Natural neural networks: structure, dynamics and computation
Duration: 33 mins 27 secs
Share this media item:
Embed this media item:
Embed this media item:
About this item
| Description: |
Chklovskii, M (Simons Foundation, New York University)
Thursday 14th July 2016 - 14:30 to 15:00 |
|---|
| Created: | 2016-07-20 10:23 |
|---|---|
| Collection: | Theoretical Foundations for Statistical Network Analysis |
| Publisher: | Isaac Newton Institute |
| Copyright: | Chklovskii, M |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
|
| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | The brain is a directed weighted graph with neurons as nodes and synapses as edges. The structure of the graph determines the dynamics of neural activity. At the same time, correlations in neural activity determine synaptic weights. The grand challenge of neuroscience is to construct a theory relating neural structure and dynamics to computation. I will present our progress towards this goal using an online matrix factorization framework. |
|---|---|
Available Formats
| Format | Quality | Bitrate | Size | |||
|---|---|---|---|---|---|---|
| MPEG-4 Video | 640x360 | 1.93 Mbits/sec | 486.61 MB | View | Download | |
| WebM | 640x360 | 505.76 kbits/sec | 123.97 MB | View | Download | |
| iPod Video | 480x270 | 522.07 kbits/sec | 127.91 MB | View | Download | |
| MP3 | 44100 Hz | 249.78 kbits/sec | 61.26 MB | Listen | Download | |
| Auto * | (Allows browser to choose a format it supports) | |||||