sPyEEG
Citation
Pierre Hieu Guilleminot, Mikolaj Kegler, & Enrico Varano. (2021). sPyEEG (0.0.1). Zenodo. https://doi.org/10.5281/zenodo.7006933
DOI:
Version: 0.2.2
Package for modelling s/M/EEG responses to stimuli. In other words, for mapping sensory or cognitive features, through python (sPyeech) to EEG (sPyEEG)... and the other way around!
Not mind-reading for espionage purposes ;). (Definitely not that)
Setup
Requirements
Package builds on top on MNE and relies on a similar set of dependencies and 3rd party packages listed in requirements.txt. Normally, installing via pip will take care of dependencies but in case, you can check that there won't be problems.
Installation
For a standard installation (but this will require to be installed if you need to install another version of the library):
pip install spyeeg
Tested on:
- macOS Big Sur v11.1
- Ubuntu 18.04.5 LTS
- Windows 10 22H2
Modules (sketch)
- models - for all your modelling needs
- TRF: Temporal Response Function a.k.a Ridge regression a.k.a. fancy linear regression, optimized for speed
- iRRR: integrative reduced rank regression a.k.a fancier linear regression
- _methods: useful methods used by several model classes
- tbc
Contributors:
- Pierre Guilleminot (pierre.hieu.guilleminot@gmail.com)
- Mikolaj Kegler (mak616@ic.ac.uk)
- Michael Thornton (m.thornton20@imperial.ac.uk)
Last updated: 15th March 2025
1 maintainer
Metadata
1 maintainer
Release files for spyeeg 0.2.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| spyeeg-0.2.7.tar.gz | 30.5 kB | Without provenance | Details for spyeeg-0.2.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| spyeeg-0.2.7-py3-none-any.whl | Python 3 | none | any | Details for spyeeg-0.2.7-py3-none-any.whl |
Total release size: 62.9 kB
Release files / spyeeg-0.2.7.tar.gz
| Download URL | spyeeg-0.2.7.tar.gz |
|---|---|
| Size | 30.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
45dd4cfb4779485b555770d38488492e9bccf61e55002be2275345f83c79fa55
|
|
BLAKE2b-256 checksum How to use checksums |
d553fd7adf487f307fd0f23110e7bcc9d391e554b093398e2c6f3672df590c3c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
Release files / spyeeg-0.2.7-py3-none-any.whl
| Download URL | spyeeg-0.2.7-py3-none-any.whl |
|---|---|
| Size | 32.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a693ba1bbdcb8f3c17201f08819fd0eb1a25250931435c937931c48575704386
|
|
BLAKE2b-256 checksum How to use checksums |
73483955612fe45ef7028d6c79b63fe575e72c14a697195c7207f5b61f16bdb8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
Security for spyeeg 0.2.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
