Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Vision Res. Vol. 32, No. 2, pp. 203-218, 1992 0042-6989/92$5.00+0.00 Printed in Great Britain. All rights reserved Copyright Pergamon Press plc
 

Summary: Vision Res. Vol. 32, No. 2, pp. 203-218, 1992 0042-6989/92$5.00+0.00
Printed in Great Britain. All rights reserved Copyright Pergamon Press plc
Directionally Selective Complex Cells
and the Computation of Motion Energy in
Cat Visual Cortex
ROBERT C. EMERSON,* JAMES R. BERGEN,** EDWARD H. ADELSON***
Received 7 March 1990; in revised form 10 July 1991
We applied a set of 1- and 2-bar tests to directionally selective (DS) complex cells in the cat's striate
cortex, and compared the responses with those predicted by two computational models. Single-bar
responses and 2-bar interactions produce distinctive patterns that are highly diagnostic. The observed
responses are quite similar to those predicted by a basic (non-opponent) motion-energy model [Adelson
& Bergen (1985) Journal of the Optical Society of America A, 2, 284-299]. However, they are not
consistent with an opponent combination of energy models, nor are they consistent with any stage of
the classic Reichardt model. In particular, the Reichardt model (as well as opponent combinations of
energy models) predicts a separable space-time symmetry in the 2-bar interaction that is not observed
in our measurements, while the non-opponent energy model predicts an inseparable, oriented
interaction very similar to the measured cortical responses. Comparisons between model and
measurements suggest possible mechanisms of spatial receptive-field organization and of nonlinear
transformations.
Motion Receptive field Model Directional selectivity Visual cortex Complex cells Nonlinear

  

Source: Adelson, Edward - Computer Science and Artificial Intelligence Laboratory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology (MIT)

 

Collections: Biology and Medicine