Encoding and Decoding Language in the Brain with Language Models
European Chapter of the Association for Computational Linguistics (EACL)
| Date: March 29, 2026 | Venue: EACL 2026, Rabat, Morocco | Conference Website |
This tutorial explores brain-language model alignment, covering encoding models, scaling laws, multilingual brain processing, fine-tuning approaches, and semantic reconstruction from neural data using computational frameworks from the emerging NeuroAI field.
Instructors
Anuja Negi
PhD candidate, TU Berlin
Mathis Lamarre
PhD candidate, TU Berlin
Dr. Christine Tseng
Postdoc, TU Berlin
Dr. Subba Reddy Oota
Research Scientist, ADIA Lab
Schedule
| Time | Topic | Speaker |
|---|---|---|
| 9:00–9:45 | Introduction to Brain Encoding and Decoding | Christine Tseng |
| 9:45–10:30 | Representations from LLMs for brain encoding models | Mathis Lamarre |
| 11:00–11:40 | Scaling laws and Fine-tuning for language models with brain data | Anuja Negi |
| 11:40–12:20 | Linguistic Brain Decoding | Subba Reddy Oota |
Learning Objectives
- Understand fundamental concepts of brain-AI alignment and encoding models
- Master techniques for brain-informed model fine-tuning
- Discover practical applications and future research directions in NeuroAI
Target Audience
AI/ML researchers, neuroscientists, NLP practitioners, cognitive scientists, and PhD students with basic deep learning knowledge and familiarity with transformer models.