Literature DB >> 15044530

Spike generator limits efficiency of information transfer in a retinal ganglion cell.

Narender K Dhingra1, Robert G Smith.   

Abstract

The quality of the signal a retinal ganglion cell transmits to the brain is important for preception because it sets the minimum detectable stimulus. The ganglion cell converts graded potentials into a spike train with a selective filter but in the process adds noise. To explore how efficiently information is transferred to spikes, we measured contrast detection threshold and increment threshold from graded potential and spike responses of brisk-transient ganglion cells. Intracellular responses to a spot flashed over the receptive field center of the cell were recorded in an intact mammalian retina maintained in vitro at 37 degrees C. Thresholds were measured in a single-interval forced-choice procedure with an ideal observer. The graded potential gave a detection threshold of 1.5% contrast, whereas spikes gave 3.8%. The graded potential also gave increment thresholds approximately twofold lower and carried approximately 60% more gray levels. Increment threshold "dipped" below the detection threshold at a low contrast (<5%) but increased rapidly at higher contrasts. The magnitude of the "dipper" for both graded potential and spikes could be predicted from a threshold nonlinearity in the responses. Depolarization of the cell by current injection reduced the detection threshold for spikes but also reduced the range of contrasts they can transmit. This suggests that contrast sensitivity and dynamic range are related in an essential trade-off.

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Year:  2004        PMID: 15044530      PMCID: PMC6729856          DOI: 10.1523/JNEUROSCI.5346-03.2004

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


  17 in total

1.  Retina is structured to process an excess of darkness in natural scenes.

Authors:  Charles P Ratliff; Bart G Borghuis; Yen-Hong Kao; Peter Sterling; Vijay Balasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

2.  Sluggish and brisk ganglion cells detect contrast with similar sensitivity.

Authors:  Ying Xu; Narender K Dhingra; Robert G Smith; Peter Sterling
Journal:  J Neurophysiol       Date:  2004-12-15       Impact factor: 2.714

3.  Detection sensitivity and temporal resolution of visual signals near absolute threshold in the salamander retina.

Authors:  E J Chichilnisky; F Rieke
Journal:  J Neurosci       Date:  2005-01-12       Impact factor: 6.167

4.  Network variability limits stimulus-evoked spike timing precision in retinal ganglion cells.

Authors:  Gabe J Murphy; Fred Rieke
Journal:  Neuron       Date:  2006-11-09       Impact factor: 17.173

5.  Design of a neuronal array.

Authors:  Bart G Borghuis; Charles P Ratliff; Robert G Smith; Peter Sterling; Vijay Balasubramanian
Journal:  J Neurosci       Date:  2008-03-19       Impact factor: 6.167

6.  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

7.  Synaptic noise is an information bottleneck in the inner retina during dynamic visual stimulation.

Authors:  Michael A Freed; Zhiyin Liang
Journal:  J Physiol       Date:  2013-12-02       Impact factor: 5.182

Review 8.  Receptive fields and functional architecture in the retina.

Authors:  Vijay Balasubramanian; Peter Sterling
Journal:  J Physiol       Date:  2009-06-15       Impact factor: 5.182

9.  Cross inhibition from ON to OFF pathway improves the efficiency of contrast encoding in the mammalian retina.

Authors:  Zhiyin Liang; Michael A Freed
Journal:  J Neurophysiol       Date:  2012-08-29       Impact factor: 2.714

10.  Ideal observer analysis of signal quality in retinal circuits.

Authors:  Robert G Smith; Narender K Dhingra
Journal:  Prog Retin Eye Res       Date:  2009-05-13       Impact factor: 21.198

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