Evidence map›Paper›PMID 42899235›Full record

ReviewNeuroscience of consciousness2026

Strange attractors: purpose, synchronicity, flow, and the neurodynamics of meaning.

Steven Kotler, Michael Mannino, Karl Friston, Scott Kelso

Abstract readReview
In one paragraph

Review in Neuroscience of consciousness, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Steven KotlerFlow Research Collective, United States.
Michael ManninoFlow Research Collective, United States.ORCID https://orcid.org/0009-0008-6312-5632
Karl FristonUniversity College London, London, Gower Street, London, WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-7984-8909
Scott KelsoCenter for Complex Systems and Brain Sciences, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a neurodynamic framework for meaningful experience, grounded in the recursive alignment of brain dynamics across time. We argue that the meaningful experiences known as "purpose", "synchronicity", and "flow" are not distinct phenomena, but temporal expressions of the same underlying process: metastable coherence in the brain's attractor landscape. Synchronicity marks transient realignments across representational levels; flow reflects the low-entropy navigation of emergent structures; and purpose encodes long-term integration into causal agency of a self-model. Drawing on active inference, dynamical systems theory, and recent work on predictive processing and memory consolidation, we formalize these states as trajectories through phase-space-differentiated by temporal depth, stability, and precision-weighting. We offer empirical predictions for each regime, linking neural signatures such as sharp-wave ripples, P300b activity, and network coherence to experiential markers of meaning. We also propose a developmental interpretation informed by Robert Kegan's subject-object theory, framing purpose as an evolving attractor shaped through recursive narrative and identity updating. This model suggests that meaning is not only symbolic or semantic, but dynamic, embodied, and experimentally testable: a measurable function of the brain's capacity to coordinate across nested timescales.

Indexed as

active inferenceconsciousnesscoordination dynamicsflowmetastabilitypredictive processing

Identifiers

PMID42899235
PMCPMC13679752

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.