neural-flows
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brain-modelling-group
Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
**Describe the bug** Streamlines tracing using CNEM produce nonparallel streamlines for a perfect travelling wave **To Reproduce** Steps to reproduce the behavior: 1. Run `travelling_reflected_wave('u-a-hs-mb')` and then `travelling_reflected_wave('u-a-hs-ml')` 2. Streamlines...
1D singularity tracking is functional but not integrated into `main_core()`
CNEM writes binary files at every (time) iteration. This may increase execution times, in particular in server-class machines with HDDs. #### TODO: + suppress output. + benchmark with/without writing to...
`neural-flows` uses a type of matfile that allows for partial i/o operations. With current SSD w/r speeds it shouldn't be a problem. This choice was made to keep memory usage...
This decomposition may be useful for classification of patterns: Implementation is required for: - 3D structured - 2D structured and 2D unstructured
Currently there are three/four functions that generating random seeding locations. Main feature is the density of seeding locs. Needs to handle 2D/3D space and structured/unstructured domains.
- Decide on consistent naming convention - Split functions into high- & low-level plotting functions - Define interface for the two groups **High-level plotting functions:** - Interface: input: `params` |...
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Estimation, analysis and decomposition of brainwave spatiotemporal dynamics