Literature DB >> 12122074

Detection and discrimination of relative spatial phase by V1 neurons.

Ferenc Mechler1, Daniel S Reich, Jonathan D Victor.   

Abstract

Edge-like and line-like features result from spatial phase congruence, the local phase agreement between harmonic components of a spatial waveform. Psychophysical observations and models of early visual processing suggest that human visual feature detectors are specialized for edge-like and line-like phase congruence. To test whether primary visual cortex (V1) neurons account for such specificity, we made tetrode recordings in anesthetized macaque monkeys. Stimuli were drifting equal-energy compound gratings composed of four sinusoidal components. Eight congruence phases (one-dimensional features) were tested, including line-like and edge-like waveforms. Many of the 137 single V1 neurons (recorded at 45 sites) could reliably signal phase congruence by any of several response measures. Across neurons, the preferred spatial feature had only a modest bias for line-like waveforms. Information-theoretic analysis showed that congruence phase was temporally encoded in the frequency band present in the stimuli. The most sensitive neurons had feature discrimination thresholds that approached psychophysical levels, but typical neurons were substantially less sensitive. In single V1 neurons, feature discrimination exhibited various dependences on the congruence phase of the reference waveform. Simple cells were over-represented among the most sensitive neurons and on average carried twice as much feature information as complex cells. However, the distribution of the indices of optimal tuning and discrimination of relative phase was indistinguishable in simple and complex cells. Our results suggest that phase-sensitive pooling of responses is required to account for human psychophysical performance, although variation in feature selectivity among nearby neurons is considerable.

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Year:  2002        PMID: 12122074      PMCID: PMC6757932          DOI: 20026297

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


  18 in total

1.  Non-Euclidean properties of spike train metric spaces.

Authors:  Dmitriy Aronov; Jonathan D Victor
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-02

2.  Responses of V1 neurons to two-dimensional hermite functions.

Authors:  Jonathan D Victor; Ferenc Mechler; Michael A Repucci; Keith P Purpura; Tatyana Sharpee
Journal:  J Neurophysiol       Date:  2005-09-07       Impact factor: 2.714

Review 3.  Spike train metrics.

Authors:  Jonathan D Victor
Journal:  Curr Opin Neurobiol       Date:  2005-10       Impact factor: 6.627

4.  'Simplification' of responses of complex cells in cat striate cortex: suppressive surrounds and 'feedback' inactivation.

Authors:  Cedric Bardy; Jin Yu Huang; Chun Wang; Thomas FitzGibbon; Bogdan Dreher
Journal:  J Physiol       Date:  2006-05-18       Impact factor: 5.182

5.  Speed dependence of tuning to one-dimensional features in V1.

Authors:  Ferenc Mechler; Ifije E Ohiorhenuan; Jonathan D Victor
Journal:  J Neurophysiol       Date:  2007-01-24       Impact factor: 2.714

Review 6.  Representation and integration of auditory and visual stimuli in the primate ventral lateral prefrontal cortex.

Authors:  Lizabeth M Romanski
Journal:  Cereb Cortex       Date:  2007-07-18       Impact factor: 5.357

7.  Laminar and orientation-dependent characteristics of spatial nonlinearities: implications for the computational architecture of visual cortex.

Authors:  Jonathan D Victor; Ferenc Mechler; Ifije Ohiorhenuan; Anita M Schmid; Keith P Purpura
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

8.  Representation of cross-frequency spatial phase relationships in human visual cortex.

Authors:  Linda Henriksson; Aapo Hyvärinen; Simo Vanni
Journal:  J Neurosci       Date:  2009-11-11       Impact factor: 6.167

9.  Do image descriptions underlie word recognition in reading?

Authors:  Gordon E Legge; Bosco S Tjan; Susana T L Chung; Charles Bigelow
Journal:  Br J Psychol       Date:  2009-10-23

10.  Subpopulations of neurons in visual area v2 perform differentiation and integration operations in space and time.

Authors:  Anita M Schmid; Keith P Purpura; Ifije E Ohiorhenuan; Ferenc Mechler; Jonathan D Victor
Journal:  Front Syst Neurosci       Date:  2009-11-04
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