Builds on the ideas introduced by teammates in this Science Robotics perspective piece:

www.science.org/doi/10.1126/...

How so?

#neuroskyence #hyperscanning

Pre-print here: arxiv.org/pdf/2509.10650

Conventional hyperscanning metrics capture synchrony but miss network reconfiguration, limiting mechanistic insight. Our approach opens that door.

Full toolkit coming end of this year.

Meet the committee here: www.philandneuro.com/steering-com...

This year at @ispsm.bsky.social, all three of us will be presenting!

I’m in the same block as David talking about hyperscanning, and Danielle will be closing a symposium on realism in neuro.

A great preview of what is to come!

As someone who is already living their Monday morning: my head is slightly hurting at the mere thought of allocating this much analog patience space or so.

Building on great work such as @konlehmann.bsky.social's Active Inference Approach to Second-Person Neuroscience!

bsky.app/profile/konl...

@markthornton.bsky.social would you mind adding me? Thanks!

By embedding inter-brain networks in a geometric manifold, co-regulation is pinpointed at a granularity which IBS metrics smooth away.

Scaling from infant-caregiver to therapeutic alliance in interpersonal-psychiatry, we turn the dyad into the most meaningful unit of analysis.

We treat affect as the expected free energy of self-relevant prediction errors, with a temporal aim that tiles past and future into a unified generative model.

Rupture --> repair --> reattunement appear as phase transitions and the FRc entropy acts as a surprisal gauge of them.

Hats off for the lineup and orga. to the Chair of the Organising Commitee @okaydaniellle.bsky.social from @washu.bsky.social!