The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Critical-State Dynamics of Avalanches and Oscillations Jointly Emerge from Balanced Excitation/Inhibition in Neuronal Networks
Open accessAbstract
Criticality has gained widespread interest in neuroscience as an attractive framework for understanding the character and functional implications of variability in brain activity. The metastability of critical systems maximizes their dynamic range, storage capacity, and computational power. Power-law scaling-a hallmark of criticality-has been observed on different levels, e.g., in the distribution of neuronal avalanches in vitro and in vivo, but also in the decay of temporal correlations in behavioral performance and ongoing oscillations in humans. An unresolved issue is whether power-law scaling on different organizational levels in the brain-and possibly in other hierarchically organized systems-can be related. Here, we show that critical-state dynamics of avalanches and oscillations jointly emerge in a neuronal network model when excitation and inhibition is balanced. The oscillatory activity of the model was qualitatively similar to what is typically observed in recordings of human resting-state MEG. We propose that homeostatic plasticity mechanisms tune this balance in healthy brain networks, and that it is essential for critical behavior on multiple levels of neuronal organization with ensuing functional benefits. Based on our network model, we introduce a concept of multi-level criticality in which power-law scaling can emerge on multiple time scales in oscillating networks.
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Citations
Cites
Neuronal Oscillations in Cortical Networks
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Neocortical excitation/inhibition balance in information processing and social dysfunction
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“If the oscillations wax and wane at random (e.g., as bandpass filtered white noise), the DFA exponent will be 0.5, whereas a DFA exponent between 0.5 and 1.0 imply that oscillations have a scale-free amplitude modulation (Linkenkaer-Hansen et al., 2001).”
InfluentialSelf-citationEntrainment of Neocortical Neurons and Gamma Oscillations by the Hippocampal Theta Rhythm
Sirota, A., Montgomery, S., Fujisawa, S., Isomura, Y., Zugaro, M., & Buzsáki, G. (2008) · Neuron · doi:10.1016/j.neuron.2008.09.014 · Cited by 1,015
The Temporal Structures and Functional Significance of Scale-free Brain Activity
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Optimal dynamical range of excitable networks at criticality
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Pyramidal cell communication within local networks in layer 2/3 of rat neocortex.
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Broadband criticality of human brain network synchronization
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Cited by
Scale-free brain activity: past, present, and future
He, B. J. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.04.003 · Cited by 802
Colloquium: Criticality and dynamical scaling in living systems
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Palva, J. M., Zhigalov, A., Hirvonen, J., Korhonen, O., Linkenkaer-Hansen, K., & Palva, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216855110 · Cited by 462
Self-citationHow critical is brain criticality?
O’Byrne, J., & Jerbi, K. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.08.007 · Cited by 258
Criticality between Cortical States
Fontenele, A. J., de Vasconcelos, N. A. P., Feliciano, T., Aguiar, L. A. A., Soares-Cunha, C., Coimbra, B., Dalla Porta, L., Ribeiro, S., Rodrigues, A. J., Sousa, N., et al. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.208101 · Cited by 237
Metadata
- Authors
- Poil, S.-S., Hardstone, R., Mansvelder, H. D., & Linkenkaer-Hansen, K.
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-07-18
- Volume
- 32
- Issue
- 29
- Pages
- 9817-9823
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2151703285
- Cited by
- 402
- References
- 13
- FWCI
- 8.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Poil, S.-S., Hardstone, R., Mansvelder, H. D., & Linkenkaer-Hansen, K. (2012). Critical-State Dynamics of Avalanches and Oscillations Jointly Emerge from Balanced Excitation/Inhibition in Neuronal Networks. Journal of Neuroscience. https://doi.org/10.1523/jneurosci.5990-11.2012
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