What makes a good conversation? fMRI-hyperscanning shows friends explore and strangers converge.
Nature Communications, 2024. DOI
Coupled Minds Lab
Department of Psychological and Brain Sciences | Texas A&M University
We are recruiting for Fall 2026 →
Research
How do minds wander in new directions in conversation? How do we negotiate meaning and compromise when our paths diverge? And what happens when one of those minds belongs to a machine?
We study how people explore ideas, align opinions, and resolve conflict through conversation. Our work integrates fMRI hyperscanning, natural language processing, and computational modeling to understand how human (or artifical) minds become coupled in naturalistic interactions.
People
Sebastian Speer, PhD
Principal Investigator
Sebastian currently explores how two minds form a social connection, build consensus and resolve conflict during naturalistic social interactions. Previously, at the Netherlands Institute for Neuroscience, he investigated moral conflict resolution through reinforcement learning models, shedding light on how we learn to navigate ethical dilemmas. He earned his PhD in Neuroeconomics at the Erasmus University in Rotterdam, where he combined neuroimaging, machine learning, and behavioral experiments to uncover the neurocognitive mechanisms driving (dis)honest decision-making.
Under construction! We're building our team of students, postdocs, and collaborators.
Selected Publications
Finding Agreement: fMRI hyperscanning reveals that mental state space exploration facilitates opinion alignment
2nd round revision JPSP, 2025. DOI
From Words to Bonds: The Science of Meaningful Conversations.
In A. Fishbach, N. Liberman & F. Kentaro (Eds.), The Psychological Quest of Meaning., 2025. DOI
A multivariate brain signature for reward.
Neuroimage, 2023. DOI
Cognitive Control and Dishonesty.
Trends in Cognitive Sciences, 2022. DOI
Cognitive control increases honesty in cheaters but cheating in those who are honest.
Proceedings of the National Academy of Sciences, 2020. DOI
Tools & Resources
Our lab develops and shares open tools to accelerate social neuroscience research, especially for analyzing naturalistic, multi-brain data. These resources are continually evolving as we expand our methods for coupled-mind and conversation-based studies.
Hypline
A Python toolbox to streamline preprocessing and alignment of hyperscanning data across participants. It provides flexible pipelines for synchronizing multi-subject fMRI, handling timing offsets, and preparing data for inter-brain analyses. Hypline will continue to expand with additional modules for dual-scanner and conversation-based datasets.
fMRI Decoding Tutorial
A hands-on Google Colab tutorial introducing decoding analyses in fMRI. Learn how to implement pattern-based prediction, visualize representational geometry, and interpret model performance using real neuroimaging data.
EEG Decoding Workshop
An interactive tutorial for EEG analysis demonstrating preprocessing and time-frequency decoding in Python. Walk through each step — from raw data to power spectra — to understand the temporal dynamics of neural representations in cognitive tasks.
Join
We are recruiting graduate students and undergraduate researchers excited about social neuroscience, naturalistic conversation, and computational methods. Please read our recent publications and come prepared to discuss how you'd build on them.
All applications must be submitted through the Texas A&M application portal .
Deadlines are typically in December — start early, and reach out if you’re curious about fit. We especially welcome applicants interested in neural coupling, conversational dynamics, and human–AI interaction.
