John G. Taylor

196 papers A 1B 29C 6Misc 3Journal 99Unranked 38

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents. Cogn. Comput. Vassilis Cutsuridis, John G. Taylor
2013	J	`jnl`	Activity Propagation in a Network of Coincidence-Detecting Neurons. Cogn. Comput. Guido Bugmann, John G. Taylor
2013	J	`jnl`	Learning by Gossip: A Principled Information Exchange Model in Social Networks. Cogn. Comput. Bruno Apolloni, Dario Malchiodi, John G. Taylor
2013	J	`jnl`	Observational Learning: Basis, Experimental Results and Models, and Implications for Robotics. Cogn. Comput. John G. Taylor, Vassilis Cutsuridis, Matthew Hartley, Kaspar Althoefer, D. P. Thrishantha Nanayakkara
2012	J	`jnl`	Expedited review process. Neural Networks Kenji Doya, John G. Taylor, DeLiang Wang
2011	J	`jnl`	An excellent year and a transition. Neural Networks Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang
2011	J	`jnl`	Consciousness Versus Attention. Cogn. Comput. John G. Taylor
2011	—	`conf`	Deciding in uncertainy: The creativity effects. CCMB John G. Taylor
2011	J	`jnl`	Editorial Notes. Cogn. Comput. John G. Taylor, Vassilis Cutsuridis
2011	J	`jnl`	Saliency, Attention, Active Visual Search, and Picture Scanning. Cogn. Comput. John G. Taylor, Vassilis Cutsuridis
2010	B	`conf`	A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system. IJCNN John G. Taylor
2010	—	`conf`	Consciousness versus Attention. ICANN (3) John G. Taylor
2010	J	`jnl`	Editorial for 2010. Neural Networks Kenji Doya, Stephen Grossberg, John G. Taylor
2010	J	`jnl`	On artificial brains. Neurocomputing John G. Taylor
2010	B	`conf`	The creativity effect: Consciousness versus attention. IJCNN John G. Taylor
2009	J	`jnl`	A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning. Image Vis. Comput. John G. Taylor, Matthew Hartley, Neill R. Taylor, Christo Panchev, Stathis Kasderidis
2009	B	`conf`	Can consciousness ever be modelled? IJCNN John G. Taylor
2009	J	`jnl`	Cognitive Computation. Cogn. Comput. John G. Taylor
2009	—	`conf`	Mental Simulation, Attention and Creativity. ICANN (2) Matthew Hartley, John G. Taylor
2009	J	`jnl`	Microcircuits - Their structure, dynamics and role for brain function. Neural Networks Vassilis Cutsuridis, Thomas Wennekers, Bruce P. Graham, Imre Vida, John G. Taylor
2009	J	`jnl`	Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. Neural Networks Stefan Wermter, M. Page, Michael Knowles, Vittorio Gallese, Friedemann Pulvermüller, John G. Taylor
2009	B	`conf`	Neural architectures for thinking, reasoning and being conscious. IJCNN John G. Taylor, Matthew Hartley
2009	J	`jnl`	New action editors join the journal! Five exciting special issues in the works! Neural Networks Kenji Doya, Stephen Grossberg, John G. Taylor
2008	J	`jnl`	Exploring cognitive machines - Neural models of reasoning, illustrated through the two-sticks paradigm. Neurocomputing John G. Taylor, Matthew Hartley
2008	J	`jnl`	Neural Networks goes electronic at twenty! Neural Networks Kenji Doya, Stephen Grossberg, John G. Taylor
2008	—	`conf`	Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm. ICANN (2) Matthew Hartley, Jacqueline Fagard, Rana Esseily, John G. Taylor
2008	—	`conf`	Towards a Neural Model of Mental Simulation. ICANN (2) Matthew Hartley, John G. Taylor
2007	—	`conf`	A Novel Novelty Detector. ICANN (2) Neill R. Taylor, John G. Taylor
2007	—	`conf`	A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements. ICANN (2) Matthew Hartley, John G. Taylor
2007	—	`conf`	An Attention-Based Architecture for Context Switch Detection. The Disappearing Computer Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor
2007	J	`jnl`	CODAM model: Through attention to consciousness. Scholarpedia John G. Taylor
2007	J	`jnl`	CODAM: A neural network model of consciousness. Neural Networks John G. Taylor
2007	J	`jnl`	Commentary on the 'small network' argument. Neural Networks John G. Taylor
2007	J	`jnl`	Editorial for 2007: Another year of exciting special issues! Neural Networks Stephen Grossberg, Mitsuo Kawato, John G. Taylor
2007	J	`jnl`	Efficient Attentional Selection Predicts Distractor Devaluation: Event-related Potential Evidence for a Direct Link between Attention and Emotion. J. Cogn. Neurosci. Monika Kiss, Brian A. Goolsby, Jane E. Raymond, Kimron L. Shapiro, Laetitia Silvert, Anna Christina Nobre, Nickolaos F. Fragopanagos, John G. Taylor, Martin Eimer
2007	J	`jnl`	Influence of attentional demands on the processing of emotional facial expressions in the amygdala. NeuroImage 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
2007	J	`jnl`	Introduction to the special issue on 'Brain and Consciousness'. Neural Networks John G. Taylor, Walter J. Freeman, Axel Cleeremans
2007	—	`conf`	Modelling the N2pc and Its Interaction with Value. ICANN (2) John G. Taylor, Nickolaos F. Fragopanagos
2007	—	`conf`	Neural Substructures for Appraisal in Emotion: Self-esteem and Depression. ICANN (2) Nienke J. H. Korsten, Nickolaos F. Fragopanagos, John G. Taylor
2007	J	`jnl`	Occlusion, attention and object representations. Integr. Comput. Aided Eng. Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor
2007	J	`jnl`	Resolving some confusions over attention and consciousness. Neural Networks John G. Taylor, Nickolaos F. Fragopanagos
2007	—	`ch.`	The Human Brain as a Hierarchical Intelligent Control System. Challenges for Computational Intelligence John G. Taylor
2007	—	`conf`	The Role of Attention in Creating a Cognitive System. WAPCV John G. Taylor
2007	J	`jnl`	Through Reasoning to Cognitive Machines. IEEE Comput. Intell. Mag. John G. Taylor, Matthew Hartley
2006	—	`conf`	A Basis for Cognitive Machines. ICANN (1) John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley
2006	B	`conf`	A neural model of the enhancement of perception caused by emotional cues. IJCNN Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor
2006	J	`jnl`	Attention as a controller. Neural Networks Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor
2006	J	`jnl`	Attention as the control system of the brain. Int. J. Gen. Syst. John G. Taylor
2006	J	`jnl`	Introduction to the special issue on 'Brain & Attention'. Neural Networks John G. Taylor, Anna Christina Nobre, Kimron L. Shapiro
2006	—	`conf`	Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. ICANN (1) John G. Taylor
2006	—	`conf`	Modelling Working Memory Through Attentional Mechanisms. ICANN (1) John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten
2006	J	`jnl`	Modelling the interaction of attention and emotion. Neurocomputing Nickolaos F. Fragopanagos, John G. Taylor
2006	—	`conf`	Occlusion, Attention and Object Representations. ICANN (1) Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor
2006	J	`jnl`	The micro-structure of attention. Neural Networks Neill R. Taylor, Matthew Hartley, John G. Taylor
2006	—	`conf`	Towards a Control Theory of Attention. ICANN (2) John G. Taylor
2006	J	`jnl`	Understanding spike-time-dependent plasticity: A biologically motivated computational model. Neurocomputing Matthew Hartley, Neill R. Taylor, John G. Taylor
2005	—	`conf`	A Review of Cognitive Processing in the Brain. ICANN (1) John G. Taylor
2005	J	`jnl`	A year of exciting Special Issues! Neural Networks Stephen Grossberg, Mitsuo Kawato, John G. Taylor
2005	A	`conf`	An intelligent system for facial emotion recognition. ICME Roddy Cowie, Ellen Douglas-Cowie, John G. Taylor, Spiros Ioannou, Manolis Wallace, Stefanos D. Kollias
2005	B	`conf`	Attention as sigma-pi controlled ACh-based feedback. IJCNN John G. Taylor, Matthew Hartley, Neill R. Taylor
2005	—	`conf`	Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) Neill R. Taylor, Matthew Hartley, John G. Taylor
2005	—	`conf`	Combining Attention and Value Maps. ICANN (1) Stathis Kasderidis, John G. Taylor
2005	J	`jnl`	Emotion and brain: Understanding emotions and modelling their recognition. Neural Networks John G. Taylor, Klaus R. Scherer, Roddy Cowie
2005	J	`jnl`	Emotion recognition in human-computer interaction. Neural Networks Nickolaos F. Fragopanagos, John G. Taylor
2005	J	`jnl`	Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). Artif. Intell. John G. Taylor
2005	B	`conf`	Knowing your place: subfield specific involvement in hippocampal spatial processing. IJCNN Matthew Hartley, Neill R. Taylor, John G. Taylor
2005	B	`conf`	Modelling the interaction of attention and emotion. IJCNN John G. Taylor, Nickolaos F. Fragopanagos
2005	B	`conf`	Neural networks of the brain: their analysis and relation to brain images. IJCNN John G. Taylor
2005	J	`jnl`	Subfield variations in hippocampal processing--components of a spatial navigation system. Neural Networks Matthew Hartley, Neill R. Taylor, John G. Taylor
2005	J	`jnl`	The interaction of attention and emotion. Neural Networks John G. Taylor, Nickolaos F. Fragopanagos
2004	J	`jnl`	A general framework for learning rules from data. IEEE Trans. Neural Networks Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor
2004	J	`jnl`	A review of brain-based neuro-cognitive models. Cogn. Process. John G. Taylor
2004	J	`jnl`	Another exciting year for the INNS/ENNS/JNNS journal! Neural Networks Stephen Grossberg, Mitsuo Kawato, John G. Taylor
2004	B	`conf`	Attention-based learning. IJCNN Stathis Kasderidis, John G. Taylor
2004	J	`jnl`	Attentional Agents and robot control. Int. J. Knowl. Based Intell. Eng. Syst. Stathis Kasderidis, John G. Taylor
2004	B	`conf`	CHIMERA: creating a new generation chip by brain guidance. IJCNN John G. Taylor
2004	B	`conf`	Deep sleep: understanding the process of hippocampal playback and plasticity. IJCNN Matthew Hartley, Neill R. Taylor, John G. Taylor
2004	J	`jnl`	Journal of Applied Logic Special Volume on Neural-Symbolic Systems. J. Appl. Log. Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor
2004	B	`conf`	Knowing what and where: a computational model for visual attention. IJCNN Kaustubh Chokshi, Christo Panchev, Stefan Wermter, John G. Taylor
2004	B	`conf`	Modelling human attention and emotions. IJCNN John G. Taylor, Nickolaos F. Fragopanagos
2004	B	`conf`	The effect of emotional bias in attentional processes. IJCNN Nickolaos F. Fragopanagos, John G. Taylor
2003	B	`conf`	ANNA: An Artificial Neural Network for Attention to Emotional Recognition. KES John G. Taylor, Nickolaos F. Fragopanagos
2003	C	`conf`	An Emotional Recognition Architecture Based on Human Brain Structure. ICANN John G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias
2003	B	`conf`	Attention-Based Robot Control. KES Stathis Kasderidis, John G. Taylor
2003	B	`conf`	CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. KES John G. Taylor
2003	J	`jnl`	Celebrating the Year with a Special Issue for IJCNN'03. Neural Networks Stephen Grossberg, Mitsuo Kawato, John G. Taylor
2003	C	`conf`	Drawing Attention to the Dangerous. ICANN Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi
2003	C	`conf`	Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis. ICANN Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor
2003	B	`conf`	Simulations of attention control models in sensory and motor paradigms. IJCNN John G. Taylor, Nickolaos F. Fragopanagos
2003	B	`conf`	Testing models of attention with MEG. IJCNN Andreas A. Ioannides, John G. Taylor
2003	B	`conf`	The CODAM Model and Deficits of Consciousness I: CODAM. KES John G. Taylor
2003	B	`conf`	The CODAM model of attention and consciousness. IJCNN John G. Taylor
2003	—	`ch.`	The Neural Networks for Language in the Brain: Creating LAD. Computational Models for Neuroscience Neill R. Taylor, John G. Taylor
2003	J	`jnl`	The hidden-layer model of hippocampus. Neurocomputing Winfried A. Fellenz, John G. Taylor
2003	—	`ch.`	Towards Global Principles of Brain Processing. Computational Models for Neuroscience John G. Taylor
2002	J	`jnl`	A control model of the movement of attention. Neural Networks John G. Taylor, M. Rogers
2002	—	`ch.`	Combining Models. Neural Networks and the Financial Markets Neep Hazarika, John G. Taylor
2002	J	`jnl`	Editorial for 2002: A Time of Exuberant Development. Neural Networks Stephen Grossberg, Mitsuo Kawato, John G. Taylor
2002	J	`jnl`	Establishing retinotopy by lateral-inhibition type homogeneous neural fields. Neurocomputing Winfried A. Fellenz, John G. Taylor
2002	—	`ch.`	Financial Prediction Modelling: Summary and Future Avenues. Neural Networks and the Financial Markets John G. Taylor
2002	—	`ch.`	General Form of Models of Financial Markets. Neural Networks and the Financial Markets John G. Taylor
2002	—	`ch.`	Input Selection. Neural Networks and the Financial Markets Jimmy Shadbolt, John G. Taylor
2002	—	`ch.`	Introduction to the Financial Markets. Neural Networks and the Financial Markets John G. Taylor
2002	—	`ch.`	Multi-Agent Modelling. Neural Networks and the Financial Markets John G. Taylor
2002	—	`book`	Neural Networks and the Financial Markets - Predicting, Combining and Portfolio Optimisation Neural Networks and the Financial Markets Jimmy Shadbolt, John G. Taylor
2002	—	`ch.`	Neural Networks. Neural Networks and the Financial Markets John G. Taylor
2002	—	`ch.`	Predicting Bonds Using the Linear Relevance Vector Machine. Neural Networks and the Financial Markets Neep Hazarika, John G. Taylor
2002	—	`ch.`	Univariate and Multivariate Time Series Predictions. Neural Networks and the Financial Markets John G. Taylor
2002	—	`ch.`	Vector Machines. Neural Networks and the Financial Markets Neep Hazarika, John G. Taylor
2001	J	`jnl`	A dynamical model for the analysis and acceleration of learning in feedforward networks. Neural Networks Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
2001	J	`jnl`	Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. Roddy Cowie, Ellen Douglas-Cowie, Nicolas Tsapatsoulis, George N. Votsis, Stefanos D. Kollias, Winfried A. Fellenz, John G. Taylor
2001	—	`conf`	Images of the Mind: Brain Images and Neural Networks. Emergent Neural Computational Architectures Based on Neuroscience John G. Taylor
2001	C	`conf`	Neural Nets for Short Movements in Natural Language Processing. ICANN Neill R. Taylor, John G. Taylor
2001	J	`jnl`	Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Trans. Syst. Man Cybern. Syst. Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor
2000	—	`conf`	A General Framework for Symbol and Rule Extraction in Neural Networks. IJCNN (2) Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk
2000	—	`conf`	A General Framework for the Functions of the Brain. IJCNN (1) John G. Taylor
2000	J	`jnl`	A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions. Neural Networks Oury Monchi, John G. Taylor, Alain Dagher
2000	—	`conf`	Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. IJCNN (3) Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann
2000	J	`jnl`	Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. Biol. Cybern. John G. Taylor, Neill R. Taylor
2000	—	`conf`	Bringing AI and Soft Computing Together: A Neurobiological Perspective. Intelligent Systems and Soft Computing John G. Taylor
2000	—	`conf`	Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas
2000	J	`jnl`	Decomposing memory: functional assignments and brain traffic in paired word associate learning. Neural Networks John G. Taylor, Barry Horwitz, N. Jon Shah, Winfried A. Fellenz, Hans-W. Müller-Gärtner, Bernd J. Krause
2000	B	`conf`	Establishing retinotopy by lateral-inhibition type homogeneous neural fields. ESANN Winfried A. Fellenz, John G. Taylor
2000	J	`jnl`	Hard-wired models of working memory and temporal sequence storage and generation. Neural Networks Neill R. Taylor, John G. Taylor
2000	J	`jnl`	Imaging and neural modelling in episodic and working memory processes. Neural Networks Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy, Hans-W. Müller-Gärtner
2000	—	`conf`	Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) Neill R. Taylor, John G. Taylor
2000	J	`jnl`	Neural modeling and functional brain imaging: an overview. Neural Networks Barry Horwitz, Karl J. Friston, John G. Taylor
2000	—	`conf`	On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System. IJCNN (2) Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni
2000	—	`conf`	The Frontal Lobes and Executive Function. IJCNN (1) John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine
2000	—	`conf`	The Hidden Layer Associative Memory Model of Hippocampus. IJCNN (2) Winfried A. Fellenz, John G. Taylor
2000	J	`jnl`	The global brain: imaging and modelling: Introduction: 2000 Special Issue. Neural Networks John G. Taylor, Barry Horwitz, Karl J. Friston
2000	—	`conf`	Towards Understanding Images of the Mind. IJCNN (1) John G. Taylor
1999	J	`jnl`	A Hard Wired Model of Coupled Frontal Working memories for various Tasks. Inf. Sci. Oury Monchi, John G. Taylor
1999	B	`conf`	A mathematical analysis of adaptive synapses. IJCNN John G. Taylor
1999	B	`conf`	Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. IJCNN Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
1999	J	`jnl`	Dynamics of multilayer networks in the vicinity of temporary minima. Neural Networks Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
1999	B	`conf`	Enhancing the storage capacity of binary associative memories. IJCNN Winfried A. Fellenz, John G. Taylor
1999	J	`jnl`	Frequency Change Detection in Human Auditory Cortex. J. Comput. Neurosci. Patrick J. C. May, Hannu Tiitinen, Risto J. Ilmoniemi, Göte Nyman, John G. Taylor, Risto Näätänen
1999	B	`conf`	Learning to generate temporal sequences by models of frontal lobes. IJCNN Neill R. Taylor, John G. Taylor
1999	J	`jnl`	Mathematical Analysis of Lead Field Expansions. IEEE Trans. Medical Imaging John G. Taylor, Andreas A. Ioannides, Hans-W. Müller-Gärtner
1999	J	`jnl`	Neural 'bubble' dynamics in two dimensions: foundations. Biol. Cybern. John G. Taylor
1999	B	`conf`	Neural networks for consciousness: the central representation. IJCNN John G. Taylor
1999	J	`jnl`	Towards the networks of the brain: from brain imaging to consciousness. Neural Networks John G. Taylor
1998	—	`book`	Concepts for Neural Networks - A Survey Concepts for Neural Networks L. J. Landau, John G. Taylor
1998	—	`conf`	Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. Bildverarbeitung für die Medizin Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse
1998	—	`ch.`	Neural Networks and the Mind. Concepts for Neural Networks John G. Taylor
1998	J	`jnl`	Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL. Neural Networks Dirk Husmeier, John G. Taylor
1998	—	`ch.`	Neural Networks: An Overview. Concepts for Neural Networks John G. Taylor
1998	—	`ch.`	Neurobiological Modelling. Concepts for Neural Networks John G. Taylor
1998	—	`ch.`	Round Table Discussion. Concepts for Neural Networks L. J. Landau, John G. Taylor
1997	J	`jnl`	A pulse-based reinforcement algorithm for learning continuous functions. Neurocomputing Denise Gorse, David A. Romano-Critchley, John G. Taylor
1997	C	`conf`	Modeling Conditional Probabilities with Committees of RVFL Networks. ICANN Dirk Husmeier, John G. Taylor
1997	—	`conf`	Models of Coupled Anterior Working Memories for Frontal Tasks. NCPW Oury Monchi, John G. Taylor
1997	—	`conf`	Neural Networks and the Emergence of Consciousness. NCPW John G. Taylor
1997	J	`jnl`	Neural networks for consciousness. Neural Networks John G. Taylor
1997	J	`jnl`	Non-Invasive Analysis of Awareness. Neural Networks John G. Taylor, Hans-W. Müller-Gärtner
1997	J	`jnl`	Predicting Conditional Probability Densities of Stationary Stochastic Time Series. Neural Networks Dirk Husmeier, John G. Taylor
1997	—	`conf`	Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL Network. ICANNGA Dirk Husmeier, John G. Taylor
1997	J	`jnl`	Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset. Neural Comput. Guido Bugmann, Chris Christodoulou, John G. Taylor
1997	—	`conf`	Stability analysis of pRAM reinforcement learning. SBRN Paulo J. L. Adeodato, John G. Taylor
1997	J	`jnl`	The New ERA in Supervised Learning. Neural Networks Denise Gorse, Adrian J. Shepherd, John G. Taylor
1997	J	`jnl`	pRAM layout optimisation. Neural Networks Bruno Apolloni, Diego de Falco, John G. Taylor
1996	J	`jnl`	A competition for consciousness? Neurocomputing John G. Taylor
1996	C	`conf`	Autoassociative Memory with high Storage Capacity. ICANN Paulo J. L. Adeodato, John G. Taylor
1996	J	`jnl`	Breakthrough to awareness: a preliminary neural network model of conscious and unconscious perception in word processing. Biol. Cybern. John G. Taylor
1996	J	`jnl`	On the Circuit Complexity of Sigmoid Feedforward Neural Networks. Neural Networks Valeriu Beiu, John G. Taylor
1996	J	`jnl`	Using Features for the Storage of Patterns in a Fully Connected Net. Neural Networks Stephen Coombes, John G. Taylor
1995	J	`jnl`	A global competitive neural network. Biol. Cybern. John G. Taylor, F. N. Alavi
1995	—	`conf`	Density Estimation as a Preprocessing Step for Constructive Algorithms. SNN Symposium on Neural Networks J. C. Lemm, Valeriu Beiu, John G. Taylor
1995	Misc	`conf`	Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. IWANN Yelin Guan, Trevor G. Clarkson, John G. Taylor
1995	J	`jnl`	On the Ordering Conditions for Self-Organizing Maps. Neural Comput. Marco Budinich, John G. Taylor
1995	Misc	`conf`	Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. IWANN Valeriu Beiu, John G. Taylor
1995	—	`conf`	Reorganisation of Somatosensory Cortex after Tactile Training. NIPS Rasmus S. Petersen, John G. Taylor
1995	J	`jnl`	Response to letter by K. Gurney. Neural Networks Trevor G. Clarkson, John G. Taylor, Denise Gorse
1995	—	`conf`	VLSI Optimal Neural Network Learning Algorithm. ICANNGA Valeriu Beiu, John G. Taylor
1995	J	`jnl`	pRAM nets for detection of small targets in sequences of infra-red images. Neural Networks Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor
1994	J	`jnl`	Dynamics of compartmental model neurons. Neural Networks Paul C. Bressloff, John G. Taylor
1994	J	`jnl`	Goals, drives, and consciousness. Neural Networks John G. Taylor
1994	J	`jnl`	Introduction: 1994 Special issue. Neural Networks Stephen Grossberg, John G. Taylor
1994	J	`jnl`	Noisy reinforcement training for pRAM nets. Neural Networks Yelin Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse
1993	J	`jnl`	Compartmental-model response function for dendritic trees. Biol. Cybern. Paul C. Bressloff, John G. Taylor
1993	J	`jnl`	Generalization in probabilistic RAM nets. IEEE Trans. Neural Networks Trevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse
1993	J	`jnl`	Learning higher order correlations. Neural Networks John G. Taylor, Stephen Coombes
1993	—	`book`	Promise of neural networks. John G. Taylor
1993	Misc	`conf`	The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. IWANN Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor
1993	J	`jnl`	The fifth anniversary of neural networks. Neural Networks Stephen Grossberg, John G. Taylor
1993	J	`jnl`	The temporal Kohönen map. Neural Networks Geoffrey J. Chappell, John G. Taylor
1993	B	`conf`	Traking global minima using a range expansion algorithm. ESANN Denise Gorse, Adrian J. Shepherd, John G. Taylor
1992	J	`jnl`	Editorial. Neural Networks Shun-ichi Amari, Stephen Grossberg, John G. Taylor
1992	J	`jnl`	Learning Probabilistic RAM Nets Using VLSI Structures. IEEE Trans. Computers Trevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng
1991	J	`jnl`	A continuous input RAM-based stochastic neural model. Neural Networks Denise Gorse, John G. Taylor
1991	J	`jnl`	Discrete time leaky integrator network with synaptic noise. Neural Networks Paul C. Bressloff, John G. Taylor
1991	J	`jnl`	Naturally intelligent systems: M Caudill and C Butler. Knowl. Based Syst. John G. Taylor
1991	J	`jnl`	Neural Network Capacity for Temporal Sequence Storage. Int. J. Neural Syst. John G. Taylor
1991	J	`jnl`	Storing temporal sequences. Neural Networks Michael Reiss, John G. Taylor
1990	J	`jnl`	A silicon model of vertebrate retinal processing. Neural Networks John G. Taylor