Emerging interactions in humans and machines: from Social Physiology to Social Neuro-AI
Talkat Understanding Higher-Level Intelligence from AI, Psychology, and Neuroscience Perspectives · 2024-06-24..06-28·
summary
Claim that inter-brain synchrony reflects more than coincidental similarity and can causally reshape social behavior, supported by multi-brain hyperscanning EEG in Faraday cages, gamma-band effects explained by a connectome-based dynamical model, and mouse optogenetic work that induces synchrony and changes interaction. Uses simulated connectomes with virtual EEG (Maxwell equations), dynamical systems and neural ODEs, plus a human-coupled socially coupled agents finger‑wiggle rig that alters cooperation ratings, and grid‑world multi-agent learning showing social pressure yields higher‑level skills.
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chapters (11)
- 0:00Introduction
- 1:48Social physiology basics
- 6:34Social dynamics in interaction
- 8:47Interbrain synchronization
- 11:50Computational modeling
- 14:42Multiscale brain modeling
- 18:54Reductionism vs dynamics
- 24:33Human-machine interaction
- 29:28Cognition and evolution
- 32:28AI architecture inspiration
- 37:46Conclusion and open questions
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