File:Emerging phenomena from random paths to model animal behavior-68eUMihxIww.webm

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Original file ‎(WebM audio/video file, VP9/Opus, length 44 min 34 s, 1,280 × 720 pixels, 222 kbps overall, file size: 70.76 MB)

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English: The webinar "Emerging phenomena from random paths to model animal behavior" was given by Daniel Y. Takahashi, from the Universidade Federal do Rio Grande do Norte...In this presentation, he addresses what distinguishes animal behavior from other physical phenomena. For that, Daniel talks about some ontological and empirical remarks on animal behavior, and then proposes a simplistic mathematical model that helps to explain some phenomena related to animal behavior..For more informations about the series of webinars "Mathematics and Neurobiology Intertwined", access: https://neuromat.numec.prp.usp.br/content/nmweb/
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Source YouTube: Emerging phenomena from random paths to model animal behavior – View/save archived versions on archive.org and archive.today
Author NeuroMat

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CC-BY-SA 4.0
This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).

Attribution in English: RIDC NeuroMat
Attribution in Portuguese: CEPID NeuroMat
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Date/TimeThumbnailDimensionsUserComment
current05:54, 26 October 202044 min 34 s, 1,280 × 720 (70.76 MB)Carybe (talk | contribs)=={{int:filedesc}}== {{Information |description={{pt|1=The webinar "Emerging phenomena from random paths to model animal behavior" was given by Daniel Y. Takahashi, from the Universidade Federal do Rio Grande do Norte...In this presentation, he addresses what distinguishes animal behavior from other physical phenomena. For that, Daniel talks about some ontological and empirical remarks on animal behavior, and then proposes a simplistic mathematical model that helps to explain some phenomena...

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Format Bitrate Download Status Encode time
VP9 720P 188 kbps Completed 17:19, 22 April 2022 2 h 15 min 10 s
Streaming 720p (VP9) 99 kbps Completed 02:48, 18 March 2024 4.0 s
VP9 480P 143 kbps Completed 16:16, 22 April 2022 1 h 12 min 19 s
Streaming 480p (VP9) 54 kbps Completed 11:31, 6 February 2024 3.0 s
VP9 360P 123 kbps Completed 16:32, 22 April 2022 1 h 28 min 17 s
Streaming 360p (VP9) 34 kbps Completed 17:34, 7 February 2024 4.0 s
VP9 240P 110 kbps Completed 15:30, 22 April 2022 27 min 6 s
Streaming 240p (VP9) 21 kbps Completed 20:18, 18 December 2023 3.0 s
WebM 360P 145 kbps Completed 16:40, 22 April 2022 1 h 36 min 57 s
Streaming 144p (MJPEG) 917 kbps Completed 01:30, 10 November 2023 1 min 27 s
Stereo (Opus) 88 kbps Completed 12:27, 22 November 2023 50 s
Stereo (MP3) 128 kbps Completed 10:00, 2 November 2023 1 min 2 s

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