| 2009 |
|---|
| 109 | EE | Kenji Doya,
Stephen Grossberg,
John G. Taylor:
New action editors join the journal! Five exciting special issues in the works!
Neural Networks 22(1): 1 (2009) |
| 2008 |
|---|
| 108 | EE | Kenji Doya,
Stephen Grossberg,
John G. Taylor:
Neural Networks goes electronic at twenty!
Neural Networks 21(1): 1-2 (2008) |
| 2007 |
|---|
| 107 | EE | 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 |
| 106 | EE | John G. Taylor,
Nickolaos F. Fragopanagos:
Modelling the N2pc and Its Interaction with Value.
ICANN (2) 2007: 879-888 |
| 105 | EE | 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 |
| 104 | EE | Neill R. Taylor,
John G. Taylor:
A Novel Novelty Detector.
ICANN (2) 2007: 973-983 |
| 103 | EE | Nicolas Tsapatsoulis,
Stathis Kasderidis,
John G. Taylor:
An Attention-Based Architecture for Context Switch Detection.
The Disappearing Computer 2007: 205-229 |
| 102 | EE | John G. Taylor:
The Role of Attention in Creating a Cognitive System.
WAPCV 2007: 21-41 |
| 101 | EE | Stephen Grossberg,
Mitsuo Kawato,
John G. Taylor:
Editorial for 2007: Another year of exciting special issues!
Neural Networks 20(1): 10-11 (2007) |
| 100 | EE | John G. Taylor:
Commentary on the 'small network' argument.
Neural Networks 20(9): 1059-1060 (2007) |
| 99 | EE | John G. Taylor,
Walter J. Freeman,
Alex Cleeremans:
Introduction to the special issue on 'Brain and Consciousness'.
Neural Networks 20(9): 929-931 (2007) |
| 98 | EE | John G. Taylor:
CODAM: A neural network model of consciousness.
Neural Networks 20(9): 983-992 (2007) |
| 97 | EE | John G. Taylor,
Nickolaos F. Fragopanagos:
Resolving some confusions over attention and consciousness.
Neural Networks 20(9): 993-1003 (2007) |
| 96 | EE | John G. Taylor:
CODAM model.
Scholarpedia 2(11): 1598 (2007) |
| 2006 |
|---|
| 95 | EE | John G. Taylor:
Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future.
ICANN (1) 2006: 535-542 |
| 94 | EE | John G. Taylor,
Nickolaos F. Fragopanagos,
Nienke J. H. Korsten:
Modelling Working Memory Through Attentional Mechanisms.
ICANN (1) 2006: 553-562 |
| 93 | EE | John G. Taylor,
Stathis Kasderidis,
Panos E. Trahanias,
Matthew Hartley:
A Basis for Cognitive Machines.
ICANN (1) 2006: 573-582 |
| 92 | EE | Neill R. Taylor,
Christo Panchev,
Matthew Hartley,
Stathis Kasderidis,
John G. Taylor:
Occlusion, Attention and Object Representations.
ICANN (1) 2006: 592-601 |
| 91 | EE | John G. Taylor:
Towards a Control Theory of Attention.
ICANN (2) 2006: 461-470 |
| 90 | EE | 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 |
| 89 | EE | Neill R. Taylor,
Matthew Hartley,
John G. Taylor:
The micro-structure of attention.
Neural Networks 19(9): 1347-1370 (2006) |
| 88 | EE | Nienke J. H. Korsten,
Nickolaos F. Fragopanagos,
Matthew Hartley,
Neill R. Taylor,
John G. Taylor:
Attention as a controller.
Neural Networks 19(9): 1408-1421 (2006) |
| 87 | EE | Nickolaos F. Fragopanagos,
John G. Taylor:
Modelling the interaction of attention and emotion.
Neurocomputing 69(16-18): 1977-1983 (2006) |
| 86 | EE | Matthew Hartley,
Neill R. Taylor,
John G. Taylor:
Understanding spike-time-dependent plasticity: A biologically motivated computational model.
Neurocomputing 69(16-18): 2005-2016 (2006) |
| 2005 |
|---|
| 85 | EE | Neill R. Taylor,
Matthew Hartley,
John G. Taylor:
Coding of Objects in Low-Level Visual Cortical Areas.
ICANN (1) 2005: 57-63 |
| 84 | EE | Stathis Kasderidis,
John G. Taylor:
Combining Attention and Value Maps.
ICANN (1) 2005: 79-84 |
| 83 | EE | John G. Taylor:
A Review of Cognitive Processing in the Brain.
ICANN (1) 2005: 97-102 |
| 82 | EE | Roddy Cowie,
Ellen Douglas-Cowie,
John G. Taylor,
Spiros Ioannou,
Manolis Wallace,
Stefanos D. Kollias:
An intelligent system for facial emotion recognition.
ICME 2005: 904-907 |
| 81 | EE | John G. Taylor:
Jeff Hawkins and Sandra Blakeslee, On Intelligence, Times Books (2004).
Artif. Intell. 169(2): 192-195 (2005) |
| 80 | EE | Stephen Grossberg,
Mitsuo Kawato,
John G. Taylor:
A year of exciting Special Issues!
Neural Networks 18(1): 13- (2005) |
| 79 | EE | John G. Taylor,
Klaus R. Scherer,
Roddy Cowie:
Emotion and brain: Understanding emotions and modelling their recognition.
Neural Networks 18(4): 313-316 (2005) |
| 78 | EE | John G. Taylor,
Nickolaos F. Fragopanagos:
The interaction of attention and emotion.
Neural Networks 18(4): 353-369 (2005) |
| 77 | EE | Nickolaos F. Fragopanagos,
John G. Taylor:
Emotion recognition in human-computer interaction.
Neural Networks 18(4): 389-405 (2005) |
| 76 | EE | Matthew Hartley,
Neill R. Taylor,
John G. Taylor:
Subfield variations in hippocampal processing--components of a spatial navigation system.
Neural Networks 18(5-6): 611-619 (2005) |
| 2004 |
|---|
| 75 | EE | Artur S. d'Avila Garcez,
Dov M. Gabbay,
Steffen Hölldobler,
John G. Taylor:
Journal of Applied Logic Special Volume on Neural-Symbolic Systems.
J. Applied Logic 2(3): 241-243 (2004) |
| 74 | EE | Stathis Kasderidis,
John G. Taylor:
Attentional Agents and robot control.
KES Journal 8(2): 69-89 (2004) |
| 73 | EE | Stephen Grossberg,
Mitsuo Kawato,
John G. Taylor:
Another exciting year for the INNS/ENNS/JNNS journal!
Neural Networks 17(1): 1 (2004) |
| 2003 |
|---|
| 72 | EE | Stavroula-Evita Fotinea,
Stelios Bakamidis,
Theologos Athanaselis,
Ioannis Dologlou,
George Carayannis,
Roddy Cowie,
Ellen Douglas-Cowie,
Nickolaos F. Fragopanagos,
John G. Taylor:
Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis.
ICANN 2003: 1125-1132 |
| 71 | EE | John G. Taylor,
Nickolaos F. Fragopanagos,
Roddy Cowie,
Ellen Douglas-Cowie,
Stavroula-Evita Fotinea,
Stefanos D. Kollias:
An Emotional Recognition Architecture Based on Human Brain Structure.
ICANN 2003: 1133-1142 |
| 70 | EE | Stathis Kasderidis,
John G. Taylor,
Nicolas Tsapatsoulis,
Dario Malchiodi:
Drawing Attention to the Dangerous.
ICANN 2003: 909-916 |
| 69 | EE | John G. Taylor:
The CODAM Model and Deficits of Consciousness I: CODAM.
KES 2003: 1130-1139 |
| 68 | EE | John G. Taylor:
CODAM and Deficits of Consciousness II: Schizophrenia and Neglect/Extinction.
KES 2003: 1140-1148 |
| 67 | EE | John G. Taylor,
Nickolaos F. Fragopanagos:
ANNA: An Artificial Neural Network for Attention to Emotional Recognition.
KES 2003: 607-614 |
| 66 | EE | Stathis Kasderidis,
John G. Taylor:
Attention-Based Robot Control.
KES 2003: 615-621 |
| 65 | EE | Stephen Grossberg,
Mitsuo Kawato,
John G. Taylor:
Celebrating the Year with a Special Issue for IJCNN'03.
Neural Networks 16(1): 1 (2003) |
| 64 | EE | Winfried A. Fellenz,
John G. Taylor:
The hidden-layer model of hippocampus.
Neurocomputing 50: 31-50 (2003) |
| 2002 |
|---|
| 63 | EE | Stephen Grossberg,
Mitsuo Kawato,
John G. Taylor:
Editorial for 2002: A Time of Exuberant Development.
Neural Networks 15(1): 1- (2002) |
| 62 | EE | John G. Taylor,
M. Rogers:
A control model of the movement of attention.
Neural Networks 15(3): 309-326 (2002) |
| 61 | EE | Winfried A. Fellenz,
John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields.
Neurocomputing 48(1-4): 313-322 (2002) |
| 2001 |
|---|
| 60 | EE | John G. Taylor:
Images of the Mind: Brain Images and Neural Networks.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 20-38 |
| 59 | EE | Neill R. Taylor,
John G. Taylor:
Neural Nets for Short Movements in Natural Language Processing.
ICANN 2001: 1205-1210 |
| 58 | EE | Nikolaos Ampazis,
Stavros J. Perantonis,
John G. Taylor:
A dynamical model for the analysis and acceleration of learning in feedforward networks.
Neural Networks 14(8): 1075-1088 (2001) |
| 2000 |
|---|
| 57 | EE | Winfried A. Fellenz,
John G. Taylor:
Establishing retinotopy by lateral-inhibition type homogeneous neural fields.
ESANN 2000: 431-436 |
| 56 | EE | John G. Taylor:
Towards Understanding Images of the Mind.
IJCNN (1) 2000: 177-184 |
| 55 | EE | John G. Taylor:
A General Framework for the Functions of the Brain.
IJCNN (1) 2000: 35-40 |
| 54 | EE | John G. Taylor,
Neill R. Taylor,
Raju S. Bapi,
Guido Bugmann,
Daniel S. Levine:
The Frontal Lobes and Executive Function.
IJCNN (1) 2000: 41-46 |
| 53 | EE | Winfried A. Fellenz,
John G. Taylor:
The Hidden Layer Associative Memory Model of Hippocampus.
IJCNN (2) 2000: 205-210 |
| 52 | EE | Neill R. Taylor,
John G. Taylor:
Is There More to TSSG than Associative Chaining (Chunking and All That)?
IJCNN (2) 2000: 217-224 |
| 51 | EE | Bruno Apolloni,
Christos Orovas,
John G. Taylor,
Winfried A. Fellenz,
Stan C. A. M. Gielen,
Machiel Westerdijk:
A General Framework for Symbol and Rule Extraction in Neural Networks.
IJCNN (2) 2000: 87-92 |
| 50 | EE | Winfried A. Fellenz,
John G. Taylor,
Roddy Cowie,
Ellen Douglas-Cowie,
Frédéric Piat,
Stefanos D. Kollias,
Christos Orovas,
Bruno Apolloni:
On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System.
IJCNN (2) 2000: 93-98 |
| 49 | EE | John G. Taylor,
Neill R. Taylor,
Bruno Apolloni,
Christos Orovas:
Constructing Symbols as Manipulable Structures by Recurrent Networks.
IJCNN (2) 2000: 99-104 |
| 48 | EE | Chris Christodoulou,
Trevor G. Clarkson,
John G. Taylor,
Guido Bugmann:
Analysis of Fluctuation-Induced Firing in the Presence of Inhibition.
IJCNN (3) 2000: 115-120 |
| 47 | | John G. Taylor:
Bringing AI and Soft Computing Together: A Neurobiological Perspective.
Intelligent Systems and Soft Computing 2000: 41-71 |
| 46 | EE | Neill R. Taylor,
John G. Taylor:
Hard-wired models of working memory and temporal sequence storage and generation.
Neural Networks 13(2): 201-224 (2000) |
| 45 | EE | John G. Taylor,
Barry Horwitz,
Karl J. Friston:
The global brain: imaging and modelling: Introduction: 2000 Special Issue.
Neural Networks 13(8-9): 827- (2000) |
| 44 | EE | Barry Horwitz,
Karl J. Friston,
John G. Taylor:
Neural modeling and functional brain imaging: an overview.
Neural Networks 13(8-9): 829-846 (2000) |
| 43 | EE | Bernd J. Krause,
John G. Taylor,
Daniela Schmidt,
Hubertus Hautzel,
Felix M. Mottaghy,
Hans-W. Müller-Gärtner:
Imaging and neural modelling in episodic and working memory processes.
Neural Networks 13(8-9): 847-859 (2000) |
| 42 | EE | John G. Taylor,
Barry Horwitz,
N. J. Shah,
Winfried A. Fellenz,
Hans-W. Müller-Gärtner,
Bernd J. Krause:
Decomposing memory: functional assignments and brain traffic in paired word associate learning.
Neural Networks 13(8-9): 923-940 (2000) |
| 41 | EE | Oury Monchi,
John G. Taylor,
Alain Dagher:
A neural model of working memory processes in normal subjects, Parkinson's disease and schizophrenia for fMRI design and predictions.
Neural Networks 13(8-9): 953-973 (2000) |
| 1999 |
|---|
| 40 | | John G. Taylor,
Andreas A. Ioannides,
Hans-W. Müller-Gärtner:
Mathematical Analysis of Lead Field Expansions.
IEEE Trans. Med. Imaging 18(2): 151-163 (1999) |
| 39 | | Oury Monchi,
John G. Taylor:
A Hard Wired Model of Coupled Frontal Working memories for various Tasks.
Inf. Sci. 113(3-4): 221-243 (1999) |
| 38 | | Patrick May,
Hannu Tiitinen,
Risto J. Ilmoniemi,
Göte Nyman,
John G. Taylor,
Risto Näätänen:
Frequency Change Detection in Human Auditory Cortex.
Journal of Computational Neuroscience 6(2): 99-120 (1999) |
| 37 | EE | Nikolaos Ampazis,
Stavros J. Perantonis,
John G. Taylor:
Dynamics of multilayer networks in the vicinity of temporary minima.
Neural Networks 12(1): 43-58 (1999) |
| 36 | EE | John G. Taylor:
Towards the networks of the brain: from brain imaging to consciousness.
Neural Networks 12(7-8): 943-959 (1999) |
| 1998 |
|---|
| 35 | EE | Daniel Gembris,
John G. Taylor,
Stefan Schor,
Dieter Suter,
Stefan Posse:
Funktionale Kernspintomographie: Sliding-Window Echtzeit Korrelationsanalyse.
Bildverarbeitung für die Medizin 1998 |
| 34 | EE | Dirk Husmeier,
John G. Taylor:
Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.
Neural Networks 11(1): 89-116 (1998) |
| 1997 |
|---|
| 33 | | Dirk Husmeier,
John G. Taylor:
Modeling Conditional Probabilities with Committees of RVFL Networks.
ICANN 1997: 1053-1058 |
| 32 | EE | Paulo J. L. Adeodato,
John G. Taylor:
Stability analysis of pRAM reinforcement learning.
SBRN 1997: 41-50 |
| 31 | EE | Guido Bugmann,
Chris Christodoulou,
John G. Taylor:
Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset.
Neural Computation 9(5): 985-1000 (1997) |
| 30 | EE | Denise Gorse,
Adrian J. Sheperd,
John G. Taylor:
The New ERA in Supervised Learning.
Neural Networks 10(2): 343-352 (1997) |
| 29 | EE | Dirk Husmeier,
John G. Taylor:
Predicting Conditional Probability Densities of Stationary Stochastic Time Series.
Neural Networks 10(3): 479-497 (1997) |
| 28 | EE | John G. Taylor,
Hans-W. Müller-Gärtner:
Non-Invasive Analysis of Awareness.
Neural Networks 10(7): 1185-1194 (1997) |
| 27 | EE | John G. Taylor:
Neural networks for consciousness.
Neural Networks 10(7): 1207-1225 (1997) |
| 26 | EE | Bruno Apolloni,
Diego de Falco,
John G. Taylor:
pRAM layout optimisation.
Neural Networks 10(9): 1709-1716 (1997) |
| 25 | EE | Denise Gorse,
David A. Romano-Critchley,
John G. Taylor:
A pulse-based reinforcement algorithm for learning continuous functions.
Neurocomputing 14(4): 319-344 (1997) |
| 1996 |
|---|
| 24 | | Paulo J. L. Adeodato,
John G. Taylor:
Autoassociative Memory with high Storage Capacity.
ICANN 1996: 29-34 |
| 23 | EE | Stephen Coombes,
John G. Taylor:
Using Features for the Storage of Patterns in a Fully Connected Net.
Neural Networks 9(5): 837-844 (1996) |
| 22 | EE | Valeriu Beiu,
John G. Taylor:
On the Circuit Complexity of Sigmoid Feedforward Neural Networks.
Neural Networks 9(7): 1155-1171 (1996) |
| 21 | EE | John G. Taylor:
A competition for consciousness?
Neurocomputing 11(2-4): 271-296 (1996) |
| 1995 |
|---|
| 20 | | Y. Guan,
Trevor G. Clarkson,
John G. Taylor:
Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks.
IWANN 1995: 441-447 |
| 19 | | Valeriu Beiu,
John G. Taylor:
Optimal Mapping of Neural Networks onto FPGA's - A New Constructive Algorithm -.
IWANN 1995: 822-829 |
| 18 | EE | Rasmus S. Petersen,
John G. Taylor:
Reorganisation of Somatosensory Cortex after Tactile Training.
NIPS 1995: 82-88 |
| 17 | EE | Trevor G. Clarkson,
John G. Taylor,
Denise Gorse:
Response to letter by K. Gurney.
Neural Networks 8(3): 491- (1995) |
| 16 | EE | Sivasubramaniam Ramanan,
Rasmus S. Petersen,
Trevor G. Clarkson,
John G. Taylor:
pRAM nets for detection of small targets in sequences of infra-red images.
Neural Networks 8(7-8): 1227-1237 (1995) |
| 1994 |
|---|
| 15 | EE | Y. Guan,
Trevor G. Clarkson,
John G. Taylor,
Denise Gorse:
Noisy reinforcement training for pRAM nets.
Neural Networks 7(3): 523-528 (1994) |
| 14 | EE | Paul C. Bressloff,
John G. Taylor:
Dynamics of compartmental model neurons.
Neural Networks 7(6-7): 1153-1165 (1994) |
| 13 | EE | John G. Taylor:
Goals, drives, and consciousness.
Neural Networks 7(6-7): 1181-1190 (1994) |
| 12 | EE | Stephen Grossberg,
John G. Taylor:
Introduction: 1994 Special issue.
Neural Networks 7(6-7): 863- (1994) |
| 1993 |
|---|
| 11 | | Chris Christodoulou,
Guido Bugmann,
Trevor G. Clarkson,
John G. Taylor:
The Temporal Noisy-Leaky Integrator Neuron with Additional Inhibitory Inputs.
IWANN 1993: 465-470 |
| 10 | EE | Stephen Grossberg,
John G. Taylor:
The fifth anniversary of neural networks.
Neural Networks 6(1): 1 (1993) |
| 9 | EE | John G. Taylor,
Stephen Coombes:
Learning higher order correlations.
Neural Networks 6(3): 423-427 (1993) |
| 8 | EE | Geoffrey J. Chappell,
John G. Taylor:
The temporal Kohönen map.
Neural Networks 6(3): 441-445 (1993) |
| 1992 |
|---|
| 7 | | Trevor G. Clarkson,
Denise Gorse,
John G. Taylor,
C. K. Ng:
Learning Probabilistic RAM Nets Using VLSI Structures.
IEEE Trans. Computers 41(12): 1552-1561 (1992) |
| 6 | EE | Shun-ichi Amari,
Stephen Grossberg,
John G. Taylor:
Editorial.
Neural Networks 5(1): 1- (1992) |
| 1991 |
|---|
| 5 | EE | John G. Taylor:
Neural Network Capacity for Temporal Sequence Storage.
Int. J. Neural Syst. 2(1-2): 47-54 (1991) |
| 4 | EE | Denise Gorse,
John G. Taylor:
A continuous input RAM-based stochastic neural model.
Neural Networks 4(5): 657-665 (1991) |
| 3 | EE | Michael Reiss,
John G. Taylor:
Storing temporal sequences.
Neural Networks 4(6): 773-787 (1991) |
| 2 | EE | Paul C. Bressloff,
John G. Taylor:
Discrete time leaky integrator network with synaptic noise.
Neural Networks 4(6): 789-801 (1991) |
| 1990 |
|---|
| 1 | EE | John G. Taylor:
A silicon model of vertebrate retinal processing.
Neural Networks 3(2): 171-178 (1990) |
