David J. Willshaw

Publication Activity (10 Years)

Years Active: 1990-2016
Publications (10 Years): 1

Top Topics

Cartesian Coordinates

Biologically Plausible

Physical Constraints

Top Venues

PLoS Comput. Biol.

Frontiers Neuroinformatics

IEEE Trans. Biomed. Circuits Syst.

Publications

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)
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)
Michael J. Hull, David J. Willshaw
morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Frontiers Neuroinformatics 7 (2013)
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)
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) (2012)
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) (2010)
Simeon A. Bamford, Alan F. Murray, David J. Willshaw
Synaptic rewiring for topographic mapping and receptive field development. Neural Networks 23 (4) (2010)
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) (2009)
Simeon A. Bamford, Alan F. Murray, David J. Willshaw
Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver. IJCNN (2008)
Simeon A. Bamford, Alan F. Murray, David J. Willshaw
Synaptic Rewiring for Topographic Map Formation. ICANN (2) (2008)
David C. Sterratt, David J. Willshaw
Inhomogeneities in Heteroassociative Memories with Linear Learning Rules. Neural Comput. 20 (2) (2008)
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) (2004)
Kit Longden, David J. Willshaw
An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus. Neurocomputing (2002)
Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw
Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Arjen van Ooyen, David J. Willshaw, Ger J. A. Ramakers
Influence of dendritic morphology on axonal competition. Neurocomputing (2000)
Volker Steuber, David J. Willshaw
Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing (1999)
Bruce Graham, David J. Willshaw
Probabilistic Synaptic Transmission in the Associative Net. Neural Comput. 11 (1) (1999)
Auke Jan Ijspeert, John Hallam, David J. Willshaw
Evolving Swimming Controllers for a Simulated Lamprey with Inspiration from Neurobiology. Adapt. Behav. 7 (2) (1999)
A. Gillies, David J. Willshaw
A Model of the Interactions between the Globus Pallidus and Subthalamic Nucleus. ICONIP (1) (1997)
Bruce Graham, David J. Willshaw
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell. ICANN (1997)
Tim A. Hely, David J. Willshaw, Gillian M. Hayes
A new approach to Kanerva's sparse distributed memory. IEEE Trans. Neural Networks 8 (3) (1997)
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) (1997)
Volker Steuber, David J. Willshaw
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN (1997)
Arjen van Ooyen, David J. Willshaw
Competition Amongst Neurons for Neurotrophins. ICANN (1997)
Bruce Graham, David J. Willshaw
Information Efficiency of the Associative Net at Arbitrary Coding Rates. ICANN (1996)
Bruce P. Graham, David J. Willshaw
Improving recall from an associative memory. Biol. Cybern. 72 (4) (1995)
Samuel R. H. Joseph, David J. Willshaw
The Role of Activity in Synaptic Competition at the Neuromuscular Junction. NIPS (1995)
Bruce Graham, David J. Willshaw
Capacity and Information Efficiency of a Brain-like Associative Net. NIPS (1994)
Geoffrey J. Goodhill, David J. Willshaw
Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation. Neural Comput. 6 (4) (1994)
Carl Edward Rasmussen, David J. Willshaw
Presynaptic and postsynaptic competition in models for the development of neuromuscular connections. Biol. Cybern. 68 (5) (1993)
Peter Dayan, David J. Willshaw
Optimising synaptic learning rules in linear associative memories. Biol. Cybern. 65 (4) (1991)
David J. Willshaw, Peter Dayan
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural Comput. 2 (1) (1990)