Literature DB >> 9092612

Response variability of neurons in primary visual cortex (V1) of alert monkeys.

M Gur1, A Beylin, D M Snodderly.   

Abstract

Response variability of neurons limits the reliability and resolution of sensory systems. It is generally thought that response variability in the visual system increases at cortical levels, but the causes of the variability have not been identified. We have measured the response variability of neurons in primary visual cortex (V1) of alert monkeys. We recorded from 80 single cells distributed over all V1 layers and from 8 parvocellular cells of the lateral geniculate nucleus. All cells were stimulated with a bar of near-optimal orientation, color, and dimensions while continuously monitoring the eye movements of fixation. To minimize the effects of eye movements, responses that occurred while the eye was relatively steady were selected for analysis. The impulses elicited by each stimulus presentation were counted, and the variance and coefficient of variation were computed. Both measures of response variability were much lower than reported previously for V1 cells of both alert and anesthetized monkeys. Our data show that fixational eye movements cause a large component of response variance in alert monkeys. Moreover, the reliability of V1 neurons is not obviously degraded compared with lateral geniculate nucleus cells. The high reliability of neurons in alert monkeys is consistent with expectations from conventional biophysical models, and it suggests that activity in a modest number of neurons may suffice to form a perceptual decision.

Mesh:

Year:  1997        PMID: 9092612      PMCID: PMC6573112     

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


  36 in total

1.  Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey.

Authors:  W Bair; C Koch
Journal:  Neural Comput       Date:  1996-08-15       Impact factor: 2.026

2.  Visual receptive fields of neurons in primary visual cortex (V1) move in space with the eye movements of fixation.

Authors:  M Gur; D M Snodderly
Journal:  Vision Res       Date:  1997-02       Impact factor: 1.886

3.  The response variability of striate cortical neurons in the behaving monkey.

Authors:  R Vogels; W Spileers; G A Orban
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

Review 4.  The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs.

Authors:  W R Softky; C Koch
Journal:  J Neurosci       Date:  1993-01       Impact factor: 6.167

5.  Organization of striate cortex of alert, trained monkeys (Macaca fascicularis): ongoing activity, stimulus selectivity, and widths of receptive field activating regions.

Authors:  D M Snodderly; M Gur
Journal:  J Neurophysiol       Date:  1995-11       Impact factor: 2.714

Review 6.  Noise, neural codes and cortical organization.

Authors:  M N Shadlen; W T Newsome
Journal:  Curr Opin Neurobiol       Date:  1994-08       Impact factor: 6.627

7.  Correlated neuronal discharge rate and its implications for psychophysical performance.

Authors:  E Zohary; M N Shadlen; W T Newsome
Journal:  Nature       Date:  1994-07-14       Impact factor: 49.962

8.  Response variability and orientation discrimination of single cells in striate cortex of cat.

Authors:  P Heggelund; K Albus
Journal:  Exp Brain Res       Date:  1978-06-19       Impact factor: 1.972

9.  The statistical reliability of signals in single neurons in cat and monkey visual cortex.

Authors:  D J Tolhurst; J A Movshon; A F Dean
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

10.  Eye position during fixation tasks: comparison of macaque and human.

Authors:  D M Snodderly; D Kurtz
Journal:  Vision Res       Date:  1985       Impact factor: 1.886

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  78 in total

1.  Trial-to-trial variability and state-dependent modulation of auditory-evoked responses in cortex.

Authors:  M A Kisley; G L Gerstein
Journal:  J Neurosci       Date:  1999-12-01       Impact factor: 6.167

2.  Cellular mechanisms contributing to response variability of cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  J Neurosci       Date:  1999-03-15       Impact factor: 6.167

3.  Impact of correlated synaptic input on output firing rate and variability in simple neuronal models.

Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

4.  Consistency of encoding in monkey visual cortex.

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Journal:  J Neurosci       Date:  2001-10-15       Impact factor: 6.167

5.  Precise burst synchrony in the superior colliculus of the awake cat during moving stimulus presentation.

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Journal:  J Neurosci       Date:  2001-01-15       Impact factor: 6.167

6.  Measuring V1 receptive fields despite eye movements in awake monkeys.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  J Neurophysiol       Date:  2003-04-23       Impact factor: 2.714

7.  Internal curvature signal and noise in low- and high-level vision.

Authors:  Timothy D Sweeny; Marcia Grabowecky; Yee Joon Kim; Satoru Suzuki
Journal:  J Neurophysiol       Date:  2011-01-05       Impact factor: 2.714

8.  Testing the odds of inherent vs. observed overdispersion in neural spike counts.

Authors:  Wahiba Taouali; Giacomo Benvenuti; Pascal Wallisch; Frédéric Chavane; Laurent U Perrinet
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

9.  Direction selectivity in V1 of alert monkeys: evidence for parallel pathways for motion processing.

Authors:  Moshe Gur; D Max Snodderly
Journal:  J Physiol       Date:  2007-10-11       Impact factor: 5.182

Review 10.  The significance of microsaccades for vision and oculomotor control.

Authors:  Han Collewijn; Eileen Kowler
Journal:  J Vis       Date:  2008-12-18       Impact factor: 2.240

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