Improving associative memory in a network of spiking neurons

Russell Hunter, Stuart Cobb, Bruce P. Graham

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)

Abstract

Associative neural network models are a commonly used methodology when investigating the theory of associative memory in the brain. Comparisons between the mammalian hippocampus and neural network models of associative memory have been investigated [7]. Biologically based networks are complex systems built of neurons with a variety of properties. Here we compare and contrast associative memory function in a network of biologically-based spiking neurons [14] with previously published results for a simple artificial neural network model [6]. We investigate biologically plausible implementations of methods for improving recall under biologically realistic conditions, such as a sparsely connected network.

Original languageEnglish
Title of host publicationArtificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings
EditorsV. Kůrková , R. Neruda, J. Koutník
Place of PublicationBerlin
PublisherSpringer
Pages636-645
Number of pages10
Volume5164
EditionPART 2
ISBN (Print)3540875581, 9783540875581
DOIs
Publication statusPublished - 22 Sep 2008
Event18th International Conference on Artificial Neural Networks, ICANN 2008 - Prague, Czech Republic
Duration: 3 Sep 20086 Sep 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5164 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Artificial Neural Networks, ICANN 2008
CountryCzech Republic
CityPrague
Period3/09/086/09/08

Fingerprint

Spiking Neurons
Neural Networks (Computer)
Associative Memory
Neural Network Model
Neurons
Neural networks
Data storage equipment
Memory Function
Hippocampus
Artificial Neural Network
Large scale systems
Neuron
Complex Systems
Brain
Methodology

Keywords

  • associative memory
  • inhibition
  • mammalian hippocampus
  • neural networks
  • pattern recall

Cite this

Hunter, R., Cobb, S., & Graham, B. P. (2008). Improving associative memory in a network of spiking neurons. In V. Kůrková , R. Neruda, & J. Koutník (Eds.), Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings (PART 2 ed., Vol. 5164, pp. 636-645). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5164 LNCS, No. PART 2). Berlin: Springer. https://doi.org/10.1007/978-3-540-87559-8_66
Hunter, Russell ; Cobb, Stuart ; Graham, Bruce P. / Improving associative memory in a network of spiking neurons. Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. editor / V. Kůrková ; R. Neruda ; J. Koutník. Vol. 5164 PART 2. ed. Berlin : Springer, 2008. pp. 636-645 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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Hunter, R, Cobb, S & Graham, BP 2008, Improving associative memory in a network of spiking neurons. in V Kůrková , R Neruda & J Koutník (eds), Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. PART 2 edn, vol. 5164, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5164 LNCS, Springer, Berlin, pp. 636-645, 18th International Conference on Artificial Neural Networks, ICANN 2008, Prague, Czech Republic, 3/09/08. https://doi.org/10.1007/978-3-540-87559-8_66

Improving associative memory in a network of spiking neurons. / Hunter, Russell; Cobb, Stuart; Graham, Bruce P.

Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. ed. / V. Kůrková ; R. Neruda; J. Koutník. Vol. 5164 PART 2. ed. Berlin : Springer, 2008. p. 636-645 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5164 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Hunter R, Cobb S, Graham BP. Improving associative memory in a network of spiking neurons. In Kůrková V, Neruda R, Koutník J, editors, Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings. PART 2 ed. Vol. 5164. Berlin: Springer. 2008. p. 636-645. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-540-87559-8_66