Literature DB >> 15277596

Precision of spike trains in primate retinal ganglion cells.

V J Uzzell1, E J Chichilnisky.   

Abstract

Recent studies have revealed striking precision in the spike trains of retinal ganglion cells in several species and suggested that this precision could be an important aspect of visual signaling. However, the precision of spike trains has not yet been described in primate retina. The spike time and count variability of parasol (magnocellular-projecting) retinal ganglion cells was examined in isolated macaque monkey retinas stimulated with repeated presentations of high contrast, spatially uniform intensity modulation. At the onset of clearly delineated periods of firing, retinal ganglion cells fired spikes time-locked to the stimulus with a variability across trials as low as 1 ms. Spike count variance across trials was much lower than the mean and sometimes approached the minimum variance possible with discrete counts, inconsistent with Poisson statistics expected from independently generated spikes. Spike time and count variability decreased systematically with stimulus strength. These findings were consistent with a model in which firing probability was determined by a stimulus-driven free firing rate modulated by a recovery function representing the action potential absolute and relative refractory period.

Mesh:

Year:  2004        PMID: 15277596     DOI: 10.1152/jn.01171.2003

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


  65 in total

1.  Decorrelation and efficient coding by retinal ganglion cells.

Authors:  Xaq Pitkow; Markus Meister
Journal:  Nat Neurosci       Date:  2012-03-11       Impact factor: 24.884

2.  Neural coding properties based on spike timing and pattern correlation of retinal ganglion cells.

Authors:  Han-Yan Gong; Ying-Ying Zhang; Pei-Ji Liang; Pu-Ming Zhang
Journal:  Cogn Neurodyn       Date:  2010-06-29       Impact factor: 5.082

3.  Connexin 36 and rod bipolar cell independent rod pathways drive retinal ganglion cells and optokinetic reflexes.

Authors:  Cameron S Cowan; Muhammad Abd-El-Barr; Meike van der Heijden; Eric M Lo; David Paul; Debra E Bramblett; Janis Lem; David L Simons; Samuel M Wu
Journal:  Vision Res       Date:  2016-02-05       Impact factor: 1.886

4.  Origin of information-limiting noise correlations.

Authors:  Ingmar Kanitscheider; Ruben Coen-Cagli; Alexandre Pouget
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

5.  A clockwork hypothesis: synaptic release by rod photoreceptors must be regular.

Authors:  Stan Schein; Kareem M Ahmad
Journal:  Biophys J       Date:  2005-09-16       Impact factor: 4.033

6.  Dejittered spike-conditioned stimulus waveforms yield improved estimates of neuronal feature selectivity and spike-timing precision of sensory interneurons.

Authors:  Zane N Aldworth; John P Miller; Tomás Gedeon; Graham I Cummins; Alexander G Dimitrov
Journal:  J Neurosci       Date:  2005-06-01       Impact factor: 6.167

7.  Response variability of marmoset parvocellular neurons.

Authors:  J D Victor; E M Blessing; J D Forte; P Buzás; P R Martin
Journal:  J Physiol       Date:  2006-11-23       Impact factor: 5.182

8.  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

9.  Linking impulse response functions to reaction time: rod and cone reaction time data and a computational model.

Authors:  Dingcai Cao; Andrew J Zele; Joel Pokorny
Journal:  Vision Res       Date:  2007-03-07       Impact factor: 1.886

10.  Neurons in a forebrain nucleus required for vocal plasticity rapidly switch between precise firing and variable bursting depending on social context.

Authors:  Mimi H Kao; Brian D Wright; Allison J Doupe
Journal:  J Neurosci       Date:  2008-12-03       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.