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bci.js

imported

software/bci

:bar_chart: EEG signal processing and machine learning in JavaScript

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

bci.js project image
GitHub preview card for pwstegman/bci.js. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
bci.js.org
Documentation
unknown
Tags
bci · eeg · javascript · machine-learning · signal-processing
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.

  • BciPybci · eeg · signal-processing

    Python Brain-Computer Interface Software

  • brainflowbci · eeg · signal-processing

    BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

  • mne-rtbci · eeg · signal-processing

    Real-time M/EEG signal processing

  • neurosyncbci · eeg · signal-processing

    macOS instrument for a single-channel dry-EEG headset. Computes the Pope engagement index β/(α+θ) live over Bluetooth — and refuses to show a number it can't defend.

  • axonos-signal-pipelinebci · signal-processing

    Deterministic, vector-pinned BCI signal pipeline for AxonOS: raw acquisition frame -> typed, consent-bound decision. no_std, zero-deps, unsafe-free, fixed-point. Engineering demonstrator, not a…

  • analyse_OPMEGeeg · signal-processing

    Nic & Rob's lair of scripts to analyse OPM data, using the Fieldtrip toolbox

sources
  1. api.github.com/repos/pwstegman/bci.js
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-06-07, 161 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/1.json→ .entries["bci"]

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