Articles

Core Concepts

Essential concepts and basic workflows

Constructing Datasets for MVPA Analysis

Cross-Validation Strategies in rMVPA

Feature Selection in rMVPA

Standard MVPA Analysis

Classification and regression analyses using searchlight and regional approaches

Searchlight Analysis

Advanced Regional MVPA Analysis in rMVPA

Command-Line MVPA Interfaces

MVPA Searchlight Tutorial

MVPA Regional Analysis Tutorial

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

Advanced RSA Methods: Feature-Based and Vector-Based Approaches

Feature-RSA Across States: Domain Adaptation from Encoding to Recall

Feature-RSA Connectivity: ROI-to-ROI Generalization and Offset Control

Feature-RSA Advanced Workflows

Representation Mapping (REMAP) Models

Models for learning transformations between perception and memory representations

Naive Cross-Decoding

ERA-RSA: Cross-Decoding Between Encoding and Retrieval

REMAP‑RRR — Domain‑Adaptive Cross‑Decoding

Representational Mapping (ReNA-Map): repmap_model

Representational Mediation (ReNA-RM): repmed_model

Representational Connectivity (ReNA-RC): repnet_model

Extensibility

Customizing and extending rMVPA functionality

Running Custom Analyses with rMVPA

Building Plugin Analyses for rMVPA