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      Two Disparity Channels in Human Visual Cortex With Different Contrast and Blur Sensitivity

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          Abstract

          Purpose

          Our goal is to describe the contrast and blur sensitivity of multiple horizontal disparity subsystems and to relate them to the contrast and spatial sensitivities of their monocular inputs.

          Methods

          Steady-state visual evoked potential (SSVEP) amplitudes were recorded in response to dynamic random dot stereograms (DRDSs) alternating at 2 Hz between zero disparity and varying magnitudes of crossed disparity for disparity plane and disparity grating stimuli. Half-image contrasts ranged between 2.5% and 80% and over a range of Gaussian blurs from 1.4 to 12 arcmin. Separate experiments measured contrast and blur sensitivity for the monocular half-images.

          Results

          The first and second harmonics disparity responses were maximal for disparity gratings and for the disparity plane condition, respectively. The first harmonic of the disparity grating response was more affected by both contrast and blur than was the second harmonic of the disparity plane response, which had higher contrast sensitivity than the first harmonic.

          Conclusions

          The corrugation frequency, contrast, and blur tuning of the first harmonic suggest that it reflects activity of neurons tuned to higher luminance spatial frequencies that are selective for relative disparity, whereas the second harmonic reflects the activity of neurons sensitive to absolute disparity that are driven by low monocular spatial frequencies.

          Translational Relevance

          SSVEPs to DRDSs provide two objective neural measures of disparity processing, the first harmonic—whose stimulus preferences are similar to those of behavioral stereoacuity—and the second harmonic that represents an independent disparity-specific but not necessarily stereoscopic mechanism.

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          Most cited references94

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            The VideoToolbox software for visual psychophysics: transforming numbers into movies

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              On the interpretation of weight vectors of linear models in multivariate neuroimaging.

              The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate analysis methods. Often it is desired to interpret the outcome of these methods with respect to the cognitive processes under study. Here we discuss which methods allow for such interpretations, and provide guidelines for choosing an appropriate analysis for a given experimental goal: For a surgeon who needs to decide where to remove brain tissue it is most important to determine the origin of cognitive functions and associated neural processes. In contrast, when communicating with paralyzed or comatose patients via brain-computer interfaces, it is most important to accurately extract the neural processes specific to a certain mental state. These equally important but complementary objectives require different analysis methods. Determining the origin of neural processes in time or space from the parameters of a data-driven model requires what we call a forward model of the data; such a model explains how the measured data was generated from the neural sources. Examples are general linear models (GLMs). Methods for the extraction of neural information from data can be considered as backward models, as they attempt to reverse the data generating process. Examples are multivariate classifiers. Here we demonstrate that the parameters of forward models are neurophysiologically interpretable in the sense that significant nonzero weights are only observed at channels the activity of which is related to the brain process under study. In contrast, the interpretation of backward model parameters can lead to wrong conclusions regarding the spatial or temporal origin of the neural signals of interest, since significant nonzero weights may also be observed at channels the activity of which is statistically independent of the brain process under study. As a remedy for the linear case, we propose a procedure for transforming backward models into forward models. This procedure enables the neurophysiological interpretation of the parameters of linear backward models. We hope that this work raises awareness for an often encountered problem and provides a theoretical basis for conducting better interpretable multivariate neuroimaging analyses. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Transl Vis Sci Technol
                Transl Vis Sci Technol
                TVST
                Translational Vision Science & Technology
                The Association for Research in Vision and Ophthalmology
                2164-2591
                27 February 2024
                February 2024
                : 13
                : 2
                : 21
                Affiliations
                [1 ]Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
                [2 ]Department of Psychology, Stanford University, Stanford, CA, USA
                Author notes
                [* ] Correspondence: Milena Kaestner, Wu Tsai Neurosciences Institute, 290 Jane Stanford Way, Stanford, CA 94305, USA. e-mail: milenak@ 123456stanford.edu
                Article
                TVST-23-6230
                10.1167/tvst.13.2.21
                10910559
                38411970
                e54d0a57-cfc3-4619-b708-0551ba7ea040
                Copyright 2024 The Authors

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 07 January 2024
                : 18 September 2023
                Page count
                Pages: 20
                Categories
                Pediatric Ophthalmology & Strabismus
                Pediatric Ophthalmology & Strabismus

                retinal disparity,stereoposis,contrast sensitivity
                retinal disparity, stereoposis, contrast sensitivity

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