1 مستودع
Awesome GitHub RepositoriesTopographical Sensor Layouts
Arranges per-sensor evoked response traces in a topographical layout matching sensor positions, with support for multiple conditions and interactive click-to-expand.
Distinct from Subplot Layouts: Distinct from Subplot Layouts: specifically arranges plots according to sensor spatial positions in a topographical layout, not generic grid or free-form subplot arrangements.
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Awesome Topographical Sensor Layouts GitHub Repositories
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- mne-tools/mne-python
mne-tools/mne-python
3,243عرض على GitHubMNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The
Ships topographical subplot layouts that arrange per-sensor traces according to their spatial positions on the scalp.
Pythonecogeegelectrocorticography
