On deriving analyser characteristics from summation-at-threshold data

DOI10.1007/BF00199546zbMath0839.92030OpenAlexW2016181318MaRDI QIDQ1909748

Alexander D. Logvinenko

Publication date: 23 June 1996

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00199546

zbMATH Keywords

human visual systemtwo-state modeldetection processlinear analysersmaximum-output decision rulethreshold stimuli

Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30)

Related Items (1)

Method of quadratic approximation: A new approach to identification of analysers and channels in human vision.

Cites Work

• Lack of convexity of threshold curves for compound grating: Implications for modelling visual pattern detection
• Unnamed Item

This page was built for publication: On deriving analyser characteristics from summation-at-threshold data