NeuroRA¶
A Python Toolbox of Representational Analysis from Multi-modal Neural Data¶
NeuroRA is an easy-to-use toolbox based on Python, which can do some works about RSA among nearly all kinds of neural data, including behavioral, EEG, MEG, fNIRS, sEEG, ECoG, fMRI and some other neuroelectrophysiological data. In addition, users can do Neural Pattern Similarity (NPS), Spatiotemporal Pattern Similarity (STPS), Inter-Subject Correlation (ISC), Classification-based EEG decoding and a novel cross-temporal RSA (RSA) on NeuroRA.
Author: Zitong Lu
Documentation of NeuroRA!¶
- Overview
- Download
- Calculate the Neural Pattern Similarity (NPS)
- Calculate the Inter-Subject Correlation (ISC)
- Calculate the Spatiotemporal Pattern Similarity (STPS)
- Calculate the RDM
- Calculate the Cross-Temporal RDM
- Representational Similarity Analysis (RSA)
- Cross-Temporal Representational Similarity Analysis (CTRSA)
- Conduct Classification-based EEG Decoding
- Statistical Analysis
- Save the Results as a NIfTI file (for fMRI)
- Visualization for Results
- Others