controlled-rotation-human-observers-virtual-reality

Controlled Rotation of Human Observers in a Virtual Reality Environment

The low cost and availability of Virtual Reality (VR) systems have supported a recent acceleration of research into perception and behavior under more ...

University of Western Australia

Viewing a set of two thousand images in which the contrasts of a central and a surrounding pattern were highly correlated increased the suppressive influence of the surround on the perceived contrast of the central pattern. The apparent increase in inhibition supports the operation of an anti-Hebbian mechanism between the two groups of cells excited by the patterns (one group by the central pattern and the other by the surround). According to this mechanism, inhibitory connections between nearby cells increase in efficacy according to a simple function of the correlations between the cells' activities.

Implicit exploitation of regularities: novel correlations in images quickly alter visual perception.

Slightly modified versions of an early Hebbian/anti-Hebbian neural network are shown to be capable of extracting the sparse, independent linear components of a prefiltered natural image set. An explanation for this capability in terms of a coupling between two hypothetical networks is presented. The simple networks presented here provide alternative, biologically plausible mechanisms for sparse, factorial coding in early primate vision.

Article	Year
Implicit exploitation of regularities: novel correlations in images quickly alter visual perception. Vision research\| PubMed ID: 16139324	2006
A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images. Neural computation\| PubMed ID: 16378520	2006

Michael Falconbridge

Biography

JoVE Journal Publications

Other Publications