High Speed LED Backlight Tachistoscope Reveals Fast Processing of Topological Invariants
DOI:
Author:
Affiliation:

Key Laboratory of Brain and Cognitive Sciences,Institute of Biophysics,Chinese Academy of Sciences; University of Chinese Academy of Sciences,Key Laboratory of Brain and Cognitive Sciences,Institute of Biophysics,Chinese Academy of Sciences

Clc Number:

Fund Project:

This work was supported by grants from National Basic Rearch Program of China (973 grant)(2012CB825500, 2015CB351701), the National Natural Science Foundation of China (91132302), and Science Foundation of the Chinese Academy of Sciences grants (XDB02010001, XDB02050001)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Primate visual system is extremely efficient in extracting stable invariants from environment, despite various transformation and degradation. The timing and dynamics of invariants perception provide important constraints for theories of vision. We developed a high speed LED backlight tachistoscope capable to deliver visual stimuli with 1 ms exposure and adjust the duration in submillisecond precision, which enabled us to investigate the relative speed of processing topological, projective, affine, and Euclidean invariants in configural superiority effect paradigm by manipulating the access time to visual input and estimating the psychometric function for sensory evidence accumulation. The results suggest that topological invariant requires shortest exposure time, consistent with the prediction of global-first theory.

    Reference
    Related
    Cited by
Get Citation

QIAN Chen-Can, LIU Zu-Xiang. High Speed LED Backlight Tachistoscope Reveals Fast Processing of Topological Invariants[J]. Progress in Biochemistry and Biophysics,2016,43(2):157-166

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 29,2015
  • Revised:January 04,2016
  • Accepted:January 07,2016
  • Online: February 19,2016
  • Published: February 20,2016