Localising Shapes in Neuroimaging Data
11 mins 16 secs,
20.64 MB,
MP3
44100 Hz,
250.1 kbits/sec
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About this item
| Description: |
Expert, P (EPSRC Centre for Mathematics of Precision Healthcare, Imperial College)
Wednesday 19th April 2017 - 12:05 to 12:15 |
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| Created: | 2017-04-24 14:10 |
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| Collection: | Newton Gateway to Mathematics |
| Publisher: | Isaac Newton Institute |
| Copyright: | Expert, P |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
|
| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | In this presentation, I will briefly introduce persistent homology and its application to neuroimaging to characterise and differentiate mental states, as well as its advantages over traditional network analysis approaches. |
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Available Formats
| Format | Quality | Bitrate | Size | |||
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| MPEG-4 Video | 640x360 | 1.94 Mbits/sec | 164.14 MB | View | Download | |
| WebM | 640x360 | 540.08 kbits/sec | 44.63 MB | View | Download | |
| iPod Video | 480x270 | 521.8 kbits/sec | 43.06 MB | View | Download | |
| MP3 * | 44100 Hz | 250.1 kbits/sec | 20.64 MB | Listen | Download | |
| Auto | (Allows browser to choose a format it supports) | |||||