The performance pf sparsley-connected 2D associative memory models with non-random images

L. Calcraft; Roderick Adams; N. Davey

doi:10.1142/9789812834232_0009

The performance pf sparsley-connected 2D associative memory models with non-random images

L. Calcraft, Roderick Adams, N. Davey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly from that of random images, and that the relationship between network wiring strategy and performance changes dramatically when training sets consist of certain types of real-world image.

Original language	English
Title of host publication	Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop
Subtitle of host publication	(Progress in Neural Processing)
Editors	Mayor Julien, Nicholas Ruh, Kim Plunkett
Publisher	World Scientific Publishing
Pages	103-113
Number of pages	11
Volume	18
ISBN (Electronic)	978-981-283-422-5
ISBN (Print)	981-283-422-2
DOIs	https://doi.org/10.1142/9789812834232_0009
Publication status	Published - 2009
Event	Proceedings of the 11th Neural Computation and Psychology Worksho - Oxford, United Kingdom Duration: 16 Jul 2008 → 18 Jul 2008

Conference

Conference	Proceedings of the 11th Neural Computation and Psychology Worksho
Country/Territory	United Kingdom
City	Oxford
Period	16/07/08 → 18/07/08

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10.1142/9789812834232_0009

Cite this

Calcraft, L., Adams, R., & Davey, N. (2009). The performance pf sparsley-connected 2D associative memory models with non-random images. In M. Julien, N. Ruh, & K. Plunkett (Eds.), Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop: (Progress in Neural Processing) (Vol. 18, pp. 103-113). World Scientific Publishing. https://doi.org/10.1142/9789812834232_0009

Calcraft, L. ; Adams, Roderick ; Davey, N. / The performance pf sparsley-connected 2D associative memory models with non-random images. Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop: (Progress in Neural Processing). editor / Mayor Julien ; Nicholas Ruh ; Kim Plunkett. Vol. 18 World Scientific Publishing, 2009. pp. 103-113

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title = "The performance pf sparsley-connected 2D associative memory models with non-random images",

abstract = "A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly from that of random images, and that the relationship between network wiring strategy and performance changes dramatically when training sets consist of certain types of real-world image.",

author = "L. Calcraft and Roderick Adams and N. Davey",

note = "Original conference paper can be found at: http://eproceedings.worldscinet.com/ Copyright World Scientific Publishing [Full text of this paper is not available in the UHRA]; Proceedings of the 11th Neural Computation and Psychology Worksho ; Conference date: 16-07-2008 Through 18-07-2008",

year = "2009",

doi = "10.1142/9789812834232_0009",

language = "English",

isbn = "981-283-422-2",

volume = "18",

pages = "103--113",

editor = "Mayor Julien and Nicholas Ruh and Kim Plunkett",

booktitle = "Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop",

publisher = "World Scientific Publishing",

address = "Singapore",

}

Calcraft, L, Adams, R & Davey, N 2009, The performance pf sparsley-connected 2D associative memory models with non-random images. in M Julien, N Ruh & K Plunkett (eds), Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop: (Progress in Neural Processing). vol. 18, World Scientific Publishing, pp. 103-113, Proceedings of the 11th Neural Computation and Psychology Worksho, Oxford, United Kingdom, 16/07/08. https://doi.org/10.1142/9789812834232_0009

The performance pf sparsley-connected 2D associative memory models with non-random images. / Calcraft, L.; Adams, Roderick; Davey, N.
Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop: (Progress in Neural Processing). ed. / Mayor Julien; Nicholas Ruh; Kim Plunkett. Vol. 18 World Scientific Publishing, 2009. p. 103-113.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - A sparsely connected associative memory model is built with small-world connectivity, and trained on both random, and real-world image sets. It is found that pattern recall using real-world images can vary significantly from that of random images, and that the relationship between network wiring strategy and performance changes dramatically when training sets consist of certain types of real-world image.

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Calcraft L, Adams R, Davey N. The performance pf sparsley-connected 2D associative memory models with non-random images. In Julien M, Ruh N, Plunkett K, editors, Connectionist Models of Behavior and Cognition: Proceedings of the 11th Neural Computation and Psychology Workshop: (Progress in Neural Processing). Vol. 18. World Scientific Publishing. 2009. p. 103-113 doi: 10.1142/9789812834232_0009

The performance pf sparsley-connected 2D associative memory models with non-random images

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