A silicon model of vertebrate retinal processing. - John G. Taylor (Neural Networks, 1990)

Neural Network Capacity for Temporal Sequence Storage. - John G. Taylor (Int. J. Neural Syst., 1991)

Naturally intelligent systems: M Caudill and C Butler. - John G. Taylor (Knowl. Based Syst., 1991)

Discrete time leaky integrator network with synaptic noise. - Paul C. Bressloff; John G. Taylor (Neural Networks, 1991)

A continuous input RAM-based stochastic neural model. - Denise Gorse; John G. Taylor (Neural Networks, 1991)

Storing temporal sequences. - Michael Reiss; John G. Taylor (Neural Networks, 1991)

Editorial. - Shun-ichi Amari; Stephen Grossberg; John G. Taylor (Neural Networks, 1992)

Learning Probabilistic RAM Nets Using VLSI Structures. - Trevor G. Clarkson; Denise Gorse; John G. Taylor; C. K. Ng (IEEE Trans. Computers, 1992)

Promise of neural networks. - John G. Taylor (Springer, 1993)

Traking global minima using a range expansion algorithm. - Denise Gorse; Adrian J. Shepherd; John G. Taylor (ESANN, 1993)

The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs. - Chris Christodoulou; Guido Bugmann; Trevor G. Clarkson; John G. Taylor (IWANN, 1993)

Compartmental-model response function for dendritic trees. - Paul C. Bressloff; John G. Taylor (Biol. Cybern., 1993)

The temporal Kohönen map. - Geoffrey J. Chappell; John G. Taylor (Neural Networks, 1993)

The fifth anniversary of neural networks. - Stephen Grossberg; John G. Taylor (Neural Networks, 1993)

Learning higher order correlations. - John G. Taylor; Stephen Coombes (Neural Networks, 1993)

Generalization in probabilistic RAM nets. - Trevor G. Clarkson; Yelin Guan; John G. Taylor; Denise Gorse (IEEE Trans. Neural Networks, 1993)

Dynamics of compartmental model neurons. - Paul C. Bressloff; John G. Taylor (Neural Networks, 1994)

Introduction: 1994 Special issue. - Stephen Grossberg; 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)

Goals, drives, and consciousness. - John G. Taylor (Neural Networks, 1994)

VLSI Optimal Neural Network Learning Algorithm. - Valeriu Beiu; John G. Taylor (ICANNGA, 1995)

Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -. - Valeriu Beiu; John G. Taylor (IWANN, 1995)

Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks. - Yelin Guan; Trevor G. Clarkson; John G. Taylor (IWANN, 1995)

Reorganisation of Somatosensory Cortex after Tactile Training. - Rasmus S. Petersen; John G. Taylor (NIPS, 1995)

Density Estimation as a Preprocessing Step for Constructive Algorithms. - J. C. Lemm; Valeriu Beiu; John G. Taylor (SNN Symposium on Neural Networks, 1995)

A global competitive neural network. - John G. Taylor; F. N. Alavi (Biol. Cybern., 1995)

On the Ordering Conditions for Self-Organizing Maps. - Marco Budinich; John G. Taylor (Neural Comput., 1995)

Response to letter by K. Gurney. - Trevor G. Clarkson; John G. Taylor; Denise Gorse (Neural Networks, 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)

Autoassociative Memory with high Storage Capacity. - Paulo J. L. Adeodato; John G. Taylor (ICANN, 1996)

Breakthrough to awareness: a preliminary neural network model of conscious and unconscious perception in word processing. - John G. Taylor (Biol. Cybern., 1996)

A competition for consciousness? - John G. Taylor (Neurocomputing, 1996)

On the Circuit Complexity of Sigmoid Feedforward Neural Networks. - Valeriu Beiu; John G. Taylor (Neural Networks, 1996)

Using Features for the Storage of Patterns in a Fully Connected Net. - Stephen Coombes; John G. Taylor (Neural Networks, 1996)

Modeling Conditional Probabilities with Committees of RVFL Networks. - Dirk Husmeier; John G. Taylor (ICANN, 1997)

Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL Network. - Dirk Husmeier; John G. Taylor (ICANNGA, 1997)

Models of Coupled Anterior Working Memories for Frontal Tasks. - Oury Monchi; John G. Taylor (NCPW, 1997)

Neural Networks and the Emergence of Consciousness. - John G. Taylor (NCPW, 1997)

Stability analysis of pRAM reinforcement learning. - Paulo J. L. Adeodato; John G. Taylor (SBRN, 1997)

A pulse-based reinforcement algorithm for learning continuous functions. - Denise Gorse; David A. Romano-Critchley; John G. Taylor (Neurocomputing, 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)

pRAM layout optimisation. - Bruno Apolloni; Diego de Falco; John G. Taylor (Neural Networks, 1997)

The New ERA in Supervised Learning. - Denise Gorse; Adrian J. Shepherd; John G. Taylor (Neural Networks, 1997)

Predicting Conditional Probability Densities of Stationary Stochastic Time Series. - Dirk Husmeier; John G. Taylor (Neural Networks, 1997)

Neural networks for consciousness. - John G. Taylor (Neural Networks, 1997)

Non-Invasive Analysis of Awareness. - John G. Taylor; Hans-W. Müller-Gärtner (Neural Networks, 1997)

Round Table Discussion. - L. J. Landau; John G. Taylor (Concepts for Neural Networks, 1998)

Neural Networks: An Overview. - John G. Taylor (Concepts for Neural Networks, 1998)

Neurobiological Modelling. - John G. Taylor (Concepts for Neural Networks, 1998)

Neural Networks and the Mind. - John G. Taylor (Concepts for Neural Networks, 1998)

Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse. - Daniel Gembris; John G. Taylor; Stefan Schor; Dieter Suter; Stefan Posse (Bildverarbeitung für die Medizin, 1998)

Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL. - Dirk Husmeier; John G. Taylor (Neural Networks, 1998)

Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. - Nikolaos Ampazis; Stavros J. Perantonis; John G. Taylor (IJCNN, 1999)

Enhancing the storage capacity of binary associative memories. - Winfried A. Fellenz; John G. Taylor (IJCNN, 1999)

A mathematical analysis of adaptive synapses. - John G. Taylor (IJCNN, 1999)

Neural networks for consciousness: the central representation. - John G. Taylor (IJCNN, 1999)

Learning to generate temporal sequences by models of frontal lobes. - Neill R. Taylor; John G. Taylor (IJCNN, 1999)

Neural 'bubble' dynamics in two dimensions: foundations. - John G. Taylor (Biol. Cybern., 1999)

A Hard Wired Model of Coupled Frontal Working memories for various Tasks. - Oury Monchi; John G. Taylor (Inf. Sci., 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)

Dynamics of multilayer networks in the vicinity of temporary minima. - Nikolaos Ampazis; Stavros J. Perantonis; John G. Taylor (Neural Networks, 1999)

Towards the networks of the brain: from brain imaging to consciousness. - John G. Taylor (Neural Networks, 1999)

Mathematical Analysis of Lead Field Expansions. - John G. Taylor; Andreas A. Ioannides; Hans-W. Müller-Gärtner (IEEE Trans. Medical Imaging, 1999)

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 (IJCNN (2), 2000)

Analysis of Fluctuation-Induced Firing in the Presence of Inhibition. - Chris Christodoulou; Trevor G. Clarkson; John G. Taylor; Guido Bugmann (IJCNN (3), 2000)

The Hidden Layer Associative Memory Model of Hippocampus. - Winfried A. Fellenz; John G. Taylor (IJCNN (2), 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 (IJCNN (2), 2000)

A General Framework for the Functions of the Brain. - John G. Taylor (IJCNN (1), 2000)

Towards Understanding Images of the Mind. - John G. Taylor (IJCNN (1), 2000)

Is There More to TSSG than Associative Chaining (Chunking and All That)? - Neill R. Taylor; John G. Taylor (IJCNN (2), 2000)

Constructing Symbols as Manipulable Structures by Recurrent Networks. - John G. Taylor; Neill R. Taylor; Bruno Apolloni; Christos Orovas (IJCNN (2), 2000)

The Frontal Lobes and Executive Function. - John G. Taylor; Neill R. Taylor; Raju S. Bapi; Guido Bugmann; Daniel S. Levine 001 (IJCNN (1), 2000)

Bringing AI and Soft Computing Together: A Neurobiological Perspective. - John G. Taylor (Intelligent Systems and Soft Computing, 2000)

Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. - John G. Taylor; Neill R. Taylor (Biol. Cybern., 2000)

Neural modeling and functional brain imaging: an overview. - Barry Horwitz; Karl J. Friston; John G. Taylor (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)

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)

The global brain: imaging and modelling: Introduction: 2000 Special Issue. - John G. Taylor; Barry Horwitz; Karl J. Friston (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)

Hard-wired models of working memory and temporal sequence storage and generation. - Neill R. Taylor; John G. Taylor (Neural Networks, 2000)

Neural Nets for Short Movements in Natural Language Processing. - Neill R. Taylor; John G. Taylor (ICANN, 2001)

Images of the Mind: Brain Images and Neural Networks. - John G. Taylor (Emergent Neural Computational Architectures Based on Neuroscience, 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)

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)

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)

Vector Machines. - Neep Hazarika; John G. Taylor (Neural Networks and the Financial Markets, 2002)

Predicting Bonds Using the Linear Relevance Vector Machine. - Neep Hazarika; John G. Taylor (Neural Networks and the Financial Markets, 2002)

Combining Models. - Neep Hazarika; John G. Taylor (Neural Networks and the Financial Markets, 2002)

Input Selection. - Jimmy Shadbolt; John G. Taylor (Neural Networks and the Financial Markets, 2002)

Introduction to the Financial Markets. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

Univariate and Multivariate Time Series Predictions. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

General Form of Models of Financial Markets. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

Neural Networks. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

Multi-Agent Modelling. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

Financial Prediction Modelling: Summary and Future Avenues. - John G. Taylor (Neural Networks and the Financial Markets, 2002)

Establishing retinotopy by lateral-inhibition type homogeneous neural fields. - Winfried A. Fellenz; John G. Taylor (Neurocomputing, 2002)

Editorial for 2002: A Time of Exuberant Development. - Stephen Grossberg; Mitsuo Kawato; John G. Taylor (Neural Networks, 2002)

A control model of the movement of attention. - John G. Taylor; M. Rogers (Neural Networks, 2002)

Towards Global Principles of Brain Processing. - John G. Taylor (Computational Models for Neuroscience, 2003)

The Neural Networks for Language in the Brain: Creating LAD. - Neill R. Taylor; John G. Taylor (Computational Models for Neuroscience, 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 (ICANN, 2003)

Drawing Attention to the Dangerous. - Stathis Kasderidis; John G. Taylor; Nicolas Tsapatsoulis; Dario Malchiodi (ICANN, 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 (ICANN, 2003)

Testing models of attention with MEG. - Andreas A. Ioannides; John G. Taylor (IJCNN, 2003)

The CODAM model of attention and consciousness. - John G. Taylor (IJCNN, 2003)

Simulations of attention control models in sensory and motor paradigms. - John G. Taylor; Nickolaos F. Fragopanagos (IJCNN, 2003)

Attention-Based Robot Control. - Stathis Kasderidis; John G. Taylor (KES, 2003)

The CODAM Model and Deficits of Consciousness I: CODAM. - John G. Taylor (KES, 2003)

CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction. - John G. Taylor (KES, 2003)

ANNA: An Artificial Neural Network for Attention to Emotional Recognition. - John G. Taylor; Nickolaos F. Fragopanagos (KES, 2003)

The hidden-layer model of hippocampus. - Winfried A. Fellenz; John G. Taylor (Neurocomputing, 2003)

Celebrating the Year with a Special Issue for IJCNN'03. - Stephen Grossberg; Mitsuo Kawato; John G. Taylor (Neural Networks, 2003)

Knowing what and where: a computational model for visual attention. - Kaustubh Chokshi; Christo Panchev; Stefan Wermter; John G. Taylor (IJCNN, 2004)

The effect of emotional bias in attentional processes. - Nickolaos F. Fragopanagos; John G. Taylor (IJCNN, 2004)

Deep sleep: understanding the process of hippocampal playback and plasticity. - Matthew Hartley; Neill R. Taylor; John G. Taylor (IJCNN, 2004)

Attention-based learning. - Stathis Kasderidis; John G. Taylor (IJCNN, 2004)

CHIMERA: creating a new generation chip by brain guidance. - John G. Taylor (IJCNN, 2004)

Modelling human attention and emotions. - John G. Taylor; Nickolaos F. Fragopanagos (IJCNN, 2004)

A review of brain-based neuro-cognitive models. - John G. Taylor (Cogn. Process., 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)

Attentional Agents and robot control. - Stathis Kasderidis; John G. Taylor (Int. J. Knowl. Based Intell. Eng. Syst., 2004)

Another exciting year for the INNS/ENNS/JNNS journal! - Stephen Grossberg; Mitsuo Kawato; John G. Taylor (Neural Networks, 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)

Combining Attention and Value Maps. - Stathis Kasderidis; John G. Taylor (ICANN (1), 2005)

A Review of Cognitive Processing in the Brain. - John G. Taylor (ICANN (1), 2005)

Coding of Objects in Low-Level Visual Cortical Areas. - Neill R. Taylor; Matthew Hartley; John G. Taylor (ICANN (1), 2005)

An intelligent system for facial emotion recognition. - Roddy Cowie; Ellen Douglas-Cowie; John G. Taylor; Spiros Ioannou; Manolis Wallace; Stefanos D. Kollias (ICME, 2005)

Knowing your place: subfield specific involvement in hippocampal spatial processing. - Matthew Hartley; Neill R. Taylor; John G. Taylor (IJCNN, 2005)

Neural networks of the brain: their analysis and relation to brain images. - John G. Taylor (IJCNN, 2005)

Attention as sigma-pi controlled ACh-based feedback. - John G. Taylor; Matthew Hartley; Neill R. Taylor (IJCNN, 2005)

Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004). - John G. Taylor (Artif. Intell., 2005)

Emotion recognition in human-computer interaction. - Nickolaos F. Fragopanagos; John G. Taylor (Neural Networks, 2005)

A year of exciting Special Issues! - Stephen Grossberg; Mitsuo Kawato; John G. Taylor (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)

The interaction of attention and emotion. - John G. Taylor; Nickolaos F. Fragopanagos (Neural Networks, 2005)

Emotion and brain: Understanding emotions and modelling their recognition. - John G. Taylor; Klaus R. Scherer; Roddy Cowie (Neural Networks, 2005)

Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future. - John G. Taylor (ICANN (1), 2006)

Towards a Control Theory of Attention. - John G. Taylor (ICANN (2), 2006)

Modelling Working Memory Through Attentional Mechanisms. - John G. Taylor; Nickolaos F. Fragopanagos; Nienke J. H. Korsten (ICANN (1), 2006)

A Basis for Cognitive Machines. - John G. Taylor; Stathis Kasderidis; Panos E. Trahanias; Matthew Hartley (ICANN (1), 2006)

A neural model of the enhancement of perception caused by emotional cues. - Nickolaos F. Fragopanagos; Nienke J. H. Korsten; John G. Taylor (IJCNN, 2006)

Attention as the control system of the brain. - John G. Taylor (Int. J. Gen. Syst., 2006)

Modelling the interaction of attention and emotion. - Nickolaos F. Fragopanagos; John G. Taylor (Neurocomputing, 2006)

Understanding spike-time-dependent plasticity: A biologically motivated computational model. - Matthew Hartley; Neill R. Taylor; John G. Taylor (Neurocomputing, 2006)

Attention as a controller. - Nienke J. H. Korsten; Nickolaos F. Fragopanagos; Matthew Hartley; Neill R. Taylor; John G. Taylor (Neural Networks, 2006)

The micro-structure of attention. - Neill R. Taylor; Matthew Hartley; John G. Taylor (Neural Networks, 2006)

Introduction to the special issue on 'Brain & Attention'. - John G. Taylor; Anna Christina Nobre; Kimron L. Shapiro (Neural Networks, 2006)

An Attention-Based Architecture for Context Switch Detection. - Nicolas Tsapatsoulis; Stathis Kasderidis; John G. Taylor (The Disappearing Computer, 2007)

A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements. - Matthew Hartley; John G. Taylor (ICANN (2), 2007)

Neural Substructures for Appraisal in Emotion: Self-esteem and Depression. - Nienke J. H. Korsten; Nickolaos F. Fragopanagos; John G. Taylor (ICANN (2), 2007)

Modelling the N2pc and Its Interaction with Value. - John G. Taylor; Nickolaos F. Fragopanagos (ICANN (2), 2007)

A Novel Novelty Detector. - Neill R. Taylor; John G. Taylor (ICANN (2), 2007)

The Role of Attention in Creating a Cognitive System. - John G. Taylor (WAPCV, 2007)

Through Reasoning to Cognitive Machines. - John G. Taylor; Matthew Hartley (IEEE Comput. Intell. Mag., 2007)

Occlusion, attention and object representations. - Neill R. Taylor; Christo Panchev; Matthew Hartley; Stathis Kasderidis; John G. Taylor (Integr. Comput. Aided Eng., 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)

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)

Editorial for 2007: Another year of exciting special issues! - Stephen Grossberg; Mitsuo Kawato; John G. Taylor (Neural Networks, 2007)

CODAM: A neural network model of consciousness. - John G. Taylor (Neural Networks, 2007)

Commentary on the 'small network' argument. - John G. Taylor (Neural Networks, 2007)

Resolving some confusions over attention and consciousness. - John G. Taylor; Nickolaos F. Fragopanagos (Neural Networks, 2007)

Introduction to the special issue on 'Brain and Consciousness'. - John G. Taylor; Walter J. Freeman; Axel Cleeremans (Neural Networks, 2007)

CODAM model: Through attention to consciousness. - John G. Taylor (Scholarpedia, 2007)

The Human Brain as a Hierarchical Intelligent Control System. - John G. Taylor (Challenges for Computational Intelligence, 2007)

Observational Versus Trial and Error Effects in a Model of an Infant Learning Paradigm. - Matthew Hartley; Jacqueline Fagard; Rana Esseily; John G. Taylor (ICANN (2), 2008)

Towards a Neural Model of Mental Simulation. - Matthew Hartley; John G. Taylor (ICANN (2), 2008)

Exploring cognitive machines - Neural models of reasoning, illustrated through the two-sticks paradigm. - John G. Taylor; Matthew Hartley (Neurocomputing, 2008)

Neural Networks goes electronic at twenty! - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2008)

Mental Simulation, Attention and Creativity. - Matthew Hartley; John G. Taylor (ICANN (2), 2009)

Can consciousness ever be modelled? - John G. Taylor (IJCNN, 2009)

Neural architectures for thinking, reasoning and being conscious. - John G. Taylor; Matthew Hartley (IJCNN, 2009)

Cognitive Computation. - John G. Taylor (Cogn. Comput., 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)

Microcircuits - Their structure, dynamics and role for brain function. - Vassilis Cutsuridis; Thomas Wennekers; Bruce P. Graham; Imre Vida; John G. Taylor (Neural Networks, 2009)

New action editors join the journal! Five exciting special issues in the works! - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2009)

Multimodal communication in animals, humans and robots: An introduction to perspectives in brain-inspired informatics. - Stefan Wermter; M. Page; Michael Knowles; Vittorio Gallese; Friedemann Pulvermüller; John G. Taylor (Neural Networks, 2009)

The creativity effect: Consciousness versus attention. - John G. Taylor (IJCNN, 2010)

A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system. - John G. Taylor (IJCNN, 2010)

On artificial brains. - John G. Taylor (Neurocomputing, 2010)

Editorial for 2010. - Kenji Doya; Stephen Grossberg; John G. Taylor (Neural Networks, 2010)

Deciding in uncertainy: The creativity effects. - John G. Taylor (CCMB, 2011)

Consciousness Versus Attention. - John G. Taylor (Cogn. Comput., 2011)

Saliency, Attention, Active Visual Search, and Picture Scanning. - John G. Taylor; Vassilis Cutsuridis (Cogn. Comput., 2011)

Editorial Notes. - John G. Taylor; Vassilis Cutsuridis (Cogn. Comput., 2011)

An excellent year and a transition. - Kenji Doya; Stephen Grossberg; John G. Taylor; DeLiang Wang (Neural Networks, 2011)

Expedited review process. - Kenji Doya; John G. Taylor; DeLiang Wang (Neural Networks, 2012)

Learning by Gossip: A Principled Information Exchange Model in Social Networks. - Bruno Apolloni; Dario Malchiodi; John G. Taylor (Cogn. Comput., 2013)

Activity Propagation in a Network of Coincidence-Detecting Neurons. - Guido Bugmann; John G. Taylor (Cogn. Comput., 2013)

A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents. - Vassilis Cutsuridis; John G. Taylor (Cogn. Comput., 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)