File:Solving-Navigational-Uncertainty-Using-Grid-Cells-on-Robots-pcbi.1000995.s005.ogv

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Solving-Navigational-Uncertainty-Using-Grid-Cells-on-Robots-pcbi.1000995.s005.ogv ‎(Ogg Theora video file, length 35 s, 720 × 576 pixels, 330 kbps, file size: 1.39 MB)

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English: Video of the multiple pose estimates encoded by the ensemble cell firing (see Figure 10). After initial placement at corner C (bottom right) facing corner D (bottom left), the robot sees a black cue and cell firing encodes two equally likely location estimates. These location estimates are updated as the robot moves towards corner D. After turning corner D and seeing a second black cue, the cell firing supporting the correct location estimate strengthens, while the cell firing supporting the incorrect estimate weakens and then ceases.
Date
Source Video S1 from Milford M, Wiles J, Wyeth G (2010). "Solving Navigational Uncertainty Using Grid Cells on Robots". PLOS Computational Biology. DOI:10.1371/journal.pcbi.1000995. PMID 21085643. PMC: 2978698.
Author Milford M, Wiles J, Wyeth G
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Date/TimeThumbnailDimensionsUserComment
current00:50, 22 November 201235 s, 720 × 576 (1.39 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 141 kbps Completed 02:44, 20 October 2018 19 s
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VP9 360P 76 kbps Completed 02:44, 20 October 2018 13 s
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VP9 240P 42 kbps Completed 02:44, 20 October 2018 9.0 s
Streaming 240p (VP9) 43 kbps Completed 09:37, 16 December 2023 1.0 s
WebM 360P 438 kbps Completed 00:50, 22 November 2012 16 s
Streaming 144p (MJPEG) 858 kbps Completed 14:51, 18 November 2023 2.0 s

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