[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
Sent with Proton Mail secure email.
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
> _______________________________________________
> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu or visit https://sccn.ucsd.edu/mailman/listinfo/eeglablist .
More information about the eeglablist
mailing list