David J. Willshaw

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18EEAndrea Greve, David C. Sterratt, David I. Donaldson, David J. Willshaw, Mark C. W. van Rossum: Optimal learning rules for familiarity detection. Biological Cybernetics 100(1): 11-19 (2009)
17EESimeon A. Bamford, Alan F. Murray, David J. Willshaw: Synaptic Rewiring for Topographic Map Formation. ICANN (2) 2008: 218-227
16EESimeon A. Bamford, Alan F. Murray, David J. Willshaw: Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver. IJCNN 2008: 1464-1471
15EEDavid C. Sterratt, David J. Willshaw: Inhomogeneities in Heteroassociative Memories with Linear Learning Rules. Neural Computation 20(2): 311-344 (2008)
14EEVolker Steuber, David J. Willshaw: A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell. Journal of Computational Neuroscience 17(2): 149-164 (2004)
13EEKit Longden, David J. Willshaw: An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus. Neurocomputing 44-46: 527-531 (2002)
12 Stefan Wermter, Jim Austin, David J. Willshaw: Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing Springer 2001
11EEStefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw: Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19
10EEArjen van Ooyen, David J. Willshaw, Ger J. A. Ramakers: Influence of dendritic morphology on axonal competition. Neurocomputing 32-33: 255-260 (2000)
9 Bruce Graham, David J. Willshaw: Probabilistic Synaptic Transmission in the Associative Net. Neural Computation 11(1): 117-137 (1999)
8EEVolker Steuber, David J. Willshaw: Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing 26-27: 271-276 (1999)
7 Volker Steuber, David J. Willshaw: How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN 1997: 115-120
6 Arjen van Ooyen, David J. Willshaw: Competition Amongst Neurons for Neurotrophins. ICANN 1997: 139-144
5 Bruce Graham, David J. Willshaw: A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell. ICANN 1997: 151-156
4EEDavid J. Willshaw, John Hallam, Sarah Gingell, Soo Leng Lau: Marr's Theory of the Neocortex as a Self-Organizing Neural Network. Neural Computation 9(4): 911-936 (1997)
3 Bruce Graham, David J. Willshaw: Information Efficiency of the Associative Net at Arbitrary Coding Rates. ICANN 1996: 35-40
2EESamuel R. H. Joseph, David J. Willshaw: The Role of Activity in Synaptic Competition at the Neuromuscular Junction. NIPS 1995: 96-102
1EEBruce Graham, David J. Willshaw: Capacity and Information Efficiency of a Brain-like Associative Net. NIPS 1994: 513-520

Coauthor Index

1Jim Austin (James Austin) [11] [12]
2Simeon A. Bamford [16] [17]
3David I. Donaldson [18]
4Mark Elshaw [11]
5Sarah Gingell [4]
6Bruce P. Graham (Bruce Graham) [1] [3] [5] [9]
7Andrea Greve [18]
8John Hallam (John C. T. Hallam) [4]
9Samuel R. H. Joseph [2]
10Soo Leng Lau [4]
11Kit Longden [13]
12Alan F. Murray [16] [17]
13Arjen van Ooyen [6] [10]
14Ger J. A. Ramakers [10]
15Mark C. W. van Rossum [18]
16David C. Sterratt [15] [18]
17Volker Steuber [7] [8] [14]
18Stefan Wermter [11] [12]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)