Temporal precision in the neural code and the timescales of natural vision

Daniel A. Butts (), Chong Weng, Jianzhong Jin, Chun-I Yeh, Nicholas A. Lesica, Jose-Manuel Alonso and Garrett B. Stanley
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Daniel A. Butts: School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
Chong Weng: State University of New York College of Optometry, New York, New York 10036, USA
Jianzhong Jin: State University of New York College of Optometry, New York, New York 10036, USA
Chun-I Yeh: State University of New York College of Optometry, New York, New York 10036, USA
Nicholas A. Lesica: School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA
Jose-Manuel Alonso: State University of New York College of Optometry, New York, New York 10036, USA
Garrett B. Stanley: School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA

Nature, 2007, vol. 449, issue 7158, 92-95

Abstract: Precision in vision In mammalian visual system, spikes evoked by visual stimuli have millisecond-scale timing even though the relevant timescales of visual processing themselves are much slower. It has therefore long been debated whether spike timing itself carries some form of the neural code. Now experiments in the lateral geniculate nucleus of cats, the part of the brain that is the primary processor of visual information, show that spike timing precision is not absolute for all classes of visual stimuli. Rather, the degree of precision is relative to the timescale of the stimulus, and this relatively high level of precision is required to construct an accurate representation of the stimulus.

Date: 2007
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DOI: 10.1038/nature06105

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