Literature DB >> 2230944

How well do response changes of striate neurons signal differences in orientation: a study in the discriminating monkey.

R Vogels1, G A Orban.   

Abstract

Just-noticeable differences (JNDs) in orientation were measured in 2 monkeys using a temporal same-different task, with stationary rectangular gratings as stimuli, and compared to those of humans tested in the same setup. The JNDs of one monkey (1.5 degree) were similar to those of humans; those of the other monkey were larger (5.8 degrees). We recorded from V1 neurons in these monkeys while they were performing the orientation discrimination with the same stimuli and under the same conditions as used in the behavioral testing. In order to determine how small a difference in orientation the V1 neurons can, in these conditions, signal reliably by small changes in firing rate, we performed 2 different receiver-operating characteristic (ROC) analyses. One ROC analysis was performed on the number of spikes evoked by the first of the 2 stimulus presentations as a function of the orientation of this stimulus. Neural JNDs derived from the neurometric curve were obtained in this way for 50 cells. In the second ROC analysis, the difference in the number of spikes evoked by the 2 stimuli presented in succession during 1 trial was analyzed as a function of orientation difference between the 2 stimuli. Neural JNDs were obtained by this procedure for 21 cells. These 2 complementary ROC analyses yielded very similar results. Also, the results were similar for the 2 monkeys. A minor fraction of V1 cells can reliably signal difference in orientation as small as 2.5 degrees, but none could signal differences smaller than 2 degrees. Our results also showed that the neural JND obtained by the ROC analysis depends on the duration of the interval during which spikes are counted. In these experiments, this duration could be chosen rather precisely, because the reaction times of the 2 monkeys were measured. Also, our results showed that the neural JND depends on the point of the tuning curve at which the measurement is made and is smallest when this is done on the steepest part of the tuning curve. Finally, our results show that the discriminative capacity of V1 neurons does not depend so much on each of the tuning characteristics--bandwidth, response strength, and variability--as on the combination of these factors.

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Mesh:

Year:  1990        PMID: 2230944      PMCID: PMC6570107     

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


  52 in total

1.  The precision of single neuron responses in cortical area V1 during stereoscopic depth judgments.

Authors:  S J Prince; A D Pointon; B G Cumming; A J Parker
Journal:  J Neurosci       Date:  2000-05-01       Impact factor: 6.167

2.  Neuronal correlates of sensory discrimination in the somatosensory cortex.

Authors:  A Hernández; A Zainos; R Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

3.  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

4.  Spatial processing in the auditory cortex of the macaque monkey.

Authors:  G H Recanzone
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

5.  Neural coding with graded membrane potential changes and spikes.

Authors:  J Kretzberg; A K Warzecha; M Egelhaaf
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

6.  Exploring the cortical evidence of a sensory-discrimination process.

Authors:  Ranulfo Romo; Adrián Hernández; Antonio Zainos; Carlos Brody; Emilio Salinas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-08-29       Impact factor: 6.237

7.  A parieto-frontal network for visual numerical information in the monkey.

Authors:  Andreas Nieder; Earl K Miller
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-03       Impact factor: 11.205

8.  Population coding of visual stimuli by cortical neurons tuned to more than one dimension.

Authors:  E Zohary
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

9.  Local diversity and fine-scale organization of receptive fields in mouse visual cortex.

Authors:  Vincent Bonin; Mark H Histed; Sergey Yurgenson; R Clay Reid
Journal:  J Neurosci       Date:  2011-12-14       Impact factor: 6.167

10.  Ability of primary auditory cortical neurons to detect amplitude modulation with rate and temporal codes: neurometric analysis.

Authors:  Jeffrey S Johnson; Pingbo Yin; Kevin N O'Connor; Mitchell L Sutter
Journal:  J Neurophysiol       Date:  2012-03-14       Impact factor: 2.714

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