File:Unsupervised-Learning-of-Visual-Features-through-Spike-Timing-Dependent-Plasticity-pcbi.0030031.sv003.ogv

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Unsupervised-Learning-of-Visual-Features-through-Spike-Timing-Dependent-Plasticity-pcbi.0030031.sv003.ogv (Ogg Theora video file, length 5 min 0 s, 470 × 490 pixels, 288 kbps, file size: 10.3 MB)

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English: Mixed Case The training set consisted of 200 face pictures, 200 motorbike pictures, and 200 background pictures. Notice that the red cell becomes selective to faces and the blue cell to heads, while the green cell illustrates how a given feature (round shape) can be shared by two categories.
Date
Source Video S3 from Masquelier T, Thorpe S (2007). "Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity". PLOS Computational Biology. DOI:10.1371/journal.pcbi.0030031. PMID 17305422. PMC: 1797822.
Author Masquelier T, Thorpe S
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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Date/TimeThumbnailDimensionsUserComment
current03:27, 31 October 20125 min 0 s, 470 × 490 (10.3 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 480P 146 kbps Completed 21:26, 24 October 2018 1 min 18 s
VP9 360P 86 kbps Completed 21:25, 24 October 2018 38 s
VP9 240P 46 kbps Completed 21:25, 24 October 2018 27 s
WebM 360P 279 kbps Completed 06:30, 12 November 2012 36 s
QuickTime 144p (MJPEG) Not ready Unknown status

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