Field note · Neurodynamics

Live field · pattern
Rotating spiral
a phase singularity — wavefronts winding around a still core
Wave phase
−π0+π
Field coherence
1.00 Locked

Illustrative phase field — colored by wave phase on a cyclic map. Coherence holds near 1.00 while a pattern is stable, then collapses as the field breaks through an instability into the next. This is a hand-built analog of the dynamics, not the connectome model itself.

The interesting part isn't the state. It's the transition.

Model spontaneous activity on the human connectome and it doesn't settle into stable maps. It produces metastable three-dimensional wave patterns — traveling waves, rotating spirals, sources and sinks — that form, hold for a moment, then break through nonlinear instability into the next.1 The model's patterns line up with real recordings across multiple neuroimaging modalities.

So the signal isn't where the brain settles. It's how it moves between configurations — resting-state dynamics that transition rather than rest,2 and, more recently, large-scale cortical networks organized into structured cycles rather than static maps.3

The open question

What actually drives a network from one metastable pattern to the next — and what does that switching do, functionally? The mechanism is still unclaimed.

That's the question I'm sitting with next.

Sources

01
Metastable brain waves
Roberts, Gollo, Abeysuriya et al. · Nature Communications · 2019
Metastable 3D wave patterns on the connectome; matches spontaneous activity across imaging modalities.
02
Metastable resting-state dynamics as transitions between functional states
beim Graben et al. · Frontiers in Computational Neuroscience · 2019
Resting activity read as movement between functional states, not rest in one.
03
Large-scale cortical networks organized in structured cycles
van Es, Higgins et al. · Nature Neuroscience · Aug 2025
Pushes the picture from static maps toward cyclic, sequenced network dynamics.