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Transitory memory retrieval in a biologically plausible neural network model

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Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.r6884
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Title: Transitory memory retrieval in a biologically plausible neural network model
Other Titles: 生物学的に妥当な神経ネットワークにおける過渡的な記憶想起に関する研究
Authors: 塚田, 啓道1 Browse this author
Authors(alt): Hiromichi, Tsukada1
Keywords: Associative memory
successive retrieval of memory
transitory dynamics
recurrent network
Issue Date: 28-Jun-2013
Publisher: Hokkaido University
Abstract: A number of memory models have been proposed. These all have the basic structurethat excitatory neurons are reciprocally connected by recurrent connections togetherwith the connections with inhibitory neurons, which yields associative memory (i.e.,pattern completion) and successive retrieval of memory. In most of the models, asimple mathematical model for a neuron in the form of a discrete map is adopted.It has not, however, been clarified whether behaviors like associative memory andsuccessive retrieval of memory appear when a biologically plausible neuron modelis used. In this paper, we propose a network model for associative memory andsuccessive retrieval of memory based on Pinsky-Rinzel neurons. The state of patterncompletion in associative memory can be observed with an appropriate balanceof excitatory and inhibitory connection strengths. Increasing of the connectionstrength of inhibitory interneurons changes the state of memory retrieval from associativememory to successive retrieval of memory. We investigate this transition.
Conffering University: 北海道大学
Degree Report Number: 乙第6884号
Degree Level: 博士
Degree Discipline: 理学
Examination Committee Members: (主査) 教授 津田 一郎, 教授 由利 美智子, 准教授 松本 健司, 助教 山口 裕
Degree Affiliation: 理学院
Type: theses (doctoral)
URI: http://hdl.handle.net/2115/53212
Appears in Collections:学位論文 (Theses) > 博士 (理学)
論文博士 (Doctorate by way of Dissertation) > 理学院(Graduate School of Science)

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