openmedical/registry
← registry

neural-signals-101

imported

software/neural-signals-101

Beginner tutorial: ML & signal processing on neural signals (EEG) in Python — raw recordings to honest evaluation, in runnable notebooks. MIT.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/ChiShengChen/neural-signals-101
Documentation
unknown
Tags
bci · brain-computer-interface · deep-learning · eeg · machine-learning · mne-python · neuroscience · reproducibility
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • mne-rsaeeg · mne-python · neuroscience

    Representational Similarity Analysis on MEG and EEG data

  • mne-denoisebci · brain-computer-interface · eeg · neuroscience

    mne-denoise provides narrow-band artefact removal tailored to MNE-Python workflows. It wraps harmonic regression techniques to suppress power-line noise and other oscillatory contaminants while…

  • mne-rtbci · brain-computer-interface · eeg · neuroscience

    Real-time M/EEG signal processing

  • moabbbci · brain-computer-interface · eeg · neuroscience

    Mother of All BCI Benchmarks

  • esineteeg · mne-python

    EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

  • rteegeeg · mne-python

    [DEPRECATED: use MNE-Python] Python module to stream and analyze EEG data in real-time

sources
  1. api.github.com/repos/ChiShengChen/neural-signals-101
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-30, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/31.json→ .entries["neural-signals-101"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.