File:Mapping-and-Analysis-of-the-Connectome-of-Sympathetic-Premotor-Neurons-in-the-Rostral-Ventrolateral-Video2.ogv

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Original file ‎(Ogg multiplexed audio/video file, Theora/Vorbis, length 40 s, 1,280 × 1,024 pixels, 2.22 Mbps overall, file size: 10.54 MB)

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English: Virtual flythrough showing the positions of monosynaptically connected input neurons colored according to cluster and projected onto the Waxholm MRI dataset. The video starts at the caudal end of the Waxholm MRI dataset, presented in the coronal plane, and flies in the rostral direction. The audio channel denotes the number of input neurons per section.
Date
Source Video 2 from Dempsey B, Le S, Turner A, Bokiniec P, Ramadas R, Bjaalie J, Menuet C, Neve R, Allen A, Goodchild A, McMullan S (2017). "Mapping and Analysis of the Connectome of Sympathetic Premotor Neurons in the Rostral Ventrolateral Medulla of the Rat Using a Volumetric Brain Atlas". Frontiers in Neural Circuits. DOI:10.3389/fncir.2017.00009. PMID 28298886. PMC: 5331070.
Author Dempsey B, Le S, Turner A, Bokiniec P, Ramadas R, Bjaalie J, Menuet C, Neve R, Allen A, Goodchild A, McMullan S
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current17:20, 21 May 201740 s, 1,280 × 1,024 (10.54 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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VP9 720P 853 kbps Completed 19:29, 2 September 2018 42 s
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VP9 480P 546 kbps Completed 19:29, 2 September 2018 30 s
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VP9 360P 370 kbps Completed 19:29, 2 September 2018 23 s
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VP9 240P 242 kbps Completed 19:29, 2 September 2018 19 s
Streaming 240p (VP9) 175 kbps Completed 07:41, 2 February 2024 1.0 s
WebM 360P 520 kbps Completed 17:21, 21 May 2017 18 s
Streaming 144p (MJPEG) 443 kbps Completed 20:43, 10 November 2023 1.0 s
Stereo (Opus) 55 kbps Completed 07:39, 10 November 2023 2.0 s
Stereo (MP3) 128 kbps Completed 07:31, 10 November 2023 1.0 s

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