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edited by arnaumanasanch
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6 6  
7 7  A. Destexhe^^1^^, J. Goldman^^1^^, N. Tort-Colet^^1^^, A. Roques^^1^^, J. Fousek^^2^^, S. Petkoski^^2^^, V. Jirsa^^2^^, O. David^^2^^, M. Jedynak^^2^^, C. Capone^^3^^, C. De Luca^^3^^, G. De Bonis^^3^^, P.S. Paolucci^^3^^, E. Mikulan^^4^^, A. Pigorini^^4^^, M. Massimini^^4^^, A. Galluzzi^^5^^, A. Pazienti^^5^^, M. Mattia^^5^^, A. Arena^^6^^, B.E. Juel^^6^^, E. Hagen^^6^^, J.F. Storm^^6^^, E. Montagni^^7^^, F. Resta^^7^^, F.S. Pavone^^7^^, A.L. Allegra Mascaro^^7^^, A. Dwarakanath^^8^^, T.I. Panagiotaropoulos^^8^^, J. Senk^^9^^, M. Diesmann^^9^^, A. Camassa^^10^^, L. Dalla Porta^^10^^, A. Manasanch^^10^^, M.V. Sanchez-Vives^^10, 11^^
8 8  
9 -1. Paris-Saclay University, Institute of Neuroscience (NeuroPSI), CNRS, Saclay, France.
10 -1. Aix-Marseille University, Marseille, France
11 -1. INFN, Rome, Italy
12 -1. UMIL, Milan, Italy
13 -1. ISS, Rome, Italy
14 -1. UiO, Oslo, Norway
15 -1. LENS, Florence, Italy
16 -1. CEA, NeuroSpin, France
17 -1. FZJ, Julich, Germany
18 -1. IDIBAPS, Barcelona, Spain
19 -1. ICREA, Barcelona, Spain
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20 20  
11 +{{{Paris-Saclay University, Institute of Neuroscience (NeuroPSI), CNRS, Saclay, France.}}}
12 +1.
13 +
14 +{{{Aix-Marseille University, Marseille, France}}}
15 +1.
16 +
17 +{{{INFN, Rome, Italy}}}
18 +1.
19 +
20 +{{{UMIL, Milan, Italy}}}
21 +1.
22 +
23 +{{{ISS, Rome, Italy}}}
24 +1.
25 +
26 +{{{UiO, Oslo, Norway}}}
27 +1.
28 +
29 +{{{LENS, Florence, Italy}}}
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31 +
32 +{{{CEA, NeuroSpin, France}}}
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34 +
35 +{{{FZJ, Julich, Germany}}}
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37 +
38 +{{{IDIBAPS, Barcelona, Spain}}}
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40 +
41 +{{{ICREA, Barcelona, Spain}}}
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21 21  == Abstract ==
22 22  
23 23  The objective of this paper is to review physiological and computational aspects of the responsiveness of the cerebral cortex to stimulation, and how responsiveness depends on the state of the system. This correspondence between brain state and brain responsiveness (state-dependent responses) is outlined at different scales from cellular and circuit level, to the mesoscale and the macroscale level. At each scale, we review how quantitative methods can be used to characterize network states based on brain responses, such as the Perturbational Complexity Index (PCI). This description will compare data and models, systematically and at multiple scales, with a focus on the mechanisms that explain how brain responses depend on brain states.