Optimal dynamical range of excitable networks at criticality
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Neural activity often exhibits multimodal distributions, reflecting transitions between distinct dynamical states rather than continuous fluctuations around a single equilibrium.
“Neural activity often exhibits multimodal distributions, reflecting transitions between distinct dynamical states rather than continuous fluctuations around a single equilibrium (Deco et al. 2011; Freyer et al. 2009; Kinouchi and Copelli 2006).”
From The myth of the Bayesian brain (2025) · cites this paper as Kinouchi and Copelli 2006
The passage on p. 2 describes a non-equilibrium phase transition in a model of excitable networks, and another p. 2 passage describes distributions of branching ratios, extinction times, and avalanche sizes. None addresses whether neural activity often has multimodal distributions or whether such distributions reflect switching between dynamical states rather than fluctuations around one equilibrium (searched for multimodal and bimodal activity distributions and state transitions). (LLM, conf=0.76)
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“Bistability and multistability: Neural activity often exhibits multimodal distributions, reflecting transitions between distinct dynamical states rather than continuous fluctuations around a single equilibrium (Deco et al. 2011; Freyer et al. 2009; Kinouchi and Copelli 2006).”
- Authors
- Kinouchi, O., & Copelli, M.
- Affiliations
- Universidade de São Paulo (BR)
- Universidade Federal de Pernambuco (BR)
- Corresponding author
- Kinouchi, Osame
- Venue
- Nature Physics
- Published
- 2006-04-23
- Volume
- 2
- Issue
- 5
- Pages
- 348-351
- ISSN
- 1745-2473 (ISSN-L)
- 1745-2481
- OpenAlex
- W1992421401
- Cited by
- 831
- References
- 34
- Citations by year
- 2026: 44 · 2025: 46 · 2024: 47 · 2023: 59 · 2022: 46 · 2021: 77 · 2020: 58 · 2019: 62 · 2018: 48 · 2017: 51 · 2016: 36 · 2015: 34 · 2014: 32 · 2013: 40 · 2012: 39
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Physics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
- Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
- Keywords
- excitable networks, criticality, dynamic range, nonequilibrium phase transitions, gap junctions, electrical coupling, olfactory glomeruli, retinal ganglion cells, synchronization, global oscillations, information encoding, psychophysical laws, neural coding
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