| * | 2009 |
| 19 | EE | Andrea 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) |
| 2008 |
| 18 | EE | Simeon A. Bamford,
Alan F. Murray,
David J. Willshaw:
Synaptic Rewiring for Topographic Map Formation.
ICANN (2) 2008: 218-227 |
| 17 | EE | Simeon 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 |
| 16 | EE | David C. Sterratt,
David J. Willshaw:
Inhomogeneities in Heteroassociative Memories with Linear Learning Rules.
Neural Computation 20(2): 311-344 (2008) |
| 2004 |
| 15 | EE | Volker 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) |
| 2002 |
| 14 | EE | Kit Longden,
David J. Willshaw:
An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus.
Neurocomputing 44-46: 527-531 (2002) |
| 2001 |
| 13 | | Stefan Wermter,
Jim Austin,
David J. Willshaw:
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Springer 2001 |
| 12 | EE | Stefan Wermter,
Jim Austin,
David J. Willshaw,
Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 |
| 2000 |
| 11 | EE | Arjen van Ooyen,
David J. Willshaw,
Ger J. A. Ramakers:
Influence of dendritic morphology on axonal competition.
Neurocomputing 32-33: 255-260 (2000) |
| 1999 |
| 10 | | Bruce Graham,
David J. Willshaw:
Probabilistic Synaptic Transmission in the Associative Net.
Neural Computation 11(1): 117-137 (1999) |
| 9 | EE | Volker 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) |
| 1997 |
| 8 | | 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 |
| 7 | | Arjen van Ooyen,
David J. Willshaw:
Competition Amongst Neurons for Neurotrophins.
ICANN 1997: 139-144 |
| 6 | | Bruce Graham,
David J. Willshaw:
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell.
ICANN 1997: 151-156 |
| 5 | EE | David 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) |
| 1996 |
| 4 | | Bruce Graham,
David J. Willshaw:
Information Efficiency of the Associative Net at Arbitrary Coding Rates.
ICANN 1996: 35-40 |
| 1995 |
| 3 | EE | Samuel R. H. Joseph,
David J. Willshaw:
The Role of Activity in Synaptic Competition at the Neuromuscular Junction.
NIPS 1995: 96-102 |
| 1994 |
| 2 | EE | Bruce Graham,
David J. Willshaw:
Capacity and Information Efficiency of a Brain-like Associative Net.
NIPS 1994: 513-520 |
| 1 | EE | Geoffrey J. Goodhill,
David J. Willshaw:
Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation.
Neural Computation 6(4): 615-621 (1994) |