File:Nov, 23 (afternoon) - Random Graphs in the Brain-0YJnxms2vCo.webm
Nov,_23_(afternoon)_-_Random_Graphs_in_the_Brain-0YJnxms2vCo.webm (WebM audio/video file, VP9/Opus, length 1 h 36 min 3 s, 640 × 360 pixels, 236 kbps overall, file size: 161.93 MB)
Captions
Summary
[edit]DescriptionNov, 23 (afternoon) - Random Graphs in the Brain-0YJnxms2vCo.webm |
English: The event was an interdisciplinary workshop for scientists and students in experimental neurophysiology, neuroanatomy, functional imaging, probability, statistics and computer science to discuss the mathematical, statistical and computational challenges that need to be addressed in order to achieve a deeper understanding of the brain. |
Date | |
Source | YouTube: Nov, 23 (afternoon) - Random Graphs in the Brain – View/save archived versions on archive.org and archive.today |
Author | NeuroMat |
Licensing
[edit]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 |
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
This file, which was originally posted to YouTube: Nov, 23 (afternoon) - Random Graphs in the Brain(archive), was reviewed on 14 November 2020 by the automatic software YouTubeReviewBot, which confirmed that this video was available there under the stated Creative Commons license on that date. This file should not be deleted if the license has changed in the meantime. The Creative Commons license is irrevocable.
The bot only checks for the license, human review is still required to check if the video is a derivative work, has freedom of panorama related issues and other copyright problems that might be present in the video. Visit licensing for more information. If you are a license reviewer, you can review this file by manually appending | |
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 02:21, 27 October 2020 | 1 h 36 min 3 s, 640 × 360 (161.93 MB) | Carybe (talk | contribs) | =={{int:filedesc}}== {{Information |description={{pt|1=The event was an interdisciplinary workshop for scientists and students in experimental neurophysiology, neuroanatomy, functional imaging, probability, statistics and computer science to discuss the mathematical, statistical and computational challenges that need to be addressed in order to achieve a deeper understanding of the brain.}} |date=2016-01-04 |source={{From YouTube|1=0YJnxms2vCo|2=Nov, 23 (afternoon) - Random Graphs in the B... |
You cannot overwrite this file.
File usage on Commons
The following page uses this file:
Transcode status
Update transcode statusMetadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Short title | Nov, 23 (afternoon) - Random Graphs in the Brain |
---|---|
Author | NeuroMat |
User comments | The event was an interdisciplinary workshop for scientists and students in experimental neurophysiology, neuroanatomy, functional imaging, probability, statistics and computer science to discuss the mathematical, statistical and computational challenges that need to be addressed in order to achieve a deeper understanding of the brain. |
Software used |