[Eeglablist] MNE-RT: an open-source real-time neurofeedback/BCI framework

Cedric Cannard ccannard at protonmail.com
Thu Jul 23 11:09:48 PDT 2026


Hi Payam,

This looks like a very interesting package. I hope to give a try over the next few weeks as I'll be working on a python neurofeedback experiemnt. 

Thank you,


Cedric


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On Sunday, July 19th, 2026 at 9:15 PM, payam sadeghi via eeglablist <eeglablist at sccn.ucsd.edu> wrote:

> Hi all,
> 
> I’d like to introduce MNE-RT (link <https://urldefense.com/v3/__https://github.com/mne-rt-org/mne-rt__;!!Mih3wA!D9cNeQ9Rktz8PwA54hWSS_5SHSQyv-nqUVEVNj9QpeoBig0cVIcwnAExdSrqTNYhCnbggtQYcV4KtxsTt3REj8nz4xlGRRA$ >),
> an open-source Python package for real-time M/EEG signal processing, built
> on top of MNE-Python and MNE-LSL. It covers the entire closed-loop pipeline
> in a single, researcher-friendly API, aimed at neurofeedback, BCI, and
> real-time clinical/basic-science monitoring.
> 
> What it does:
> 
>    - 21 real-time neural feature modalities in both sensor and source space
>    - Real-time single-trial decoding (CSP + any scikit-learn classifier)
>    - Adaptive feedback protocols: z-score, threshold, percentile,
>    staircase, operant/RL-based, sham, multi-band, and cross-session transfer
>    - Online artifact-correction methods: ASR, adaptive LMS, GEDAI, ORICA,
>    real-time Maxwell/SSS filtering for MEG
>    - Live visualization windows: Raw signal, NF feedback curves, epoch
>    overlays, scalp topographies, 3D brain activity, TFR heatmaps, …
>    - External feedback output via OSC (Max/MSP, SuperCollider) and LSL
>    outlets (PsychoPy, OpenViBE, BCI2000)
>    - BIDS-compatible session saving
>    - Full CLI
> 
> Use cases it’s built for: neurofeedback research, real-time
> BCI/motor-imagery decoding, and any closed-loop paradigm needing live
> feature extraction + adaptive feedback + artifact correction in one place.
> 
> Any feedback, issues, feature requests, or contributions, especially from
> anyone doing real-time work who can stress-test it against their own
> hardware/paradigms are welcome!
> 
> Thanks!
> Payam
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