Ring models of binocular rivalry and fusion
| Autor: | Wei Dai, Ziqi Wang, David W. McLaughlin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Binocular rivalry N-Methylaspartate Vision Disparity Visual perception genetic structures Computer science Cognitive Neuroscience Models Neurological Biological neuron model 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Feedback Sensory medicine Humans Computer Simulation Rivalry Binocular neurons Neurons Neurotransmitter Agents Stochastic Processes Vision Binocular Monocular Sensory Systems Electrophysiological Phenomena Dominance Ocular 030104 developmental biology Visual cortex medicine.anatomical_structure Visual Perception Neural Networks Computer Neuroscience Algorithms 030217 neurology & neurosurgery Ocular dominance column |
| Zdroj: | Journal of Computational Neuroscience. 48:193-211 |
| ISSN: | 1573-6873 0929-5313 |
| DOI: | 10.1007/s10827-020-00744-7 |
| Popis: | When similar visual stimuli are presented binocularly to both eyes, one perceives a fused single image. However, when the two stimuli are distinct, one does not perceive a single image; instead, one perceives binocular rivalry. That is, one perceives one of the stimulated patterns for a few seconds, then the other for few seconds, and so on - with random transitions between the two percepts. Most theoretical studies focus on rivalry, with few considering the coexistence of fusion and rivalry. Here we develop three distinct computational neuronal network models which capture binocular rivalry with realistic stochastic properties, fusion, and the hysteretic transition between. Each is a conductance-based point neuron model, which is multi-layer with two ocular dominance columns (L & R) and with an idealized "ring" architecture where the orientation preference of each neuron labels its location on a ring. In each model, the primary mechanism initiating binocular rivalry is cross-column inhibition, with firing rate adaptation governing the temporal properties of the transitions between percepts. Under stimulation by similar visual patterns, each of three models uses its own mechanism to overcome cross-column inhibition, and thus to prevent rivalry and allow the fusion of similar images: The first model uses cross-column feedforward inhibition from the opposite eye to "shut off" the cross-column feedback inhibition; the second model "turns on" a second layer of monocular neurons as a parallel pathway to the binocular neurons, rivaling out of phase with the first layer, and together these two pathways represent fusion; and the third model uses cross-column excitation to overcome the cross-column inhibition and enable fusion. Thus, each of the idealized ring models depends upon a different mechanism for fusion that might emerge as an underlying mechanism present in real visual cortex. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink