Encoding & Decoding

Build ML models to encode brain responses or decode brain activity from neural signals across modalities. Select your task, device, and direction below to generate the code.

Note

Some datasets referenced on this page are still being prepared for public release. For runnable code now, see the quickstart.

🎯 Task 🗣️ Language 🖼️ Image 🎬 Video 🏷️ Classification 📡 Device 🧲 MEG ⚡ EEG 🧠 fMRI 🔬 iEEG 💪 EMG

Setup: run once in your terminal

Step 1: Load study data & configure extractors

Optional: fit a ridge regression with sklearn

🎯 Direction 🔍 Decoding (Brain → Stimulus) 📝 Encoding (Stimulus → Brain)

Step 2: Machine learning pipeline

← Caching & Cluster Glossary →