https://github.com/jajcayn/hopf_cfc_analysis
https://github.com/jajcayn/hopf_cfc_analysis
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/jajcayn/hopf_cfc_analysis
- Owner: jajcayn
- License: mit
- Created: 2022-04-19T09:02:08.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-06-07T09:30:08.000Z (about 3 years ago)
- Last Synced: 2025-01-08T04:53:45.865Z (5 months ago)
- Language: Jupyter Notebook
- Size: 11.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cross-frequency coupling in the brain
* A simple study using a network of Hopf oscillators*
## Implementation details
We use [`neurolib`](https://github.com/neurolib-dev/neurolib) for all our simulations. Our network is a network of Hopf oscillators. Single "unit" is a subnetwork with one slow and one fast Hopf, connected via multiplicative coupling. In a case of more than one "unit", **only** the slow ones are interconnected, using a diffusive coupling.
!! Note: network is not ready for more slow-fast "units". As of now, all connections are multiplicative
## Basic parameters
- `w`: oscillator frequency
- `a`: Hopf bifurcation parameters
### Approximate frequencies
| w | frequency [Hz] |
|------- |---------------- |
| 0.003 | 0.5 |
| 0.005 | 0.8 |
| 0.01 | 2 |
| 0.05 | 8 |
| 0.06 | 10 |
| 0.08 | 12 |
| 0.1 | 17 |
| 0.2 | 32 |
| 0.3 | 50 |