Literature DB >> 6663507

Correlation of activity in neighbouring goldfish ganglion cells: relationship between latency and lag.

J A Johnsen, M W Levine.   

Abstract

Pairs of retinal ganglion cells in the isolated goldfish retina were recorded simultaneously with a single electrode. Repeated flashes of light were delivered to evaluate the response latency of each of the units. The cross-correlation histogram for the maintained discharge of each pair of cells was examined, and its temporal relationships (lags) were compared with the differences in response latencies of the two units. There was a strong correlation between these measures; however, the differences between latencies were often at least twice as great as the lags. The differences between the times to the peaks of the responses of the two units were less reliably related to the lags of the pairs, although the correlation was positive and the differences in time-to-peak generally greater than the lags. The weaker relationship between the difference in time-to-peak and lag than between latency difference and lag is apparently a manifestation of a negative correlation between latency and rise time (from first response to peak). This indicates that cells with a longer latency compensate with a faster rise time. There was a negative correlation between the mean maintained rate of a neurone and its response latency. That is, cells with faster maintained discharge rates respond sooner than those with slower maintained rates. There was virtually no relationship between the lags or the differences in latency and the differences between the magnitudes of the responses to light. Thus, it is unlikely that differences in latency (or lags) could be attributed to unequal effectiveness of the stimuli for the two units. The relationship between differences in latency and lags did not depend on the response categorizations of the two units. Specifically, it did not matter whether the members of the pair were on centre, off centre or on-off centre; neither did it matter whether they were X-like or not-X-like neurones. Consideration of these data leads to the conclusion that there must be 'marked' pathways of differential conduction velocity through the retina.

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Year:  1983        PMID: 6663507      PMCID: PMC1193806          DOI: 10.1113/jphysiol.1983.sp014987

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  25 in total

1.  Properties of cat retinal ganglion cells: a comparison of W-cells with X- and Y-cells.

Authors:  J Stone; Y Fukuda
Journal:  J Neurophysiol       Date:  1974-07       Impact factor: 2.714

2.  Properties of rarely encountered types of ganglion cells in the cat's retina and an overall classification.

Authors:  B G Cleland; W R Levick
Journal:  J Physiol       Date:  1974-07       Impact factor: 5.182

3.  Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains.

Authors:  D H Perkel; G L Gerstein; G P Moore
Journal:  Biophys J       Date:  1967-07       Impact factor: 4.033

4.  Flux, not retinal illumination, is what cat retinal ganglion cells really care about.

Authors:  C Enroth-Cugell; R M Shapley
Journal:  J Physiol       Date:  1973-09       Impact factor: 5.182

5.  Origin of the stochastic nature of ganglion cell activity in isolated goldfish retina.

Authors:  N A Schellart; H Spekreijse
Journal:  Vision Res       Date:  1973-02       Impact factor: 1.886

6.  The effects of carbon dioxide on the excised goldfish retina.

Authors:  I Abramov; M W Levine
Journal:  Vision Res       Date:  1972-11       Impact factor: 1.886

7.  Colour-coded ganglion cells in the goldfish retina: extension of their receptive fields by means of new stimuli.

Authors:  N W Daw
Journal:  J Physiol       Date:  1968-08       Impact factor: 5.182

8.  Quantitative aspects of gain and latency in the cat retina.

Authors:  B G Cleland; C Enroth-Cugell
Journal:  J Physiol       Date:  1970-01       Impact factor: 5.182

9.  Spectral and spatial coding of ganglion cell responses in goldfish retina.

Authors:  H Spekreijse; H G Wagner; M L Wolbarsht
Journal:  J Neurophysiol       Date:  1972-01       Impact factor: 2.714

10.  Maintained activity of cat retinal ganglion cells.

Authors:  R W Rodieck
Journal:  J Neurophysiol       Date:  1967-09       Impact factor: 2.714

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  7 in total

1.  Changing patterns of binocular visual connections in the intertectal system during development of the frog, Xenopus laevis. III. Modifications following early eye rotation.

Authors:  S Grant; M J Keating
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

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

Authors:  Daniel J Graham; Damon M Chandler; David J Field
Journal:  Vision Res       Date:  2006-06-16       Impact factor: 1.886

3.  A sharp retinal image increases the topographic precision of the goldfish retinotectal projection during optic nerve regeneration in stroboscopic light.

Authors:  J E Cook
Journal:  Exp Brain Res       Date:  1987       Impact factor: 1.972

Review 4.  Multineuronal codes in retinal signaling.

Authors:  M Meister
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-23       Impact factor: 11.205

5.  Common noise in the firing of neighbouring ganglion cells in goldfish retina.

Authors:  K S Ginsburg; J A Johnsen; M W Levine
Journal:  J Physiol       Date:  1984-06       Impact factor: 5.182

6.  A submucosal mechanism for catecholamine-induced increases in fluid absorption in rabbit ileum in vitro.

Authors:  M A Ahsan; R J Naftalin; P M Smith
Journal:  J Physiol       Date:  1988-10       Impact factor: 5.182

7.  Simultaneity in the millisecond range as a requirement for effective shape recognition.

Authors:  Ernest Greene
Journal:  Behav Brain Funct       Date:  2006-11-29       Impact factor: 3.759

  7 in total

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