A neural model of surface perception: lightness, anchoring, and filling-in.

@article{Grossberg2006ANM,
  title={A neural model of surface perception: lightness, anchoring, and filling-in.},
  author={Stephen Grossberg and Simon Hong},
  journal={Spatial vision},
  year={2006},
  volume={19 2-4},
  pages={263-321}
}
A neural model is proposed of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models clarify how the brain can compute relative contrast. The anchored Filling-In Lightness Model (aFILM) clarifies how the brain 'anchors' lightness percepts to determine an absolute lightness scale that uses the full dynamic range of neurons. The model quantitatively simulates lightness anchoring properties (Articulation… CONTINUE READING

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A neural model of surface perception: Lightness, anchoring, and filling-in

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