Modelling fast forms of visual neural plasticity using a modified second-order motion energy model

Pavan, Andrea and Contillo, Adriano and Mather, George (2014) Modelling fast forms of visual neural plasticity using a modified second-order motion energy model. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 37 (3). pp. 493-504. ISSN 0929-5313, 1573-6873

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Abstract

The Adelson-Bergen motion energy sensor is well established as the leading model of low-level visual motion sensing in human vision. However, the standard model cannot predict adaptation effects in motion perception. A previous paper Pavan et al.(Journal of Vision 10:1-17, 2013) presented an extension to the model which uses a first-order RC gain-control circuit (leaky integrator) to implement adaptation effects which can span many seconds, and showed that the extended model's output is consistent with psychophysical data on the classic motion after-effect. Recent psychophysical research has reported adaptation over much shorter time periods, spanning just a few hundred milliseconds. The present paper further extends the sensor model to implement rapid adaptation, by adding a second-order RC circuit which causes the sensor to require a finite amount of time to react to a sudden change in stimulation. The output of the new sensor accounts accurately for psychophysical data on rapid forms of facilitation (rapid visual motion priming, rVMP) and suppression (rapid motion after-effect, rMAE). Changes in natural scene content occur over multiple time scales, and multi-stage leaky integrators of the kind proposed here offer a computational scheme for modelling adaptation over multiple time scales.

Item Type: Article
Uncontrolled Keywords: MACAQUE AREA MT; DIRECTION DISCRIMINATION; SYNAPTIC DEPRESSION; APPARENT MOTION; CORTICAL AREAS; COMPLEX CELLS; CORTEX; ADAPTATION; ATTENTION; PERCEPTION; Short-term neural plasticity; Rapid visual motion priming; Rapid motion after-effect; Second-order RC integrator; Motion energy
Subjects: 100 Philosophy & psychology > 150 Psychology
Divisions: Psychology and Pedagogy > Institut für Psychologie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 07 Aug 2019 12:32
Last Modified: 07 Aug 2019 12:32
URI: https://pred.uni-regensburg.de/id/eprint/9172

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