Analysis of cortical connectivity using Hopfield neural network

S. Dixit, K. Mosier

Research output: Contribution to journalArticle

2 Scopus citations


Functional magnetic resonance imaging (fMRI) is increasingly recognized as a standard technique for brain mapping and determining the connectivity between cortical regions. Statistical approaches to determining cortical connectivity, e.g. structural equation modeling between various regions of interest in the active brain can be computationally inefficient. This study explores the utility of a Hopfield neural network to determine cortical connectivity in an fMRI data set.

Original languageEnglish (US)
Pages (from-to)1163-1170
Number of pages8
StatePublished - Jun 1 2004



  • Artificial neural networks
  • Functional magnetic resonance imaging
  • Neural network
  • Neurocomputing
  • Neuroinformatics

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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