Parallel Hopfield Networks

Loading...
Thumbnail Image
Penn collection
Departmental Papers (BE)
Degree type
Discipline
Subject
Biomedical Engineering and Bioengineering
Engineering
Funder
Grant number
License
Copyright date
Distributor
Related resources
Contributor
Abstract

We introduce a novel type of neural network, termed the parallelHopfield network, that can simultaneously effect the dynamics of many different, independent Hopfield networks in parallel in the same piece of neural hardware. Numerically we find that under certain conditions, each Hopfield subnetwork has a finite memory capacity approaching that of the equivalent isolated attractor network, while a simple signal-to-noise analysis sheds qualitative, and some quantitative, insight into the workings (and failures) of the system.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2009-01-01
Journal title
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Suggested Citation: Wilson, R.C. (2009). "Parallel Hopfield Networks." Neural Computation. Vol. 21, 831-850. © 2008 Massachusetts Institute of Technology http://www.mitpressjournals.org/loi/neco
Recommended citation
Collection