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MNE-CPP

  • Lorenz Esch (Creator)
  • Christoph Dinh (Creator)
  • Gabriel Motta (Creator)
  • Juan Garcia-Prieto (Creator)
  • Ruben Dörfel (Creator)
  • Lars Debor (Creator)
  • Daniel Knobl (Creator)
  • Viktor Klüber (Creator)
  • Martin Henfling (Creator)
  • Ricky Tjen (Creator)
  • Jana Kiesel (Creator)
  • Limin Sun (Creator)
  • Florian Schlembach (Creator)
  • Daniel Strohmeier (Creator)
  • Simon Heinke (Creator)
  • Andrey Parfenov (Creator)
  • Tim Kunze (Creator)
  • Felix Arndt (Creator)
  • Wayne Mead (Creator)
  • Louis Eichhorst (Creator)
  • Felix Griesau (Creator)
  • Johannes Vorwerk (Creator)
  • Chiran Doshi (Creator)
  • Johannes Behrens (Creator)
  • Christof Pieloth (Creator)
  • Alex Rockhill (Creator)
  • Robert Dicamillo (Creator)
  • Sachdeva Sugandha (Creator)
  • Erik Hornberger (Creator)
  • Faris Yahya (Creator)
  • Franco Polo (Creator)
  • Marco Klamke (Creator)
  • Julius Lerm (Creator)
  • Benjamin Kay (Creator)
  • Mainak Jas (Creator)
  • Petros Simidyan (Creator)
  • Eric Larson (Creator)
  • Daniel Baumgarten (Creator)
  • Jens Haueisen (Creator)
  • Yoshio Okada (Creator)
  • John C. Mosher (Valvoja)
  • Matti Hämäläinen (Valvoja)

Tietoaineisto

Description

MNE-CPP is an open-source, cross-platform C++ framework for real-time and offline processing of MEG, EEG, and related neurophysiological data. Developed within the MNE ecosystem, it provides a modular and high-performance software platform for electrophysiological data acquisition, raw-data inspection, sensor- and source-level analysis, and interactive 3D visualization.

The framework integrates reusable C++ libraries with user-facing applications, including MNE Scan for real-time acquisition and processing, MNE Analyze for sensor- and source-level analysis of recorded data, MNE Browse for interactive inspection of FIFF raw data, and MNE Inspect for 3D visualization of anatomical and functional neuroimaging data. Complementary command-line tools support forward and inverse modeling, BEM processing, anonymization, conversion, and real-time streaming workflows.

Designed for both scientific research and practical deployment, MNE-CPP serves as a foundation for custom neuroscience software as well as complete user-facing neurotechnology applications. The project is community-driven, BSD-3-Clause licensed, and maintained as part of the public mne-tools open-source ecosystem.
Koska saatavilla10 huhtik. 2026
JulkaisijaZenodo

Dataset Licences

  • BSD 3-Clause

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