Literature DB >> 7807211

Response variability of single cells in the dorsal lateral geniculate nucleus of the cat. Comparison with retinal input and effect of brain stem stimulation.

E Hartveit1, P Heggelund.   

Abstract

1. We studied the degree and source of response variability in different classes of cell in the dorsal lateral geniculate nucleus (dLGN). The response of single cells to a series of contrasts of a stationary flashing light spot was measured. The variability analyses were based on the mean and SD of the response to a number of repeated stimulus presentations. The relative variability was expressed by the coefficient of variation (Cv; SD/mean). 2. At a given contrast, the Cv for lagged cells was larger than for nonlagged cells. No difference was found between the Cv of X and Y cells. The magnitude of the Cv was about the same as previously found for cells in striate cortex. Accordingly, little variability is added at the cortical level. The Cv decreased with increasing contrast showing that the reliability of response and the signal-to-noise ratio was improved with increasing contrast. 3. For some cells, the retinal input was determined by recording S potentials in addition to action potentials. The Cv of the retinal input was smaller than the Cv of the dLGN cells at a given contrast. Thus in the paralyzed and anesthetized preparation, variability was added at the geniculate relay. 4. The additional variability was related to modulatory input from the brain stem. This was shown by comparing Cv versus contrast curves for the dLGN cells obtained during electrical stimulation of the peribrachial region of the brain stem (PBR) with corresponding curves obtained without PBR stimulation. During PBR stimulation, which presumably mimics the effects of arousal on the dLGN cell, the Cv at a given contrast was reduced toward the value for the retinal input to the cell. Furthermore PBR stimulation increased the signal-to-noise-ratio of the cell to the level of the retinal input. 5. When Cv was plotted against response rather than against contrast, approximately the same function was found for the various dLGN cell classes. This indicated that the variability basically depended on firing rate rather than on stimulus contrast. No difference of Cv was seen between lagged and nonlagged cells at a given level of response. The difference found at a given level of contrast reflected differences in firing rate of the two cell classes. During PBR stimulation, there was no clear difference between the Cvs of the dLGN cell and its retinal input at a given level of response.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1994        PMID: 7807211     DOI: 10.1152/jn.1994.72.3.1278

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


  11 in total

1.  Muscarinic regulation of dendritic and axonal outputs of rat thalamic interneurons: a new cellular mechanism for uncoupling distal dendrites.

Authors:  J Zhu; P Heggelund
Journal:  J Neurosci       Date:  2001-02-15       Impact factor: 6.167

2.  The episodic nature of spike trains in the early visual pathway.

Authors:  Daniel A Butts; Gaëlle Desbordes; Chong Weng; Jianzhong Jin; Jose-Manuel Alonso; Garrett B Stanley
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

3.  Corticothalamic feedback enhances stimulus response precision in the visual system.

Authors:  Ian M Andolina; Helen E Jones; Wei Wang; Adam M Sillito
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-19       Impact factor: 11.205

4.  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

5.  Functional consequences of neuronal divergence within the retinogeniculate pathway.

Authors:  Chun-I Yeh; Carl R Stoelzel; Chong Weng; Jose-Manuel Alonso
Journal:  J Neurophysiol       Date:  2009-01-28       Impact factor: 2.714

6.  Variability and correlated noise in the discharge of neurons in motor and parietal areas of the primate cortex.

Authors:  D Lee; N L Port; W Kruse; A P Georgopoulos
Journal:  J Neurosci       Date:  1998-02-01       Impact factor: 6.167

7.  The structure and precision of retinal spike trains.

Authors:  M J Berry; D K Warland; M Meister
Journal:  Proc Natl Acad Sci U S A       Date:  1997-05-13       Impact factor: 11.205

8.  Response variability of frontal eye field neurons modulates with sensory input and saccade preparation but not visual search salience.

Authors:  Braden A Purcell; Richard P Heitz; Jeremiah Y Cohen; Jeffrey D Schall
Journal:  J Neurophysiol       Date:  2012-09-05       Impact factor: 2.714

9.  Feedforward origins of response variability underlying contrast invariant orientation tuning in cat visual cortex.

Authors:  Srivatsun Sadagopan; David Ferster
Journal:  Neuron       Date:  2012-06-07       Impact factor: 17.173

Review 10.  Mechanisms of neuronal computation in mammalian visual cortex.

Authors:  Nicholas J Priebe; David Ferster
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

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