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EEGResearchHub

imported

software/eegresearchhub

A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.

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

EEGResearchHub project image
GitHub preview card for Baizhige/EEGResearchHub. 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
unknown
Documentation
unknown
Tags
bci · data-augmentation · deep-learning · eeg · motor-imagery
Regulatory
unknown
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.

  • AugmentBrainbci · data-augmentation · eeg · motor-imagery

    In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…

  • MIBCI-QCNNsbci · eeg · motor-imagery

    This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.

  • aawedhaeeg · motor-imagery

    Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking

  • Barlow_Twins_EEGeeg · motor-imagery

    [IEEE Access] A Novel Negative-sample-free Contrastive Self-Supervised Learning for EEG-Based Motor Imagery Classification

  • channel_selectioneeg · motor-imagery

    Some studies regarding the selection of optimal channels in a BCI based on motor imagery

  • EEG-ATCNeteeg · motor-imagery

    Attention temporal convolutional network for EEG-based motor imagery classification

sources
  1. api.github.com/repos/Baizhige/EEGResearchHub
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-18, 29 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/20.json→ .entries["eegresearchhub"]

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