RSam Podcast

Geometric Hyperscanning, Interbrain Networks and Social Cognition (w/ Nicolás Hinrichs)

Sep 20, 2025
Dr. Nicolás Hinrichs is a researcher specializing in computational and social neuroscience at prestigious institutes. He delves into geometric hyperscanning and how interbrain networks influence social cognition. The conversation highlights the transition from conventional methods to geometry-driven models, the interplay between relational meaning and process philosophy, and how active inference can enhance dyadic interactions. Hinrichs also discusses ethical considerations in neuroscience, emphasizing the importance of responsible mathematical practices for mental health interventions.
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INSIGHT

Edge-Centric Geometry Reveals Routing

  • Geometric machine learning shifts hyperscanning from node metrics to edge-centric topology.
  • Curvature reveals whether edges bridge modules or live in tight clusters, enabling information-routing analysis.
ANECDOTE

Learning Geometry Through Collaboration

  • Nicolás describes learning geometry while collaborating with Melanie Weber and being 'positively overwhelmed'.
  • He used toy models and expert guidance to make complex curvature concepts accessible.
ADVICE

Learn Geometry By Testing Data

  • Don't wait to fully master the math before testing new tools on data.
  • Use toy examples and iterative experiments to understand geometric concepts in practice.
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