Literature DB >> 680039

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

P Heggelund, K Albus.   

Abstract

The response of single cells in the striate cortex of cat to a moving light bar of variable orientation was measured by a method providing data on the mean response as well as the standard deviation (SD) at the different stimulus orientations. At the optimal stimulus orientation the SD was about 1/3 of the mean response. Marked differences in this respect were found between simple and complex cells, i.e., the SD for the simple cells was about 1/2 of the mean response and about 1/4 for the complex cells. The variation coefficient (Vc = SD/mean) was minimal at the optimal orientation and increased relatively in the same manner for simple and complex cells as the stimulus orientation was varied away from optimal orientation. The Vc varied with the mean response at optimal orientation in a nonlinear manner. A function is proposed which fits this relationship and which is equally applicable for both simple and complex cells. The mean orientation discrimination (MOD) was defined as that change in orientation angle away from the optimal which produced a response statistically different--on the 1% level--from the response to the optimal orientation. There were differences in MOD between the two sides of the orientation tuning curve: the mean of the smaller of the two values was 13.5 deg and of the larger 19.7 deg. No significant difference in MOD was found between simple and complex cells despite the fact that the halfwidth of the tuning curves for the two cell types was 19.5 deg and 31.6 deg, respectively. The preciseness in localization of the most sensitive part within the receptive field of single cells was calculated from the variability in time of occurrence of the smallest interspike interval. The degree of preciseness was found to be of the order of 1/4 of the receptive field diameter in both simple and complex cells. When nonoptimal stimulus orientations were presented, the preciseness significantly decreased in complex cells whereas it remained unchanged in simple cells. It is suggested that the same type of intracortical wiring produces orientation selectivity in simple and complex cells, and that the differences in tuning width are mainly due to a larger extension of inhibitory fields in the simple cells. Considering the cortical visual cells as elementary units in a network built for orientation detection and discrimination, the tuning width seems of minor importance for that function.

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Year:  1978        PMID: 680039     DOI: 10.1007/BF00239727

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  27 in total

1.  RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Neurophysiol       Date:  1965-03       Impact factor: 2.714

2.  A quantitative study of the projection area of the central and the paracentral visual field in area 17 of the cat. II. The spatial organization of the orientation domain.

Authors:  K Albus
Journal:  Exp Brain Res       Date:  1975-12-22       Impact factor: 1.972

3.  The depth distribution of optimal stimulus orientations for neurones in cat area 17.

Authors:  B B Lee; K Albus; P Heggelund; M J Hulme; O D Creutzfeldt
Journal:  Exp Brain Res       Date:  1977-03-30       Impact factor: 1.972

4.  An intracellular analysis of visual cortical neurones to moving stimuli: response in a co-operative neuronal network.

Authors:  O D Creutzfeldt; U Kuhnt; L A Benevento
Journal:  Exp Brain Res       Date:  1974       Impact factor: 1.972

5.  Neuronal variability: non-stationary responses to identical visual stimuli.

Authors:  G J Tomko; D R Crapper
Journal:  Brain Res       Date:  1974-10-25       Impact factor: 3.252

6.  Orientation specificity of cells in cat striate cortex.

Authors:  G H Henry; B Dreher; P O Bishop
Journal:  J Neurophysiol       Date:  1974-11       Impact factor: 2.714

7.  Vertical organization in the visual cortex (area 17) in the cat.

Authors:  O Creutzfeldt; G M Innocenti; D Brooks
Journal:  Exp Brain Res       Date:  1974       Impact factor: 1.972

8.  Perception of contour orientation in the central fovea. I: short lines.

Authors:  D P Andrews
Journal:  Vision Res       Date:  1967-11       Impact factor: 1.886

9.  On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images.

Authors:  C Blakemore; F W Campbell
Journal:  J Physiol       Date:  1969-07       Impact factor: 5.182

10.  An analysis of variability in somatosensory cortical neuron discharge.

Authors:  B L Whitsel; R C Schreiner; G K Essick
Journal:  J Neurophysiol       Date:  1977-05       Impact factor: 2.714

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  47 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.  Neuronal interactions improve cortical population coding of movement direction.

Authors:  E M Maynard; N G Hatsopoulos; C L Ojakangas; B D Acuna; J N Sanes; R A Normann; J P Donoghue
Journal:  J Neurosci       Date:  1999-09-15       Impact factor: 6.167

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

Review 4.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

5.  Correlations between directional and orientational tuning of cells in cat striate cortex.

Authors:  F Wörgötter; T Muche; U T Eysel
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

6.  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

7.  Dependence of visual cell properties on intracortical synapses among hypercolumns: analysis by a computer model.

Authors:  Mauro Ursino; Giuseppe-Emiliano La Cara
Journal:  J Comput Neurosci       Date:  2005-12       Impact factor: 1.621

8.  The response of neurons in areas V1 and MT of the alert rhesus monkey to moving random dot patterns.

Authors:  R J Snowden; S Treue; R A Andersen
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

9.  Predicting spike timing of neocortical pyramidal neurons by simple threshold models.

Authors:  Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

10.  Binocular processing in the cat's dorsal lateral geniculate nucleus. III. Spatial frequency, orientation, and direction sensitivity of nondominant-eye influences.

Authors:  R J Moore; P D Spear; C B Kim; J T Xue
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

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