electroCUDA
Robust pelectrophysiology tools with GPU acceleration
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Cite As
Kevin Tan (2026). electroCUDA (https://github.com/kevmtan/electroCUDA), GitHub. Retrieved .
Acknowledgements
Inspired by: EEGLAB, iELVis, vlfeat/vlfeat, vlfeat/matconvnet, cbrewer2, gramm data visualization toolbox
General Information
- Version 0.0.200 (190 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with R2020a and later releases
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 0.0.200 | see github |
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| 0.0.102 | Many new CUDA implementations: continuous wavelet transform (single & double), CWT scale spectrum (single & double), robust detrending, zero-phase filtering, VLFeat convolutional neural nets & computer vision models, AMICA on GPU (semi-functional) |
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| 0.0.101 | GPU optimizations for CWT & ec_abs2norm... added validation functions 'isany' & 'istext' |
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| 0.0.1 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
