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ORCIDDavid J. Willshaw
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- affiliation: University of Edinburgh, UK
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2010 – 2019
- 2016
[j24]Michael J. Hull, Stephen R. Soffe, David J. Willshaw, Alan Roberts:
Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity. PLoS Comput. Biol. 12(1) (2016)- 2015
- [j23]Michael J. Hull, Stephen R. Soffe, David J. Willshaw, Alan Roberts:
Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity. PLoS Comput. Biol. 11(5) (2015) - 2013
- [j22]Michael J. Hull, David J. Willshaw:
morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Frontiers Neuroinformatics 7: 47 (2013) - [j21]David C. Sterratt
, Daniel Lyngholm, David J. Willshaw, Ian D. Thompson:
Standard Anatomical and Visual Space for the Mouse Retina: Computational Reconstruction and Transformation of Flattened Retinae with the Retistruct Package. PLoS Comput. Biol. 9(2) (2013) - 2012
- [j20]Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
Spike-Timing-Dependent Plasticity With Weight Dependence Evoked From Physical Constraints. IEEE Trans. Biomed. Circuits Syst. 6(4): 385-398 (2012) - 2010
- [j19]Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
Synaptic rewiring for topographic mapping and receptive field development. Neural Networks 23(4): 517-527 (2010) - [j18]Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
Large developing receptive fields using a distributed and locally reprogrammable address-event receiver. IEEE Trans. Neural Networks 21(2): 286-304 (2010)
2000 – 2009
- 2009
- [j17]Andrea Greve, David C. Sterratt, David I. Donaldson, David J. Willshaw, Mark C. W. van Rossum:
Optimal learning rules for familiarity detection. Biol. Cybern. 100(1): 11-19 (2009) - 2008
- [j16]David C. Sterratt, David J. Willshaw:
Inhomogeneities in Heteroassociative Memories with Linear Learning Rules. Neural Comput. 20(2): 311-344 (2008) - [c11]Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
Synaptic Rewiring for Topographic Map Formation. ICANN (2) 2008: 218-227 - [c10]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 - 2004
- [j15]Paulo Aguiar, David Willshaw:
Hippocampal mossy fibre boutons as dynamical synapses. Neurocomputing 58-60: 699-703 (2004) - [j14]Volker Steuber, David J. Willshaw:
A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell. J. Comput. Neurosci. 17(2): 149-164 (2004) - 2003
- [j13]Peter Eckersley, Gary F. Egan, Erik De Schutter, Yiyuan Tang, Mirko Novak, Václav Sebesta, Line Matthiessen, Iiro P. Jääskeläinen, Ulla Ruotsalainen, Andreas V. M. Herz, K. Peter Hoffmann, Raphael Ritz, Viji Ravindranath, Francesco Beltrame, Shun-ichi Amari, Shiro Usui, Soo-Young Lee, Jaap van Pelt, Jan G. Bjaalie, Andrzej Wróbel, Fernando Mira da Silva, Carmen González, Sten Grillner, Paul F. M. J. Verschure, Turgay Dalkara, Robert Bennett, David Willshaw, Stephen H. Koslow, Perry L. Miller, Shankar Subramaniam, Arthur W. Toga:
Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics. Neuroinformatics 1(2): 149-165 (2003) - 2002
- [j12]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
- [c9]Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw:
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience 2001: 1-19 - [e1]Stefan Wermter, Jim Austin, David J. Willshaw:
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing. Lecture Notes in Computer Science 2036, Springer 2001, ISBN 3-540-42363-X [contents] - 2000
- [j11]Arjen van Ooyen, David J. Willshaw, Ger J. A. Ramakers:
Influence of dendritic morphology on axonal competition. Neurocomputing 32-33: 255-260 (2000)
1990 – 1999
- 1999
- [j10]Auke Jan Ijspeert, John Hallam, David J. Willshaw:
Evolving Swimming Controllers for a Simulated Lamprey with Inspiration from Neurobiology. Adapt. Behav. 7(2): 151-172 (1999) - [j9]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) - [j8]Bruce Graham, David J. Willshaw:
Probabilistic Synaptic Transmission in the Associative Net. Neural Comput. 11(1): 117-137 (1999) - 1997
- [j7]David J. Willshaw, John Hallam, Sarah Gingell, Soo Leng Lau:
Marr's Theory of the Neocortex as a Self-Organizing Neural Network. Neural Comput. 9(4): 911-936 (1997) - [j6]Tim A. Hely, David J. Willshaw, Gillian M. Hayes:
A new approach to Kanerva's sparse distributed memory. IEEE Trans. Neural Networks 8(3): 791-794 (1997) - [c8]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 - [c7]Arjen van Ooyen, David J. Willshaw:
Competition Amongst Neurons for Neurotrophins. ICANN 1997: 139-144 - [c6]Bruce Graham, David J. Willshaw:
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell. ICANN 1997: 151-156 - [c5]A. Gillies, David J. Willshaw:
A Model of the Interactions between the Globus Pallidus and Subthalamic Nucleus. ICONIP (1) 1997: 132-135 - 1996
- [c4]Bruce Graham, David J. Willshaw:
Information Efficiency of the Associative Net at Arbitrary Coding Rates. ICANN 1996: 35-40 - 1995
- [j5]Bruce P. Graham, David J. Willshaw:
Improving recall from an associative memory. Biol. Cybern. 72(4): 337-346 (1995) - [c3]Samuel R. H. Joseph, David J. Willshaw:
The Role of Activity in Synaptic Competition at the Neuromuscular Junction. NIPS 1995: 96-102 - 1994
- [j4]Geoffrey J. Goodhill, David J. Willshaw:
Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation. Neural Comput. 6(4): 615-621 (1994) - [c2]Bruce Graham, David J. Willshaw:
Capacity and Information Efficiency of a Brain-like Associative Net. NIPS 1994: 513-520 - 1993
- [j3]Carl Edward Rasmussen, David J. Willshaw:
Presynaptic and postsynaptic competition in models for the development of neuromuscular connections. Biol. Cybern. 68(5): 409-419 (1993) - [c1]V. Ashley Walker, John Hallam, David Willshaw:
Bee-havior in a mobile robot: the construction of a self-organized cognitive map and its use in robot navigation within a complex, natural environment. ICNN 1993: 1451-1456 - 1991
- [j2]Peter Dayan, David J. Willshaw:
Optimising synaptic learning rules in linear associative memories. Biol. Cybern. 65(4): 253-265 (1991) - 1990
- [j1]David J. Willshaw, Peter Dayan:
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural Comput. 2(1): 85-93 (1990)
1970 – 1979
- 1971
- [b1]David Willshaw:
Models of distributed associative memory. University of Edinburgh, UK, 1971
Coauthor Index
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