Natural stimulus statistics alter the receptive field structure of V1 neurons

Stephen V. David, William E. Vinje, Jack L. Gallant

Research output: Contribution to journalArticle

214 Scopus citations

Abstract

Studies of the primary visual cortex (V1) have produced models that account for neuronal responses to synthetic stimuli such as sinusoidal gratings. Little is known about how these models generalize to activity during natural vision. We recorded neural responses in area V1 of awake macaques to a stimulus with natural spatiotemporal statistics and to a dynamic grating sequence stimulus. We fit nonlinear receptive field models using each of these data sets and compared how well they predicted time-varying responses to a novel natural visual stimulus. On average, the model fit using the natural stimulus predicted natural visual responses more than twice as accurately as the model fit to the synthetic stimulus. The natural vision model produced better predictions in >75% of the neurons studied. This large difference in predictive power suggests that natural spatiotemporal stimulus statistics activate nonlinear response properties in a different manner than the grating stimulus. To characterize this modulation, we compared the temporal and spatial response properties of the model fits. During natural stimulation, temporal responses often showed a stronger late inhibitory component, indicating an effect of nonlinear temporal summation during natural vision. In addition, spatial tuning underwent complex shifts, primarily in the inhibitory, rather than excitatory, elements of the response profile. These differences in late and spatially tuned inhibition accounted fully for the difference in predictive power between the two models. Both the spatial and temporal statistics of the natural stimulus contributed to the modulatory effects.

Original languageEnglish (US)
Pages (from-to)6991-7006
Number of pages16
JournalJournal of Neuroscience
Volume24
Issue number31
DOIs
StatePublished - Aug 4 2004

Keywords

  • Inhibition
  • Natural vision
  • Nonlinear model
  • Receptive field
  • Reverse correlation
  • Striate cortex

ASJC Scopus subject areas

  • Neuroscience(all)

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