Connective field modeling

Koen V. Haak, Jonathan Winawer, Ben M. Harvey, Remco Renken, Serge O. Dumoulin, Brian A. Wandell, Frans W. Cornelissen

Research output: Contribution to journalArticlepeer-review


The traditional way to study the properties of visual neurons is to measure their responses to visually presented stimuli. A second way to understand visual neurons is to characterize their responses in terms of activity elsewhere in the brain. Understanding the relationships between responses in distinct locations in the visual system is essential to clarify this network of cortical signaling pathways. Here, we describe and validate connective field modeling, a model-based analysis for estimating the dependence between signals in distinct cortical regions using functional magnetic resonance imaging (fMRI). Just as the receptive field of a visual neuron predicts its response as a function of stimulus position, the connective field of a neuron predicts its response as a function of activity in another part of the brain. Connective field modeling opens up a wide range of research opportunities to study information processing in the visual system and other topographically organized cortices.

Original languageEnglish (US)
Pages (from-to)376-384
Number of pages9
StatePublished - Feb 1 2013


  • Connective field
  • FMRI
  • Functional connectivity
  • Population receptive field
  • Visual cortex

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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