File:Multi-area models at cellular resolution as a platform for advancing math concepts of brain function-Rm9-N6-xCgM.webm

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English: (The original talk title was: "Multi-area models at cellular resolution with digitized workflows as a platform for advancing mathematical concepts of brain function")..Speaker: Markus Diesmann (Juelich Research Center)..Abstract: This talk was part of the event "Mathematical and Simulation Modeling in Neuroscience" held in Neuromat in November 13-14, 2018...The event website is:.https://neuromat.numec.prp.usp.br/matsim..The presentation can be found here:.https://neuromat.numec.prp.usp.br/matsim
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Source YouTube: Multi-area models at cellular resolution as a platform for advancing math concepts of brain function – View/save archived versions on archive.org and archive.today
Author NeuroMat

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RDCI NeuroMat

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
current04:22, 26 October 202046 min 26 s, 1,280 × 720 (322.85 MB)Carybe (talk | contribs)=={{int:filedesc}}== {{Information |description={{pt|1=(The original talk title was: "Multi-area models at cellular resolution with digitized workflows as a platform for advancing mathematical concepts of brain function")..Speaker: Markus Diesmann (Juelich Research Center)..Abstract: This talk was part of the event "Mathematical and Simulation Modeling in Neuroscience" held in Neuromat in November 13-14, 2018...The event website is:.https://neuromat.numec.prp.usp.br/matsim..The presentation...

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Format Bitrate Download Status Encode time
VP9 720P 812 kbps Completed 05:46, 26 October 2020 1 h 23 min 45 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 380 kbps Completed 01:30, 23 April 2022 5 h 0 min 14 s
Streaming 480p (VP9) Not ready Unknown status
VP9 360P 235 kbps Completed 04:53, 26 October 2020 30 min 43 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 171 kbps Completed 06:26, 26 October 2020 2 h 3 min 33 s
Streaming 240p (VP9) 62 kbps Completed 12:10, 3 February 2024 4.0 s
WebM 360P 483 kbps Completed 05:33, 26 October 2020 1 h 10 min 35 s
Streaming 144p (MJPEG) 1,000 kbps Completed 05:52, 15 November 2023 1 min 34 s
Stereo (Opus) 105 kbps Completed 21:41, 11 November 2023 53 s
Stereo (MP3) 128 kbps Completed 22:04, 11 November 2023 1 min 7 s

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