engineering And Information Physics Faculty Of Engineering The University
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Watanabe Hidenori
Department Of Quantum Engineering And Systems Science Faculty Of Engineering The University Of Tokyo
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Watanabe Hidenori
Department Of Applied Biological Chemistry Graduate School Of Agricultural And Biological Sciences T
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