Parallel Hopfield networks

Research output: Contribution to journalLetterpeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)831-850
Number of pages20
JournalNeural computation
Issue number3
StatePublished - Mar 2009
Externally publishedYes

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience


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