Conversational EEG/MEG/sEEG/ECoG/fNIRS analysis with MNE-Python via the Model Context Protocol (Claude Code / opencode): persistent session, 32 tools + 2 skills, figure capture, run_code escape hatch.
Skill Claude CodeCodex
Rare / advanced neurophysiology analyses on EEG/MEG/iEEG/fNIRS via MNE — a hub for the less-standard methods that mostly run through mneruncode with an EXTERNAL, OPTIONAL library: EEG microstates (pycrostates), complexity/entropy (antropy / neurokit2), graph & network metrics (networkx / bctpy), aperiodic 1/f…
Skill Claude CodeCodex
Analyze human neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS) with MNE-Python through the MNE MCP server: load recordings, preprocess (filter, notch, re-reference, montage, bad channels), run ICA artifact removal, epoch around events, average ERP/ERF, compute time-frequency, plot and interpret every step, and reach…
Skill Claude CodeCodex
Artifact correction of EEG/MEG/iEEG via MNE — ICA (fastica/infomax/picard), SSP projections, autoreject, and regression-based EOG removal — to remove ocular (blink/saccade), cardiac (ECG), muscle, and line-noise contamination while preserving neural signal — run SKEPTICALLY: grill the artifact inventory and…
Skill Claude CodeCodex
Functional connectivity of EEG/MEG/iEEG via MNE — spectral connectivity (coherence, imaginary coherence, PLV, PLI, wPLI), time-resolved connectivity, phase-amplitude / cross-frequency coupling (PAC), and Granger causality, in sensor or source space — run SKEPTICALLY: grill the design and field-spread assumptions…
Skill Claude CodeCodex
Decoding / MVPA & BCI analysis of EEG/MEG/iEEG via MNE — time-resolved decoding (a classifier per time point), temporal generalization (train-time × test-time), CSP for oscillatory BCI, representational similarity analysis (RSA), and encoding/receptive-field models (mTRF) — run SKEPTICALLY: grill the design and the…
Skill Claude CodeCodex
ERP / ERF (evoked-response) analysis of EEG/MEG/iEEG via MNE — event extraction, epoching with baseline + peak-to-peak rejection, per-condition averaging, difference waves, peak vs mean amplitude, component latency (jackknife for groups), GFP, and condition contrasts — run SKEPTICALLY: grill the design and component…
Skill Claude CodeCodex
Make MNE-Python MCP analysis robust by preventing common neurophysiology-pipeline failures before they happen and diagnosing them when they do. Use when an EEG/MEG/iEEG analysis should run defensively: avoiding unit mistakes (volts vs microvolts), montage/position errors, ICA non-convergence, time-frequency…
Skill Claude CodeCodex
Skeptical methodology reviewer for EEG/MEG/sEEG/ECoG/fNIRS analyses run via MNE. Audits the STATISTICAL and SCIENTIFIC validity of a planned or completed analysis — assumptions tested vs asserted, multiple-comparison scope and independence, circular analysis / double-dipping / ROI selection bias, compositional-data…
Skill Claude CodeCodex
Preprocessing & data-quality cleanup of EEG/MEG/iEEG via MNE — filtering (high-pass/low-pass/ bandpass, FIR vs IIR, transition bandwidth), notch/line-noise removal, resampling, re-referencing (average/REST/linked-mastoid/bipolar), montage setting, bad-channel detection + spline interpolation, cropping and segment…
Skill Claude CodeCodex
Source localization of EEG/MEG via MNE — noise covariance (from baseline / empty-room), forward modeling (BEM; template fsaverage vs individual MRI), minimum-norm inverse (MNE/dSPM/sLORETA/ eLORETA), beamformers (LCMV/DICS), sparse/mixed-norm, and source-space statistics — run SKEPTICALLY: grill the head model…
Skill Claude CodeCodex
Spectral / power-spectral-density analysis of EEG/MEG/iEEG via MNE — Welch and multitaper PSD, absolute and relative band power (delta/theta/alpha/beta/gamma), spectral slope, and 1/f aperiodic separation (specparam / FOOOF) — run SKEPTICALLY: grill the design and assumptions before computing, execute with…
Skill Claude CodeCodex
Statistical inference for EEG/MEG/iEEG via MNE — the CROSS-CUTTING statistics skill that operates on the outputs of the other analysis skills (evoked, TFR, connectivity, source). Mass-univariate testing, cluster-based permutation (1-sample and independent), threshold-free cluster enhancement (TFCE), FDR…
Skill Claude CodeCodex
Time-frequency analysis of EEG/MEG/iEEG via MNE — Morlet wavelets, multitaper and Stockwell transforms, event-related spectral perturbation (ERSP) power and inter-trial coherence (ITC), evoked vs induced (total) power, baseline normalization (logratio / zscore / percent), and the ncycles time–frequency resolution…
Skill Claude CodeCodex
Turn completed, critic-PASSED MNE analyses into a publication-ready write-up — Methods and Results (and optionally Abstract/Introduction/Discussion) in APA 7 — modeled on the ARS academic-paper workflow but specialised for EEG/MEG/iEEG. It reads the project's archived artifacts (preprocessing parameters and equivalent…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: