4.3 Article

Can the theory of whitening explain the center-surround properties of retinal ganglion cell receptive fields?

Journal

VISION RESEARCH
Volume 46, Issue 18, Pages 2901-2913

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.visres.2006.03.008

Keywords

retina; vision; natural scenes; retinal coding; center-surround; receptive field; ganglion cell; spatial vision; vector length; contrast; response equalization; sparse coding; nonlinear; minimum wiring

Funding

  1. NEI NIH HHS [F31 EY015393, F31 EY015393-01, F31 EY015393-02, F31 EY015393-03, EY015393] Funding Source: Medline
  2. NIEHS NIH HHS [27398C0007] Funding Source: Medline
  3. NATIONAL EYE INSTITUTE [F31EY015393] Funding Source: NIH RePORTER

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To account for the spatial and temporal response properties of the retina, a number of studies have proposed that these properties serve to whiten the visual input. In particular, it has been argued that the sensitivity of retinal ganglion cells is matched to the spatial frequency spectrum of natural scenes, resulting in a flattened or whitened response spectrum across a range of frequencies. However, we argue that there are two distinct hypotheses regarding the flattening of the spectrum. The decorrelation hypothesis proposes that the magnitude of each ganglion cell tuning curve rises with spatial frequency, resulting in a flattened response spectrum for natural scene stimuli. With appropriate sampling, this scheme allows neighboring neurons to be uncorrelated with each other. The response equalization hypothesis proposes that the overall response magnitude of neurons increases with spatial frequency. The proposed goal of this model is to allow neurons with different receptive field sizes to produce the same average response to natural scenes. The response equalization hypothesis proposes an explanation for the relative gain of different ganglion cells and we show that this proposal fits well with published data. We suggest that both hypotheses are important in understanding the tuning and sensitivity of ganglion cells. However, using a simulation, both models are shown to be insufficient to explain the center-surround receptive field organization of ganglion cells. We discuss other factors, including representational sparseness, which could be related to the goals of ganglion cell spatial processing. We suggest three constraints needed to describe the basic linear properties of P-type ganglion cells: decorrelation, response equalization, and a minimal wiring or minimal size constraint. (c) 2006 Elsevier Ltd. All rights reserved.

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