Matchingpennies EEG experiment

Demonstrated features

Feature	This example
MEG processing	❌
EEG processing	✅
Maxwell filter	❌
Frequency filter	✅
Artifact regression	❌
SSP	❌
ICA	❌
Evoked contrasts	✅
Time-by-time decoding	✅
Time-generalization decoding	❌
CSP decoding	❌
Time-frequency analysis	❌
BEM surface creation	❌
Template MRI	❌

Dataset source

This dataset was acquired from https://osf.io/download/8rbfk?version=1

Configuration

Click to expand

Python

.

study_name = "eeg_matchingpennies"
bids_root = "~/mne_data/eeg_matchingpennies"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/eeg_matchingpennies"

subjects = ["05"]
task = "matchingpennies"
ch_types = ["eeg"]
interactive = False
reject = {"eeg": 150e-6}
conditions = ["raised-left", "raised-right"]
contrasts = [("raised-left", "raised-right")]
decode = True

interpolate_bads_grand_average = False