A dynamical model of visual motion processing for arbitrary stimuli including type II plaids

To explore the operating principle of visual motion processing in the brain underlying perception and eye movements, we model the information processing of velocity estimate of the visual stimulus at the algorithmic level using the dynamical system approach. In this study, we formulate the model as...

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Bibliographic Details
Published in:Neural networks 2023-05, Vol.162, p.46-68
Main Authors: Korai, Yusuke, Miura, Kenichiro
Format: Article
Language:English
Subjects:
Brain
Computational neuroscience
Dynamical model
Eye movement
Eye Movements
Motion Perception
Optimization
Photic Stimulation - methods
Vision, Ocular
Visual Perception
Citations: Items that this one cites
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Summary:To explore the operating principle of visual motion processing in the brain underlying perception and eye movements, we model the information processing of velocity estimate of the visual stimulus at the algorithmic level using the dynamical system approach. In this study, we formulate the model as an optimization process of an appropriately defined objective function. The model is applicable to arbitrary visual stimuli. We find that our theoretical predictions qualitatively agree with time evolution of eye movement reported by previous works across various types of stimulus. Our results suggest that the brain implements the present framework as the internal model of motion vision. We anticipate our model to be a promising building block for more profound understanding of visual motion processing as well as for the development of robotics. •Visual motion processing is modelled as an optimization process.•The model is applicable to arbitrary visual stimuli.•Theoretical predictions agree with the observed eye movements.•The model provides verifiable predictions.
ISSN:0893-6080
1879-2782
DOI:10.1016/j.neunet.2023.02.039