首页|Adaptive mechanisms of visual motion discrimination, integration, and segregation

Adaptive mechanisms of visual motion discrimination, integration, and segregation

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Under ecological conditions, the luminance impinging on the retina varies within a dynamic range of 220 dB. Stimulus contrast can also vary drastically within a scene and eye movements leave little time for sampling luminance. Given these fundamental problems, the human brain allocates a significant amount of resources and deploys both structural and functional solutions that work in tandem to compress this range. Here we propose a new dynamic neural model built upon well-established canonical neural mechanisms. The model consists of two feed-forward stages. The first stage encodes the stimulus spatially and normalizes its activity by extracting contrast and discounting the background luminance. These normalized activities allow a second stage to implement a contrast-dependent spatial-integration strategy. We show how the properties of this model can account for adaptive properties of motion discrimination, integration, and segregation.

Shunting equationsDynamic neural modelSensory adaptationDynamic-range problemSpatial integrationMotion discriminationMotion segmentationAdaptive center-surroundCENTER-SURROUND ANTAGONISMCONTOUR ENHANCEMENTSPATIAL SUMMATIONRECEPTIVE-FIELDPERCEPTIONSUPPRESSIONMODELRESPONSESNEURONS

Penaloza, Boris、Herzog, Michael H.、Ogmen, Haluk

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University of Denver,Univ Denver

Brain Mind Inst,Ecole Polytech Fed Lausanne EPFL

2021

Vision Research

Vision Research

SCI
ISSN:0042-6989
年,卷(期):2021.188
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