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Decoding Neural Responses to Motion-in-Depth Using EEG
Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent spatiotemporal sensitivity profiles, depend upon different low-level stimulus properties, and are poten...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758252/ https://www.ncbi.nlm.nih.gov/pubmed/33362456 http://dx.doi.org/10.3389/fnins.2020.581706 |
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author | Himmelberg, Marc M. Segala, Federico G. Maloney, Ryan T. Harris, Julie M. Wade, Alex R. |
author_facet | Himmelberg, Marc M. Segala, Federico G. Maloney, Ryan T. Harris, Julie M. Wade, Alex R. |
author_sort | Himmelberg, Marc M. |
collection | PubMed |
description | Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent spatiotemporal sensitivity profiles, depend upon different low-level stimulus properties, and are potentially processed along separate cortical pathways. Here, we ask whether these MID cues code for different motion directions: do they give rise to discriminable patterns of neural signals, and is there evidence for their convergence onto a single “motion-in-depth” pathway? To answer this, we use a decoding algorithm to test whether, and when, patterns of electroencephalogram (EEG) signals measured from across the full scalp, generated in response to CD- and IOVD-isolating stimuli moving toward or away in depth can be distinguished. We find that both MID cue type and 3D-motion direction can be decoded at different points in the EEG timecourse and that direction decoding cannot be accounted for by static disparity information. Remarkably, we find evidence for late processing convergence: IOVD motion direction can be decoded relatively late in the timecourse based on a decoder trained on CD stimuli, and vice versa. We conclude that early CD and IOVD direction decoding performance is dependent upon fundamentally different low-level stimulus features, but that later stages of decoding performance may be driven by a central, shared pathway that is agnostic to these features. Overall, these data are the first to show that neural responses to CD and IOVD cues that move toward and away in depth can be decoded from EEG signals, and that different aspects of MID-cues contribute to decoding performance at different points along the EEG timecourse. |
format | Online Article Text |
id | pubmed-7758252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77582522020-12-25 Decoding Neural Responses to Motion-in-Depth Using EEG Himmelberg, Marc M. Segala, Federico G. Maloney, Ryan T. Harris, Julie M. Wade, Alex R. Front Neurosci Neuroscience Two stereoscopic cues that underlie the perception of motion-in-depth (MID) are changes in retinal disparity over time (CD) and interocular velocity differences (IOVD). These cues have independent spatiotemporal sensitivity profiles, depend upon different low-level stimulus properties, and are potentially processed along separate cortical pathways. Here, we ask whether these MID cues code for different motion directions: do they give rise to discriminable patterns of neural signals, and is there evidence for their convergence onto a single “motion-in-depth” pathway? To answer this, we use a decoding algorithm to test whether, and when, patterns of electroencephalogram (EEG) signals measured from across the full scalp, generated in response to CD- and IOVD-isolating stimuli moving toward or away in depth can be distinguished. We find that both MID cue type and 3D-motion direction can be decoded at different points in the EEG timecourse and that direction decoding cannot be accounted for by static disparity information. Remarkably, we find evidence for late processing convergence: IOVD motion direction can be decoded relatively late in the timecourse based on a decoder trained on CD stimuli, and vice versa. We conclude that early CD and IOVD direction decoding performance is dependent upon fundamentally different low-level stimulus features, but that later stages of decoding performance may be driven by a central, shared pathway that is agnostic to these features. Overall, these data are the first to show that neural responses to CD and IOVD cues that move toward and away in depth can be decoded from EEG signals, and that different aspects of MID-cues contribute to decoding performance at different points along the EEG timecourse. Frontiers Media S.A. 2020-12-10 /pmc/articles/PMC7758252/ /pubmed/33362456 http://dx.doi.org/10.3389/fnins.2020.581706 Text en Copyright © 2020 Himmelberg, Segala, Maloney, Harris and Wade. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Himmelberg, Marc M. Segala, Federico G. Maloney, Ryan T. Harris, Julie M. Wade, Alex R. Decoding Neural Responses to Motion-in-Depth Using EEG |
title | Decoding Neural Responses to Motion-in-Depth Using EEG |
title_full | Decoding Neural Responses to Motion-in-Depth Using EEG |
title_fullStr | Decoding Neural Responses to Motion-in-Depth Using EEG |
title_full_unstemmed | Decoding Neural Responses to Motion-in-Depth Using EEG |
title_short | Decoding Neural Responses to Motion-in-Depth Using EEG |
title_sort | decoding neural responses to motion-in-depth using eeg |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758252/ https://www.ncbi.nlm.nih.gov/pubmed/33362456 http://dx.doi.org/10.3389/fnins.2020.581706 |
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