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Gustavo Deco

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2008
52EEJ. P. Larsson, Fátima Vera Constán, Núria Sebastián-Gallés, Gustavo Deco: Lexical Plasticity in Early Bilinguals Does Not Alter Phoneme Categories: I. Neurodynamical Modeling. J. Cognitive Neuroscience 20(1): 76-94 (2008)
51EEMarco Loh, Anitha Pasupathy, Earl K. Miller, Gustavo Deco: Neurodynamics of the Prefrontal Cortex during Conditional Visuomotor Associations. J. Cognitive Neuroscience 20(3): 421-431 (2008)
50EEAntonio Fernández-Caballero, José Mira, Gustavo Deco: 50 years of artificial intelligence: A neuronal approach. Neurocomputing 71(4-6): 667-669 (2008)
2007
49EEEirini Mavritsaki, Dietmar Heinke, Glyn W. Humphreys, Gustavo Deco: The Spiking Search over Time and Space Model (sSoTS): Simulating Dual Task Experiments and the Temporal Dynamics of Preview Search. WAPCV 2007: 338-351
48EEGustavo Deco, Daniel Martí: Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems. Biological Cybernetics 96(5): 487-496 (2007)
47EEAnja Stemme, Gustavo Deco, Astrid Busch: The neuronal dynamics underlying cognitive flexibility in set shifting tasks. Journal of Computational Neuroscience 23(3): 313-331 (2007)
46EEEirini Mavritsaki, Dietmar Heinke, Glyn W. Humphreys, Gustavo Deco: Suppressive effects in visual search: A neurocomputational analysis of preview search. Neurocomputing 70(10-12): 1925-1931 (2007)
2006
45EEMiruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia: Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biological Cybernetics 94(5): 351-365 (2006)
44EEEdmund T. Rolls, Gustavo Deco: Attention in natural scenes: Neurophysiological and computational bases. Neural Networks 19(9): 1383-1394 (2006)
43EEDaniel Martí, Gustavo Deco, Paolo Del Giudice, Maurizio Mattia: Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations. Neurocomputing 69(10-12): 1175-1178 (2006)
42EEFranziska Koepke, Marco Loh, Albert Costa, Gustavo Deco: Neurodynamical approach to the picture-word interference effect. Neurocomputing 69(10-12): 1317-1321 (2006)
2005
41EEMiruna Szabo, R. Almeida, Gustavo Deco, Martin Stetter: A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing 65-66: 195-201 (2005)
2004
40EEGustavo Deco: The Computational Neuroscience ofVisual Cognition: Attention, Memory and Reward. WAPCV 2004: 100-117
39EEGustavo Deco, Bernd Schürmann: Information Dynamics: Foundations and Applications. J. Artificial Societies and Social Simulation 7(1): (2004)
2003
38EESilvia Corchs, Martin Stetter, Gustavo Deco: Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artif. Intell. Rev. 20(1-2): 143-160 (2003)
37EEMartin Stetter, Gustavo Deco, Mathäus Dejori: Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. 20(1-2): 75-93 (2003)
2002
36EEGustavo Deco, Edmund T. Rolls: A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data. ICANN 2002: 3-8
35EELuis F. Lago-Fernández, Gustavo Deco: A model of binocular rivalry based on competition in IT. Neurocomputing 44-46: 503-507 (2002)
34EESilvia Corchs, Gustavo Deco: A neurodynamical model to simulate neural activities in visual attention experiments. Neurocomputing 44-46: 759-767 (2002)
33EEGustavo Deco, Tai Sing Lee: A unified model of spatial and object attention based on inter-cortical biased competition. Neurocomputing 44-46: 775-781 (2002)
32EEDietmar Heinke, Gustavo Deco, Josef Zihl, Glyn W. Humphreys: A computational neuroscience account of visual neglect. Neurocomputing 44-46: 811-816 (2002)
31EEChristian Näger, Jan Storck, Gustavo Deco: Speech recognition with spiking neurons and dynamic synapses: a model motivated by the human auditory pathway. Neurocomputing 44-46: 937-942 (2002)
2001
30EEGustavo Deco: Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System. Emergent Neural Computational Architectures Based on Neuroscience 2001: 114-126
29EELuis F. Lago-Fernández, Gustavo Deco: Simultaneous Parallel Processing of Object and Position by Temporal Correlation. IWANN (2) 2001: 64-71
28 Gustavo Deco, Josef Zihl: A Neurodynamical Model of Visual Attention: Feedback Enhancement of Spatial Resolution in a Hierarchical System. Journal of Computational Neuroscience 10(3): 231-253 (2001)
27EEJan Storck, Frank Jäkel, Gustavo Deco: Temporal clustering with spiking neurons and dynamic synapses: towards technological applications. Neural Networks 14(3): 275-285 (2001)
26EESilvia Corchs, Gustavo Deco: A neurodynamical model for selective visual attention using oscillators. Neural Networks 14(8): 981-990 (2001)
25 Gustavo Deco, Bernd Schürmann: Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields. Neural Processing Letters 14(2): 107-114 (2001)
24EESilvia Corchs, Gustavo Deco: Selective attention in visual search: A neural network of phase oscillators. Neurocomputing 38-40: 1151-1160 (2001)
23EEJan Storck, Frank Jäkel, Gustavo Deco: Learning spatio-temporal stimuli with networks of spiking neurons and dynamic synapses. Neurocomputing 38-40: 935-943 (2001)
2000
22 Laura Martignon, Gustavo Deco, Kathryn B. Laskey, Mathew E. Diamond, Winrich Freiwald, Eilon Vaadia: Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies. Neural Computation 12(11): 2621-2653 (2000)
21EEGustavo Deco, Josef Zihl: Neurodynamical mechanism of binding and selective attention for visual search. Neurocomputing 32-33: 693-699 (2000)
1999
20EEGustavo Deco, Josef Zihl: A Neurodynamical Approach to Visual Attention. NIPS 1999: 10-16
19EERosaria Silipo, Gustavo Deco, Helmut Bartsch: Brain tumor classification based on EEG hidden dynamics. Intell. Data Anal. 3(4): 287-306 (1999)
18 Gustavo Deco, Bernd Schürmann: Spatiotemporal Coding in the Cortex: Information Flow-Based Learning in Spiking Neural Networks. Neural Computation 11(4): 919-934 (1999)
1998
17 Dragan Obradovic, Gustavo Deco: Information Maximization and Independent Component Analysis: Is There a Difference? Neural Computation 10(8): 2085-2101 (1998)
1997
16EEChristian Schittenkopf, Gustavo Deco: A Nonlinear Markovian Characterization of Time Series Using Neural Networks. Foundations of Computer Science: Potential - Theory - Cognition 1997: 481-488
15 Rosaria Silipo, Gustavo Deco, Rossano Vergassola, Christian Schittenkopf, Celio Gremigni: Nonlinear Modelling of the Daily Heart Rhythm. ICANN 1997: 1083-1088
14 Gustavo Deco, Bernd Schürmann: An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central Neurons. ICANN 1997: 73-78
13EEChristian Schittenkopf, Gustavo Deco, Wilfried Brauer: Finit Automata-Models for the Investigation of Dynamical Systems. Inf. Process. Lett. 63(3): 137-141 (1997)
12EEGustavo Deco, Ralph Neuneier, Bernd Schürmann: Non-parametric Data Selection for Neural Learning in Non-stationary Time Series. Neural Networks 10(3): 401-407 (1997)
11EEChristian Schittenkopf, Gustavo Deco, Wilfried Brauer: Two Strategies to Avoid Overfitting in Feedforward Networks. Neural Networks 10(3): 505-516 (1997)
10EEGustavo Deco, Lucas C. Parra: Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. Neural Networks 10(4): 683-691 (1997)
1996
9 Gustavo Deco, Bernd Schürmann: Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method. ICANN 1996: 121-126
8 Christian Schittenkopf, Gustavo Deco: An Information Theoretic Measure for the Classification of Time Series. ICANN 1996: 773-778
7EELaura Martignon, Kathryn B. Laskey, Gustavo Deco, Eilon Vaadia: Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings. NIPS 1996: 76-82
6EEDragan Obradovic, Gustavo Deco: An information theory based learning paradigm for linear feature extraction. Neurocomputing 12(2-3): 203-221 (1996)
1995
5EELucas C. Parra, Gustavo Deco: Continuous Boltzmann machine with rotor neurons. Neural Networks 8(3): 375-385 (1995)
4EEGustavo Deco, Wilfried Brauer: Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures. Neural Networks 8(4): 525-535 (1995)
3EEGustavo Deco, Dragan Obradovic: Linear redundancy reduction learning. Neural Networks 8(5): 751-755 (1995)
1994
2EEGustavo Deco, Wilfried Brauer: Higher Order Statistical Decorrelation without Information Loss. NIPS 1994: 247-254
1993
1 Dragan Obradovic, Gustavo Deco, Herbert Furumoto, C. Fricke: Application of Neural Networks in Pulp Production. KI 1993: 376-383

Coauthor Index

1R. Almeida [41]
2Helmut Bartsch [19]
3Wilfried Brauer [2] [4] [11] [13]
4Astrid Busch [47]
5Fátima Vera Constán [52]
6Silvia Corchs [24] [26] [34] [38]
7Albert Costa [42]
8Mathäus Dejori [37]
9Mathew E. Diamond [22]
10Antonio Fernández-Caballero [50]
11Winrich Freiwald [22]
12C. Fricke [1]
13Herbert Furumoto [1]
14Stefano Fusi [45]
15Paolo Del Giudice [43] [45]
16Celio Gremigni [15]
17Dietmar Heinke [32] [46] [49]
18Glyn W. Humphreys [32] [46] [49]
19Frank Jäkel [23] [27]
20Franziska Koepke [42]
21Luis F. Lago-Fernández [29] [35]
22J. P. Larsson [52]
23Kathryn B. Laskey [7] [22]
24Tai Sing Lee [33]
25Marco Loh [42] [51]
26Daniel Martí [43] [48]
27Laura Martignon [7] [22]
28Maurizio Mattia [43] [45]
29Eirini Mavritsaki [46] [49]
30Earl K. Miller [51]
31José Mira Mira (José Mira) [50]
32Christian Näger [31]
33Ralph Neuneier [12]
34Dragan Obradovic [1] [3] [6] [17]
35Lucas C. Parra [5] [10]
36Anitha Pasupathy [51]
37Edmund T. Rolls [36] [44]
38Christian Schittenkopf [8] [11] [13] [15] [16]
39Bernd Schürmann [9] [12] [14] [18] [25] [39]
40Núria Sebastián-Gallés [52]
41Rosaria Silipo [15] [19]
42Anja Stemme [47]
43Martin Stetter [37] [38] [41] [45]
44Jan Storck [23] [27] [31]
45Miruna Szabo [41] [45]
46Eilon Vaadia [7] [22]
47Rossano Vergassola [15]
48Josef Zihl [20] [21] [28] [32]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)