Literature DB >> 15175375

How retinal ganglion cells prevent synaptic noise from reaching the spike output.

Jonathan B Demb1, Peter Sterling, Michael A Freed.   

Abstract

Synaptic vesicles are released stochastically, and therefore stimuli that increase a neuron's synaptic input might increase noise at its spike output. Indeed this appears true for neurons in primary visual cortex, where spike output variability increases with stimulus contrast. But in retinal ganglion cells, although intracellular recordings (with spikes blocked) showed that stronger stimuli increase membrane fluctuations, extracellular recordings showed that noise at the spike output is constant. Here we show that these seemingly paradoxical findings occur in the same cell and explain why. We made intracellular recordings from ganglion cells, in vitro, and presented periodic stimuli of various contrasts. For each stimulus cycle, we measured the response at the stimulus frequency (F1) for both membrane potential and spikes as well as the spike rate. The membrane and spike F1 response increased with contrast, but noise (SD) in the F1 responses and the spike rate was constant. We also measured membrane fluctuations (with spikes blocked) during the response depolarization and found that they did increase with contrast. However, increases in fluctuation amplitude were small relative to the depolarization (<10% at high contrast). A model based on estimated synaptic convergence, release rates, and membrane properties accounted for the relative magnitudes of fluctuations and depolarization. Furthermore, a cell's peak spike response preceded the peak depolarization, and therefore fluctuation amplitude peaked as the spike response declined. We conclude that two extremely general properties of a neuron, synaptic convergence and spike generation, combine to minimize the effects of membrane fluctuations on spiking.

Mesh:

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Year:  2004        PMID: 15175375     DOI: 10.1152/jn.00108.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  10 in total

1.  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

2.  Contrast adaptation in subthreshold and spiking responses of mammalian Y-type retinal ganglion cells.

Authors:  Kareem A Zaghloul; Kwabena Boahen; Jonathan B Demb
Journal:  J Neurosci       Date:  2005-01-26       Impact factor: 6.167

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

5.  NMDA receptor contributions to visual contrast coding.

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6.  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

7.  Loss of sensitivity in an analog neural circuit.

Authors:  Bart G Borghuis; Peter Sterling; Robert G Smith
Journal:  J Neurosci       Date:  2009-03-11       Impact factor: 6.167

8.  The maintained discharge of rat retinal ganglion cells.

Authors:  Daniel K Freeman; Walter F Heine; Christopher L Passaglia
Journal:  Vis Neurosci       Date:  2008-07-18       Impact factor: 3.241

9.  Signals and noise in an inhibitory interneuron diverge to control activity in nearby retinal ganglion cells.

Authors:  Gabe J Murphy; Fred Rieke
Journal:  Nat Neurosci       Date:  2008-01-27       Impact factor: 24.884

10.  Directional summation in non-direction selective retinal ganglion cells.

Authors:  Syed Y Abbas; Khaldoun C Hamade; Ellen J Yang; Scott Nawy; Robert G Smith; Diana L Pettit
Journal:  PLoS Comput Biol       Date:  2013-03-14       Impact factor: 4.475

  10 in total

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