John G. Taylor

According to our database, John G. Taylor authored at least 177 papers between 1990 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2013

Observational Learning: Basis, Experimental Results and Models, and Implications for Robotics.

John G. Taylor, Vassilis Cutsuridis, Matthew Hartley, Kaspar Althoefer, D. P. Thrishantha Nanayakkara

Cogn. Comput., 2013

A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents.

Vassilis Cutsuridis, John G. Taylor

Cogn. Comput., 2013

Activity Propagation in a Network of Coincidence-Detecting Neurons.

Guido Bugmann, John G. Taylor

Cogn. Comput., 2013

Learning by Gossip: A Principled Information Exchange Model in Social Networks.

Bruno Apolloni, Dario Malchiodi, John G. Taylor

Cogn. Comput., 2013

2012

Expedited review process.

Kenji Doya, John G. Taylor, DeLiang Wang

Neural Networks, 2012

2011

An excellent year and a transition.

Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang

Neural Networks, 2011

Editorial Notes.

John G. Taylor, Vassilis Cutsuridis

Cogn. Comput., 2011

Saliency, Attention, Active Visual Search, and Picture Scanning.

John G. Taylor, Vassilis Cutsuridis

Cogn. Comput., 2011

Consciousness Versus Attention.

John G. Taylor

Cogn. Comput., 2011

Deciding in uncertainy: The creativity effects.

John G. Taylor

Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010

Editorial for 2010.

Kenji Doya, Stephen Grossberg, John G. Taylor

Neural Networks, 2010

On artificial brains.

John G. Taylor

Neurocomputing, 2010

A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system.

John G. Taylor

Proceedings of the International Joint Conference on Neural Networks, 2010

The creativity effect: Consciousness versus attention.

John G. Taylor

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

New action editors join the journal! Five exciting special issues in the works!

Kenji Doya, Stephen Grossberg, John G. Taylor

Neural Networks, 2009

Microcircuits - Their structure, dynamics and role for brain function.

Vassilis Cutsuridis, Thomas Wennekers, Bruce P. Graham, Imre Vida, John G. Taylor

Neural Networks, 2009

A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning.

John G. Taylor, Matthew Hartley, Neill R. Taylor, Christo Panchev, Stathis Kasderidis

Image Vis. Comput., 2009

Cognitive Computation.

John G. Taylor

Cogn. Comput., 2009

Neural architectures for thinking, reasoning and being conscious.

John G. Taylor, Matthew Hartley

Proceedings of the International Joint Conference on Neural Networks, 2009

Can consciousness ever be modelled?

John G. Taylor

Proceedings of the International Joint Conference on Neural Networks, 2009

Mental Simulation, Attention and Creativity.

Matthew Hartley, John G. Taylor

Proceedings of the Artificial Neural Networks, 2009

2008

Neural Networks goes electronic at twenty!

Kenji Doya, Stephen Grossberg, John G. Taylor

Neural Networks, 2008

Exploring cognitive machines - Neural models of reasoning, illustrated through the two-sticks paradigm.

John G. Taylor, Matthew Hartley

Neurocomputing, 2008

Towards a Neural Model of Mental Simulation.

Matthew Hartley, John G. Taylor

Proceedings of the Artificial Neural Networks, 2008

Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm.

Matthew Hartley, Jacqueline Fagard, Rana Esseily, John G. Taylor

Proceedings of the Artificial Neural Networks, 2008

2007

The Human Brain as a Hierarchical Intelligent Control System.

John G. Taylor

Proceedings of the Challenges for Computational Intelligence, 2007

CODAM model: Through attention to consciousness.

John G. Taylor

Scholarpedia, 2007

Introduction to the special issue on 'Brain and Consciousness'.

John G. Taylor, Walter J. Freeman, Axel Cleeremans

Neural Networks, 2007

Resolving some confusions over attention and consciousness.

John G. Taylor, Nickolaos F. Fragopanagos

Neural Networks, 2007

Commentary on the 'small network' argument.

John G. Taylor

Neural Networks, 2007

CODAM: A neural network model of consciousness.

John G. Taylor

Neural Networks, 2007

Editorial for 2007: Another year of exciting special issues!

Stephen Grossberg, Mitsuo Kawato, John G. Taylor

Neural Networks, 2007

Influence of attentional demands on the processing of emotional facial expressions in the amygdala.

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

NeuroImage, 2007

Efficient Attentional Selection Predicts Distractor Devaluation: Event-related Potential Evidence for a Direct Link between Attention and Emotion.

Monika Kiss, Brian A. Goolsby, Jane E. Raymond, Kimron L. Shapiro, Laetitia Silvert, Anna Christina Nobre, Nickolaos F. Fragopanagos, John G. Taylor, Martin Eimer

J. Cogn. Neurosci., 2007

Occlusion, attention and object representations.

Neill R. Taylor, Christo Panchev, Matthew Hartley, Stathis Kasderidis, John G. Taylor

Integr. Comput. Aided Eng., 2007

Through Reasoning to Cognitive Machines.

John G. Taylor, Matthew Hartley

IEEE Comput. Intell. Mag., 2007

The Role of Attention in Creating a Cognitive System.

John G. Taylor

Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

A Novel Novelty Detector.

Neill R. Taylor, John G. Taylor

Proceedings of the Artificial Neural Networks, 2007

Modelling the N2pc and Its Interaction with Value.

John G. Taylor, Nickolaos F. Fragopanagos

Proceedings of the Artificial Neural Networks, 2007

Neural Substructures for Appraisal in Emotion: Self-esteem and Depression.

Nienke J. H. Korsten, Nickolaos F. Fragopanagos, John G. Taylor

Proceedings of the Artificial Neural Networks, 2007

A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements.

Matthew Hartley, John G. Taylor

Proceedings of the Artificial Neural Networks, 2007

An Attention-Based Architecture for Context Switch Detection.

Nicolas Tsapatsoulis, Stathis Kasderidis, John G. Taylor

Proceedings of the Disappearing Computer, 2007

2006

Introduction to the special issue on 'Brain & Attention'.

John G. Taylor, Anna Christina Nobre, Kimron L. Shapiro

Neural Networks, 2006

The micro-structure of attention.

Neill R. Taylor, Matthew Hartley, John G. Taylor

Neural Networks, 2006

Attention as a controller.

Nienke J. H. Korsten, Nickolaos F. Fragopanagos, Matthew Hartley, Neill R. Taylor, John G. Taylor

Neural Networks, 2006

Understanding spike-time-dependent plasticity: A biologically motivated computational model.

Matthew Hartley, Neill R. Taylor, John G. Taylor

Neurocomputing, 2006

Modelling the interaction of attention and emotion.

Nickolaos F. Fragopanagos, John G. Taylor

Neurocomputing, 2006

Attention as the control system of the brain.

John G. Taylor

Int. J. Gen. Syst., 2006

A neural model of the enhancement of perception caused by emotional cues.

Nickolaos F. Fragopanagos, Nienke J. H. Korsten, John G. Taylor

Proceedings of the International Joint Conference on Neural Networks, 2006

A Basis for Cognitive Machines.

John G. Taylor, Stathis Kasderidis, Panos E. Trahanias, Matthew Hartley

Proceedings of the Artificial Neural Networks, 2006

Modelling Working Memory Through Attentional Mechanisms.

John G. Taylor, Nickolaos F. Fragopanagos, Nienke J. H. Korsten

Proceedings of the Artificial Neural Networks, 2006

Towards a Control Theory of Attention.

John G. Taylor

Proceedings of the Artificial Neural Networks, 2006

Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future.

John G. Taylor

Proceedings of the Artificial Neural Networks, 2006

2005

Emotion and brain: Understanding emotions and modelling their recognition.

John G. Taylor, Klaus R. Scherer, Roddy Cowie

Neural Networks, 2005

The interaction of attention and emotion.

John G. Taylor, Nickolaos F. Fragopanagos

Neural Networks, 2005

Subfield variations in hippocampal processing--components of a spatial navigation system.

Matthew Hartley, Neill R. Taylor, John G. Taylor

Neural Networks, 2005

A year of exciting Special Issues!

Stephen Grossberg, Mitsuo Kawato, John G. Taylor

Neural Networks, 2005

Emotion recognition in human-computer interaction.

Nickolaos F. Fragopanagos, John G. Taylor

Neural Networks, 2005

Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004).

John G. Taylor

Artif. Intell., 2005

An intelligent system for facial emotion recognition.

Roddy Cowie, Ellen Douglas-Cowie, John G. Taylor, Spiros Ioannou, Manolis Wallace, Stefanos D. Kollias

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Coding of Objects in Low-Level Visual Cortical Areas.

Neill R. Taylor, Matthew Hartley, John G. Taylor

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

A Review of Cognitive Processing in the Brain.

John G. Taylor

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Combining Attention and Value Maps.

Stathis Kasderidis, John G. Taylor

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004

A general framework for learning rules from data.

Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor

IEEE Trans. Neural Networks, 2004

Another exciting year for the INNS/ENNS/JNNS journal!

Stephen Grossberg, Mitsuo Kawato, John G. Taylor

Neural Networks, 2004

Attentional Agents and robot control.

Stathis Kasderidis, John G. Taylor

Int. J. Knowl. Based Intell. Eng. Syst., 2004

Journal of Applied Logic Special Volume on Neural-Symbolic Systems.

Artur S. d'Avila Garcez, Dov M. Gabbay, Steffen Hölldobler, John G. Taylor

J. Appl. Log., 2004

A review of brain-based neuro-cognitive models.

John G. Taylor

Cogn. Process., 2004

2003

Celebrating the Year with a Special Issue for IJCNN'03.

Stephen Grossberg, Mitsuo Kawato, John G. Taylor

Neural Networks, 2003

The hidden-layer model of hippocampus.

Winfried A. Fellenz, John G. Taylor

Neurocomputing, 2003

ANNA: An Artificial Neural Network for Attention to Emotional Recognition.

John G. Taylor, Nickolaos F. Fragopanagos

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction.

John G. Taylor

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

The CODAM Model and Deficits of Consciousness I: CODAM.

John G. Taylor

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Attention-Based Robot Control.

Stathis Kasderidis, John G. Taylor

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

An Emotional Recognition Architecture Based on Human Brain Structure.

John G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Drawing Attention to the Dangerous.

Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis.

Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

The Neural Networks for Language in the Brain: Creating LAD.

Neill R. Taylor, John G. Taylor

Proceedings of the Computational Models for Neuroscience, 2003

Towards Global Principles of Brain Processing.

John G. Taylor

Proceedings of the Computational Models for Neuroscience, 2003

2002

A control model of the movement of attention.

John G. Taylor, M. Rogers

Neural Networks, 2002

Editorial for 2002: A Time of Exuberant Development.

Stephen Grossberg, Mitsuo Kawato, John G. Taylor

Neural Networks, 2002

Establishing retinotopy by lateral-inhibition type homogeneous neural fields.

Winfried A. Fellenz, John G. Taylor

Neurocomputing, 2002

Financial Prediction Modelling: Summary and Future Avenues.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Multi-Agent Modelling.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Neural Networks.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

General Form of Models of Financial Markets.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Univariate and Multivariate Time Series Predictions.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Introduction to the Financial Markets.

John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Input Selection.

Jimmy Shadbolt, John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Combining Models.

Neep Hazarika, John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Predicting Bonds Using the Linear Relevance Vector Machine.

Neep Hazarika, John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

Vector Machines.

Neep Hazarika, John G. Taylor

Proceedings of the Neural Networks and the Financial Markets, 2002

2001

Speaker identification for security systems using reinforcement-trained pRAM neural network architectures.

Trevor G. Clarkson, Chris Christodoulou, Yelin Guan, Denise Gorse, David A. Romano-Critchley, John G. Taylor

IEEE Trans. Syst. Man Cybern. Syst., 2001

Emotion recognition in human-computer interaction.

Roddy Cowie, Ellen Douglas-Cowie, Nicolas Tsapatsoulis, George N. Votsis, Stefanos D. Kollias, Winfried A. Fellenz, John G. Taylor

IEEE Signal Process. Mag., 2001

A dynamical model for the analysis and acceleration of learning in feedforward networks.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Neural Networks, 2001

Images of the Mind: Brain Images and Neural Networks.

John G. Taylor

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Neural Nets for Short Movements in Natural Language Processing.

Neill R. Taylor, John G. Taylor

Proceedings of the Artificial Neural Networks, 2001

2000

Hard-wired models of working memory and temporal sequence storage and generation.

Neill R. Taylor, John G. Taylor

Neural Networks, 2000

Decomposing memory: functional assignments and brain traffic in paired word associate learning.

John G. Taylor, Barry Horwitz, N. Jon Shah, Winfried A. Fellenz, Hans-W. Müller-Gärtner, Bernd J. Krause

Neural Networks, 2000

The global brain: imaging and modelling: Introduction: 2000 Special Issue.

John G. Taylor, Barry Horwitz, Karl J. Friston

Neural Networks, 2000

A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions.

Oury Monchi, John G. Taylor, Alain Dagher

Neural Networks, 2000

Imaging and neural modelling in episodic and working memory processes.

Bernd J. Krause, John G. Taylor, Daniela Schmidt, Hubertus Hautzel, Felix M. Mottaghy, Hans-W. Müller-Gärtner

Neural Networks, 2000

Neural modeling and functional brain imaging: an overview.

Barry Horwitz, Karl J. Friston, John G. Taylor

Neural Networks, 2000

Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory.

John G. Taylor, Neill R. Taylor

Biol. Cybern., 2000

Bringing AI and Soft Computing Together: A Neurobiological Perspective.

John G. Taylor

Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

The Frontal Lobes and Executive Function.

John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Constructing Symbols as Manipulable Structures by Recurrent Networks.

John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Is There More to TSSG than Associative Chaining (Chunking and All That)?

Neill R. Taylor, John G. Taylor

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Towards Understanding Images of the Mind.

John G. Taylor

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A General Framework for the Functions of the Brain.

John G. Taylor

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System.

Winfried A. Fellenz, John G. Taylor, Roddy Cowie, Ellen Douglas-Cowie, Frédéric Piat, Stefanos D. Kollias, Christos Orovas, Bruno Apolloni

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

The Hidden Layer Associative Memory Model of Hippocampus.

Winfried A. Fellenz, John G. Taylor

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Analysis of Fluctuation-Induced Firing in the Presence of Inhibition.

Chris Christodoulou, Trevor G. Clarkson, John G. Taylor, Guido Bugmann

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A General Framework for Symbol and Rule Extraction in Neural Networks.

Bruno Apolloni, Christos Orovas, John G. Taylor, Winfried A. Fellenz, Stan C. A. M. Gielen, Machiel Westerdijk

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Mathematical Analysis of Lead Field Expansions.

John G. Taylor, Andreas A. Ioannides, Hans-W. Müller-Gärtner

IEEE Trans. Medical Imaging, 1999

Towards the networks of the brain: from brain imaging to consciousness.

John G. Taylor

Neural Networks, 1999

Dynamics of multilayer networks in the vicinity of temporary minima.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Neural Networks, 1999

Frequency Change Detection in Human Auditory Cortex.

Patrick J. C. May, Hannu Tiitinen, Risto J. Ilmoniemi, Göte Nyman, John G. Taylor, Risto Näätänen

J. Comput. Neurosci., 1999

A Hard Wired Model of Coupled Frontal Working memories for various Tasks.

Oury Monchi, John G. Taylor

Inf. Sci., 1999

Neural 'bubble' dynamics in two dimensions: foundations.

John G. Taylor

Biol. Cybern., 1999

Learning to generate temporal sequences by models of frontal lobes.

Neill R. Taylor, John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks for consciousness: the central representation.

John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

A mathematical analysis of adaptive synapses.

John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

Enhancing the storage capacity of binary associative memories.

Winfried A. Fellenz, John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.

Dirk Husmeier, John G. Taylor

Neural Networks, 1998

Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse.

Daniel Gembris, John G. Taylor, Stefan Schor, Dieter Suter, Stefan Posse

Proceedings of the Bildverarbeitung für die Medizin: Algorithmen, 1998

Neural Networks and the Mind.

John G. Taylor

Proceedings of the Concepts for Neural Networks - A Survey, 1998

Neurobiological Modelling.

John G. Taylor

Proceedings of the Concepts for Neural Networks - A Survey, 1998

Neural Networks: An Overview.

John G. Taylor

Proceedings of the Concepts for Neural Networks - A Survey, 1998

Round Table Discussion.

L. J. Landau, John G. Taylor

Proceedings of the Concepts for Neural Networks - A Survey, 1998

1997

Non-Invasive Analysis of Awareness.

John G. Taylor, Hans-W. Müller-Gärtner

Neural Networks, 1997

Neural networks for consciousness.

John G. Taylor

Neural Networks, 1997

Predicting Conditional Probability Densities of Stationary Stochastic Time Series.

Dirk Husmeier, John G. Taylor

Neural Networks, 1997

The New ERA in Supervised Learning.

Denise Gorse, Adrian J. Shepherd, John G. Taylor

Neural Networks, 1997

pRAM layout optimisation.

Bruno Apolloni, Diego de Falco, John G. Taylor

Neural Networks, 1997

Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset.

Guido Bugmann, Chris Christodoulou, John G. Taylor

Neural Comput., 1997

A pulse-based reinforcement algorithm for learning continuous functions.

Denise Gorse, David A. Romano-Critchley, John G. Taylor

Neurocomputing, 1997

Stability analysis of pRAM reinforcement learning.

Paulo J. L. Adeodato, John G. Taylor

Proceedings of the 4th Brazilian Symposium on Neural Networks, 1997

Neural Networks and the Emergence of Consciousness.

John G. Taylor

Proceedings of the Connectionist Representations: 4th Neural Computation and Psychology Workshop, 1997

Models of Coupled Anterior Working Memories for Frontal Tasks.

Oury Monchi, John G. Taylor

Proceedings of the Connectionist Representations: 4th Neural Computation and Psychology Workshop, 1997

Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL Network.

Dirk Husmeier, John G. Taylor

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Modeling Conditional Probabilities with Committees of RVFL Networks.

Dirk Husmeier, John G. Taylor

Proceedings of the Artificial Neural Networks, 1997

1996

Using Features for the Storage of Patterns in a Fully Connected Net.

Stephen Coombes, John G. Taylor

Neural Networks, 1996

On the Circuit Complexity of Sigmoid Feedforward Neural Networks.

Valeriu Beiu, John G. Taylor

Neural Networks, 1996

A competition for consciousness?

John G. Taylor

Neurocomputing, 1996

Breakthrough to awareness: a preliminary neural network model of conscious and unconscious perception in word processing.

John G. Taylor

Biol. Cybern., 1996

Autoassociative Memory with high Storage Capacity.

Paulo J. L. Adeodato, John G. Taylor

Proceedings of the Artificial Neural Networks, 1996

1995

pRAM nets for detection of small targets in sequences of infra-red images.

Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor

Neural Networks, 1995

Response to letter by K. Gurney.

Trevor G. Clarkson, John G. Taylor, Denise Gorse

Neural Networks, 1995

On the Ordering Conditions for Self-Organizing Maps.

Marco Budinich, John G. Taylor

Neural Comput., 1995

A global competitive neural network.

John G. Taylor, F. N. Alavi

Biol. Cybern., 1995

Density Estimation as a Preprocessing Step for Constructive Algorithms.

J. C. Lemm, Valeriu Beiu, John G. Taylor

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Reorganisation of Somatosensory Cortex after Tactile Training.

Rasmus S. Petersen, John G. Taylor

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks.

Yelin Guan, Trevor G. Clarkson, John G. Taylor

Proceedings of the From Natural to Artificial Neural Computation, 1995

Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -.

Valeriu Beiu, John G. Taylor

Proceedings of the From Natural to Artificial Neural Computation, 1995

VLSI Optimal Neural Network Learning Algorithm.

Valeriu Beiu, John G. Taylor

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994

Goals, drives, and consciousness.

John G. Taylor

Neural Networks, 1994

Noisy reinforcement training for pRAM nets.

Yelin Guan, Trevor G. Clarkson, John G. Taylor, Denise Gorse

Neural Networks, 1994

Introduction: 1994 Special issue.

Stephen Grossberg, John G. Taylor

Neural Networks, 1994

Dynamics of compartmental model neurons.

Paul C. Bressloff, John G. Taylor

Neural Networks, 1994

1993

Generalization in probabilistic RAM nets.

Trevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse

IEEE Trans. Neural Networks, 1993

Learning higher order correlations.

John G. Taylor, Stephen Coombes

Neural Networks, 1993

The fifth anniversary of neural networks.

Stephen Grossberg, John G. Taylor

Neural Networks, 1993

The temporal Kohönen map.

Geoffrey J. Chappell, John G. Taylor

Neural Networks, 1993

Compartmental-model response function for dendritic trees.

Paul C. Bressloff, John G. Taylor

Biol. Cybern., 1993

The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs.

Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson, John G. Taylor

Proceedings of the New Trends in Neural Computation, 1993

Traking global minima using a range expansion algorithm.

Denise Gorse, Adrian J. Shepherd, John G. Taylor

Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

Promise of neural networks.

John G. Taylor

Perspectives in neural computing, Springer, ISBN: 978-3-540-19773-7, 1993

1992

Learning Probabilistic RAM Nets Using VLSI Structures.

Trevor G. Clarkson, Denise Gorse, John G. Taylor, C. K. Ng

IEEE Trans. Computers, 1992

Editorial.

Shun-ichi Amari, Stephen Grossberg, John G. Taylor

Neural Networks, 1992

1991

Storing temporal sequences.

Michael Reiss, John G. Taylor

Neural Networks, 1991

A continuous input RAM-based stochastic neural model.

Denise Gorse, John G. Taylor

Neural Networks, 1991

Discrete time leaky integrator network with synaptic noise.

Paul C. Bressloff, John G. Taylor

Neural Networks, 1991

Naturally intelligent systems: M Caudill and C Butler.

John G. Taylor

Knowl. Based Syst., 1991

Neural Network Capacity for Temporal Sequence Storage.

John G. Taylor

Int. J. Neural Syst., 1991

1990

A silicon model of vertebrate retinal processing.

John G. Taylor

Neural Networks, 1990