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John G. Taylor

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2009
109EEKenji 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)
2008
108EEKenji Doya, Stephen Grossberg, John G. Taylor: Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008)
2007
107EENienke J. H. Korsten, Nickolaos F. Fragopanagos, John G. Taylor: Neural Substructures for Appraisal in Emotion: Self-esteem and Depression. ICANN (2) 2007: 850-858
106EEJohn G. Taylor, Nickolaos F. Fragopanagos: Modelling the N2pc and Its Interaction with Value. ICANN (2) 2007: 879-888
105EEMatthew 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
104EENeill R. Taylor, John G. Taylor: A Novel Novelty Detector. ICANN (2) 2007: 973-983
103EENicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor: An Attention-Based Architecture for Context Switch Detection. The Disappearing Computer 2007: 205-229
102EEJohn G. Taylor: The Role of Attention in Creating a Cognitive System. WAPCV 2007: 21-41
101EEStephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2007: Another year of exciting special issues! Neural Networks 20(1): 10-11 (2007)
100EEJohn G. Taylor: Commentary on the 'small network' argument. Neural Networks 20(9): 1059-1060 (2007)
99EEJohn G. Taylor, Walter J. Freeman, Alex Cleeremans: Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007)
98EEJohn G. Taylor: CODAM: A neural network model of consciousness. Neural Networks 20(9): 983-992 (2007)
97EEJohn G. Taylor, Nickolaos F. Fragopanagos: Resolving some confusions over attention and consciousness. Neural Networks 20(9): 993-1003 (2007)
96EEJohn G. Taylor: CODAM model. Scholarpedia 2(11): 1598 (2007)
2006
95EEJohn G. Taylor: Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. ICANN (1) 2006: 535-542
94EEJohn G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten: Modelling Working Memory Through Attentional Mechanisms. ICANN (1) 2006: 553-562
93EEJohn G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley: A Basis for Cognitive Machines. ICANN (1) 2006: 573-582
92EENeill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601
91EEJohn G. Taylor: Towards a Control Theory of Attention. ICANN (2) 2006: 461-470
90EENickolaos 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
89EENeill R. Taylor, Matthew Hartley, John G. Taylor: The micro-structure of attention. Neural Networks 19(9): 1347-1370 (2006)
88EENienke 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)
87EENickolaos F. Fragopanagos, John G. Taylor: Modelling the interaction of attention and emotion. Neurocomputing 69(16-18): 1977-1983 (2006)
86EEMatthew Hartley, Neill R. Taylor, John G. Taylor: Understanding spike-time-dependent plasticity: A biologically motivated computational model. Neurocomputing 69(16-18): 2005-2016 (2006)
2005
85EENeill R. Taylor, Matthew Hartley, John G. Taylor: Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) 2005: 57-63
84EEStathis Kasderidis, John G. Taylor: Combining Attention and Value Maps. ICANN (1) 2005: 79-84
83EEJohn G. Taylor: A Review of Cognitive Processing in the Brain. ICANN (1) 2005: 97-102
82EERoddy 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
81EEJohn G. Taylor: Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). Artif. Intell. 169(2): 192-195 (2005)
80EEStephen Grossberg, Mitsuo Kawato, John G. Taylor: A year of exciting Special Issues! Neural Networks 18(1): 13- (2005)
79EEJohn G. Taylor, Klaus R. Scherer, Roddy Cowie: Emotion and brain: Understanding emotions and modelling their recognition. Neural Networks 18(4): 313-316 (2005)
78EEJohn G. Taylor, Nickolaos F. Fragopanagos: The interaction of attention and emotion. Neural Networks 18(4): 353-369 (2005)
77EENickolaos F. Fragopanagos, John G. Taylor: Emotion recognition in human-computer interaction. Neural Networks 18(4): 389-405 (2005)
76EEMatthew 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)
2004
75EEArtur 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)
74EEStathis Kasderidis, John G. Taylor: Attentional Agents and robot control. KES Journal 8(2): 69-89 (2004)
73EEStephen Grossberg, Mitsuo Kawato, John G. Taylor: Another exciting year for the INNS/ENNS/JNNS journal! Neural Networks 17(1): 1 (2004)
2003
72EEStavroula-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
71EEJohn 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
70EEStathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi: Drawing Attention to the Dangerous. ICANN 2003: 909-916
69EEJohn G. Taylor: The CODAM Model and Deficits of Consciousness I: CODAM. KES 2003: 1130-1139
68EEJohn G. Taylor: CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. KES 2003: 1140-1148
67EEJohn G. Taylor, Nickolaos F. Fragopanagos: ANNA: An Artificial Neural Network for Attention to Emotional Recognition. KES 2003: 607-614
66EEStathis Kasderidis, John G. Taylor: Attention-Based Robot Control. KES 2003: 615-621
65EEStephen Grossberg, Mitsuo Kawato, John G. Taylor: Celebrating the Year with a Special Issue for IJCNN'03. Neural Networks 16(1): 1 (2003)
64EEWinfried A. Fellenz, John G. Taylor: The hidden-layer model of hippocampus. Neurocomputing 50: 31-50 (2003)
2002
63EEStephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2002: A Time of Exuberant Development. Neural Networks 15(1): 1- (2002)
62EEJohn G. Taylor, M. Rogers: A control model of the movement of attention. Neural Networks 15(3): 309-326 (2002)
61EEWinfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. Neurocomputing 48(1-4): 313-322 (2002)
2001
60EEJohn G. Taylor: Images of the Mind: Brain Images and Neural Networks. Emergent Neural Computational Architectures Based on Neuroscience 2001: 20-38
59EENeill R. Taylor, John G. Taylor: Neural Nets for Short Movements in Natural Language Processing. ICANN 2001: 1205-1210
58EENikolaos 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)
2000
57EEWinfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. ESANN 2000: 431-436
56EEJohn G. Taylor: Towards Understanding Images of the Mind. IJCNN (1) 2000: 177-184
55EEJohn G. Taylor: A General Framework for the Functions of the Brain. IJCNN (1) 2000: 35-40
54EEJohn G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine: The Frontal Lobes and Executive Function. IJCNN (1) 2000: 41-46
53EEWinfried A. Fellenz, John G. Taylor: The Hidden Layer Associative Memory Model of Hippocampus. IJCNN (2) 2000: 205-210
52EENeill R. Taylor, John G. Taylor: Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) 2000: 217-224
51EEBruno 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
50EEWinfried 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
49EEJohn G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas: Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) 2000: 99-104
48EEChris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann: Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) 2000: 115-120
47 John G. Taylor: Bringing AI and Soft Computing Together: A Neurobiological Perspective. Intelligent Systems and Soft Computing 2000: 41-71
46EENeill R. Taylor, John G. Taylor: Hard-wired models of working memory and temporal sequence storage and generation. Neural Networks 13(2): 201-224 (2000)
45EEJohn G. Taylor, Barry Horwitz, Karl J. Friston: The global brain: imaging and modelling: Introduction: 2000 Special Issue. Neural Networks 13(8-9): 827- (2000)
44EEBarry Horwitz, Karl J. Friston, John G. Taylor: Neural modeling and functional brain imaging: an overview. Neural Networks 13(8-9): 829-846 (2000)
43EEBernd 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)
42EEJohn G. Taylor, Barry Horwitz, N. J. 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)
41EEOury 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)
1999
40 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)
39 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)
38 Patrick 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)
37EENikolaos Ampazis, Stavros J. Perantonis, John G. Taylor: Dynamics of multilayer networks in the vicinity of temporary minima. Neural Networks 12(1): 43-58 (1999)
36EEJohn G. Taylor: Towards the networks of the brain: from brain imaging to consciousness. Neural Networks 12(7-8): 943-959 (1999)
1998
35EEDaniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse: Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. Bildverarbeitung für die Medizin 1998
34EEDirk 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)
1997
33 Dirk Husmeier, John G. Taylor: Modeling Conditional Probabilities with Committees of RVFL Networks. ICANN 1997: 1053-1058
32EEPaulo J. L. Adeodato, John G. Taylor: Stability analysis of pRAM reinforcement learning. SBRN 1997: 41-50
31EEGuido 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)
30EEDenise Gorse, Adrian J. Sheperd, John G. Taylor: The New ERA in Supervised Learning. Neural Networks 10(2): 343-352 (1997)
29EEDirk Husmeier, John G. Taylor: Predicting Conditional Probability Densities of Stationary Stochastic Time Series. Neural Networks 10(3): 479-497 (1997)
28EEJohn G. Taylor, Hans-W. Müller-Gärtner: Non-Invasive Analysis of Awareness. Neural Networks 10(7): 1185-1194 (1997)
27EEJohn G. Taylor: Neural networks for consciousness. Neural Networks 10(7): 1207-1225 (1997)
26EEBruno Apolloni, Diego de Falco, John G. Taylor: pRAM layout optimisation. Neural Networks 10(9): 1709-1716 (1997)
25EEDenise Gorse, David A. Romano-Critchley, John G. Taylor: A pulse-based reinforcement algorithm for learning continuous functions. Neurocomputing 14(4): 319-344 (1997)
1996
24 Paulo J. L. Adeodato, John G. Taylor: Autoassociative Memory with high Storage Capacity. ICANN 1996: 29-34
23EEStephen Coombes, John G. Taylor: Using Features for the Storage of Patterns in a Fully Connected Net. Neural Networks 9(5): 837-844 (1996)
22EEValeriu Beiu, John G. Taylor: On the Circuit Complexity of Sigmoid Feedforward Neural Networks. Neural Networks 9(7): 1155-1171 (1996)
21EEJohn G. Taylor: A competition for consciousness? Neurocomputing 11(2-4): 271-296 (1996)
1995
20 Y. Guan, Trevor G. Clarkson, John G. Taylor: Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. IWANN 1995: 441-447
19 Valeriu Beiu, John G. Taylor: Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. IWANN 1995: 822-829
18EERasmus S. Petersen, John G. Taylor: Reorganisation of Somatosensory Cortex after Tactile Training. NIPS 1995: 82-88
17EETrevor G. Clarkson, John G. Taylor, Denise Gorse: Response to letter by K. Gurney. Neural Networks 8(3): 491- (1995)
16EESivasubramaniam 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)
1994
15EEY. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse: Noisy reinforcement training for pRAM nets. Neural Networks 7(3): 523-528 (1994)
14EEPaul C. Bressloff, John G. Taylor: Dynamics of compartmental model neurons. Neural Networks 7(6-7): 1153-1165 (1994)
13EEJohn G. Taylor: Goals, drives, and consciousness. Neural Networks 7(6-7): 1181-1190 (1994)
12EEStephen Grossberg, John G. Taylor: Introduction: 1994 Special issue. Neural Networks 7(6-7): 863- (1994)
1993
11 Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor: The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN 1993: 465-470
10EEStephen Grossberg, John G. Taylor: The fifth anniversary of neural networks. Neural Networks 6(1): 1 (1993)
9EEJohn G. Taylor, Stephen Coombes: Learning higher order correlations. Neural Networks 6(3): 423-427 (1993)
8EEGeoffrey J. Chappell, John G. Taylor: The temporal Kohönen map. Neural Networks 6(3): 441-445 (1993)
1992
7 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)
6EEShun-ichi Amari, Stephen Grossberg, John G. Taylor: Editorial. Neural Networks 5(1): 1- (1992)
1991
5EEJohn G. Taylor: Neural Network Capacity for Temporal Sequence Storage. Int. J. Neural Syst. 2(1-2): 47-54 (1991)
4EEDenise Gorse, John G. Taylor: A continuous input RAM-based stochastic neural model. Neural Networks 4(5): 657-665 (1991)
3EEMichael Reiss, John G. Taylor: Storing temporal sequences. Neural Networks 4(6): 773-787 (1991)
2EEPaul C. Bressloff, John G. Taylor: Discrete time leaky integrator network with synaptic noise. Neural Networks 4(6): 789-801 (1991)
1990
1EEJohn G. Taylor: A silicon model of vertebrate retinal processing. Neural Networks 3(2): 171-178 (1990)

Coauthor Index

1Paulo J. L. Adeodato [24] [32]
2Shun-ichi Amari [6]
3Nikolaos Ampazis [37] [58]
4Bruno Apolloni [26] [49] [50] [51]
5Theologos Athanaselis [72]
6Stelios Bakamidis [72]
7Raju S. Bapi [54]
8Valeriu Beiu [19] [22]
9Paul C. Bressloff [2] [14]
10Guido Bugmann [11] [31] [48] [54]
11George Carayannis [72]
12Geoffrey J. Chappell [8]
13Chris Christodoulou [11] [31] [48]
14Trevor G. Clarkson [7] [11] [15] [16] [17] [20] [48]
15Alex Cleeremans [99]
16Stephen Coombes [9] [23]
17Roddy Cowie [50] [71] [72] [79] [82]
18Alain Dagher [41]
19Ioannis Dologlou [72]
20Ellen Douglas-Cowie [50] [71] [72] [82]
21Kenji Doya [108] [109]
22Diego de Falco [26]
23Winfried A. Fellenz [42] [50] [51] [53] [57] [61] [64]
24Stavroula-Evita Fotinea [71] [72]
25Nickolaos F. Fragopanagos [67] [71] [72] [77] [78] [87] [88] [90] [94] [97] [106] [107]
26Walter J. Freeman [99]
27Karl J. Friston [44] [45]
28Dov M. Gabbay [75]
29Artur S. d'Avila Garcez [75]
30Daniel Gembris [35]
31Stan C. A. M. Gielen [51]
32Denise Gorse [4] [7] [15] [17] [25] [30]
33Stephen Grossberg [6] [10] [12] [63] [65] [73] [80] [101] [108] [109]
34Y. Guan [15] [20]
35Matthew Hartley [76] [85] [86] [88] [89] [92] [93] [105]
36Hubertus Hautzel [43]
37Steffen Hölldobler [75]
38Barry Horwitz [42] [44] [45]
39Dirk Husmeier [29] [33] [34]
40Risto J. Ilmoniemi [38]
41Andreas A. Ioannides [40]
42Spiros Ioannou [82]
43Stathis Kasderidis [66] [70] [74] [84] [92] [93] [103]
44Mitsuo Kawato [63] [65] [73] [80] [101]
45Stefanos D. Kollias [50] [71] [82]
46Nienke J. H. Korsten [88] [90] [94] [107]
47Bernd J. Krause [42] [43]
48Daniel S. Levine [54]
49Dario Malchiodi [70]
50Patrick May [38]
51Oury Monchi [39] [41]
52Felix M. Mottaghy [43]
53Hans-W. Müller-Gärtner [28] [40] [42] [43]
54Risto Näätänen [38]
55C. K. Ng [7]
56Göte Nyman [38]
57Christos Orovas [49] [50] [51]
58Christo Panchev [92]
59Stavros J. Perantonis [37] [58]
60Rasmus S. Petersen [16] [18]
61Frédéric Piat [50]
62Stefan Posse [35]
63Sivasubramaniam Ramanan [16]
64Michael Reiss [3]
65M. Rogers [62]
66David A. Romano-Critchley [25]
67Klaus R. Scherer [79]
68Daniela Schmidt [43]
69Stefan Schor [35]
70N. J. Shah [42]
71Adrian J. Sheperd [30]
72Dieter Suter [35]
73Neill R. Taylor [46] [49] [52] [54] [59] [76] [85] [86] [88] [89] [92] [104]
74Hannu Tiitinen [38]
75Panos E. Trahanias [93]
76Nicolas Tsapatsoulis [70] [103]
77Manolis Wallace [82]
78Machiel Westerdijk [51]

Colors in the list of coauthors

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