Articles
Get Started
Start here. One vignette, three small examples — searchlight classification, regional classification, RSA.
Core Concepts
Essential concepts and basic workflows
Standard MVPA Analysis
Classification and regression analyses using searchlight and regional approaches
Representational Similarity Analysis
RSA methods from basic to specialized approaches
- Representational Similarity Analysis (RSA) in rMVPA
- Contrast RSA with contrast_rsa_model
- Temporal Confounds in RSA
- Feature-Based RSA
- Vector-Based RSA
- Feature-RSA Advanced Workflows
- Feature-RSA Connectivity: ROI-to-ROI Generalization and Offset Control
- Model-Space Representational Connectivity
- Feature-RSA Across States: Domain Adaptation from Encoding to Recall
- Reproducing Kriegeskorte (2008) with rMVPA
Representation Mapping (REMAP) Models
Models for learning transformations between perception and memory representations
Extensibility
Customizing and extending rMVPA functionality