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SSVEP-BCI-Research

imported

software/ssvep-bci-research

High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bci · brain-computer-interface · csharp · eeg-signals · matlab · ssvep · t-test
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.

  • EEGamersbci · brain-computer-interface · ssvep

    A Unity-based gaming project featuring brain-controlled interaction through an reactive Brain-Computer Interface (BCI). Developed for the BR41N.io Hackathon at g.tec's Spring School 2023, the…

  • AugmentedBCIFrameworkbci · brain-computer-interface · eeg-signals

    The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

  • NeuralFlightbci · brain-computer-interface · eeg-signals

    Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.

  • aawedhabrain-computer-interface · ssvep

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

  • bci_toolboxbrain-computer-interface · ssvep

    Classification toolbox for ERP and SSVEP based BCI data

  • EEGNetbci · eeg-signals

    This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

sources
  1. api.github.com/repos/RandyDeng/SSVEP-BCI-Research
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2019-05-31, 11 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/9.json→ .entries["ssvep-bci-research"]

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