Improving pattern retrieval in an auto-associative neural network of spiking neurons

Russell Hunter; Bruce P. Graham; Stuart Cobb

doi:10.1186/1471-2202-10-S1-P173

Improving pattern retrieval in an auto-associative neural network of spiking neurons

Russell Hunter
, Bruce P. Graham
, Stuart Cobb

Computer And Information Sciences

Research output: Contribution to conference › Abstract › peer-review

Abstract

Similarities between neural network models of associative memory and the mammalian hippocampus have been examined [1, 2]. Here we compare and contrast the recall dynamics and quality of a biologically based spiking network [3] which is comprised of 1000 biologically realistic Pinsky-Rinzel two-compartment model CA3 pyramidal cells [4] with the previously published results for the ANN associative memories [1, 2].

Original language	English
Pages	173
Number of pages	1
DOIs	https://doi.org/10.1186/1471-2202-10-S1-P173
Publication status	Published - 2009
Event	Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 - Berlin Duration: 18 Jul 2009 → 23 Jul 2009 Conference number: 10 https://bmcneurosci.biomedcentral.com/articles/supplements/volume-10-supplement-1

Conference

Conference	Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
Abbreviated title	BMC Neuroscience
Period	18/07/09 → 23/07/09
Internet address	https://bmcneurosci.biomedcentral.com/articles/supplements/volume-10-supplement-1

Keywords

neural network models
pattern retrieval
auto-associative neural network
mammalian hippocampus

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10.1186/1471-2202-10-S1-P173

Cite this

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title = "Improving pattern retrieval in an auto-associative neural network of spiking neurons",

abstract = "Similarities between neural network models of associative memory and the mammalian hippocampus have been examined [1, 2]. Here we compare and contrast the recall dynamics and quality of a biologically based spiking network [3] which is comprised of 1000 biologically realistic Pinsky-Rinzel two-compartment model CA3 pyramidal cells [4] with the previously published results for the ANN associative memories [1, 2].",

keywords = "neural network models, pattern retrieval, auto-associative neural network, mammalian hippocampus",

author = "Russell Hunter and Graham, \{Bruce P.\} and Stuart Cobb",

year = "2009",

doi = "10.1186/1471-2202-10-S1-P173",

language = "English",

pages = "173",

note = "Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, BMC Neuroscience ; Conference date: 18-07-2009 Through 23-07-2009",

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AU - Graham, Bruce P.

AU - Cobb, Stuart

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Y1 - 2009

N2 - Similarities between neural network models of associative memory and the mammalian hippocampus have been examined [1, 2]. Here we compare and contrast the recall dynamics and quality of a biologically based spiking network [3] which is comprised of 1000 biologically realistic Pinsky-Rinzel two-compartment model CA3 pyramidal cells [4] with the previously published results for the ANN associative memories [1, 2].

AB - Similarities between neural network models of associative memory and the mammalian hippocampus have been examined [1, 2]. Here we compare and contrast the recall dynamics and quality of a biologically based spiking network [3] which is comprised of 1000 biologically realistic Pinsky-Rinzel two-compartment model CA3 pyramidal cells [4] with the previously published results for the ANN associative memories [1, 2].

KW - neural network models

KW - pattern retrieval

KW - auto-associative neural network

KW - mammalian hippocampus

U2 - 10.1186/1471-2202-10-S1-P173

DO - 10.1186/1471-2202-10-S1-P173

M3 - Abstract

SP - 173

T2 - Eighteenth Annual Computational Neuroscience Meeting: CNS*2009

Y2 - 18 July 2009 through 23 July 2009

ER -

Improving pattern retrieval in an auto-associative neural network of spiking neurons

Abstract

Conference

Keywords

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