A Multiple Sub-regions Design of non-Classical Receptive Field
The non-classical receptive field (nCRF) is a large area outside the classical receptive field (CRF). Stimulating such area alone fails to elicit neural responses but can modulate the neural response to CRF stimulation. The receptive field (RF) of retinal ganglion cell (GC) also has such a property and can vary with the different visual stimuli. Previous nCRF models are mainly based on fixed RF whose dynamic characteristics are overlooked. In this paper, we establish a multilayer neural computation model with feedback for the basic structure of nCRF, and use it to simulate the mechanisms of fixation eye movements to ascertain the properties of the stimuli within adjacent areas. In our model, GC’s RF can dynamically and self-adaptively adjust its size according to stimulus properties. RF becomes smaller in areas where the image details need distinguishing and larger where the image information has no obvious difference. The experimental results fully reflect these dynamic characteristics.
KeywordsnCRF multiple sub-regions self-adaptive image processing
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