Do we know what the early visual system does?

被引:389
作者
Carandini, M
Demb, JB
Mante, V
Tolhurst, DJ
Dan, Y
Olshausen, BA
Gallant, JL
Rust, NC
机构
[1] Smith Kettlewell Eye Res Inst, San Francisco, CA 94115 USA
[2] Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI 48105 USA
[3] Univ Michigan, Dept Mol Cellular & Dev Biol, Ann Arbor, MI 48105 USA
[4] Univ Cambridge, Dept Physiol, Cambridge CB2 1TN, England
[5] Univ Calif Berkeley, Dept Mol & Cellular Biol, Berkeley, CA 94720 USA
[6] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
[7] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA
[8] Univ Calif Berkeley, Sch Optometry, Berkeley, CA 94720 USA
[9] NYU, Ctr Neural Sci, New York, NY 10003 USA
关键词
contrast; lateral geniculate nucleus; luminance; primary visual cortex; receptive field; retina; visual system; natural images;
D O I
10.1523/JNEUROSCI.3726-05.2005
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
We can claim that we know what the visual system does once we can predict neural responses to arbitrary stimuli, including those seen in nature. In the early visual system, models based on one or more linear receptive fields hold promise to achieve this goal as long as the models include nonlinear mechanisms that control responsiveness, based on stimulus context and history, and take into account the nonlinearity of spike generation. These linear and nonlinear mechanisms might be the only essential determinants of the response, or alternatively, there may be additional fundamental determinants yet to be identified. Research is progressing with the goals of defining a single "standard model" for each stage of the visual pathway and testing the predictive power of these models on the responses to movies of natural scenes. These predictive models represent, at a given stage of the visual pathway, a compact description of visual computation. They would be an invaluable guide for understanding the underlying biophysical and anatomical mechanisms and relating neural responses to visual perception.
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页码:10577 / 10597
页数:21
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