File:Identifying-Objective-EEG-Based-Markers-of-Linear-Vection-in-Depth-Video2.ogv

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Original file ‎(Ogg Theora video file, length 5.0 s, 1,023 × 768 pixels, 4.05 Mbps, file size: 2.42 MB)

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Description
English: “Motion control” display. This was constructed by first dividing the “self-motion” display into six equally sized sectors and then randomly scrambling the screen locations of these sectors. This is a 5 s section of a 20 s display.
Date
Source Supplementary Movie 2 from Palmisano S, Barry R, De Blasio F, Fogarty J (2016). "Identifying Objective EEG Based Markers of Linear Vection in Depth". Frontiers in Psychology. DOI:10.3389/fpsyg.2016.01205. PMID 27559328. PMC: 4979253.
Author Palmisano S, Barry R, De Blasio F, Fogarty J
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(Reusing this file)
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
WikiProject Open Access
WikiProject Open Access

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Date/TimeThumbnailDimensionsUserComment
current19:22, 24 September 20165.0 s, 1,023 × 768 (2.42 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 720P 1.22 Mbps Completed 11:35, 29 August 2018 15 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 706 kbps Completed 11:35, 29 August 2018 11 s
Streaming 480p (VP9) 707 kbps Completed 10:21, 22 March 2024 1.0 s
VP9 360P 460 kbps Completed 11:35, 29 August 2018 8.0 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 321 kbps Completed 11:35, 29 August 2018 10 s
Streaming 240p (VP9) 322 kbps Completed 03:44, 5 December 2023 1.0 s
WebM 360P 527 kbps Completed 19:23, 24 September 2016 8.0 s
Streaming 144p (MJPEG) 560 kbps Completed 08:17, 15 November 2023 1.0 s

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