Journal
NATURE REVIEWS NEUROSCIENCE
Volume 16, Issue 7, Pages 430-U81Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nrn3963
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Funding
- European Research Council (ERC) [295129]
- Spanish Research Project [SAF2010-16085]
- FP7-ICT BrainScales
- Brain Network Recovery Group through the James S. McDonnell Foundation
- Paul Allen Family Foundation
- James S. McDonnell Foundation
- Mind Science Foundation
- ERC [615539]
- TrygFonden Charitable Foundation
- ICREA Funding Source: Custom
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The brain regulates information flow by balancing the segregation and integration of incoming stimuli to facilitate flexible cognition and behaviour. The topological features of brain networks - in particular, network communities and hubs - support this segregation and integration but do not provide information about how external inputs are processed dynamically (that is, over time). Experiments in which the consequences of selective inputs on brain activity are controlled and traced with great precision could provide such information. However, such strategies have thus far had limited success. By contrast, recent whole-brain computational modelling approaches have enabled us to start assessing the effect of input perturbations on brain dynamics in silico.
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