Hermann Haken, J. A. Scott Kelso and Heinz Bunz (1985), Biological Cybernetics 51(5):347–356.
Read in full on 2026-10-30 (NOTE-1424), from the publisher’s scan on Kelso’s lab page.
Key takeaways
- The phenomena modelled (§2, p. 348). Four features of Kelso’s experiments (1981a, 1984), summarized and not shown: only two stable phase relations; an abrupt switch from anti-phase to in-phase at a critical cycling frequency; only in-phase beyond it; and, when frequency is lowered again, no return to anti-phase. The transition frequency divided by each subject’s preferred frequency was constant across subjects (p. 347).
- The order-parameter equation (§2, pp. 349–351). φ̇ = −∂V/∂φ with V = −a cos φ − b cos 2φ, chosen as the simplest periodic, symmetric potential. Anti-phase is lost when |b| < |a|/4; b is tied to movement amplitude, which falls as frequency rises.
- The derivation (§3, pp. 351–353). Two self-sustained oscillators (a Van der Pol variant whose amplitude falls as 1/ω) with a coupling that must be nonlinear and must involve a time delay or time derivatives; Eq. (3.26) recovers the φ equation, with a critical amplitude. Noise is needed for a transition to start (Eqs. 3.28–3.29).
- What it does not report. Critical slowing and critical fluctuations are named as phenomena “that will also be analyzed” in future studies (p. 355). They were reported the next year, in Kelso, Scholz and Schöner (LIT-1851).
Standing in the record
Filed on 2026-10-03 at the owner’s request, in the coordination-dynamics
part of the agency batch, as the canonical citation for the HKB model:
Raja et al. (LIT-598) cite it for coupled oscillators measured by relative
phase. The record first read the model through Kelso 2021 (LIT-601), which
extends it; the original was reached on 2026-10-30. Kelso’s book
Dynamic Patterns (LIT-578) is the book-length treatment. The first-hand
data on fluctuations and on intentional switching are in two Physics
Letters A papers filed the same day (LIT-1851 and LIT-1873). It
bears on THEORY-069. No instruction for machine-learning practice.