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2010 – 2019
- 2013
[j99]Guido Bugmann, John G. Taylor:
Activity Propagation in a Network of Coincidence-Detecting Neurons. Cogn. Comput. 5(3): 307-326 (2013)- [j98]Bruno Apolloni, Dario Malchiodi, John G. Taylor:
Learning by Gossip: A Principled Information Exchange Model in Social Networks. Cogn. Comput. 5(3): 327-339 (2013) - [j97]John G. Taylor, Vassilis Cutsuridis
, Matthew Hartley, Kaspar Althoefer, D. P. Thrishantha Nanayakkara:
Observational Learning: Basis, Experimental Results and Models, and Implications for Robotics. Cogn. Comput. 5(3): 340-354 (2013) - [j96]Vassilis Cutsuridis, John G. Taylor:
A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents. Cogn. Comput. 5(3): 383-395 (2013) - 2012
- [j95]Kenji Doya, John G. Taylor, DeLiang Wang:
Expedited review process. Neural Networks 25: 1 (2012) - 2011
- [j94]John G. Taylor, Vassilis Cutsuridis:
Saliency, Attention, Active Visual Search, and Picture Scanning. Cogn. Comput. 3(1): 1-3 (2011) - [j93]John G. Taylor, Vassilis Cutsuridis:
Editorial Notes. Cogn. Comput. 3(1): 4 (2011) - [j92]John G. Taylor:
Consciousness Versus Attention. Cogn. Comput. 3(2): 333-340 (2011) - [j91]Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang:
An excellent year and a transition. Neural Networks 24(1): 1 (2011) - [c77]John G. Taylor:
Deciding in uncertainy: The creativity effects. CCMB 2011: 29-34 - 2010
- [j90]John G. Taylor:
On artificial brains. Neurocomputing 74(1-3): 50-56 (2010) - [j89]Kenji Doya, Stephen Grossberg, John G. Taylor:
Editorial for 2010. Neural Networks 23(1): 1 (2010) - [c76]John G. Taylor:
Consciousness versus Attention. ICANN (3) 2010: 496-503 - [c75]John G. Taylor:
The creativity effect: Consciousness versus attention. IJCNN 2010: 1-8 - [c74]John G. Taylor:
A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j88]John G. Taylor:
Cognitive Computation. Cogn. Comput. 1(1): 4-16 (2009) - [j87]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 Vis. Comput. 27(11): 1641-1657 (2009) - [j86]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) - [j85]Stefan Wermter, M. Page, Michael Knowles, Vittorio Gallese, Friedemann Pulvermüller, John G. Taylor:
Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. Neural Networks 22(2): 111-115 (2009) - [j84]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) - [c73]Matthew Hartley, John G. Taylor:
Mental Simulation, Attention and Creativity. ICANN (2) 2009: 40-53 - [c72]John G. Taylor:
Can consciousness ever be modelled? IJCNN 2009: 3102-3103 - [c71]John G. Taylor, Matthew Hartley:
Neural architectures for thinking, reasoning and being conscious. IJCNN 2009: 3104-3110 - 2008
- [j83]John G. Taylor, Matthew Hartley:
Exploring cognitive machines - Neural models of reasoning, illustrated through the two-sticks paradigm. Neurocomputing 71(13-15): 2411-2419 (2008) - [j82]Kenji Doya, Stephen Grossberg, John G. Taylor:
Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008) - [c70]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 - [c69]Matthew Hartley, John G. Taylor:
Towards a Neural Model of Mental Simulation. ICANN (2) 2008: 969-979 - 2007
- [j81]John G. Taylor, Matthew Hartley:
Through Reasoning to Cognitive Machines. IEEE Comput. Intell. Mag. 2(3): 12-24 (2007) - [j80]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor:
Occlusion, attention and object representations. Integr. Comput. Aided Eng. 14(4): 283-306 (2007) - [j79]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. Cogn. Neurosci. 19(8): 1316-1322 (2007) - [j78]Laetitia Silvert, Jöran Lepsien, Nickolaos F. Fragopanagos, Brian A. Goolsby, Monika Kiss, John G. Taylor, Jane E. Raymond, Kimron L. Shapiro, Martin Eimer, Anna Christina Nobre:
Influence of attentional demands on the processing of emotional facial expressions in the amygdala. NeuroImage 38(2): 357-366 (2007) - [j77]Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
Editorial for 2007: Another year of exciting special issues! Neural Networks 20(1): 10-11 (2007) - [j76]John G. Taylor, Walter J. Freeman, Axel Cleeremans:
Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007) - [j75]John G. Taylor:
CODAM: A neural network model of consciousness. Neural Networks 20(9): 983-992 (2007) - [j74]John G. Taylor, Nickolaos F. Fragopanagos:
Resolving some confusions over attention and consciousness. Neural Networks 20(9): 993-1003 (2007) - [j73]John G. Taylor:
Commentary on the 'small network' argument. Neural Networks 20(9): 1059-1060 (2007) - [j72]John G. Taylor:
CODAM model: Through attention to consciousness. Scholarpedia 2(11): 1598 (2007) - [c68]Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor:
An Attention-Based Architecture for Context Switch Detection. The Disappearing Computer 2007: 205-229 - [c67]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 - [c66]John G. Taylor, Nickolaos F. Fragopanagos:
Modelling the N2pc and Its Interaction with Value. ICANN (2) 2007: 879-888 - [c65]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 - [c64]Neill R. Taylor, John G. Taylor:
A Novel Novelty Detector. ICANN (2) 2007: 973-983 - [c63]John G. Taylor:
The Role of Attention in Creating a Cognitive System. WAPCV 2007: 21-41 - [p17]John G. Taylor:
The Human Brain as a Hierarchical Intelligent Control System. Challenges for Computational Intelligence 2007: 99-122 - 2006
- [j71]John G. Taylor:
Attention as the control system of the brain. Int. J. Gen. Syst. 35(3): 361-376 (2006) - [j70]Nickolaos F. Fragopanagos, John G. Taylor:
Modelling the interaction of attention and emotion. Neurocomputing 69(16-18): 1977-1983 (2006) - [j69]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) - [j68]John G. Taylor, Anna Christina Nobre, Kimron L. Shapiro:
Introduction to the special issue on 'Brain & Attention'. Neural Networks 19(9): 1321-1328 (2006) - [j67]Neill R. Taylor, Matthew Hartley, John G. Taylor:
The micro-structure of attention. Neural Networks 19(9): 1347-1370 (2006) - [j66]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) - [c62]John G. Taylor:
Towards a Control Theory of Attention. ICANN (2) 2006: 461-470 - [c61]John G. Taylor:
Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. ICANN (1) 2006: 535-542 - [c60]John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten:
Modelling Working Memory Through Attentional Mechanisms. ICANN (1) 2006: 553-562 - [c59]John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley:
A Basis for Cognitive Machines. ICANN (1) 2006: 573-582 - [c58]Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor:
Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601 - [c57]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
- [j65]John G. Taylor:
Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). Artif. Intell. 169(2): 192-195 (2005) - [j64]Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
A year of exciting Special Issues! Neural Networks 18(1): 13- (2005) - [j63]John G. Taylor, Klaus R. Scherer, Roddy Cowie:
Emotion and brain: Understanding emotions and modelling their recognition. Neural Networks 18(4): 313-316 (2005) - [j62]John G. Taylor, Nickolaos F. Fragopanagos:
The interaction of attention and emotion. Neural Networks 18(4): 353-369 (2005) - [j61]Nickolaos F. Fragopanagos, John G. Taylor:
Emotion recognition in human-computer interaction. Neural Networks 18(4): 389-405 (2005) - [j60]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) - [c56]Neill R. Taylor, Matthew Hartley, John G. Taylor:
Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) 2005: 57-63 - [c55]Stathis Kasderidis, John G. Taylor:
Combining Attention and Value Maps. ICANN (1) 2005: 79-84 - [c54]John G. Taylor:
A Review of Cognitive Processing in the Brain. ICANN (1) 2005: 97-102 - [c53]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 - [c52]John G. Taylor, Matthew Hartley, Neill R. Taylor:
Attention as sigma-pi controlled ACh-based feedback. IJCNN 2005: 256-261 - [c51]John G. Taylor:
Neural networks of the brain: their analysis and relation to brain images. IJCNN 2005: 1603-1608 - [c50]John G. Taylor, Nickolaos F. Fragopanagos:
Modelling the interaction of attention and emotion. IJCNN 2005: 1663-1668 - [c49]Matthew Hartley, Neill R. Taylor, John G. Taylor:
Knowing your place: subfield specific involvement in hippocampal spatial processing. IJCNN 2005: 2879-2884 - 2004
- [j59]John G. Taylor:
A review of brain-based neuro-cognitive models. Cogn. Process. 5(4): 199-217 (2004) - [j58]Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor:
Journal of Applied Logic Special Volume on Neural-Symbolic Systems. J. Appl. Log. 2(3): 241-243 (2004) - [j57]Stathis Kasderidis, John G. Taylor:
Attentional Agents and robot control. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 69-89 (2004) - [j56]Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
Another exciting year for the INNS/ENNS/JNNS journal! Neural Networks 17(1): 1 (2004) - [j55]Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor:
A general framework for learning rules from data. IEEE Trans. Neural Networks 15(6): 1333-1349 (2004) - [c48]Kaustubh Chokshi, Christo Panchev, Stefan Wermter, John G. Taylor:
Knowing what and where: a computational model for visual attention. IJCNN 2004 - [c47]Nickolaos F. Fragopanagos, John G. Taylor:
The effect of emotional bias in attentional processes. IJCNN 2004 - [c46]Matthew Hartley, Neill R. Taylor, John G. Taylor:
Deep sleep: understanding the process of hippocampal playback and plasticity. IJCNN 2004 - [c45]Stathis Kasderidis, John G. Taylor:
Attention-based learning. IJCNN 2004 - [c44]John G. Taylor:
CHIMERA: creating a new generation chip by brain guidance. IJCNN 2004: 1989-1994 - [c43]John G. Taylor, Nickolaos F. Fragopanagos:
Modelling human attention and emotions. IJCNN 2004 - 2003
- [j54]Winfried A. Fellenz, John G. Taylor:
The hidden-layer model of hippocampus. Neurocomputing 50: 31-50 (2003) - [j53]Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
Celebrating the Year with a Special Issue for IJCNN'03. Neural Networks 16(1): 1 (2003) - [c42]Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi:
Drawing Attention to the Dangerous. ICANN 2003: 909-916 - [c41]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 - [c40]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 - [c39]Andreas A. Ioannides, John G. Taylor:
Testing models of attention with MEG. IJCNN 2003: 287-291 - [c38]John G. Taylor:
The CODAM model of attention and consciousness. IJCNN 2003: 292-297 - [c37]John G. Taylor, Nickolaos F. Fragopanagos:
Simulations of attention control models in sensory and motor paradigms. IJCNN 2003: 298-303 - [c36]John G. Taylor, Nickolaos F. Fragopanagos:
ANNA: An Artificial Neural Network for Attention to Emotional Recognition. KES 2003: 607-614 - [c35]Stathis Kasderidis, John G. Taylor:
Attention-Based Robot Control. KES 2003: 615-621 - [c34]John G. Taylor:
The CODAM Model and Deficits of Consciousness I: CODAM. KES 2003: 1130-1139 - [c33]John G. Taylor:
CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. KES 2003: 1140-1148 - [p16]John G. Taylor:
Towards Global Principles of Brain Processing. Computational Models for Neuroscience 2003: 221-243 - [p15]Neill R. Taylor, John G. Taylor:
The Neural Networks for Language in the Brain: Creating LAD. Computational Models for Neuroscience 2003: 245-265 - 2002
- [j52]Winfried A. Fellenz, John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields. Neurocomputing 48(1-4): 313-322 (2002) - [j51]Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
Editorial for 2002: A Time of Exuberant Development. Neural Networks 15(1): 1- (2002) - [j50]John G. Taylor, M. Rogers:
A control model of the movement of attention. Neural Networks 15(3): 309-326 (2002) - [p14]John G. Taylor:
Introduction to the Financial Markets. Neural Networks and the Financial Markets 2002: 3-9 - [p13]John G. Taylor:
Univariate and Multivariate Time Series Predictions. Neural Networks and the Financial Markets 2002: 11-22 - [p12]John G. Taylor:
General Form of Models of Financial Markets. Neural Networks and the Financial Markets 2002: 49-53 - [p11]Jimmy Shadbolt, John G. Taylor:
Input Selection. Neural Networks and the Financial Markets 2002: 77-83 - [p10]John G. Taylor:
Neural Networks. Neural Networks and the Financial Markets 2002: 87-93 - [p9]Neep Hazarika, John G. Taylor:
Vector Machines. Neural Networks and the Financial Markets 2002: 117-121 - [p8]Neep Hazarika, John G. Taylor:
Predicting Bonds Using the Linear Relevance Vector Machine. Neural Networks and the Financial Markets 2002: 145-155 - [p7]Neep Hazarika, John G. Taylor:
Combining Models. Neural Networks and the Financial Markets 2002: 211-217 - [p6]John G. Taylor:
Multi-Agent Modelling. Neural Networks and the Financial Markets 2002: 247-252 - [p5]John G. Taylor:
Financial Prediction Modelling: Summary and Future Avenues. Neural Networks and the Financial Markets 2002: 253-258 - [e2]Jimmy Shadbolt, John G. Taylor:
Neural Networks and the Financial Markets - Predicting, Combining and Portfolio Optimisation. Perspectives in Neural Computing, Springer 2002, ISBN 978-1-85233-531-1 [contents] - 2001
- [j49]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) - [j48]Roddy Cowie, Ellen Douglas-Cowie, Nicolas Tsapatsoulis, George N. Votsis, Stefanos D. Kollias, Winfried A. Fellenz, John G. Taylor:
Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18(1): 32-80 (2001) - [j47]Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor:
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 65-76 (2001) - [c32]Neill R. Taylor, John G. Taylor:
Neural Nets for Short Movements in Natural Language Processing. ICANN 2001: 1205-1210 - [c31]John G. Taylor:
Images of the Mind: Brain Images and Neural Networks. Emergent Neural Computational Architectures Based on Neuroscience 2001: 20-38 - 2000
- [j46]John G. Taylor, Neill R. Taylor:
Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. Biol. Cybern. 82(5): 415-432 (2000) - [j45]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) - [j44]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) - [j43]Barry Horwitz, Karl J. Friston, John G. Taylor:
Neural modeling and functional brain imaging: an overview. Neural Networks 13(8-9): 829-846 (2000) - [j42]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) - [j41]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) - [j40]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) - [c30]Winfried A. Fellenz, John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields. ESANN 2000: 431-436 - [c29]John G. Taylor:
A General Framework for the Functions of the Brain. IJCNN (1) 2000: 35-40 - [c28]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 - [c27]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 - [c26]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 - [c25]John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas:
Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) 2000: 99-104 - [c24]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 - [c23]John G. Taylor:
Towards Understanding Images of the Mind. IJCNN (1) 2000: 177-184 - [c22]Winfried A. Fellenz, John G. Taylor:
The Hidden Layer Associative Memory Model of Hippocampus. IJCNN (2) 2000: 205-210 - [c21]Neill R. Taylor, John G. Taylor:
Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) 2000: 217-224 - [c20]John G. Taylor:
Bringing AI and Soft Computing Together: A Neurobiological Perspective. Intelligent Systems and Soft Computing 2000: 41-71
1990 – 1999
- 1999
- [j39]John G. Taylor:
Neural 'bubble' dynamics in two dimensions: foundations. Biol. Cybern. 80(6): 393-409 (1999) - [j38]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) - [j37]Patrick J. C. May, Hannu Tiitinen, Risto J. Ilmoniemi, Göte Nyman, John G. Taylor, Risto Näätänen:
Frequency Change Detection in Human Auditory Cortex. J. Comput. Neurosci. 6(2): 99-120 (1999) - [j36]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) - [j35]John G. Taylor:
Towards the networks of the brain: from brain imaging to consciousness. Neural Networks 12(7-8): 943-959 (1999) - [j34]John G. Taylor, Andreas A. Ioannides, Hans-W. Müller-Gärtner:
Mathematical Analysis of Lead Field Expansions. IEEE Trans. Medical Imaging 18(2): 151-163 (1999) - [c19]Neill R. Taylor, John G. Taylor:
Learning to generate temporal sequences by models of frontal lobes. IJCNN 1999: 38-41 - [c18]John G. Taylor:
A mathematical analysis of adaptive synapses. IJCNN 1999: 46-51 - [c17]John G. Taylor:
Neural networks for consciousness: the central representation. IJCNN 1999: 91-96 - [c16]Winfried A. Fellenz, John G. Taylor:
Enhancing the storage capacity of binary associative memories. IJCNN 1999: 775-780 - [c15]Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor:
Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. IJCNN 1999: 1850-1855 - 1998
- [j33]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) - [c14]Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse:
Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. Bildverarbeitung für die Medizin 1998 - [p4]John G. Taylor:
Neural Networks: An Overview. Concepts for Neural Networks 1998: 1-12 - [p3]John G. Taylor:
Neurobiological Modelling. Concepts for Neural Networks 1998: 71-93 - [p2]John G. Taylor:
Neural Networks and the Mind. Concepts for Neural Networks 1998: 243-268 - [p1]L. J. Landau, John G. Taylor:
Round Table Discussion. Concepts for Neural Networks 1998: 275-301 - [e1]L. J. Landau, John G. Taylor:
Concepts for Neural Networks - A Survey. Perspectives in Neural Computing, Springer 1998, ISBN 978-3-540-76163-1 [contents] - 1997
- [j32]Denise Gorse, David A. Romano-Critchley, John G. Taylor:
A pulse-based reinforcement algorithm for learning continuous functions. Neurocomputing 14(4): 319-344 (1997) - [j31]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 Comput. 9(5): 985-1000 (1997) - [j30]Denise Gorse, Adrian J. Shepherd, John G. Taylor:
The New ERA in Supervised Learning. Neural Networks 10(2): 343-352 (1997) - [j29]Dirk Husmeier, John G. Taylor:
Predicting Conditional Probability Densities of Stationary Stochastic Time Series. Neural Networks 10(3): 479-497 (1997) - [j28]John G. Taylor, Hans-W. Müller-Gärtner:
Non-Invasive Analysis of Awareness. Neural Networks 10(7): 1185-1194 (1997) - [j27]John G. Taylor:
Neural networks for consciousness. Neural Networks 10(7): 1207-1225 (1997) - [j26]Bruno Apolloni, Diego de Falco, John G. Taylor:
pRAM layout optimisation. Neural Networks 10(9): 1709-1716 (1997) - [c13]Dirk Husmeier, John G. Taylor:
Modeling Conditional Probabilities with Committees of RVFL Networks. ICANN 1997: 1053-1058 - [c12]Dirk Husmeier, John G. Taylor:
Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL Network. ICANNGA 1997: 477-481 - [c11]Oury Monchi, John G. Taylor:
Models of Coupled Anterior Working Memories for Frontal Tasks. NCPW 1997: 142-154 - [c10]John G. Taylor:
Neural Networks and the Emergence of Consciousness. NCPW 1997: 168-182 - [c9]Paulo J. L. Adeodato, John G. Taylor:
Stability analysis of pRAM reinforcement learning. SBRN 1997: 41-50 - 1996
- [j25]John G. Taylor:
Breakthrough to awareness: a preliminary neural network model of conscious and unconscious perception in word processing. Biol. Cybern. 75(1): 59-72 (1996) - [j24]John G. Taylor:
A competition for consciousness? Neurocomputing 11(2-4): 271-296 (1996) - [j23]Stephen Coombes, John G. Taylor:
Using Features for the Storage of Patterns in a Fully Connected Net. Neural Networks 9(5): 837-844 (1996) - [j22]Valeriu Beiu, John G. Taylor:
On the Circuit Complexity of Sigmoid Feedforward Neural Networks. Neural Networks 9(7): 1155-1171 (1996) - [c8]Paulo J. L. Adeodato, John G. Taylor:
Autoassociative Memory with high Storage Capacity. ICANN 1996: 29-34 - 1995
- [j21]John G. Taylor, F. N. Alavi:
A global competitive neural network. Biol. Cybern. 72(3): 233-248 (1995) - [j20]Marco Budinich, John G. Taylor:
On the Ordering Conditions for Self-Organizing Maps. Neural Comput. 7(2): 284-289 (1995) - [j19]Trevor G. Clarkson, John G. Taylor, Denise Gorse:
Response to letter by K. Gurney. Neural Networks 8(3): 491- (1995) - [j18]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) - [c7]Valeriu Beiu, John G. Taylor:
VLSI Optimal Neural Network Learning Algorithm. ICANNGA 1995: 61-64 - [c6]Yelin Guan, Trevor G. Clarkson, John G. Taylor:
Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. IWANN 1995: 441-447 - [c5]Valeriu Beiu, John G. Taylor:
Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. IWANN 1995: 822-829 - [c4]Rasmus S. Petersen, John G. Taylor:
Reorganisation of Somatosensory Cortex after Tactile Training. NIPS 1995: 82-88 - [c3]J. C. Lemm, Valeriu Beiu, John G. Taylor:
Density Estimation as a Preprocessing Step for Constructive Algorithms. SNN Symposium on Neural Networks 1995: 213-216 - 1994
- [j17]Yelin Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse:
Noisy reinforcement training for pRAM nets. Neural Networks 7(3): 523-528 (1994) - [j16]Stephen Grossberg, John G. Taylor:
Introduction: 1994 Special issue. Neural Networks 7(6-7): 863- (1994) - [j15]Paul C. Bressloff, John G. Taylor:
Dynamics of compartmental model neurons. Neural Networks 7(6-7): 1153-1165 (1994) - [j14]John G. Taylor:
Goals, drives, and consciousness. Neural Networks 7(6-7): 1181-1190 (1994) - 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 - [j13]Paul C. Bressloff, John G. Taylor:
Compartmental-model response function for dendritic trees. Biol. Cybern. 70(2): 199-207 (1993) - [j12]Stephen Grossberg, John G. Taylor:
The fifth anniversary of neural networks. Neural Networks 6(1): 1 (1993) - [j11]John G. Taylor, Stephen Coombes:
Learning higher order correlations. Neural Networks 6(3): 423-427 (1993) - [j10]Geoffrey J. Chappell, John G. Taylor:
The temporal Kohönen map. Neural Networks 6(3): 441-445 (1993) - [j9]Trevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse:
Generalization in probabilistic RAM nets. IEEE Trans. Neural Networks 4(2): 360-363 (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
- [j8]Shun-ichi Amari, Stephen Grossberg, John G. Taylor:
Editorial. Neural Networks 5(1): 1 (1992) - [j7]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
- [j6]John G. Taylor:
Neural Network Capacity for Temporal Sequence Storage. Int. J. Neural Syst. 2(1-2): 47-54 (1991) - [j5]John G. Taylor:
Naturally intelligent systems: M Caudill and C Butler. Knowl. Based Syst. 4(4): 247- (1991) - [j4]Denise Gorse, John G. Taylor:
A continuous input RAM-based stochastic neural model. Neural Networks 4(5): 657-665 (1991) - [j3]Michael Reiss, John G. Taylor:
Storing temporal sequences. Neural Networks 4(6): 773-787 (1991) - [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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