Gustavo Deco

According to our database1, Gustavo Deco authored at least 142 papers between 1993 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Low entropy map of brain oscillatory activity identifies spatially localized events: A new method for automated epilepsy focus prediction.
NeuroImage, 2020

Lifespan associated global patterns of coherent neural communication.
NeuroImage, 2020

Modeling regional changes in dynamic stability during sleep and wakefulness.
NeuroImage, 2020

Editorial: The Embodied Brain: Computational Mechanisms of Integrated Sensorimotor Interactions With a Dynamic Environment.
Frontiers Comput. Neurosci., 2020

Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model.
NeuroImage, 2019

Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin.
NeuroImage, 2019

Latency analysis of resting-state BOLD-fMRI reveals traveling waves in visual cortex linking task-positive and task-negative networks.
NeuroImage, 2019

Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability.
NeuroImage, 2019

Distinct modes of functional connectivity induced by movie-watching.
NeuroImage, 2019

Does Bilingualism Alter Lexical Structure? Response to Oppenheim, Wu, and Thierry (2018).
Cogn. Sci., 2019

Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity.
NeuroImage, 2018

Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography.
NeuroImage, 2018

Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance.
NeuroImage, 2018

Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions.
NeuroImage, 2018

Perturbation of whole-brain dynamics in silico reveals mechanistic differences between brain states.
NeuroImage, 2018

Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two?
NeuroImage, 2018

Distinct criticality of phase and amplitude dynamics in the resting brain.
NeuroImage, 2018

The dynamics of human cognition: Increasing global integration coupled with decreasing segregation found using iEEG.
NeuroImage, 2018

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour.
CoRR, 2018

Corrigendum for: Do bilinguals automatically activate their native language when they are not using it?
Cogn. Sci., 2018

Multiple Choice Neurodynamical Model of the Uncertain Option Task.
PLoS Computational Biology, 2017

Spontaneous cortical activity is transiently poised close to criticality.
PLoS Computational Biology, 2017

Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior.
NeuroImage, 2017

Resting-state fMRI correlations: From link-wise unreliability to whole brain stability.
NeuroImage, 2017

Resting state networks in empirical and simulated dynamic functional connectivity.
NeuroImage, 2017

The most relevant human brain regions for functional connectivity: Evidence for a dynamical workspace of binding nodes from whole-brain computational modelling.
NeuroImage, 2017

Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data.
NeuroImage, 2017

Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms.
NeuroImage, 2017

Do Bilinguals Automatically Activate Their Native Language When They Are Not Using It?
Cogn. Sci., 2017

Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study.
Brain Connect., 2017

Time-Resolved Resting-State Functional Magnetic Resonance Imaging Analysis: Current Status, Challenges, and New Directions.
Brain Connect., 2017

Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.
PLoS Computational Biology, 2016

Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account.
NeuroImage, 2016

Corrigendum to "Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?" [NeuroImage 127 (2016) 242-256].
NeuroImage, 2016

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
NeuroImage, 2016

Task-Driven Activity Reduces the Cortical Activity Space of the Brain: Experiment and Whole-Brain Modeling.
PLoS Computational Biology, 2015

Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity.
PLoS Computational Biology, 2015

The Encoding of Decision Difficulty and Movement Time in the Primate Premotor Cortex.
PLoS Computational Biology, 2015

Network Events on Multiple Space and Time Scales in Cultured Neural Networks and in a Stochastic Rate Model.
PLoS Computational Biology, 2015

Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex.
NeuroImage, 2015

Functional connectivity dynamics: Modeling the switching behavior of the resting state.
NeuroImage, 2015

Gradual emergence of spontaneous correlated brain activity during fading of general anesthesia in rats: Evidences from fMRI and local field potentials.
NeuroImage, 2015

Multiscale Brain Connectivity.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spontaneous Activity, Models of.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Structure-Function Discrepancy: Inhomogeneity and Delays in Synchronized Neural Networks.
PLoS Computational Biology, 2014

The Influence of Spatiotemporal Structure of Noisy Stimuli in Decision Making.
PLoS Computational Biology, 2014

Rich club organization supports a diverse set of functional network configurations.
NeuroImage, 2014

How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest.
NeuroImage, 2014

Intra-cortical propagation of EEG alpha oscillations.
NeuroImage, 2014

Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations.
NeuroImage, 2014

Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction.
Frontiers Neuroinformatics, 2014

Using the Virtual Brain to Reveal the Role of Oscillations and Plasticity in Shaping Brain's Dynamical Landscape.
Brain Connect., 2014

Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging.
NeuroImage, 2013

Multi-stable perception balances stability and sensitivity.
Frontiers Comput. Neurosci., 2013

Neural Network Mechanisms Underlying Stimulus Driven Variability Reduction.
PLoS Computational Biology, 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, 2012

Modeling the outcome of structural disconnection on resting-state functional connectivity.
NeuroImage, 2012

Perception and self-organized instability.
Frontiers Comput. Neurosci., 2012

How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model.
Frontiers Comput. Neurosci., 2012

Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex.
Frontiers Comput. Neurosci., 2012

Changes of Mind in an Attractor Network of Decision-Making.
PLoS Computational Biology, 2011

Role of local network oscillations in resting-state functional connectivity.
NeuroImage, 2011

Optimal Information Transfer in the Cortex through Synchronization.
PLoS Computational Biology, 2010

Choice, difficulty, and confidence in the brain.
NeuroImage, 2010

The role of multi-area interactions for the computation of apparent motion.
NeuroImage, 2010

Computational models of the brain: From structure to function.
NeuroImage, 2010

Audiovisual Matching in Speech and Nonspeech Sounds: A Neurodynamical Model.
J. Cogn. Neurosci., 2010

Stochastic Dynamics in the Brain and Probabilistic Decision-Making.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Effective Reduced Diffusion-Models: A Data Driven Approach to the Analysis of Neuronal Dynamics.
PLoS Computational Biology, 2009

Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme Categories: II. Experimental Evidence.
J. Cogn. Neurosci., 2009

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields.
PLoS Computational Biology, 2008

The Brain Connectivity Workshops: Moving the frontiers of computational systems neuroscience.
NeuroImage, 2008

Neurodynamics of the Prefrontal Cortex during Conditional Visuomotor Associations.
J. Cogn. Neurosci., 2008

Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme Categories: I. Neurodynamical Modeling.
J. Cogn. Neurosci., 2008

50 years of artificial intelligence: A neuronal approach.
Neurocomputing, 2008

A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

A Dynamical Systems Hypothesis of Schizophrenia.
PLoS Computational Biology, 2007

The neuronal dynamics underlying cognitive flexibility in set shifting tasks.
Journal of Computational Neuroscience, 2007

Suppressive effects in visual search: A neurocomputational analysis of preview search.
Neurocomputing, 2007

Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems.
Biological Cybernetics, 2007

The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Attention in natural scenes: Neurophysiological and computational bases.
Neural Networks, 2006

Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations.
Neurocomputing, 2006

Neurodynamical approach to the picture-word interference effect.
Neurocomputing, 2006

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task.
Biological Cybernetics, 2006

Neurons and the synaptic basis of the fMRI signal associated with cognitive flexibility.
NeuroImage, 2005

Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism.
J. Cogn. Neurosci., 2005

A neuronal model for the shaping of feature selectivity in IT by visual categorization.
Neurocomputing, 2005

Computational Neuroscience for Cognitive Brain Functions.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004

Feature-based attention in human visual cortex: simulation of fMRI data.
NeuroImage, 2004

Integrating fMRI and single-cell data of visual working memory.
Neurocomputing, 2004

The Computational Neuroscience ofVisual Cognition: Attention, Memory and Reward.
Proceedings of the Attention and Performance in Computational Vision, 2004

Large-Scale Computational Modeling of Genetic Regulatory Networks.
Artif. Intell. Rev., 2003

Systems-Level Neuronal Modeling of Visual Attentional Mechanisms.
Artif. Intell. Rev., 2003

Speech recognition with spiking neurons and dynamic synapses: a model motivated by the human auditory pathway.
Neurocomputing, 2002

A model of binocular rivalry based on competition in IT.
Neurocomputing, 2002

A computational neuroscience account of visual neglect.
Neurocomputing, 2002

A unified model of spatial and object attention based on inter-cortical biased competition.
Neurocomputing, 2002

A neurodynamical model to simulate neural activities in visual attention experiments.
Neurocomputing, 2002

A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data.
Proceedings of the Artificial Neural Networks, 2002

Computational neuroscience of vision.
Clarendon Press, ISBN: 978-0-19-852488-5, 2002

Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields.
Neural Processing Letters, 2001

Temporal clustering with spiking neurons and dynamic synapses: towards technological applications.
Neural Networks, 2001

A neurodynamical model for selective visual attention using oscillators.
Neural Networks, 2001

A Neurodynamical Model of Visual Attention: Feedback Enhancement of Spatial Resolution in a Hierarchical System.
Journal of Computational Neuroscience, 2001

Learning spatio-temporal stimuli with networks of spiking neurons and dynamic synapses.
Neurocomputing, 2001

Selective attention in visual search: A neural network of phase oscillators.
Neurocomputing, 2001

Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Simultaneous Parallel Processing of Object and Position by Temporal Correlation.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies.
Neural Computation, 2000

Neurodynamical mechanism of binding and selective attention for visual search.
Neurocomputing, 2000

Rest EEG Hidden Dynamics as a Discriminant for Brain Tumour Classification.
Proceedings of the Artificial Neural Networks in Biomedicine, 2000

Information dynamics - foundations and applications.
Springer, ISBN: 978-0-387-95047-1, 2000

Spatiotemporal Coding in the Cortex: Information Flow-Based Learning in Spiking Neural Networks.
Neural Computation, 1999

Brain tumor classification based on EEG hidden dynamics.
Intell. Data Anal., 1999

A Neurodynamical Approach to Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Information Maximization and Independent Component Analysis: Is There a Difference?
Neural Computation, 1998

Dynamics extraction in multivariate biomedical time series.
Biological Cybernetics, 1998

Two Strategies to Avoid Overfitting in Feedforward Networks.
Neural Networks, 1997

Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network.
Neural Networks, 1997

Non-parametric Data Selection for Neural Learning in Non-stationary Time Series.
Neural Networks, 1997

Finit Automata-Models for the Investigation of Dynamical Systems.
Inf. Process. Lett., 1997

Unsupervised learning for blind source separation: an information-theoretic approach.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Nonlinear Modelling of the Daily Heart Rhythm.
Proceedings of the Artificial Neural Networks, 1997

An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central Neurons.
Proceedings of the Artificial Neural Networks, 1997

Detecting non-linear dynamics in financial time series.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

A Nonlinear Markovian Characterization of Time Series Using Neural Networks.
Proceedings of the Foundations of Computer Science: Potential - Theory, 1997

Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps.
Neural Computation, 1996

An information theory based learning paradigm for linear feature extraction.
Neurocomputing, 1996

Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

An Information Theoretic Measure for the Classification of Time Series.
Proceedings of the Artificial Neural Networks, 1996

Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method.
Proceedings of the Artificial Neural Networks, 1996

An information-theoretic approach to neural computing.
Perspectives in neural computing, Springer, ISBN: 978-0-387-94666-5, 1996

Neural learning of chaotic dynamics.
Neural Processing Letters, 1995

Continuous Boltzmann machine with rotor neurons.
Neural Networks, 1995

Linear redundancy reduction learning.
Neural Networks, 1995

Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures.
Neural Networks, 1995

Decorrelated Hebbian Learning for Clustering and Function Approximation.
Neural Computation, 1995

Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks.
Neural Computation, 1995

Higher Order Statistical Decorrelation without Information Loss.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Coarse Coding Resource-Allocating Network.
Neural Computation, 1993

Application of Neural Networks in Pulp Production.
Proceedings of the Grundlagen und Anwendungen der Künstlichen Intelligenz, 1993