A low-dimensional hypothesis for cognition and the human brain
Year: 2026
Type: preprint
Abstract: The human brain is among the most complex biological systems known, yet a growing body of evidence suggests that its activity consistently exhibits low-dimensional organisation. Across behavioural states, recording modalities, spatial scales, and analytical approaches, large-scale neural dynamics can often be described by a surprisingly limited number of latent processes expressed through coordinated large-scale spatiotemporal patterns. This observation presents a fundamental paradox: how can a system capable of remarkably flexible cognition operate within such constrained dynamical structure? Here, we propose a low-dimensional hypothesis for cognition. We argue that cognition depends on the emergence of low-dimensional latent processes from complex neural activity, their reconfiguration according to internal and external demands, and the interactions among them. Within this framework, cognition arises not from unconstrained high-dimensional neural activity, but from the efficient organisation of neural dynamics into latent processes and their interactions. We review converging evidence for low-dimensional organisation across brain activity and cognition and outline a set of falsifiable predictions concerning cognitive demands, learning, development, aging, neurological and psychiatric disorders, pharmacological interventions, and social interaction. Finally, we consider whether this principle extends across spatial scales and whether analogous organisation emerges in artificial neural networks. Altogether, we propose low-dimensional organisation as a candidate principle for understanding the neural substrate of cognition.
Source: PsyArXiv (OSF Preprints)
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204845449