John G. Taylor

	2009
113		Matthew Hartley, John G. Taylor: Mental Simulation, Attention and Creativity. ICANN (2) 2009: 40-53
112		John G. Taylor, Matthew Hartley, N. 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)
111		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)
	2008
110		Kenji Doya, Stephen Grossberg, John G. Taylor: Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008)
	2007
109		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
108		John G. Taylor, Nickolaos F. Fragopanagos: Modelling the N2pc and Its Interaction with Value. ICANN (2) 2007: 879-888
107		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
106		Neill R. Taylor, John G. Taylor: A Novel Novelty Detector. ICANN (2) 2007: 973-983
105		Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor: An Attention-Based Architecture for Context Switch Detection. The Disappearing Computer 2007: 205-229
104		John G. Taylor: The Role of Attention in Creating a Cognitive System. WAPCV 2007: 21-41
103		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)
102		Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2007: Another year of exciting special issues! Neural Networks 20(1): 10-11 (2007)
101		John G. Taylor: Commentary on the 'small network' argument. Neural Networks 20(9): 1059-1060 (2007)
100		John G. Taylor, Walter J. Freeman, Alex Cleeremans: Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007)
99		John G. Taylor: CODAM: A neural network model of consciousness. Neural Networks 20(9): 983-992 (2007)
98		John G. Taylor, Nickolaos F. Fragopanagos: Resolving some confusions over attention and consciousness. Neural Networks 20(9): 993-1003 (2007)
97		John G. Taylor: CODAM model. Scholarpedia 2(11): 1598 (2007)
	2006
96		John G. Taylor: Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. ICANN (1) 2006: 535-542
95		John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten: Modelling Working Memory Through Attentional Mechanisms. ICANN (1) 2006: 553-562
94		John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley: A Basis for Cognitive Machines. ICANN (1) 2006: 573-582
93		Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor: Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601
92		John G. Taylor: Towards a Control Theory of Attention. ICANN (2) 2006: 461-470
91		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
90		John G. Taylor, Anna Christina Nobre, K. Shapiro: Introduction to the special issue on 'Brain & Attention'. Neural Networks 19(9): 1321-1328 (2006)
89		Neill R. Taylor, Matthew Hartley, John G. Taylor: The micro-structure of attention. Neural Networks 19(9): 1347-1370 (2006)
88		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)
87		Nickolaos F. Fragopanagos, John G. Taylor: Modelling the interaction of attention and emotion. Neurocomputing 69(16-18): 1977-1983 (2006)
86		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)
	2005
85		Neill R. Taylor, Matthew Hartley, John G. Taylor: Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) 2005: 57-63
84		Stathis Kasderidis, John G. Taylor: Combining Attention and Value Maps. ICANN (1) 2005: 79-84
83		John G. Taylor: A Review of Cognitive Processing in the Brain. ICANN (1) 2005: 97-102
82		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
81		John G. Taylor: Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). Artif. Intell. 169(2): 192-195 (2005)
80		Stephen Grossberg, Mitsuo Kawato, John G. Taylor: A year of exciting Special Issues! Neural Networks 18(1): 13- (2005)
79		John G. Taylor, Klaus R. Scherer, Roddy Cowie: Emotion and brain: Understanding emotions and modelling their recognition. Neural Networks 18(4): 313-316 (2005)
78		John G. Taylor, Nickolaos F. Fragopanagos: The interaction of attention and emotion. Neural Networks 18(4): 353-369 (2005)
77		Nickolaos F. Fragopanagos, John G. Taylor: Emotion recognition in human-computer interaction. Neural Networks 18(4): 389-405 (2005)
76		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)
	2004
75		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)
74		Stathis Kasderidis, John G. Taylor: Attentional Agents and robot control. KES Journal 8(2): 69-89 (2004)
73		Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Another exciting year for the INNS/ENNS/JNNS journal! Neural Networks 17(1): 1 (2004)
	2003
72		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
71		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
70		Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi: Drawing Attention to the Dangerous. ICANN 2003: 909-916
69		John G. Taylor: The CODAM Model and Deficits of Consciousness I: CODAM. KES 2003: 1130-1139
68		John G. Taylor: CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. KES 2003: 1140-1148
67		John G. Taylor, Nickolaos F. Fragopanagos: ANNA: An Artificial Neural Network for Attention to Emotional Recognition. KES 2003: 607-614
66		Stathis Kasderidis, John G. Taylor: Attention-Based Robot Control. KES 2003: 615-621
65		Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Celebrating the Year with a Special Issue for IJCNN'03. Neural Networks 16(1): 1 (2003)
64		Winfried A. Fellenz, John G. Taylor: The hidden-layer model of hippocampus. Neurocomputing 50: 31-50 (2003)
	2002
63		Stephen Grossberg, Mitsuo Kawato, John G. Taylor: Editorial for 2002: A Time of Exuberant Development. Neural Networks 15(1): 1- (2002)
62		John G. Taylor, M. Rogers: A control model of the movement of attention. Neural Networks 15(3): 309-326 (2002)
61		Winfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. Neurocomputing 48(1-4): 313-322 (2002)
	2001
60		John G. Taylor: Images of the Mind: Brain Images and Neural Networks. Emergent Neural Computational Architectures Based on Neuroscience 2001: 20-38
59		Neill R. Taylor, John G. Taylor: Neural Nets for Short Movements in Natural Language Processing. ICANN 2001: 1205-1210
58		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)
	2000
57		Winfried A. Fellenz, John G. Taylor: Establishing retinotopy by lateral-inhibition type homogeneous neural fields. ESANN 2000: 431-436
56		John G. Taylor: Towards Understanding Images of the Mind. IJCNN (1) 2000: 177-184
55		John G. Taylor: A General Framework for the Functions of the Brain. IJCNN (1) 2000: 35-40
54		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
53		Winfried A. Fellenz, John G. Taylor: The Hidden Layer Associative Memory Model of Hippocampus. IJCNN (2) 2000: 205-210
52		Neill R. Taylor, John G. Taylor: Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) 2000: 217-224
51		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
50		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
49		John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas: Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) 2000: 99-104
48		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
47		John G. Taylor: Bringing AI and Soft Computing Together: A Neurobiological Perspective. Intelligent Systems and Soft Computing 2000: 41-71
46		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)
45		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)
44		Barry Horwitz, Karl J. Friston, John G. Taylor: Neural modeling and functional brain imaging: an overview. Neural Networks 13(8-9): 829-846 (2000)
43		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)
42		John 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)
41		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)
	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)
37		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)
36		John G. Taylor: Towards the networks of the brain: from brain imaging to consciousness. Neural Networks 12(7-8): 943-959 (1999)
	1998
35		Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse: Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. Bildverarbeitung für die Medizin 1998
34		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)
	1997
33		Dirk Husmeier, John G. Taylor: Modeling Conditional Probabilities with Committees of RVFL Networks. ICANN 1997: 1053-1058
32		Paulo J. L. Adeodato, John G. Taylor: Stability analysis of pRAM reinforcement learning. SBRN 1997: 41-50
31		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)
30		Denise Gorse, Adrian J. Sheperd, John G. Taylor: The New ERA in Supervised Learning. Neural Networks 10(2): 343-352 (1997)
29		Dirk Husmeier, John G. Taylor: Predicting Conditional Probability Densities of Stationary Stochastic Time Series. Neural Networks 10(3): 479-497 (1997)
28		John G. Taylor, Hans-W. Müller-Gärtner: Non-Invasive Analysis of Awareness. Neural Networks 10(7): 1185-1194 (1997)
27		John G. Taylor: Neural networks for consciousness. Neural Networks 10(7): 1207-1225 (1997)
26		Bruno Apolloni, Diego de Falco, John G. Taylor: pRAM layout optimisation. Neural Networks 10(9): 1709-1716 (1997)
25		Denise 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
23		Stephen Coombes, John G. Taylor: Using Features for the Storage of Patterns in a Fully Connected Net. Neural Networks 9(5): 837-844 (1996)
22		Valeriu Beiu, John G. Taylor: On the Circuit Complexity of Sigmoid Feedforward Neural Networks. Neural Networks 9(7): 1155-1171 (1996)
21		John 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
18		Rasmus S. Petersen, John G. Taylor: Reorganisation of Somatosensory Cortex after Tactile Training. NIPS 1995: 82-88
17		Trevor G. Clarkson, John G. Taylor, Denise Gorse: Response to letter by K. Gurney. Neural Networks 8(3): 491- (1995)
16		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)
	1994
15		Y. Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse: Noisy reinforcement training for pRAM nets. Neural Networks 7(3): 523-528 (1994)
14		Paul C. Bressloff, John G. Taylor: Dynamics of compartmental model neurons. Neural Networks 7(6-7): 1153-1165 (1994)
13		John G. Taylor: Goals, drives, and consciousness. Neural Networks 7(6-7): 1181-1190 (1994)
12		Stephen 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
10		Stephen Grossberg, John G. Taylor: The fifth anniversary of neural networks. Neural Networks 6(1): 1 (1993)
9		John G. Taylor, Stephen Coombes: Learning higher order correlations. Neural Networks 6(3): 423-427 (1993)
8		Geoffrey 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)
6		Shun-ichi Amari, Stephen Grossberg, John G. Taylor: Editorial. Neural Networks 5(1): 1- (1992)
	1991
5		John G. Taylor: Neural Network Capacity for Temporal Sequence Storage. Int. J. Neural Syst. 2(1-2): 47-54 (1991)
4		Denise Gorse, John G. Taylor: A continuous input RAM-based stochastic neural model. Neural Networks 4(5): 657-665 (1991)
3		Michael Reiss, John G. Taylor: Storing temporal sequences. Neural Networks 4(6): 773-787 (1991)
2		Paul C. Bressloff, John G. Taylor: Discrete time leaky integrator network with synaptic noise. Neural Networks 4(6): 789-801 (1991)
	1990
1		John G. Taylor: A silicon model of vertebrate retinal processing. Neural Networks 3(2): 171-178 (1990)

Coauthor Index

1	Paulo J. L. Adeodato	[24] [32]
2	Shun-ichi Amari	[6]
3	Nikolaos Ampazis	[37] [58]
4	Bruno Apolloni	[26] [49] [50] [51]
5	Theologos Athanaselis	[72]
6	Stelios Bakamidis	[72]
7	Raju S. Bapi	[54]
8	Valeriu Beiu	[19] [22]
9	Paul C. Bressloff	[2] [14]
10	Guido Bugmann	[11] [31] [48] [54]
11	George Carayannis	[72]
12	Geoffrey J. Chappell	[8]
13	Chris Christodoulou	[11] [31] [48]
14	Trevor G. Clarkson	[7] [11] [15] [16] [17] [20] [48]
15	Alex Cleeremans	[100]
16	Stephen Coombes	[9] [23]
17	Roddy Cowie	[50] [71] [72] [79] [82]
18	Alain Dagher	[41]
19	Ioannis Dologlou	[72]
20	Ellen Douglas-Cowie	[50] [71] [72] [82]
21	Kenji Doya	[110] [111]
22	Martin Eimer	[103]
23	Diego de Falco	[26]
24	Winfried A. Fellenz	[42] [50] [51] [53] [57] [61] [64]
25	Stavroula-Evita Fotinea	[71] [72]
26	Nickolaos F. Fragopanagos	[67] [71] [72] [77] [78] [87] [88] [91] [95] [98] [103] [108] [109]
27	Walter J. Freeman	[100]
28	Karl J. Friston	[44] [45]
29	Dov M. Gabbay	[75]
30	Artur S. d'Avila Garcez	[75]
31	Daniel Gembris	[35]
32	Stan C. A. M. Gielen	[51]
33	Brian A. Goolsby	[103]
34	Denise Gorse	[4] [7] [15] [17] [25] [30]
35	Stephen Grossberg	[6] [10] [12] [63] [65] [73] [80] [102] [110] [111]
36	Y. Guan	[15] [20]
37	Matthew Hartley	[76] [85] [86] [88] [89] [93] [94] [107] [112] [113]
38	Hubertus Hautzel	[43]
39	Steffen Hölldobler	[75]
40	Barry Horwitz	[42] [44] [45]
41	Dirk Husmeier	[29] [33] [34]
42	Risto J. Ilmoniemi	[38]
43	Andreas A. Ioannides	[40]
44	Spiros Ioannou	[82]
45	Stathis Kasderidis	[66] [70] [74] [84] [93] [94] [105] [112]
46	Mitsuo Kawato	[63] [65] [73] [80] [102]
47	Monika Kiss	[103]
48	Stefanos D. Kollias	[50] [71] [82]
49	Nienke J. H. Korsten	[88] [91] [95] [109]
50	Bernd J. Krause	[42] [43]
51	Daniel S. Levine	[54]
52	Dario Malchiodi	[70]
53	Patrick May	[38]
54	Oury Monchi	[39] [41]
55	Felix M. Mottaghy	[43]
56	Hans-W. Müller-Gärtner	[28] [40] [42] [43]
57	Risto Näätänen	[38]
58	C. K. Ng	[7]
59	Anna Christina Nobre	[90] [103]
60	Göte Nyman	[38]
61	Christos Orovas	[49] [50] [51]
62	Christo Panchev	[93] [112]
63	Stavros J. Perantonis	[37] [58]
64	Rasmus S. Petersen	[16] [18]
65	Frédéric Piat	[50]
66	Stefan Posse	[35]
67	Sivasubramaniam Ramanan	[16]
68	Jane E. Raymond	[103]
69	Michael Reiss	[3]
70	M. Rogers	[62]
71	David A. Romano-Critchley	[25]
72	Klaus R. Scherer	[79]
73	Daniela Schmidt	[43]
74	Stefan Schor	[35]
75	N. J. Shah	[42]
76	K. Shapiro	[90]
77	Kimron L. Shapiro	[103]
78	Adrian J. Sheperd	[30]
79	Laetitia Silvert	[103]
80	Dieter Suter	[35]
81	N. Taylor	[112]
82	Neill R. Taylor	[46] [49] [52] [54] [59] [76] [85] [86] [88] [89] [93] [106]
83	Hannu Tiitinen	[38]
84	Panos E. Trahanias	[94]
85	Nicolas Tsapatsoulis	[70] [105]
86	Manolis Wallace	[82]
87	Machiel Westerdijk	[51]

Colors in the list of coauthors