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John G. Taylor
2010 – today
- 2012
[j78]- 2011
- [j77]John G. Taylor, Vassilis Cutsuridis: Saliency, Attention, Active Visual Search, and Picture Scanning. Cognitive Computation 3(1): 1-3 (2011)
- [j76]
- [j75]Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang: An excellent year and a transition. Neural Networks 24(1): 1 (2011)
- 2010
- [j74]
- [c53]
- [c52]
- [c51]John G. Taylor: A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j73]John G. Taylor, Matthew Hartley, Neill R. Taylor, Christo Panchev, Stathis Kasderidis: A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning. Image Vision Comput. 27(11): 1641-1657 (2009)
- [j72]Kenji Doya, Stephen Grossberg, John G. Taylor: New action editors join the journal! Five exciting special issues in the works! Neural Networks 22(1): 1 (2009)
- [j71]Vassilis Cutsuridis, Thomas Wennekers, Bruce P. Graham, Imre Vida, John G. Taylor: Microcircuits - Their structure, dynamics and role for brain function. Neural Networks 22(8): 1037-1038 (2009)
- [c50]
- [c49]
- [c48]John G. Taylor, Matthew Hartley: Neural architectures for thinking, reasoning and being conscious. IJCNN 2009: 3104-3110
- 2008
- [j70]Kenji Doya, Stephen Grossberg, John G. Taylor: Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008)
- [c47]Matthew Hartley, Jacqueline Fagard, Rana Esseily, John G. Taylor: Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm. ICANN (2) 2008: 277-289
- [c46]Matthew Hartley, John G. Taylor: Towards a Neural Model of Mental Simulation. ICANN (2) 2008: 969-979
- 2007
- [j69]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, attention and object representations. Integrated Computer-Aided Engineering 14(4): 283-306 (2007)
- [j68]Monika Kiss, Brian A. Goolsby, Jane E. Raymond, Kimron L. Shapiro, Laetitia Silvert, Anna Christina Nobre, Nickolaos F. Fragopanagos, John G. Taylor, Martin Eimer: Efficient Attentional Selection Predicts Distractor Devaluation: Event-related Potential Evidence for a Direct Link between Attention and Emotion. J. Cognitive Neuroscience 19(8): 1316-1322 (2007)
- [j67]Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2007: Another year of exciting special issues! Neural Networks 20(1): 10-11 (2007)
- [j66]John G. Taylor, Walter J. Freeman, Alex Cleeremans: Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007)
- [j65]John G. Taylor: CODAM: A neural network model of consciousness. Neural Networks 20(9): 983-992 (2007)
- [j64]John G. Taylor, Nickolaos F. Fragopanagos: Resolving some confusions over attention and consciousness. Neural Networks 20(9): 993-1003 (2007)
- [j63]
- [j62]
- [c45]Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor: An Attention-Based Architecture for Context Switch Detection. The Disappearing Computer 2007: 205-229
- [c44]Nienke J. H. Korsten, Nickolaos F. Fragopanagos, John G. Taylor: Neural Substructures for Appraisal in Emotion: Self-esteem and Depression. ICANN (2) 2007: 850-858
- [c43]John G. Taylor, Nickolaos F. Fragopanagos: Modelling the N2pc and Its Interaction with Value. ICANN (2) 2007: 879-888
- [c42]Matthew Hartley, John G. Taylor: A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements. ICANN (2) 2007: 899-911
- [c41]
- [c40]
- 2006
- [j61]Nickolaos F. Fragopanagos, John G. Taylor: Modelling the interaction of attention and emotion. Neurocomputing 69(16-18): 1977-1983 (2006)
- [j60]Matthew Hartley, Neill R. Taylor, John G. Taylor: Understanding spike-time-dependent plasticity: A biologically motivated computational model. Neurocomputing 69(16-18): 2005-2016 (2006)
- [j59]John G. Taylor, Anna Christina Nobre, Kimron L. Shapiro: Introduction to the special issue on 'Brain & Attention'. Neural Networks 19(9): 1321-1328 (2006)
- [j58]Neill R. Taylor, Matthew Hartley, John G. Taylor: The micro-structure of attention. Neural Networks 19(9): 1347-1370 (2006)
- [j57]Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor: Attention as a controller. Neural Networks 19(9): 1408-1421 (2006)
- [c39]
- [c38]John G. Taylor: Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. ICANN (1) 2006: 535-542
- [c37]John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten: Modelling Working Memory Through Attentional Mechanisms. ICANN (1) 2006: 553-562
- [c36]John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley: A Basis for Cognitive Machines. ICANN (1) 2006: 573-582
- [c35]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601
- [c34]Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor: A neural model of the enhancement of perception caused by emotional cues. IJCNN 2006: 174-180
- 2005
- [j56]John G. Taylor: Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). Artif. Intell. 169(2): 192-195 (2005)
- [j55]Stephen Grossberg, Mitsuo Kawato, John G. Taylor: A year of exciting Special Issues! Neural Networks 18(1): 13- (2005)
- [j54]John G. Taylor, Klaus R. Scherer, Roddy Cowie: Emotion and brain: Understanding emotions and modelling their recognition. Neural Networks 18(4): 313-316 (2005)
- [j53]John G. Taylor, Nickolaos F. Fragopanagos: The interaction of attention and emotion. Neural Networks 18(4): 353-369 (2005)
- [j52]Nickolaos F. Fragopanagos, John G. Taylor: Emotion recognition in human-computer interaction. Neural Networks 18(4): 389-405 (2005)
- [j51]Matthew Hartley, Neill R. Taylor, John G. Taylor: Subfield variations in hippocampal processing--components of a spatial navigation system. Neural Networks 18(5-6): 611-619 (2005)
- [c33]Neill R. Taylor, Matthew Hartley, John G. Taylor: Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) 2005: 57-63
- [c32]
- [c31]
- [c30]Roddy Cowie, Ellen Douglas-Cowie, John G. Taylor, Spiros Ioannou, Manolis Wallace, Stefanos D. Kollias: An intelligent system for facial emotion recognition. ICME 2005: 904-907
- 2004
- [j50]Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor: Journal of Applied Logic Special Volume on Neural-Symbolic Systems. J. Applied Logic 2(3): 241-243 (2004)
- [j49]Stathis Kasderidis, John G. Taylor: Attentional Agents and robot control. KES Journal 8(2): 69-89 (2004)
- [j48]Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Another exciting year for the INNS/ENNS/JNNS journal! Neural Networks 17(1): 1 (2004)
- [j47]Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor: A general framework for learning rules from data. IEEE Transactions on Neural Networks 15(6): 1333-1349 (2004)
- 2003
- [j46]Winfried A. Fellenz, John G. Taylor: The hidden-layer model of hippocampus. Neurocomputing 50: 31-50 (2003)
- [j45]Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Celebrating the Year with a Special Issue for IJCNN'03. Neural Networks 16(1): 1 (2003)
- [c29]Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi: Drawing Attention to the Dangerous. ICANN 2003: 909-916
- [c28]Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor: Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis. ICANN 2003: 1125-1132
- [c27]John G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias: An Emotional Recognition Architecture Based on Human Brain Structure. ICANN 2003: 1133-1142
- [c26]John G. Taylor, Nickolaos F. Fragopanagos: ANNA: An Artificial Neural Network for Attention to Emotional Recognition. KES 2003: 607-614
- [c25]
- [c24]
- [c23]John G. Taylor: CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. KES 2003: 1140-1148
- 2002
- [j44]Winfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. Neurocomputing 48(1-4): 313-322 (2002)
- [j43]Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2002: A Time of Exuberant Development. Neural Networks 15(1): 1- (2002)
- [j42]John G. Taylor, M. Rogers: A control model of the movement of attention. Neural Networks 15(3): 309-326 (2002)
- 2001
- [j41]Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor: A dynamical model for the analysis and acceleration of learning in feedforward networks. Neural Networks 14(8): 1075-1088 (2001)
- [c22]Neill R. Taylor, John G. Taylor: Neural Nets for Short Movements in Natural Language Processing. ICANN 2001: 1205-1210
- [c21]John G. Taylor: Images of the Mind: Brain Images and Neural Networks. Emergent Neural Computational Architectures Based on Neuroscience 2001: 20-38
- 2000
- [j40]John G. Taylor, Neill R. Taylor: Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. Biological Cybernetics 82(5): 415-432 (2000)
- [j39]Neill R. Taylor, John G. Taylor: Hard-wired models of working memory and temporal sequence storage and generation. Neural Networks 13(2): 201-224 (2000)
- [j38]John G. Taylor, Barry Horwitz, Karl J. Friston: The global brain: imaging and modelling: Introduction: 2000 Special Issue. Neural Networks 13(8-9): 827- (2000)
- [j37]Barry Horwitz, Karl J. Friston, John G. Taylor: Neural modeling and functional brain imaging: an overview. Neural Networks 13(8-9): 829-846 (2000)
- [j36]Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy, Hans-W. Müller-Gärtner: Imaging and neural modelling in episodic and working memory processes. Neural Networks 13(8-9): 847-859 (2000)
- [j35]John G. Taylor, Barry Horwitz, N. Jon Shah, Winfried A. Fellenz, Hans-W. Müller-Gärtner, Bernd J. Krause: Decomposing memory: functional assignments and brain traffic in paired word associate learning. Neural Networks 13(8-9): 923-940 (2000)
- [j34]Oury Monchi, John G. Taylor, Alain Dagher: A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions. Neural Networks 13(8-9): 953-973 (2000)
- [c20]Winfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. ESANN 2000: 431-436
- [c19]
- [c18]John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine: The Frontal Lobes and Executive Function. IJCNN (1) 2000: 41-46
- [c17]Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk: A General Framework for Symbol and Rule Extraction in Neural Networks. IJCNN (2) 2000: 87-92
- [c16]Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni: On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System. IJCNN (2) 2000: 93-98
- [c15]John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas: Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) 2000: 99-104
- [c14]Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann: Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) 2000: 115-120
- [c13]
- [c12]Winfried A. Fellenz, John G. Taylor: The Hidden Layer Associative Memory Model of Hippocampus. IJCNN (2) 2000: 205-210
- [c11]Neill R. Taylor, John G. Taylor: Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) 2000: 217-224
- [c10]John G. Taylor: Bringing AI and Soft Computing Together: A Neurobiological Perspective. Intelligent Systems and Soft Computing 2000: 41-71
1990 – 1999
- 1999
- [j33]Oury Monchi, John G. Taylor: A Hard Wired Model of Coupled Frontal Working memories for various Tasks. Inf. Sci. 113(3-4): 221-243 (1999)
- [j32]Patrick J. C. May, Hannu Tiitinen, Risto J. Ilmoniemi, Göte Nyman, John G. Taylor, Risto Näätänen: Frequency Change Detection in Human Auditory Cortex. Journal of Computational Neuroscience 6(2): 99-120 (1999)
- [j31]Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor: Dynamics of multilayer networks in the vicinity of temporary minima. Neural Networks 12(1): 43-58 (1999)
- [j30]John G. Taylor: Towards the networks of the brain: from brain imaging to consciousness. Neural Networks 12(7-8): 943-959 (1999)
- [j29]John G. Taylor, Andreas A. Ioannides, Hans-W. Müller-Gärtner: Mathematical Analysis of Lead Field Expansions. IEEE Trans. Med. Imaging 18(2): 151-163 (1999)
- 1998
- [j28]Dirk Husmeier, John G. Taylor: Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL. Neural Networks 11(1): 89-116 (1998)
- [c9]Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse: Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. Bildverarbeitung für die Medizin 1998
- 1997
- [j27]Denise Gorse, David A. Romano-Critchley, John G. Taylor: A pulse-based reinforcement algorithm for learning continuous functions. Neurocomputing 14(4): 319-344 (1997)
- [j26]Guido Bugmann, Chris Christodoulou, John G. Taylor: Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Computation 9(5): 985-1000 (1997)
- [j25]Denise Gorse, Adrian J. Shepherd, John G. Taylor: The New ERA in Supervised Learning. Neural Networks 10(2): 343-352 (1997)
- [j24]Dirk Husmeier, John G. Taylor: Predicting Conditional Probability Densities of Stationary Stochastic Time Series. Neural Networks 10(3): 479-497 (1997)
- [j23]John G. Taylor, Hans-W. Müller-Gärtner: Non-Invasive Analysis of Awareness. Neural Networks 10(7): 1185-1194 (1997)
- [j22]
- [j21]Bruno Apolloni, Diego de Falco, John G. Taylor: pRAM layout optimisation. Neural Networks 10(9): 1709-1716 (1997)
- [c8]Dirk Husmeier, John G. Taylor: Modeling Conditional Probabilities with Committees of RVFL Networks. ICANN 1997: 1053-1058
- [c7]Paulo J. L. Adeodato, John G. Taylor: Stability analysis of pRAM reinforcement learning. SBRN 1997: 41-50
- 1996
- [j20]
- [j19]Stephen Coombes, John G. Taylor: Using Features for the Storage of Patterns in a Fully Connected Net. Neural Networks 9(5): 837-844 (1996)
- [j18]Valeriu Beiu, John G. Taylor: On the Circuit Complexity of Sigmoid Feedforward Neural Networks. Neural Networks 9(7): 1155-1171 (1996)
- [c6]Paulo J. L. Adeodato, John G. Taylor: Autoassociative Memory with high Storage Capacity. ICANN 1996: 29-34
- 1995
- [j17]Trevor G. Clarkson, John G. Taylor, Denise Gorse: Response to letter by K. Gurney. Neural Networks 8(3): 491- (1995)
- [j16]Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor: pRAM nets for detection of small targets in sequences of infra-red images. Neural Networks 8(7-8): 1227-1237 (1995)
- [c5]Y. Guan, Trevor G. Clarkson, John G. Taylor: Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. IWANN 1995: 441-447
- [c4]Valeriu Beiu, John G. Taylor: Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. IWANN 1995: 822-829
- [c3]Rasmus S. Petersen, John G. Taylor: Reorganisation of Somatosensory Cortex after Tactile Training. NIPS 1995: 82-88
- 1994
- [j15]Y. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse: Noisy reinforcement training for pRAM nets. Neural Networks 7(3): 523-528 (1994)
- [j14]Stephen Grossberg, John G. Taylor: Introduction: 1994 Special issue. Neural Networks 7(6-7): 863- (1994)
- [j13]Paul C. Bressloff, John G. Taylor: Dynamics of compartmental model neurons. Neural Networks 7(6-7): 1153-1165 (1994)
- [j12]
- 1993
- [b1]John G. Taylor: Promise of neural networks. Perspectives in neural computing, Springer 1993, ISBN 978-3-540-19773-7, pp. I-VIII, 1-160
- [j11]Paul C. Bressloff, John G. Taylor: Compartmental-model response function for dendritic trees. Biological Cybernetics 70(2): 199-207 (1993)
- [j10]Stephen Grossberg, John G. Taylor: The fifth anniversary of neural networks. Neural Networks 6(1): 1 (1993)
- [j9]John G. Taylor, Stephen Coombes: Learning higher order correlations. Neural Networks 6(3): 423-427 (1993)
- [j8]Geoffrey J. Chappell, John G. Taylor: The temporal Kohönen map. Neural Networks 6(3): 441-445 (1993)
- [c2]Denise Gorse, Adrian J. Shepherd, John G. Taylor: Traking global minima using a range expansion algorithm. ESANN 1993
- [c1]Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor: The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN 1993: 465-470
- 1992
- [j7]
- [j6]Trevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng: Learning Probabilistic RAM Nets Using VLSI Structures. IEEE Trans. Computers 41(12): 1552-1561 (1992)
- 1991
- [j5]John G. Taylor: Neural Network Capacity for Temporal Sequence Storage. Int. J. Neural Syst. 2(1-2): 47-54 (1991)
- [j4]Denise Gorse, John G. Taylor: A continuous input RAM-based stochastic neural model. Neural Networks 4(5): 657-665 (1991)
- [j3]
- [j2]Paul C. Bressloff, John G. Taylor: Discrete time leaky integrator network with synaptic noise. Neural Networks 4(6): 789-801 (1991)
- 1990
- [j1]John G. Taylor: A silicon model of vertebrate retinal processing. Neural Networks 3(2): 171-178 (1990)
Coauthor Index
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last updated on 2013-06-11 09:56 CEST by the dblp team