Literature DB >> 12427852

Processing of natural temporal stimuli by macaque retinal ganglion cells.

J H van Hateren1, L Rüttiger, H Sun, B B Lee.   

Abstract

This study quantifies the performance of primate retinal ganglion cells in response to natural stimuli. Stimuli were confined to the temporal and chromatic domains and were derived from two contrasting environments, one typically northern European and the other a flower show. The performance of the cells was evaluated by investigating variability of cell responses to repeated stimulus presentations and by comparing measured to model responses. Both analyses yielded a quantity called the coherence rate (in bits per second), which is related to the information rate. Magnocellular (MC) cells yielded coherence rates of up to 100 bits/sec, rates of parvocellular (PC) cells were much lower, and short wavelength (S)-cone-driven ganglion cells yielded intermediate rates. The modeling approach showed that for MC cells, coherence rates were generated almost exclusively by the luminance content of the stimulus. Coherence rates of PC cells were also dominated by achromatic content. This is a consequence of the stimulus structure; luminance varied much more in the natural environment than chromaticity. Only approximately one-sixth of the coherence rate of the PC cells derived from chromatic content, and it was dominated by frequencies below 10 Hz. S-cone-driven ganglion cells also yielded coherence rates dominated by low frequencies. Below 2-3 Hz, PC cell signals contained more power than those of MC cells. Response variation between individual ganglion cells of a particular class was analyzed by constructing generic cells, the properties of which may be relevant for performance higher in the visual system. The approach used here helps define retinal modules useful for studies of higher visual processing of natural stimuli.

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Year:  2002        PMID: 12427852      PMCID: PMC6757854     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  36 in total

1.  Different circuits for ON and OFF retinal ganglion cells cause different contrast sensitivities.

Authors:  Kareem A Zaghloul; Kwabena Boahen; Jonathan B Demb
Journal:  J Neurosci       Date:  2003-04-01       Impact factor: 6.167

2.  Information transmission rates of cat retinal ganglion cells.

Authors:  Christopher L Passaglia; John B Troy
Journal:  J Neurophysiol       Date:  2003-11-05       Impact factor: 2.714

Review 3.  From spectral information to animal colour vision: experiments and concepts.

Authors:  Almut Kelber; Daniel Osorio
Journal:  Proc Biol Sci       Date:  2010-02-17       Impact factor: 5.349

4.  The functional asymmetry of ON and OFF channels in the perception of contrast.

Authors:  Yaoguang Jiang; Gopathy Purushothaman; Vivien A Casagrande
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

5.  On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway.

Authors:  J P Lindemann; R Kern; J H van Hateren; H Ritter; M Egelhaaf
Journal:  J Neurosci       Date:  2005-07-06       Impact factor: 6.167

Review 6.  Photoreceptor spectral sensitivities in terrestrial animals: adaptations for luminance and colour vision.

Authors:  D Osorio; M Vorobyev
Journal:  Proc Biol Sci       Date:  2005-09-07       Impact factor: 5.349

7.  The temporal structure of transient ON/OFF ganglion cell responses and its relation to intra-retinal processing.

Authors:  Andreas Thiel; Martin Greschner; Josef Ammermüller
Journal:  J Comput Neurosci       Date:  2006-05-26       Impact factor: 1.621

8.  The temporal properties of the response of macaque ganglion cells and central mechanisms of flicker detection.

Authors:  Barry B Lee; Hao Sun; Walter Zucchini
Journal:  J Vis       Date:  2007-11-15       Impact factor: 2.240

9.  Preserving information in neural transmission.

Authors:  Lawrence C Sincich; Jonathan C Horton; Tatyana O Sharpee
Journal:  J Neurosci       Date:  2009-05-13       Impact factor: 6.167

10.  Virtual Retina: a biological retina model and simulator, with contrast gain control.

Authors:  Adrien Wohrer; Pierre Kornprobst
Journal:  J Comput Neurosci       Date:  2008-08-01       Impact factor: 1.621

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