| Emerging concepts for the dynamical organization of resting-state activity in the brain G Deco, VK Jirsa, AR McIntosh Nature reviews neuroscience 12 (1), 43-56, 2011 | 1866 | 2011 |
| The dynamic brain: from spiking neurons to neural masses and cortical fields G Deco, VK Jirsa, PA Robinson, M Breakspear, K Friston PLoS computational biology 4 (8), e1000092, 2008 | 1232 | 2008 |
| Key role of coupling, delay, and noise in resting brain fluctuations G Deco, V Jirsa, AR McIntosh, O Sporns, R Kötter Proceedings of the National Academy of Sciences 106 (25), 10302-10307, 2009 | 866 | 2009 |
| Ongoing cortical activity at rest: criticality, multistability, and ghost attractors G Deco, VK Jirsa Journal of Neuroscience 32 (10), 3366-3375, 2012 | 786 | 2012 |
| Computational neuroscience of vision E Rolls, G Deco Oxford university press, 2001 | 729 | 2001 |
| Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? R Hindriks, MH Adhikari, Y Murayama, M Ganzetti, D Mantini, ... Neuroimage 127, 242-256, 2016 | 671 | 2016 |
| Rethinking segregation and integration: contributions of whole-brain modelling G Deco, G Tononi, M Boly, ML Kringelbach Nature reviews neuroscience 16 (7), 430-439, 2015 | 654 | 2015 |
| Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations G Deco, A Ponce-Alvarez, D Mantini, GL Romani, P Hagmann, ... Journal of Neuroscience 33 (27), 11239-11252, 2013 | 598 | 2013 |
| Functional connectivity dynamics: modeling the switching behavior of the resting state ECA Hansen, D Battaglia, A Spiegler, G Deco, VK Jirsa Neuroimage 105, 525-535, 2015 | 581 | 2015 |
| Role of local network oscillations in resting-state functional connectivity J Cabral, E Hugues, O Sporns, G Deco Neuroimage 57 (1), 130-139, 2011 | 566 | 2011 |
| The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core G Deco, ML Kringelbach, VK Jirsa, P Ritter Scientific reports 7 (1), 3095, 2017 | 510 | 2017 |
| Human consciousness is supported by dynamic complex patterns of brain signal coordination A Demertzi, E Tagliazucchi, S Dehaene, G Deco, P Barttfeld, F Raimondo, ... Science advances 5 (2), eaat7603, 2019 | 481 | 2019 |
| Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders G Deco, ML Kringelbach Neuron 84 (5), 892-905, 2014 | 454 | 2014 |
| An information-theoretic approach to neural computing G Deco, D Obradovic Springer Science & Business Media, 2012 | 439 | 2012 |
| Computational models of schizophrenia and dopamine modulation in the prefrontal cortex ET Rolls, M Loh, G Deco, G Winterer Nature Reviews Neuroscience 9 (9), 696-709, 2008 | 437 | 2008 |
| Resting brains never rest: computational insights into potential cognitive architectures G Deco, VK Jirsa, AR McIntosh Trends in neurosciences 36 (5), 268-274, 2013 | 417 | 2013 |
| How local excitation–inhibition ratio impacts the whole brain dynamics G Deco, A Ponce-Alvarez, P Hagmann, GL Romani, D Mantini, ... Journal of Neuroscience 34 (23), 7886-7898, 2014 | 415 | 2014 |
| Exploring the network dynamics underlying brain activity during rest J Cabral, ML Kringelbach, G Deco Progress in neurobiology 114, 102-131, 2014 | 410 | 2014 |
| A neurodynamical cortical model of visual attention and invariant object recognition G Deco, ET Rolls Vision research 44 (6), 621-642, 2004 | 407 | 2004 |
| The noisy brain: stochastic dynamics as a principle of brain function ET Rolls, G Deco Oxford university press, 2010 | 404 | 2010 |
Morten L KringelbachProfessor of Neuroscience, Universities of Oxford and AarhusE-mailová adresa ověřena na: linacre.ox.ac.uk
