Top ten highlights

Year Papers
2016pdf-icon-1Deco, Gustavo; Kringelbach, Morten 2016, Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. Trends in Neurosciences, 39:125-135.
2015pdf-icon-1Gustavo Deco, Giulio Tononi, Melanie Boly, Morten Kringelbach 2015, Rethinking segregation and integration: contributions of whole-brain modelling. Nature Review Neuroscience, 16, 430-439.
2015pdf-icon-1Morten Kringelbach, Anthony McIntosh, Petra Ritter, Viktor Jirsa, Gustavo Deco 2015, The Rediscovery of Slowness: Exploring the Timing of Cognition. Trends in Cognitive Sciences, (19)10, 616–628.
2014pdf-icon-1Gustavo Deco, Morten Kringelbach 2014, Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders. Neuron, Volume 84, Issue 5, p892-905.
2011pdf-icon-1Gustavo Deco, Viktor Jirsa, A. McIntosh 2011 Emerging concepts for the dynamical organization of resting-state activity in the brain. Nature Review Neurosciences, vol.12, 43-56.
2014pdf-icon-1Gustavo Deco, Patric Hagmann, Anthony Hudetz, Giulio Tononi 2014, Modeling resting-state functional networks when the cortex falls asleep: local and global changes. Cerebral Cortex, 24(12):3180-94.
2012pdf-icon-1Gustavo Deco, Viktor Jirsa 2012, Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors. The Journal of Neuroscience, 7;32(10):3366-75.
2008pdf-icon-1Gustavo Deco, Viktor Jirsa, Peter Robinson, Michael Breakspear, Karl Friston 2008, The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Computational Biology, 4(8): e1000092.
2009pdf-icon-1Gustavo Deco, Viktor Jirsa, A. McIntosh, Olaf Sporns, Rolf Kötter 2009, Key role of coupling, delay, and noise in resting brain fluctuations. Proceedings of the National Academy of Sciences, 106(25), 10302-10307.
2015pdf-icon-1Edmund Rolls, Gustavo Deco 2015, Networks for memory, perception, and decision-making, and beyond to how the syntax for language might be implemented in the brain. Brain research, 1621, 316-334.

Books

Year Book
2010the noisy brainEdmund T. Rolls, Gustavo Deco The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function. Oxford University Press.
2001Computational Neuroscience of VisionEdmund T. Rolls, Gustavo Deco Computational Neuroscience of Vision. Oxford University Press.
2000Information Dynamics: Foundations and ApplicationsDeco, Gustavo, Schürmann, Bernd Information Dynamics Foundations and Applications. Information Dynamics Foundations and Applications
1996An Information - Theoretic Approach to Neural ComputingDeco, Gustavo, Obradovic, Dragan An Information-Theoretic Approach to Neural Computing. Springer Verlag (New York),

Papers

Year Paper
2017pdf-icon-1Lord L.D., Stevner A.B., Deco G., Kringelbach M.L., 2017, Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders. Philos Trans A Math Phys Eng Sci., 375(2096).
pdf-icon-1Adhikari, Mohit H.; Hacker, Carl D.; Siegel, Josh S.; Griffa, Alessandra; Hagmann, Patric; Deco, Gustavo; Corbetta, Maurizio, 2017, Decreased integration and information capacity in stroke measured by whole brain models of resting state activity. Brain, 140, 4, 1068 - 1085.
pdf-icon-1M. Vila-Vidal, A. Principe, M. Ley, G. Deco, A. Tauste Campo and R. Rocamora, 2017, Detection of recurrent activation patterns across focal seizures: Application to seizure onset zone identification. Clinical Neurophysiology, vol. 128, 977-85.
pdf-icon-1R. G. Bettinardi, G. Deco, V. M. Karlaftis, T. J. Van Hartevelt, H. M. Fernandes, Z. Kourtzi, M. L. Kringelbach, and G. Zamora-López, 2017, How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain’s spontaneous correlation structure. Chaos 27, 047409.
pdf-icon-1Deco G., Cabral J., Woolrich M.W., Stevner A.B., van Hartevelt T.J., Kringelbach M.L., 2017, Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. Neuroimage, 152:538-550.
pdf-icon-1 Senden M., Reuter N., van den Heuvel M.P., Goebel R., Deco G., 2017, Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior. NeuroImage, 146:561-574.
pdf-icon-1 Insabato A., Pannunzi M., Deco G., 2017, Multiple choice neurodynamical model of the uncertain option task. PLOS Computational Biology, 13(1): e1005250.
pdf-icon-1Deco G., Van Hartevelt T. J., Fernandes H. M., Stevner A., and Kringelbach M. L., 2017, The most relevant human brain regions for functional connectivity: Evidence for a dynamical workspace of binding nodes from whole-brain computational modelling. NeuroImage, 146, 1, 197–210.
2016pdf-icon-1Nikos E. Kouvaris, Rubén J. Requejo, Johanne Hizanidis, and Albert Díaz-Guilera, 2016, Chimera states in a network-organized public goods game with destructive agents. Chaos 26, 123108.
pdf-icon-1Córdova-Palomera A., Tornador C., Falcón C., Bargalló N., Brambilla P., Crespo-Facorro B., Deco G., and Fañanás L., 2016, Environmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronization. Scientific Reports, 6, 37384.
pdf-icon-1Zamora-López, G., Chen, Y., Deco, G., Kringelbach, M.L. and Zhou, C.S. 2016, Functional complexity emerging from anatomical constraints in the brain: the significance of network modularity and rich-clubs. Scientific Reports, 6, 38424.
pdf-icon-1 L.D. Lord, P. Expert, H. Fernandes, G. Petri, T. Van Hartevelt, F. Vaccarino , G. Deco, F. Turkheimer, M. L. Kringelbach 2016, Insights into Brain Architectures from the Homological Scaffolds of Functional Connectivity Networks. Frontiers in Systems Neuroscience,10, 85.
pdf-icon-1 Insabato A., Pannunzi M., G. Deco 2016, Neural correlates of metacognition: A critical perspective on current tasks. Neuroscience & Biobehavioral Reviews, 71:167-175.
pdf-icon-1E. Rolls, G. Deco 2016, Non-reward neural mechanisms in the orbitofrontal cortex.Cortex, 83:27-38.
pdf-icon-1van der Togt C, Stănişor L, Pooresmaeili A, Albantakis L, Deco G, Roelfsema PR. 2016, Learning a New Selection Rule in Visual and Frontal Cortex. Cerebral Cortex 26 (8): 3611-3626.
pdf-icon-1Hindriks R, Arsiwalla XD, Panagiotaropoulos T, Besserve M, Verschure PF, Logothetis NK, Deco G 2016, Discrepancies between Multi-Electrode LFP and CSD Phase-Patterns: A Forward Modeling Study. , Frontiers Neural Circuits,10:51. eCollection 2016.
pdf-icon-1Vattikonda, A., Surampudi, B., Banerjee, A., Deco, G., and Roy, D. 2016, Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. Neuroimage, 136:57-67.
pdf-icon-1 Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K.,and Deco, G. 2016. Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? Neuroimage, 127, 242 - 256.
pdf-icon-1Gilson, M., Moreno-Bote, R., Ponce-Alvarez, A., Ritter, P., and Deco, G. 2016, Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome. PLoS Computational Biology, 11, 3, e1004762.
pdf-icon2Demirtaş, M., Tornador, C., Falcón, C.,López-Solà, M., Hernández-Ribas, R., Pujol, J., Menchón, J., Ritter, P., Cardoner, N., Soriano-Mas, C., and Deco, G. 2016, Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder. Human Brain Mapping, 1097-0193. doi: 10.1002/hbm.23215.
pdf-icon-1Kaplan, R., Adhikari, M., Hindriks, R., Martini, D., Murayama, Y., Logothetis, N., and Deco, G. 2016, Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network. Current Biology, 26:686–691.
pdf-icon-1Deco, Gustavo; Kringelbach, Morten 2016, Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. Trends in Neurosciences, 39:125-135.
pdf-icon-1Batalle, D., Muñoz-Moreno, E., Tornador, C., Bargallo, N., Deco, G., Eixarch, E., and Gratacos, E. 2016, Altered resting-state whole-brain functional networks of neonates with intrauterine growth restriction. Cortex, 77:119–131.
pdf-icon-1J. Hizanidis, N.E. Kouvaris, G. Zamora-López, Albert Díaz-Guilera, C.G. Antonopoulos, 2016, Chimera-like states in modular neural networks. Scientific Reports, 6, 19845.
pdf-icon-1 Paz, L., Insabato, A., Zylberber, A., Deco, G. and Sigman, M. 2016, Confidence through consensus: a neural mechanism for uncertainty monitoring. Scientific Reports, 6, 21830.
2015pdf-icon-1Rolls E.T. and Deco G. 2015,Networks for memory, perception, and decision-making, and beyond to how the syntax for language might be implemented in the brain. Brain Research, 1621, 316–334.
pdf-icon-1Kringelbach M., McIntosh A., Ritter P., Jirsa V. and Deco G. 2015, The Rediscovery of Slowness: Exploring the Timing of Cognition. Trends in Cognitive Sciences, (19)10, 616–628.
pdf-icon-1Pierre Yger, Matthieu Gilson 2015, Models of Metaplasticity: A Review of Concepts. Front. Comput. Neurosci. 9:138.
pdf-icon-1Gigante G., Deco G., Marom S., Del Giudice P. 2015, Network Events on Multiple Space and Time Scales in Cultured Neural Networks and in a Stochastic Rate Model. PLoS Comput. Biol., 11(11): e1004547.
pdf-icon-1Tauste Campo A., Martinez-Garcia M., Nácher V., Luna R., Romo R. and Deco G. 2015, Task-driven intra- and interarea communications in primate cerebral cortex. Proceedings of The National Academy of Science USA, 112(15):4761-6.
pdf-icon-1Córdova-Palomera, A., Tornador, C., Falcón, C., Bargalló, N., Nenadic, I., Deco, G. and Fañanás, L. 2015,Altered amygdalar resting-state connectivity in depression is explained by both genes and environment. Hum. Brain Mapp., 36: 3761–3776.
pdf-icon-1Adhikari M., Beharelle A., Griffa A., Hagmann P., Solodkin A., McIntosh A., Small S. and Deco G. 2015,Computational Modeling of Resting-State Activity Demonstrates Markers of Normalcy in Children with Prenatal or Perinatal Stroke. Journal of Neuroscience, 35(23):8914-8924.
pdf-icon-1van Hartevelt T. J., Cabral J, Møller A, FitzGerald J. J., Green A. L., Aziz T. Z., Deco G and Kringelbach M. L. 2015, Evidence from a rare case study for Hebbian-like changes in structural connectivity induced by long-term deep brain stimulation. Front. Behav. Neurosci. 9:167.
pdf-icon-1Deco G., Tononi G., Boly M. and Kringelbach M. 2015, Rethinking segregation and integration: contributions of whole-brain modelling. Nature Review Neuroscience, 16, 430-439.
pdf-icon-1Bettinardi R.G., Tort-Colet N., Ruiz-Mejias M., Sanchez-Vives M.V., Deco G. 2015, Gradual emergence of spontaneous correlated brain activity during fading of general anesthesia in rats: Evidences from fMRI and local field potentials. NEUROIMAGE, 114, 185-198.
pdf-icon-1H. Fernandes, T. Hartevelt, S. Boccard, S. Owen, J. Cabral, G. Deco, A. Green, J. Fitzgerald, T. Aziz and M. Kringelbach 2015, Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome. New Journal of Physics, vol. 17 015001.
pdf-icon-1X. Arsiwalla, R. Zucca, A. Betella, E. Martinez, D. Dalmazzo, P. Omedas ,G. Deco, and P. Verschure 2015, Network dynamics with {BrainX}3: a large-scale simulation of the human brain network with real-time interaction. Frontiers in Neuroinformatics, 9: 02.
pdf-icon-1Hindriks R., Woolrich M., Luckhoo H., Joensson M., Mohseni H., Kringelbach M.L. and Deco G. 2015 Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex. Neuroimage, v 106, pp 328-339.
pdf-icon-1Ponce-Alvarez A., He B.J., Hagmann P., Deco G. 2015, Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling. PLoS Comput Biol 11(8): e1004445.
pdf-icon-1Martinez-Garcia M., Insabato A., Pannunzi M., Pardo-Vazquez J.L., Acuña C., Deco G. 2015, The Encoding of Decision Difficulty and Movement Time in the Primate Premotor Cortex. PLoS Comput. Biol., 11(11): e1004502.
pdf-icon-1Ernest Montbrió, Diego Pazó, Alex Roxin. Macroscopic Description for Networks of Spiking Neurons. Physical Review X, 5(2), 021028. 2015
pdf-icon-1Pannunzi M., Pérez-Bellido A., Pereda-Baños A., López-Moliner J., Deco G. and Soto-Faraco S. 2015, Deconstructing multi-sensory enhancement in detection. Journal of Neurophysiology, 15;113(6):1800-18.
pdf-icon-1Rolls E.T. and Deco G. 2015, Stochastic cortical neurodynamics underlying the memory and cognitive changes in aging. Neurobiology of Learning and Memory, 118, 150-161.
pdf-icon-1Ponce-Alvarez A., Deco G., Hagmann P., Romani G.L., Mantini D., Corbetta M. 2015, Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity. PLoS Computational Biology, 11(2): e1004100.
pdf-icon-1Hansen E., Battaglia D., Spiegler A., Deco G. and Jirsa V. 2015, Functional connectivity dynamics: Modeling the switching behavior of the resting state. Neuroimage, 105:525-35.
2014pdf-icon-1Hindriks R., van Putten M., and Deco G. 2014, Intra-cortical propagation of EEG alpha oscillations. Neuroimage, 103:444-53.
D.Roy, R. Sigala, M.l Breakspear, A. McIntosh, V. Jirsa, G. Deco and P. Ritter 2014, Using the Virtual Brain to Reveal the Role of Oscillations and Plasticity in Shaping Brain's Dynamical Landscape. Brain Connectivity, 4(10): 791-811.
pdf-icon-1G. Deco and Morten Kringelbach 2014, Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders. Neuron, Volume 84, Issue 5, p892-905.
pdf-icon-1Deco G., Hagmann P., Hudetz A.G., and Tononi G. 2014, Modeling resting-state functional networks when the cortex falls asleep: local and global changes. Cerebral Cortex, 24(12):3180-94.
pdf-icon-1Ton R., Deco G., and Daffertshofer A. 2014, Structure-Function Discrepancy: Inhomogeneity and Delays in Synchronized Neural Networks. PLoS Computational Biology, 10(7):e1003736.
pdf-icon-1Cabral J., Luckhoo H., Woolrich M., Joensson M., Mohseni H., Baker A., Kringelbach M.L., and Deco G. 2014, Exploring mechanisms of spontaneous MEG functional connectivity: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. Neuroimage, 90:423-435.
pdf-icon-1A. Insabato, L. Dempere-Marco, M. Pannunzi, G. Deco, and R. Romo. 2014, The Influence of Spatiotemporal Structure of Noisy Stimuli in Decision Making. PLoS Computational Biology, 10(4): e1003492
pdf-icon-1Cabral J., Kringelbach M.L., and Deco G. 2014, Exploring the network dynamics underlying brain activity during rest. Progress in Neurobiology, 114C:102-131.
pdf-icon-1D. Pazó, E. Montbrió 2014, Low-Dimensional Dynamics of Populations of Pulse-Coupled Oscillators. Phys. Rev. X 4, 011009.
pdf-icon-1Roland P.E., Hilgetag C.C. and Deco G. 2014, Cortico-cortical communication dynamics. Frontiers System Neuroscience, 8:19.
pdf-icon-1Nakagawa T., Woolrich M., Luckhoo H., Joensson M., Mohseni H., Kringelbach M., Jirsa V., Deco G. 2014, How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest. Neuroimage, 87:383-94.
pdf-icon-1G. Deco, A. Ponce-Alvarez, P. Hagmann, G.L. Romani, D. Mantini, and M. Corbetta
2014, How Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics. Journal of Neuroscience, 34(23):7886-7898.
pdf-icon-1G. Deco, A. McIntosh, K. Shen, R. Hutchison, R. Menon, S. Everling, P. Hagmann, and V. Jirsa
2014, Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural Modeling. Journal of Neuroscience, 34(23):7910-7916.
pdf-icon-1F. Klimm, J. Borge-Holthoefer, N. Wessel, J. Kurths, G. Zamora-López, 2014, Individual node's contribution to the mesoscale of complex networks. New Journal of Physics, vol. 16,12:125006
pdf-icon-1van Hartevelt T., Cabral, Deco G., Møller A., Green A., Aziz T., Kringelbach M. 2014, Neural plasticity in human brain connectivity: the effects of long term deep brain stimulation of the subthalamic nucleus in Parkinson's disease. PLoS ONE, 9(1):e86496.
pdf-icon-1Mario Senden, G. Deco, M. de Reus, R. Goebel, and M. van den Heuvel 2014, Rich club organization supports a diverse set of functional network configurations. Neuroimage, vol. 96, 174-182.
pdf-icon-1Roland P.E., Hilgetag C.C., and Deco G. 2014,Tracing evolution of spatio-temporal dynamics of the cerebral cortex: Cortico-cortical communication dynamics. Frontiers in System Neuroscience, 5;8:76.
pdf-icon-1Santamaría-García H., Pannunzi M., Ayneto A., Deco G., Sebastián-Gallés N. 2014, If you are good, I get better: the role of social hierarchy in perceptual decision-making. Soc Cogn Affect Neurosci, 9(10):1489-97.
2013pdf-icon-1Ponce-Alvarez A., Thiele A., Albright T.D., Stoner G.R., and Deco G. 2013, Stimulus-dependent variability and noise correlations in cortical MT neurons. Proceedings of the National Academy of Science USA (PNAS), 110(32):13162-7.
pdf-icon-1Abolafia J.M., Martinez-Garcia M., Deco G., Sanchez-Vives M.V. 2013, Variability and information content in auditory cortex spike trains during an interval-discrimination task. Journal of Neurophysiology, 110(9):2163-74.
pdf-icon-1Carrillo J.A., Cordier S., Deco G., Mancini S. 2013, Complexity Reduction of Rate-Equations Models for Two-Choice Decision-Making. PLoS ONE, 8(12): e80820
pdf-icon-1Nácher V., Ledberg A., Deco G., and Romo R. 2013, Coherent delta-band oscillations between cortical areas correlate with decision making. Proceedings of the National Academy of Science USA (PNAS), 110(37):15085-90.
pdf-icon-1Olivier Penacchio, Xavier Otazu, Laura Dempere-Marco 2013, A Neurodynamical Model of Brightness Induction in V1. PLoS ONE Public Library of Science e64086.
pdf-icon-1T. Masquelier and G. Deco 2013, Network Bursting Dynamics in Excitatory Cortical Neuron Cultures Results from the Combination of Different Adaptive Mechanism. PLoS ONE, 8(10): e75824.
pdf-icon-1Rolls,E., Dempere-Marco, L., and Deco G. 2013, Holding Multiple Items in Short Term Memory: A Neural Mechanism. PLoS ONE , 8(4): e61078.
pdf-icon-1G. Deco, A. Ponce-Alvarez, D. Mantini, G.L. Romani, P. Hagmann, and M. Corbetta 2013, Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations. Journal of Neuroscience, 33(27):11239 -11252 .
pdf-icon-1T. Panagiotaropoulos, V. Kapoor, N. Logothetis, and G. Deco 2013, A Common Neurodynamical Mechanism Could Mediate Externally Induced and Intrinsically Generated Transitions in Visual Awareness. PLoS ONE, 8, 1. e53833.
pdf-icon-1Nakagawa T.T., Jirsa V.K., Spiegler A., McIntosh A.R., and Deco G. 2013, Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging. Neuroimage, 80:318-29.
pdf-icon-1G.Deco, E. Rolls, L. Albantakis, and R. Romo 2013, Brain mechanisms for perceptual and reward-related decision-making. Progress in Neurobiology, v. 103, pp 194-213.
pdf-icon-1A. Pastukhov, P. García-Rodríguez, J. Haenicke, A. Guillamon, G. Deco and J. Braun 2013, Multi-stable perception balances stability and sensitivity. Frontiers in Computational Neuroscience, 7:17.
pdf-icon-1E. Marcos, P. Pani, E. Brunamonti, G. Deco, S. Ferraina, and P. Verschure 2013, Neural Variability in Premotor Cortex Is Modulated by Trial History and Predicts Behavioral Performance. Neuron, 78 (2), 249-255.
pdf-icon-1Timothée Masquelier 2013, Neural variability, or lack thereof. Frontiers in Computational Neuroscience 7,7.
pdf-icon-1G. Deco, V. Jirsa, and A. McIntosh 2013, Resting brains never rest: computational insights into potential cognitive architectures. Trends in Neurosciences, v. 36, n. 5, 268-274.
pdf-icon-1Ventura-Campos N, Sanjuán A, González J, Palomar-García MÁ, Rodríguez-Pujadas A, Sebastián-Gallés N, Deco G, and Avila C. 2013, Spontaneous Brain Activity Predicts Learning Ability of Foreign Sounds. Journal of Neuroscience, 33(22):9295-305.
pdf-icon-1T. Serrano-Gotarredona, T. Masquelier, T. Prodromakis, G. Indiveri, B. Linares-Barranco 2013, STDP and STDP Variations with Memristors for Spiking Neuromorphic Learning Systems. Frontiers in Neuroscience 7, 2.
pdf-icon-1Joana Cabral, Henrique M. Fernandes, Tim J. Van Hartevelt, Anthony C. James, Morten L. Kringelbach, and Gustavo Deco 2013, Structural connectivity in schizophrenia and its impact on the dynamics of spontaneous functional networks. Chaos, 23, 046111 (2013).
2012JCabral, J., Kringelbach, M., and Deco, G. 2012, Functional graph alterations in schizophrenia: a result from a global anatomic decoupling?. Pharmacopsychiatry, 45 Suppl 1:S57-64.
pdf-icon-1L. Dempere-Marco, D. Melcher, and G. Deco 2012, Effective Visual Working Memory Capacity: An Emergent Effect from the Neural Dynamics in an Attractor Network. PLoS ONE, 7(8): e42719.
pdf-icon-1L. Albantakis1, F. Branzi, A. Costa, G. Deco 2012, A Multiple-Choice Task with Changes of Mind. PLoS ONE, 7(8): e43131.
pdf-icon-1Ledberg A., Montagnini A., Coppola R., Bressler S.L. 2012, Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral Performance. PLoS ONE 7(8): e43166.
pdf-icon-1G. Deco and E. Hugues 2012, Neural Network Mechanisms Underlying Stimulus Driven Variability Reduction. PLoS Computational Biology, 8(3): e1002395.
pdf-icon-1Chicharro D., Ledberg A. 2012, When Two Become One: The Limits of Causality Analysis of Brain Dynamics. PLoS ONE 7(3): e32466.
pdf-icon-1Deco, G. and Hugues, E. 2012, Balanced Input Allows Optimal Encoding in a Stochastic Binary Neural Network Model: An Analytical Study. PLoS ONE, 7(2): e30723.
pdf-icon-1E. Rolls, T. Webb, and G. Deco 2012, Communication before coherence. European Journal of Neuroscience, 36, 2689-2709.
pdf-icon-1G. Deco, M. Senden, and V. Jirsa 2012, How Anatomy Shapes Dynamics: A Semi-Analytical Study of the Brain at Rest by a Simple Spin Model. Frontiers in Computational Neuroscience, 6:68.
pdf-icon-1Pannunzi M., Gigante G., Mattia M., Deco G., Fusi S., Del Giudice P. 2012, Learning selective top-down control enhances performance in a visual categorization task. Journal of neurophysiology, 108(11):3124-37.
pdf-icon-1R. Hindriks, M.J.A.M. Putten 2012, Meanfield modeling of propofol-induced changes in spontaneous EEG rhythms. NeuroImage, 60:4, 2323-2334.
pdf-icon-1Cabral J., Hugues E., Kringelbach M.L., Deco G. 2012, Modeling the outcome of structural disconnection on resting-state functional connectivity. Neuroimage, (62) 1342-1353.
pdf-icon-1T. Panagiotaropoulos, G.Deco, V. Kapoor, N. Logothetis 2012, Neuronal Discharges and Gamma Oscillations Explicitly Reflect Visual Consciousness in the Lateral Prefrontal Cortex. Neuron, 74 (5), 924-935.
pdf-icon-1G. Deco and V. Jirsa 2012, Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors. The Journal of Neuroscience, 7;32(10):3366-75.
pdf-icon-1Friston K, Breakspear M and Deco G 2012, Perception and self-organised instability. Frontiers in Computational Neuroscience, 6:44.
pdf-icon-1Masquelier, T. J 2012, Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Journal of Computational Neuroscience 32:3, 425-441
pdf-icon-1Senden M., Goebel R., Deco G. 2012, Structural connectivity allows for multi-threading during rest: The structure of the cortex leads to efficient alternation between resting state exploratory behavior and default mode processing. Neuroimage, 60(4):2274-2284.
pdf-icon-1J. Benita, A. Guillamon, G. Deco and M. Sanchez-Vives 2012,Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex. Frontiers in Computational Neuroscience, 6:64.
pdf-icon-1R. Hindriks, M.J.A.M. Putten 2012, Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillations. NeuroImage 70,150-163.
pdf-icon-1W. Gerstner, H. Sprekeler, and G. Deco 2012, Theory and Simulation in Neuroscience. Science, Vol. 338 no. 6103 pp. 60-65.
2011E. Montbrió, D. Pazó 2011, Collective synchronization in the presence of reactive coupling and shear diversity. Phys. Rev. E, 84:4, 046206.
E. Montbrió, D. Pazó 2011, Shear Diversity Prevents Collective Synchronization. Phys. Rev. Lett., 106:25 254101.
Mavritsaki, E., Heinke, D., Allen, H., Deco, G., Humphreys, G. 2011, Bridging the gap between physiology and behavior: evidence from the SSOTS model of human visual attention. Psychological Review, 118(1), 3-41.
pdf-icon-1G. Deco, V. Jirsa, and A.R. McIntosh 2011, Emerging concepts for the dynamical organization of resting-state activity in the brain. Nature Review Neurosciences, vol.12, 43-56.
pdf-icon-1Gilson M., Masquelier T., Hugues E. 2011 STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. PLoS Comput Biol 7(10): e1002231.
pdf-icon-1T.Webb, E. Rolls, G. Deco, and J. Feng 2011, Noise in Attractor Networks in the Brain Produced by Graded Firing Rate Representations. PLoS ONE, 6(9): e23630.
pdf-icon-1Albantakis, L. and Deco, G. 2011, Changes of Mind in an Attractor Network of Decision-Making. PLoS Computational Biology, 7(6): e1002086.
pdf-icon-1G. Deco and A. Thiele 2011, Cholinergic control of cortical network interactions enables feedback-mediated attentional modulation. European Journal of Neuroscience, Vol. 34, pp. 146-157.
pdf-icon-1E. Rolls and G. Deco 2011, A computational neuroscience approach to schizophrenia and its onset. Neuroscience and Biobehavioral Reviews, vol. 36, pp. 1644-1653.
pdf-icon-1P. Theodoni, T. Panagiotaropoulos, V. Kapoor, N. Logothetis and G. Deco 2011, Cortical microcircuit dynamics mediating Binocular Rivalry: The role of adaptation in inhibition. Frontiers in Human Neuroscience, 5:145.
pdf-icon-1R. Hindriks, F. Bijma, B.W. Dijk, C.J. Stam, Y.D. Werf, E.J.W. Someren, J.C. Munck, A.W. Vaart. 2011, Data-driven modeling of phase-interactions between spontaneous MEG oscillations. Human Brain Mapping, 32:7, 1161-1178.
pdf-icon-1G. Deco and M. Corbetta 2011, The Dynamical Balance of the Brain at Rest. The Neuroscientist, 17(1), 107-123.
pdf-icon-1R. Hindriks, F. Bijma, B.W. Dijk, Y.D. Werf, E.J.W. Someren, A.W. Vaart. 2011, Dynamics underlying spontaneous human alpha oscillations: A data-driven approach. NeuroImage, 57:2, 440-451.
pdf-icon-1A. Roxin, E. Montbrió 2011,How effective delays shape oscillatory dynamics in neuronal networks. Physica D: Nonlinear Phenomena, 240:3, 323 - 345.
D. Pazó, E. Montbrió 2011, The Kuramoto model with distributed shear. EPL (Europhysics Letters), 95:6, 60007.
pdf-icon-1J.X. Maier, R. Hindriks 2011, Modeling the physiological mechanisms of multistability in spontaneous corticothalamic dynamics. Journal of Neuroscience 31(32): 11423-11424.
pdf-icon-1M. Martínez-García, E. Rolls, G. Deco, and R. Romo 2011, Neural and computational mechanisms of postponed decisions. Proceedings of the National Academy of Science USA (PNAS), vol. 108, no. 28, pp. 11626-11631.
pdf-icon-1Theodoni, P., Kovacs, G., Greenlee, M. and Deco, G. 2011, Neuronal Adaptation Effects in Decision Making. Journal of Neuroscience, 31(1):234 -246.
pdf-icon-1B.Linares-Barranco, T. Serrano-Gotarredona, L. Camuñas-Mesa, J. Perez-Carrasco, C. Zamarreño-Ramos, T. Masquelier 2011, On Spike-Timing-Dependent-Plasticity, Memristive Devices, and building a Self-Learning Visual Cortex. Frontiers in Neuroscience, 5, 26.
pdf-icon-1A. Stemme, G. Deco and E. Lang 2011, Perceptual learning with perceptions. Cognitive Neurodynamics, 5 (1) , 31-43.
pdf-icon-1E. Rolls and G. Deco 2011, Prediction of decisions from noise in the brain before the evidence is provided. Frontiers in Decision Neuroscience, 5:33.
pdf-icon-1J. Cabral, E. Hugue, O. Sporns, and G. Deco 2011, Role of local network oscillations in resting-state functional connectivity. Neuroimage, vol. 57, pp. 130-139.
pdf-icon-1Deco G., Buehlmann A., Masquelier T. and Hugues E. 2011, The role of rhythmic neural synchronization in rest and task conditions. Frontiers in Human Neuroscience, 5:4.
pdf-icon-1Abolafia J.M., Martinez-Garcia M., Deco G. and Sanchez-Vives M.V. 2011, Slow modulation of ongoing activity in the auditory cortex during an interval-discrimination task. Frontiers in Integrative Neuroscience , 5:60.
pdf-icon-1Masquelier T., Albantakis L. and Deco G. 2011, The Timing of Vision How Neural Processing Links to Different Temporal Dynamics. Frontiers in Psychology , 2:151.
R. Hindriks, R. Jansen, F. Bijma, H.D. Mansvelder, M.C.M. Gunst, A.W. Vaart. 2011,Unbiased estimation from time series with application to hippocampal field potentials in vitro. Phys. Rev. E 84, 021133.
2010pdf-icon-1V. Jirsa, O. Sporns, M. Breakspear, G. Deco, and A.R. McIntosh 2010, Towards the virtual brain: network modeling of the intact and the damaged brain. Archieves Italiennes de Biologie, v. 148, 189-205.
pdf-icon-1M. Loh, G. Schmid, G. Deco, and W. Ziegler 2010, Audiovisual matching in speech and nonspeech sounds: a neurodynamical model. Journal of Cognitive Neuroscience, Vol. 22, No. 2: 240-247.
pdf-icon-1A. Buehlmann and G. Deco 2010, Optimal Information Transfer in the Cortex through Synchronization. PLoS of Computational Biology, 6(9): e1000934.
pdf-icon-1R. Almeida, A. Ledberg, 2010 A biologically plausible model of time-scale invariant interval timing. Journal of Computational Neuroscience Springer US 155-175.
pdf-icon-1E. Rolls, F. Grabenhorst, and G. Deco 2010, Choice, difficulty, and confidence in the brain. Neuroimage, v. 53, pp 694-706.
pdf-icon-1M Breakspear, V. Jirsa, and G. Deco 2010, Computational models of the brain: From structure to function. Neuroimage, 52, 727-730.
pdf-icon-1A. Insabato, M. Pannunzi, E. Rolls, G. Deco, 2010 Confidence-Related Decision Making. Journal of Neurophysiology, 104, 1, 539-547
pdf-icon-1Rolls, Edmund T.; Grabenhorst, Fabian; Deco, Gustavo 2010, Decision-Making, Errors, and Confidence in the Brain. Journal of Neurophysiology, 104, 5, 2359-2374.
pdf-icon-1G. Deco and P. Roland 2010, The role of multi-area interactions for the computation of apparent motion. Neuroimage, 51, 1018-1026.
pdf-icon-1G. Deco, E. Rolls, and R. Romo 2010, Synaptic dynamics and decision making. Proceedings of the National Academy of Science USA (PNAS), v. 107, n. 16, 7545-7549.
2009D. Pazó, E. Montbrió 2009, Existence of hysteresis in the Kuramoto model with bimodal frequency distributions. Phys. Rev. E American Physical Society, 80, 046215.
pdf-icon-1T. Masquelier, R. Guyonneau, S. Thorpe 2009, Competitive STDP-based spike pattern learning. Neural Computation 21, 5, 1259-1276.
pdf-icon-1N. Sebastian, F. Vera-Constan, J. Larsson, A. Costa, and G. Deco 2009, Lexical plasticity in early bilinguals does not alter phoneme categories: II. Experimental evidence. Journal of Cognitive Neuroscience, 21:12, pp 2343-2357.
D. Chicharro, R. Andrzejak 2009, Reliable detection of directional couplings using rank statistics. Phys. Rev. E American Physical Society 80, 026217.
pdf-icon-1G. Deco, D. Marti, A. Ledebrg, R. Reig, and M. Sanchez-Vives. 2009, Effective Reduced Diffusion-Models: A Data Driven Approach to the Analysis of Neuronal Dynamics. PLoS Computational Biology, 5 (12):e1000587.
pdf-icon-1F. David, E. Hugues, T. Cenier, N. Fourcaud-Trocmé, N. Buonviso 2009, Specific Entrainment of Mitral Cells during Gamma Oscillation in the Rat Olfactory Bulb. PLoS Comput Biol 5(10): e1000551.
pdf-icon-1Deco, G. and Thiele, A. 2009, Attention - oscillations and neuropharmacology. European Journal of Neuroscience, Vol. 30, pp. 347-354.
pdf-icon-1L. Albantakis and G. Deco 2009, The encoding of alternatives in multiple-choice decision making. Proceedings of the National Academy of Science USA, 106 (25) pp 10308-10313.
pdf-icon-1G. Deco, V. Jirsa, A. McIntosh, O. Sporns and R. Kötter 2009, Key role of coupling, delay, and noise in resting brain fluctuations. Proceedings of the National Academy of Science USA, 106 (25) 10302-10307.
pdf-icon-1S. Soto-Faraco and G. Deco 2009, Multisensory contributions to the perception of vibrotactile events. Behavioural Brain Research, 196, 145-154.
pdf-icon-1T. Masquelier, E. Hugues, G. Deco,and S. Thorpe 2009, Oscillations, Phase-of-Firing Coding, and Spike Timing-Dependent Plasticity: An Efficient Learning Scheme. Journal of Neuroscience, 29(43):13484-1349.
A. Buehlmann and G. Deco 2009, Rate and gamma modulation in attentional tasks. New Mathematics and Natural Computation, Vol. 5, N. 1 (2009) 135-142.
pdf-icon-1R. Andrzejak, D. Chicharro, C. Elger, F. Mormann 2009, Seizure prediction: Any better than chance?. Clinical Neurophysiology 120, 8, 1465 - 1478.
pdf-icon-1E. Mavritsaki, D. Heinke, G. Deco, and G. Humphreys 2009, Simulating posterior parietal damage in a biologically plausible framework: Neuropsychological tests of the search over time and space model. Journal Cognitive Neuropsychology, vol. 26, n. 4, pp. 343 - 390 .
pdf-icon-1G. Deco, E. Rolls and R. Romo 2009, Stochastic dynamics as a principle of brain function. Progress in Neurobiology, 88 (2009) 1-16.
2008pdf-icon-1E. Rolls, M. Loh, G. Deco, and G. Winterer 2008, Computational models of schizophrenia and dopamine modulation in the prefrontal cortex. Nature review Neuroscience, 9, 696-708.
pdf-icon-1M. Loh, A. Pasupathy, E. Miller, and G. Deco 2008, Neurodynamics of the prefrontal cortex during conditional visuomotor associations. Journal of Cognitive Neuroscience, 20:3, 421-431.
pdf-icon-1J. Larsson, F. Vera-Constan, N. Sebastian-Galles, G. Deco 2008, Lexical plasticity in early bilinguals does not alter phoneme categories: I. Neurodynamical modeling. , Journal of Cognitive Neuroscience, 20:1, pp 76-94.
pdf-icon-1Gustavo Deco, Viktor K. Jirsa, Peter A. Robinson, Michael Breakspear, and Karl Friston 2008, The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Computational Biology, 4(8): e1000092.
pdf-icon-1D. Martí, G. Deco, M. Mattia, G. Gigante, and P. Del Giudice 2008, A Fluctuation-Driven Mechanism for Slow Decision Processes in Reverberant Networks. PLoS One, 3(7): e2534.
pdf-icon-1A. Roxin, A. Ledberg 2008, Neurobiological Models of Two-Choice Decision Making Can Be Reduced to a One-Dimensional Nonlinear Diffusion Equation. PLoS Comput Biol 4(3): e1000046.
pdf-icon-1E. Rolls, M. Loh, and G. Deco 2008, An attractor hypothesis of obsessive-compulsive disorder. European Journal of Neuroscience, 28, 782-793.
pdf-icon-1K. Stephan, J. Riera, G. Deco and B. Horwitz 2008, The Brain Connectivity Workshops: Moving the frontiers of computational systems neuroscience. NeuroImage, 42, 1-9.
pdf-icon-1Durstewitz, Daniel; Deco, Gustavo 2008, Computational significance of transient dynamics in cortical networks. European Journal of Neuroscience 27, 1, 217-227.
pdf-icon-1M. Goldbach, M. Loh, G. Deco, and J. Garcia-Ojalvo 2008, Neurodynamical amplification of perceptual signals via system-size resonance. Physica D, 237, 316-323.
pdf-icon-1A. Bühlmann and G. Deco 2008, The Neuronal Basis of Attention: Rate versus Synchronization Modulation. Journal of Neuroscience, 28 (3): 7679-7686.
pdf-icon-1G. Deco and R. Romo 2008, The role of fluctuations in perception. Trends in Neurosciences, v. 31, n. 11, 591-598.
2007pdf-icon-1A. Stemme, G. Deco, and A. Busch 2007, The neurodynamics underlying attentional control in set shifting tasks. Cognitive Neurodynamics, Vol. 1, Num. 3, pp 249-259.
pdf-icon-1M. Loh, E. Rolls, and G. Deco 2007, A dynamical systems hypothesis of schizophrenia. PLoS Computational Biology, V. 3, n. 11, e228.
G. Deco and D. Martí 2007, Extended method of moments for deterministic analysis of stochastic multistable neurodynamical systems. Physical Review E, 75, 031913.
pdf-icon-1J. Jehee, P. Roelfsema, G. Deco, J. Murre, V. Lamme 2007, Interactions between higher and lower visual areas improve shape selectivity of higher level neurons-explaining crowding phenomena. Brain Research, 1157, 167-176.
pdf-icon-1A. Stemme, G. Deco and A. Busch 2007, The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of Computational Neuroscience, v. 23, 313-331.
pdf-icon-1Deco, Gustavo; Perez-Sanagustin, Mar; de Lafuente, Victor; Romo, Ranulfo 2007, Perceptual detection as a dynamical bistability phenomenon: a neurocomputational correlate of sensation. Proceedings of the National Academy of Sciences of the United States Of America, 104, 50, 20073-20077.
pdf-icon-1G. Deco and D. Heinke 2007, Attention and spatial resolution: a theoretical and experimental study of visual search in hierarchical patterns. Perception, 36, 335-354.
pdf-icon-1G. Deco and D. Martí 2007, Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems. Biological Cybernetics, 96, 487-496.
pdf-icon-1A. Ledberg, S. Bressler, M. Ding, R. Coppola, R. Nakamura 2007, Large-Scale Visuomotor Integration in the Cerebral Cortex. Cerebral Cortex, 17, 1, pp 44-62.
pdf-icon-1T. Kreuz, F. Mormann, R. Andrzejak, A. Kraskov, K. Lehnertz, P. Grassberger 2007, Measuring synchronization in coupled model systems: A comparison of different approaches. Physica D: Nonlinear Phenomena, 225, 1, 29 - 42.
pdf-icon-1H. Riecke, A. Roxin, S. Madruga, S. Solla 2007, Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons. Chaos 17, 026110.
pdf-icon-1F. Mormann, R. Andrzejak, C. Elger, K. Lehnertz 2007, Seizure prediction: the long and winding road. Brain 314-333.
pdf-icon-1M. Loh, E. Rolls, G. Deco 2007, Statistical Fluctuations in Attractor Networks Related to Schizophrenia. Pharmacopsychiatry, 40: S78-S84.
pdf-icon-1E. Mavritsaki, D. Heinke, G. Humphreys, and G. Deco 2007, Suppressive effects in visual search: A neurocomputational analysis of preview search. Neurocomputing, 70, 1925-1931.
pdf-icon-1G. Deco, L. Scarano and S. Soto-Faraco 2007, Weber's Law in Decision Making: Integrating Behavioral Data in Humans with a Neurophysiological Model. Journal of Neuroscience, 27 (42): 11192-11200.
2006pdf-icon-1E. Rolls and G. Deco 2006, Attention in natural scenes: Neurophysiological and computational bases. Neural Networks, 19, 1383-1394.
E. Montbrió, D. Pazó, G. Schmidt 2006, Time delay in the Kuramoto model with bimodal frequency distribution. Phys. Rev. E 74, 056201
D. Pazó, E. Montbrió 2006, Universal behavior in populations composed of excitable and self-oscillatory elements. Phys. Rev. E 73, 055202(R)
Deco, G. 2006, A dynamical model of event-related FMRI signals in prefrontal cortex: predictions for schizophrenia. Pharmacopsychiatry, 39 Suppl 1, S65-S67.
pdf-icon-1G. Deco and E. Rolls 2006, Decision-making and Weber's law: a neurophysiological model. European Journal of Neuroscience, 24, 901-916.
pdf-icon-1R. G. Andrzejak, A. Ledberg and G. Deco 2006, Detecting event-related time-dependent directional couplings. New Journal of Physics, 8 (2006) 6.
pdf-icon-1M. Szabo, G. Deco, S. Fusi, P. Del Giudice, M. Mattia, and M. Stetter 2006, Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biological Cybernetics, 94, 351-365.
pdf-icon-1F. Koepke, M. Loh, A. Costa, and G. Deco 2006, Neurodynamical approach to the picture-word interference effect. Neurocomputing, 69, 1317-1321.
Gustavo Deco and Josef Zihl 2006, The neurodynamics of visual search. Visual Cognition, 14, 1006-1024.
pdf-icon-1D. Martí, G. Deco, P. Del Giudice, and M. Mattia 2006, Reward biased probabilistic decision-making: Mean-field predictions and spiking simulations.
2005pdf-icon-1G. Deco, A. Ledberg, R. Almeida, and J. Fuster 2005, Neural dynamics of cross-modal and cross-temporal associations. Experimental Brain Research, 166, 325-336.
pdf-icon-1A. Stemme, G. Deco, A. Busch, and W. Schneider 2005, Neurons and the synaptic basis of the fMRI signal associated with cognitive flexibility. NeuroImage, 26,454-470.
pdf-icon-1G. Deco and E. Rolls 2005,Attention, short-term memory, and action selection: a unifying theory. Progress in Neurobiology, 76, 236-256.
pdf-icon-1G. Deco and E. Rolls 2005, Neurodynamics of biased competition and cooperation for attention: a model with spiking neurons. Journal of Neurophysiology, 94,295-313.
pdf-icon-1G. Deco and E. Rolls 2005, Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. Cerebral Cortex, 15,15-30.
G. Deco and E. Rolls 2005, Sequential memory: a putative neural and synaptic dynamical mechanism. Journal of Cognitive Neuroscience, 2,17,294-307.
pdf-icon-1Marco Loh and Gustavo Deco 2005, Cognitive flexibility and decision-making in a model of conditional visuomotor associations. European Journal of Neuroscience, 22, 2927-2936.
pdf-icon-1G. Deco 2005, The Computational Neuroscience of Visual Cognition: Attention, Memory and Reward. in L. Paletta, J. Tsotsos, J. Rome, and G. Humphreys (eds), Attention and Performance in Computational Vision
Lecture Notes in Computer Science, Springer Verlag .
pdf-icon-1M. Szabo, R. Almeida, G. Deco and M. Stetter 2005, A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing, 65-66,195-201.
2004pdf-icon-1G. Deco and J. Zihl 2004, A biased competition based neurodynamical model of visual neglect. Medical Engineering and Physics, 26,733-743.
pdf-icon-1R. Almeida, G. Deco, and M. Stetter 2004, Modular biased-competition and cooperation: a candidate mechanism for selective working memory. European Journal of Neuroscience, 20,2789-2803.
pdf-icon-1G. Deco, E. Rolls, and B. Horwitz 2004, "What" and "where" in visual working memory: a computational neurodynamical perspective for integrating FMRI and single-neuron data. Journal of Cognitive Neuroscience, 16,683-701.
pdf-icon-1G. Deco and E. Rolls 2004, A neurodynamical cortical model of visual attention and invariant object recognition. Vision Research, 44,621-642.
pdf-icon-1S. Corchs and G. Deco 2004, Feature based attention in human visual cortex: simulation of fMRI data. NeuroImage, 21,36-45.
pdf-icon-1G. Deco and T.S. Lee 2004, The role of early visual cortex in visual integration: a neural model of recurrent interaction. European Journal of Neuroscience, 20,1089-1100.
pdf-icon-1M. Szabo, R. Almeida, G. Deco and M. Stetter 2004, Cooperation and biased competition model can explain attentional filtering in the prefrontal cortex. European Journal of Neuroscience, 19,1969-1977.
pdf-icon-1G. Deco, E. Rolls, and B. Horwitz 2004, Integrating fMRI and single-cell data of visual working memory. Neurocomputing, 58-60,729-737.
2003pdf-icon-1G. Deco and E. Rolls 2003, Attention and working memory: a dynamical model of neuronal activity in the prefrontal cortex. European Journal of Neuroscience, 18,2374-2390.
pdf-icon-1M. Stetter, G. Deco and M. Dejori 2003, Large-Scale Computational Modeling of Genetic Regulatory Networks. Artifitial Intelligence Review, 20,75-93.
pdf-icon-1S. Corchs, M. Stetter, G. Deco 2003, Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artifitial Intelligence Review, 20, 143–160

Other publications

Year Publications
2015Reference Module in Neuroscience and Biobehavioral Psychology: Brain MappingPonce-Alvarez A. and Deco G. 2015, Chapter book: The Emergence of Spontaneous and Evoked Functional Connectivity in a Large-Scale Model of the Brain in Arthur Toga (eds), Brain Mapping: An Encyclopedic Reference, Academic Press: Elsevier, vol. 1, pp 571-579.
Encyclopedia  of  Computational Neuroscience Joana Cabral, Gustavo Deco Chapter book: Models of Spontaneous Activity.
Encyclopedia of Computational Neuroscience. Eds.: Jaeger, D. and Jung, R., Springer New York, pp 2854-2858, 2015
2013Principles of  Neural  Coding Timothée Masquelier, Gustavo Deco Chapter book: Learning and Coding in Neural Networks. Principles of Neural Coding (Wiley-VCH, Reviews of Nonlinear Dynamics and Complexity). Edited Rodrigo Quian Quiroga and Stefano Panzeri, 2013.
Multiscale Analysis and Nonlinear DynamicsE. Hugues, J. Vidal, JP Lachaux, and, Gustavo Deco Chapter book: Brain Dynamics at Rest: How Structure Shapes Dynamic. Multiscale Analysis and Nonlinear Dynamics (CRC Press, Taylor and Francis Group). Edited by Misha (Meyer) Z. Pesenson, 2013.
2012Principles  of  Brain  DynamicsGustavo Deco, Viktor Jirsa, and Karl J. Friston Chapter book: The Dynamical and Structural Basis of Brain Activity. Principles of Brain Dynamics (MIT Press, Cambridge, Mass. USA). Edited by M. Rabinovich, K. Friston, and P. Varona, 2012.
2010Gustavo Deco, M. Loh, E. Rolls. Chapter book: Local Cortical Dynamics Related to Mental Illnesses. In Systems Biology in Psychiatric Research: From High-Throughput Data to Mathematical Modeling. Felix Tretter, Peter J. Gebicke-Haerter, Eduardo R. Mendoza, Georg Winterer. Wiley-VCH.pp. 321-340, 2010.
Coherent Behavior in Neuronal NetworksGustavo Deco, R. Romo. Chapter book: Stochastic Neural Dynamics as a Principle of Perception. Coherent Behavior in Neuronal Networks (Springer Series in Computational Neuroscience). K. Josic, J. Rubin, M. Matias and R. Romo. Springer Verlag.pp 247-262, 2010
2009Computational   Modelling   in   Behavioural NeuroscienceGustavo Deco, E. Rolls. Chapter book: Stochastic Neurodynamical Computation of Brain Functions. Computational Modelling in Behavioural Neuroscience: Closing the Gap Between Neurophysiology and Behaviour. D. Heinke, E. Mavritsaki. Psychology Press, 2009.
Creating  Brain-Like  IntelligenceGustavo Deco, E. Rolls. Chapter book: Stochastic Dynamics in the Brain and Probabilistic Decision-making. Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Bernhard Sendhoff, Edgar Koerner, Olaf Sporns, Helge Ritter and Kenji Doya. Springer Verlag, pp. 31-50, 2009
Encyclopedia   of NeurosciencesGustavo Deco, E. Rolls. Chapter book: Vision - Computational Approache. Encyclopedia of Neurosciences. M. Binder, N. Hirokawa, U. Windhorst. Springer Verlag. Vol. 5, pp 4291-4295, 2009.
2008Visual MemoryGustavo Deco, E. Rolls. Chapter book: Neural Mechanisms of Visual Memory: A Neurocomputational Perspective. Visual Memory. S. Luck, A. Hollingworth. Oxford University Press.ISBN:978-0-19-530548-7, 2008.
Handbook  of  Cognitive  ScienceA. Stemme, Gustavo Deco. Chapter book: Neuronal and Cortical Dynamical Mechanisms Underlying Brain Functions. Handbook of Cognitive Science: An Embodied Approach. P. Calvo and T. Gomila. Elsevier. Chapter 12, pp. 221-240, 2008.
Lecture  Notes in  Artificial  Intelligence  4840E. Mavritsaki, D. Heinke, G. Humphreys, Gustavo Deco. Chapter book: The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search. Lecture Notes in Artificial Intelligence 4840: Attention in Cognitive Systems, Eds.: L. Paletta, E. Rome, pp. 343-356, Springer, Germany, 2008.
2007Cooperative Behavior  in  Neural  Systems Gustavo Deco, E. Rolls. Chapter book: Decision-Making Mechanisms in the Brain. Cooperative Behavior in Neural Systems (American Institute of Physics Conference Proceedings, 887), Eds.: P. Garrido, J. Marro, and J. Torres, pp. 21-28, AIP, USA, 2007.
Decision-Making  Mechanisms  in  the  Brain Gustavo Deco, M. Stetter, M. Szabo. Chapter book: Biased Competition and Cooperation: A Mechanism of Mammalian Visual Recognition. Object Recognition, Attention, and Action, Eds.: N. Osaka, I. Rentschler, and I. Biederman, pp. 187-203, Springer, Japan, 2007.
Intelligent Computing Everywhere Gustavo Deco, E.Rolls. Chapter book: Computational Neuroscience and Cognitive Brain Functions. Intelligent Computing Everywhere, Eds.: A. Schuster, pp. 153-170, Springer, London, 2007.
2005Neurobiology  of  Attention Gustavo Deco, E. Rolls, J. Zihl . Chapter book: A Neurodynamical Model of Visual Attention. Neurobiology of Attention, Eds.: L. Itti, G. Rees, and J. Tsotsos, Chapter 97, pp. 593-599, Elsevier, Oxford, 2005.
Neurobiology  of  Attention Gustavo Deco, E. Rolls . Chapter book: The Role of Short Term Memory in Visual Attention. Neurobiology of Attention, Eds.: L. Itti, G. Rees, and J. Tsotsos, Chapter 97, pp. 593-599, Elsevier, Oxford, 2005.
Attention and Performance in Computational Vision Gustavo Deco. Chapter book: he Computational Neuroscience of Visual Cognition: Attention, Memory, and Reward. . Attention and Performance in Computational Vision, Eds.: L. Paletta, J. Tsotsos, J. Rome, and G. Humphreys, Lecture Notes in Computer Science, Springer-Verlag, Heidelberg, v. 3368, p.100, 2005.
2004  Artifitial  Intelligence  Methods  <br />
and  Tools  for  Systems  Biology M. Loh, M. Szabo, R. Almeida, M. Stetter, Gustavo Deco . Chapter book: Computational Neuroscience for Cognitive Brain Function. Artifitial Intelligence Methods and Tools for Systems Biology, Eds.: W. Dubitzky, and F. Azuaje, Reihe: Computational Biology, 5, 2004.
Gustavo Deco, R. Almeida, M. Loh, M. Szabo, and M. Stetter . Chapter book: A Theoretical Framework for the Cortical Dynamics Underlying Cognitive Brain Function Recent Research Developments in Physics, vol 5, 995-1031, Transworld Research Network, India, 2004.
2001 Computational  Architectures Based  on  NeuroscienceEdmund T. Rolls, Gustavo Deco. Chapter book: Biased Competition Mechanisms for Visual Attention. Computational Architectures Based on Neuroscience, Eds.: S. Wermter, J. Austin, and D. Willshaw, Springer, Heidelberg, 2001.
2000Advances  in  <br />
Neural Information Processing 12 Gustavo Deco, J. Zihl. Chapter book: A Neurodynamical Approach to Visual Attention. Advances in Neural Information Processing 12, Eds.: K. Müller, MIT Press, Cambridge, 10-16, 2000.
Artificial  Neural  Ne<br />
tworks  in  Biomedicine R. Silipo, G. Deco, H. Bartsch. Chapter book: Rest EEG Hidden Structure as a Discriminant for Brain Tumor Classification. Artificial Neural Networks in Biomedicine, Springer-Verlag, pp. 169-180, 2000.
1999Connectionist Models in Cognitive Neuroscience Gustavo Deco, J. Zihl. Chapter book: A Neuronal Model of Binding and Selective Attention for Visual Search. Connectionist Models in Cognitive Neuroscience, Eds.: D. Heinke, G. Humphreys, A. Olson, Springer-Verlag, 262-271, 1999.
1998Neural Network Systems Techniques and Applications Gustavo Deco. Chapter book: Informationdynamics and Neural Techniques for Data Analysis. Advances in Control and Dynamic Systems, Neural Network Systems Techniques and Applications, Ed.: Leondes, Academic Press, 305-351, 1998.
1997Decision   Technologies   for   Financial   <br />
Engineering G. Deco, R. Neuneier and B. Schürmann. Chapter book: Modeling of Nonstationary Financial Time Series by Nonparametric Data Selection. Decision Technologies for Financial Engineering, Eds.: A. Weigend, Y. Abu-Mostafa and A. Refenes, World Scientific, Singapore, 307-317, 1997.
Foundations  of  Computer  Science:  Potential-Theory-Cognition G. Deco, C. Schittenkopf. Chapter book: Neural Network Based Testing of Nonlinear Markovian Hypotheses in Dynamical Systems. Foundations of Computer Science: Potential-Theory-Cognition, Lecture Notes in Computer Science, 1337, 481-488, 1997.
chapter_book_26 G. Deco, B. Schürmann. Chapter book: Inherent Information Flow in Chaotic Sy
stems.
Self-Organization of Complex Structures: From Individuals to Collective Dynamics, Eds.: F. Schweizer and H. Haken, Gordon and Breach Science Publishers, United Kingdom, 51-57, 1997.