Modelling fast forms of visual neural plasticity using a modified second-order motion energy model
| Autor: | George Mather, Adriano Contillo, Andrea Pavan |
|---|---|
| Přispěvatelé: | Pavan A., Contillo A., Mather G. |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Rapid motion after-effect
Motion energy Rapid visual motion priming Second-order RC integrator Short-term neural plasticity Animals Humans Motion Motion Perception Neuronal Plasticity Neurons Psychophysics Visual Pathways Models Neurological Cellular and Molecular Neuroscience Cognitive Neuroscience Sensory Systems Medicine (all) Socio-culturale Adaptation (eye) Visual system Motion (physics) Models Theoretical High Energy Physics Motion perception RC circuit Simulation Leaky integrator Integrator Neurological Psychology Algorithm Energy (signal processing) |
| Zdroj: | Journal of Computational Neuroscience, 37, 493-504 Journal of Computational Neuroscience, 37, 3, pp. 493-504 |
| ISSN: | 0929-5313 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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