Criticality in the brain: A synthesis of neurobiology, models and cognition
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Abstract (arXiv)
Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory framework focused upon any single scale will yield a comprehensive theory of brain activity and cognitive function. Modelling and analysis methods for neuroscience should aim to accommodate multiscale phenomena. Emerging research now suggests that multi-scale processes in the brain arise from so-called critical phenomena that occur very broadly in the natural world. Criticality arises in complex systems perched between order and disorder, and is marked by fluctuations that do not have any privileged spatial or temporal scale. We review the core nature of criticality, the evidence supporting its role in neural systems and its explanatory potential in brain health and disease.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jul 2017.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 0; 2024: 2; 2025: 2.
9 papers.
- 2024Intelligence at the Edge of Chaoscited by 13
- 2021Optimal input representation in neural systems at the edge of chaoscited by 2
- 2021Formalising the Use of the Activation Function in Neural Inferencecited by 1
- 2021Continual Developmental Neurosimulation Using Embodied Computational Agentscited by 1
- 2024Chaos-based reinforcement learning with TD3cited by 1
- 2022Turing's cascade instability supports the coordination of the mind, brain, and behaviorcited by 0
- 2022Demonstration of Superconducting Optoelectronic Single-Photon Synapsescited by 0
- 2025Hebbian learning the local structure of languagecited by 0
- 2025What Neuroscience Can Teach AI About Learning in Continuously Changing Environmentscited by 0
- 2025What Neuroscience Can Teach AI About Learning in Continuously Changing Environments2 Jul 2025
- 2025Hebbian learning the local structure of language3 Mar 2025
- 2024Intelligence at the Edge of Chaos3 Oct 2024
- 2024Chaos-based reinforcement learning with TD315 May 2024
- 2022Demonstration of Superconducting Optoelectronic Single-Photon Synapses20 Apr 2022
- 2022Turing's cascade instability supports the coordination of the mind, brain, and behavior17 Apr 2022
- 2021Optimal input representation in neural systems at the edge of chaos12 Jul 2021
- 2021Continual Developmental Neurosimulation Using Embodied Computational Agents7 Mar 2021
- 2021Formalising the Use of the Activation Function in Neural Inference2 Feb 2021