Literature DB >> 16000525

Disparity-tuning characteristics of neuronal responses to dynamic random-dot stereograms in macaque visual area V4.

Seiji Tanabe1, Takahiro Doi, Kazumasa Umeda, Ichiro Fujita.   

Abstract

Stereo processing begins in the striate cortex and involves several extrastriate visual areas. We quantitatively analyzed the disparity-tuning characteristics of neurons in area V4 of awake, fixating monkeys. Approximately half of the analyzed V4 cells were tuned for horizontal binocular disparities embedded in dynamic random-dot stereograms (RDSs). Their response preferences were strongly biased for crossed disparities. To characterize the disparity-tuning profile, we fitted a Gabor function to the disparity-tuning data. The distribution of V4 cells showed a single dense cluster in a joint parameter space of the center and the phase parameters of the fitted Gabor function; most V4 neurons were maximally sensitive to fine stereoscopic depth increments near zero disparity. Comparing single-cell responses with background multiunit responses at the same sites showed that disparity-sensitive cells were clustered within V4 and that nearby cells possessed similar preferred disparities. Consistent with a recent report by Hegdé and Van Essen, the disparity tuning for an RDS drastically differed from that for a solid-figure stereogram (SFS). Disparity-tuning curves were generally broader for SFSs than for RDSs, and there was no correlation between the fitted Gabor functions' amplitudes, widths, or peaks for the two types of stereograms. The differences were partially attributable to shifts in the monocular images of an SFS. Our results suggest that the representation of stereoscopic depth in V4 is suited for detecting fine structural features protruding from a background. The representation is not generic and differs when the stimulus is broad-band noise or a solid figure.

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Year:  2005        PMID: 16000525     DOI: 10.1152/jn.00319.2005

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


  25 in total

1.  Pooled, but not single-neuron, responses in macaque V4 represent a solution to the stereo correspondence problem.

Authors:  Mohammad Abdolrahmani ا; Takahiro Doi; Hiroshi M Shiozaki; Ichiro Fujita
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  Coding of stereoscopic depth information in visual areas V3 and V3A.

Authors:  Akiyuki Anzai; Syed A Chowdhury; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2011-07-13       Impact factor: 6.167

3.  Adaptive estimation of three-dimensional structure in the human brain.

Authors:  Tim J Preston; Zoe Kourtzi; Andrew E Welchman
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

4.  Functional architecture for disparity in macaque inferior temporal cortex and its relationship to the architecture for faces, color, scenes, and visual field.

Authors:  Bram-Ernst Verhoef; Kaitlin S Bohon; Bevil R Conway
Journal:  J Neurosci       Date:  2015-04-29       Impact factor: 6.167

5.  Single-cell responses to three-dimensional structure in a functionally defined patch in macaque area TEO.

Authors:  Amir-Mohammad Alizadeh; Ilse C Van Dromme; Peter Janssen
Journal:  J Neurophysiol       Date:  2018-09-19       Impact factor: 2.714

Review 6.  Weighted parallel contributions of binocular correlation and match signals to conscious perception of depth.

Authors:  Ichiro Fujita; Takahiro Doi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-06-19       Impact factor: 6.237

Review 7.  Toward a unified theory of visual area V4.

Authors:  Anna W Roe; Leonardo Chelazzi; Charles E Connor; Bevil R Conway; Ichiro Fujita; Jack L Gallant; Haidong Lu; Wim Vanduffel
Journal:  Neuron       Date:  2012-04-12       Impact factor: 17.173

8.  Impact of chiasma opticum malformations on the organization of the human ventral visual cortex.

Authors:  Falko R Kaule; Barbara Wolynski; Irene Gottlob; Joerg Stadler; Oliver Speck; Martin Kanowski; Synke Meltendorf; Wolfgang Behrens-Baumann; Michael B Hoffmann
Journal:  Hum Brain Mapp       Date:  2014-04-25       Impact factor: 5.038

9.  Visual field biases for near and far stimuli in disparity selective columns in human visual cortex.

Authors:  Shahin Nasr; Roger B H Tootell
Journal:  Neuroimage       Date:  2016-09-10       Impact factor: 6.556

10.  Feature-location binding in 3D: Feature judgments are biased by 2D location but not position-in-depth.

Authors:  Nonie J Finlayson; Julie D Golomb
Journal:  Vision Res       Date:  2016-07-28       Impact factor: 1.886

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