ArticleScientific reports2019
The emergence of synchrony in networks of mutually inferring neurons.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Self-organization and circular causation as synergetic foundations of social interaction: a multilayer network perspective.Frontiers in network physiology · 2026Article
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- Thoughtseeds: A Hierarchical and Agentic Framework for Investigating Thought Dynamics in Meditative States.Entropy (Basel, Switzerland) · 2025Article
- As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference.Entropy (Basel, Switzerland) · 2025Article
- Body as First Teacher: The Role of Rhythmic Visceral Dynamics in Early Cognitive Development.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Article
- Lattice physics approaches for neural networks.iScience · 2024Review
- Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics.PLoS computational biology · 2024Article
- Cerebellar state estimation enables resilient coupling across behavioural domains.Scientific reports · 2024Article
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- Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity.PloS one · 2023Article
- The dual action of glioma-derived exosomes on neuronal activity: synchronization and disruption of synchrony.Cell death & disease · 2022Article
- Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication.Frontiers in neurorobotics · 2022Article
- Neural Synchrony and Network Dynamics in Social Interaction: A Hyper-Brain Cell Assembly Hypothesis.Frontiers in human neuroscience · 2022Article
- Bayesian mechanics for stationary processes.Proceedings. Mathematical, physical, and engineering sciences · 2021Article
- Affect-Logic, Embodiment, Synergetics, and the Free Energy Principle: New Approaches to the Understanding and Treatment of Schizophrenia.Entropy (Basel, Switzerland) · 2021Article
- Contextual perception under active inference.Scientific reports · 2021Article
- Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Markov blankets in the brain.Neuroscience and biobehavioral reviews · 2021Review
- A Variational Approach to Scripts.Frontiers in psychology · 2021Article
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4 authors.
Funding
Abstract
This paper considers the emergence of a generalised synchrony in ensembles of coupled self-organising systems, such as neurons. We start from the premise that any self-organising system complies with the free energy principle, in virtue of placing an upper bound on its entropy. Crucially, the free energy principle allows one to interpret biological systems as inferring the state of their environment or external milieu. An emergent property of this inference is synchronisation among an ensemble of systems that infer each other. Here, we investigate the implications of neuronal dynamics by simulating neuronal networks, where each neuron minimises its free energy. We cast the ensuing ensemble dynamics in terms of inference and show that cardinal behaviours of neuronal networks - both in vivo and in vitro - can be explained by this framework. In particular, we test the hypotheses that (i) generalised synchrony is an emergent property of free energy minimisation; thereby explaining synchronisation in the resting brain: (ii) desynchronisation is induced by exogenous input; thereby explaining event-related desynchronisation and (iii) structure learning emerges in response to causal structure in exogenous input; thereby explaining functional segregation in real neuronal systems.
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