Striate cortex extracts higher-order spatial correlations from visual textures

Keith P. Purpura, Jonathan D. Victor, Ephraim Katz

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Spatial correlations define the statistical structure of any visual image. Two-point correlations inform the visual system about the spatial frequency content of an image. Higher-order correlations can capture salient features such as object contours. We studied 'isodipole' texture discrimination in V1 to determine if higher-order spatial correlations can be extracted by early stages of cortical processing. We made epicortical, local field potential, and single-cell recordings of responses elicited by isodipole texture interchange in anesthetized monkeys. Our studies demonstrate that single neurons in V1 can signal the presence of higher-order spatial correlations in visual textures. This places a computational mechanism, which may be essential for form vision at the earliest stage of cortical processing.

Original languageEnglish
Pages (from-to)8482-8486
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume91
Issue number18
DOIs
StatePublished - 30 Aug 1994
Externally publishedYes

Fingerprint

Dive into the research topics of 'Striate cortex extracts higher-order spatial correlations from visual textures'. Together they form a unique fingerprint.

Cite this