Literature DB >> 12678585

Transient cells can be neurometrically sustained: the positional accuracy or retinal signals to moving targets.

Lukas Rüttiger1, Barry Lee, Hao Sun.   

Abstract

The spatial accuracy inherent in retinal ganglion cell responses to moving targets was investigated by measuring trial-to-trial variability in response locus. When moving bars were used as stimuli, analysis of impulse trains showed that parafoveal cells of the magnocellular (MC) pathway provided a consistently accurate spatial signal over a range of target velocities up to ~8 deg/sec. Parvocellular (PC) pathway cells delivered less accurate signals even at low velocities, and their signals became even less accurate at higher target speeds. Human vernier performance in parafovea resembled the physiological MC-cell result, which suggests this feature of MC-cell behavior is functionally utilized. A similar result held with moving gratings; the highest signal-to-noise ratio for MC-cells occurred at low temporal frequencies. Psychophysical vernier thresholds to grating targets resembled phase variability of MC-cell responses as a function of temporal frequency. The analyses of physiological data utilized both the number of impulses a cell generates and their timing; MC-cells' responses may have low peak rates to slow moving stimuli compared to fast stimuli, but a spatially precise signal may be derived because many impulses are evoked at lower speeds. The results show that transient neurons can yield precise information about slowly moving stimuli, provided appropriate central mechanisms for extracting this information are present. Such central mechanisms would require either a long integration time or a suitable spatiotemporal filter that integrates over the ganglion array. Because accurate vernier performance can be achieved with brief presentations, the latter alternative is indicated.

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Mesh:

Year:  2002        PMID: 12678585     DOI: 10.1167/2.3.3

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  12 in total

1.  Impact of noise on retinal coding of visual signals.

Authors:  Christopher L Passaglia; John B Troy
Journal:  J Neurophysiol       Date:  2004-04-07       Impact factor: 2.714

Review 2.  Visual pathways and psychophysical channels in the primate.

Authors:  Barry B Lee
Journal:  J Physiol       Date:  2010-08-19       Impact factor: 5.182

3.  Segregation of chromatic and luminance signals using a novel grating stimulus.

Authors:  Barry B Lee; Hao Sun; Arne Valberg
Journal:  J Physiol       Date:  2010-10-11       Impact factor: 5.182

4.  Luminance and chromatic contributions to a hyperacuity task: isolation by contrast polarity and target separation.

Authors:  Hao Sun; Bonnie Cooper; Barry B Lee
Journal:  Vision Res       Date:  2012-01-27       Impact factor: 1.886

5.  A method for estimating intrinsic noise in electroretinographic (ERG) signals.

Authors:  Andrew J Zele; Beatrix Feigl; Pradeep K Kambhampati; Amithavikram R Hathibelagal; Jan Kremers
Journal:  Doc Ophthalmol       Date:  2015-08-19       Impact factor: 2.379

6.  Systematic misestimation in a vernier task arising from contrast mismatch.

Authors:  Hao Sun; Barry B Lee; Rigmor C Baraas
Journal:  Vis Neurosci       Date:  2008-03-06       Impact factor: 3.241

Review 7.  Neural models and physiological reality.

Authors:  Barry B Lee
Journal:  Vis Neurosci       Date:  2008-03-06       Impact factor: 3.241

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.  Stimulus dependence of the flash-lag effect.

Authors:  Christopher R L Cantor; Clifton M Schor
Journal:  Vision Res       Date:  2007-09-14       Impact factor: 1.886

10.  A quantitative description of macaque ganglion cell responses to natural scenes: the interplay of time and space.

Authors:  Manuel Schottdorf; Barry B Lee
Journal:  J Physiol       Date:  2021-06-01       Impact factor: 5.182

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