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Neill R. Taylor
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2000 – 2009
- 2009
- [j8]John G. Taylor, Matthew Hartley, Neill R. Taylor, Christo Panchev
, Stathis Kasderidis:
A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning. Image Vis. Comput. 27(11): 1641-1657 (2009) - 2007
- [j7]Neill R. Taylor, Christo Panchev
, Matthew Hartley, Stathis Kasderidis, John G. Taylor:
Occlusion, attention and object representations. Integr. Comput. Aided Eng. 14(4): 283-306 (2007) - [c9]Neill R. Taylor, John G. Taylor:
A Novel Novelty Detector. ICANN (2) 2007: 973-983 - 2006
- [j6]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) - [j5]Neill R. Taylor, Matthew Hartley
, John G. Taylor:
The micro-structure of attention. Neural Networks 19(9): 1347-1370 (2006) - [j4]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) - [c8]Neill R. Taylor, Christo Panchev
, Matthew Hartley, Stathis Kasderidis, John G. Taylor:
Occlusion, Attention and Object Representations. ICANN (1) 2006: 592-601 - 2005
- [j3]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) - [c7]Neill R. Taylor, Matthew Hartley, John G. Taylor:
Coding of Objects in Low-Level Visual Cortical Areas. ICANN (1) 2005: 57-63 - 2003
- [p1]Neill R. Taylor, John G. Taylor:
The Neural Networks for Language in the Brain: Creating LAD. Computational Models for Neuroscience 2003: 245-265 - 2001
- [c6]Neill R. Taylor, John G. Taylor:
Neural Nets for Short Movements in Natural Language Processing. ICANN 2001: 1205-1210 - 2000
- [j2]John G. Taylor, Neill R. Taylor:
Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory. Biol. Cybern. 82(5): 415-432 (2000) - [j1]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) - [c5]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 - [c4]John G. Taylor, Neill R. Taylor, Bruno Apolloni, Christos Orovas
:
Constructing Symbols as Manipulable Structures by Recurrent Networks. IJCNN (2) 2000: 99-104 - [c3]Neill R. Taylor, John G. Taylor:
Is There More to TSSG than Associative Chaining (Chunking and All That)? IJCNN (2) 2000: 217-224 - [c2]Neill R. Taylor:
Modelling Preferred Work Plans. Intelligent Systems and Soft Computing 2000: 343-357
1990 – 1999
- 1999
- [c1]Neill R. Taylor, John G. Taylor:
Learning to generate temporal sequences by models of frontal lobes. IJCNN 1999: 38-41 - 1998
- [b1]Neill Richard Taylor:
Neural models of temporal sequences. King's College London, UK, 1998
Coauthor Index
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