Articles

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Start here. Decode real Haxby data with held-out-run validation, inspect every error, and learn the object chain shared by regional and searchlight analyses.

Decode a held-out fMRI run with rMVPA

Core Concepts

Essential concepts and basic workflows

Constructing Datasets for MVPA Analysis

Cross-Validation Strategies in rMVPA

Feature Selection in rMVPA

Performance and Deployment

Choose Future process topologies, data transport, and native thread limits with reproducible correctness and performance evidence.

Choose a Safe Parallel Runtime for rMVPA

Voxelwise Encoding Models

Fit leakage-safe grouped encoding models with per-response tuning, scalable solvers, explicit storage contracts, and predictive band drop-out.

Fit a Blocked Voxelwise Banded-Ridge Encoding Model

Standard MVPA Analysis

Classification and regression analyses using searchlight and regional approaches

Searchlight Analysis

Advanced Regional MVPA Analysis in rMVPA

Reproducing Haxby (2001) classification with rMVPA

ITEM Trial-Wise Decoding

Pattern models: whole-brain fit, regional access

Confirming a frozen pattern model

Group patterns in shared target coordinates

Command-Line MVPA Interfaces

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

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