Research article summary:

Neural correlates of implied motion.

Abstract Extract:
Current views of the visual system assume that the primate brain analyses form and motion along largely independent pathways; they provide no insight into why form is sometimes interpreted as motion. In a series of psychophysical and electrophysiological ... (Full abstract text below)

Published 2003Aug in Journal: Nature (Language : eng)

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1. Nature. 2003 Aug;424(6949):674-7

Neural correlates of implied motion.

Krekelberg B, Dannenberg S, Hoffmann KP, Bremmer F, Ross J

Vision Center Laboratory, The Salk Institute, La Jolla, California 92037, USA. bart@salk.edu

Current views of the visual system assume that the primate brain analyses form and motion along largely independent pathways; they provide no insight into why form is sometimes interpreted as motion. In a series of psychophysical and electrophysiological experiments in humans and macaques, here we show that some form information is processed in the prototypical motion areas of the superior temporal sulcus (STS). First, we show that STS cells respond to dynamic Glass patterns, which contain no coherent motion but suggest a path of motion. Second, we show that when motion signals conflict with form signals suggesting a different path of motion, both humans and monkeys perceive motion in a compromised direction. This compromise also has a correlate in the responses of STS cells, which alter their direction preferences in the presence of conflicting implied motion information. We conclude that cells in the prototypical motion areas in the dorsal visual cortex process form that implies motion. Estimating motion by combining motion cues with form cues may be a strategy to deal with the complexities of motion perception in our natural environment.

PMID : 12904793 [PubMed - Indexed for MEDLINE]

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Full Author Information

First Name	LastName	Initials
Bart	Krekelberg	B
Sabine	Dannenberg	S
Klaus-Peter	Hoffmann	KP
Frank	Bremmer	F
John	Ross	J

Affiliation: Vision Center Laboratory, The Salk Institute, La Jolla, California 92037, USA. bart@salk.edu

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