This title appears in the Scientific Report :
2019
Please use the identifier:
http://hdl.handle.net/2128/23022 in citations.
Please use the identifier: http://dx.doi.org/10.1073/pnas.1818972116 in citations.
Second type of criticality in the brain uncovers rich multiple-neuron dynamics
Second type of criticality in the brain uncovers rich multiple-neuron dynamics
Cortical networks that have been found to operate close to a critical point exhibit joint activations of large numbers of neurons. However, in motor cortex of the awake macaque monkey, we observe very different dynamics: massively parallel recordings of 155 single-neuron spiking activities show weak...
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Personal Name(s): | Dahmen, David (Corresponding author) |
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Grün, Sonja / Diesmann, Markus / Helias, Moritz | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Published in: | Proceedings of the National Academy of Sciences of the United States of America, 116 (2019) 26, S. 2018-18972RR |
Imprint: |
Washington, DC
National Acad. of Sciences
2019
|
PubMed ID: |
31189590 |
DOI: |
10.1073/pnas.1818972116 |
Document Type: |
Journal Article |
Research Program: |
GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration Human Brain Project Specific Grant Agreement 2 Theory of multi-scale neuronal networks Theory, modelling and simulation Connectivity and Activity Human Brain Project Specific Grant Agreement 1 |
Link: |
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Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1073/pnas.1818972116 in citations.
Cortical networks that have been found to operate close to a critical point exhibit joint activations of large numbers of neurons. However, in motor cortex of the awake macaque monkey, we observe very different dynamics: massively parallel recordings of 155 single-neuron spiking activities show weak fluctuations on the population level. This a priori suggests that motor cortex operates in a noncritical regime, which in models, has been found to be suboptimal for computational performance. However, here, we show the opposite: The large dispersion of correlations across neurons is the signature of a second critical regime. This regime exhibits a rich dynamical repertoire hidden from macroscopic brain signals but essential for high performance in such concepts as reservoir computing. An analytical link between the eigenvalue spectrum of the dynamics, the heterogeneity of connectivity, and the dispersion of correlations allows us to assess the closeness to the critical point. |