David J. Willshaw

33 papers B 1C 4Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity. PLoS Comput. Biol. Michael J. Hull, Stephen R. Soffe, David J. Willshaw, Alan Roberts
2015	J	`jnl`	Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity. PLoS Comput. Biol. Michael J. Hull, Stephen R. Soffe, David J. Willshaw, Alan Roberts
2013	J	`jnl`	Standard Anatomical and Visual Space for the Mouse Retina: Computational Reconstruction and Transformation of Flattened Retinae with the Retistruct Package. PLoS Comput. Biol. David C. Sterratt, Daniel Lyngholm, David J. Willshaw, Ian D. Thompson
2013	J	`jnl`	morphforge: a toolbox for simulating small networks of biologically detailed neurons in Python. Frontiers Neuroinformatics Michael J. Hull, David J. Willshaw
2012	J	`jnl`	Spike-Timing-Dependent Plasticity With Weight Dependence Evoked From Physical Constraints. IEEE Trans. Biomed. Circuits Syst. Simeon A. Bamford, Alan F. Murray, David J. Willshaw
2010	J	`jnl`	Large developing receptive fields using a distributed and locally reprogrammable address-event receiver. IEEE Trans. Neural Networks Simeon A. Bamford, Alan F. Murray, David J. Willshaw
2010	J	`jnl`	Synaptic rewiring for topographic mapping and receptive field development. Neural Networks Simeon A. Bamford, Alan F. Murray, David J. Willshaw
2009	J	`jnl`	Optimal learning rules for familiarity detection. Biol. Cybern. Andrea Greve, David C. Sterratt, David I. Donaldson, David J. Willshaw, Mark C. W. van Rossum
2008	J	`jnl`	Inhomogeneities in Heteroassociative Memories with Linear Learning Rules. Neural Comput. David C. Sterratt, David J. Willshaw
2008	B	`conf`	Large developing axonal arbors using a distributed and locally-reprogrammable address-event receiver. IJCNN Simeon A. Bamford, Alan F. Murray, David J. Willshaw
2008	—	`conf`	Synaptic Rewiring for Topographic Map Formation. ICANN (2) Simeon A. Bamford, Alan F. Murray, David J. Willshaw
2004	J	`jnl`	A Biophysical Model of Synaptic Delay Learning and Temporal Pattern Recognition in a Cerebellar Purkinje Cell. J. Comput. Neurosci. Volker Steuber, David J. Willshaw
2002	J	`jnl`	An evaluation of recurrent feedforward memory networks and their relevance to the hippocampus. Neurocomputing Kit Longden, David J. Willshaw
2001	—	`ed.`	Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing Emergent Neural Computational Architectures Based on Neuroscience Stefan Wermter, Jim Austin, David J. Willshaw
2001	—	`conf`	Towards Novel Neuroscience-Inspired Computing. Emergent Neural Computational Architectures Based on Neuroscience Stefan Wermter, Jim Austin, David J. Willshaw, Mark Elshaw
2000	J	`jnl`	Influence of dendritic morphology on axonal competition. Neurocomputing Arjen van Ooyen, David J. Willshaw, Ger J. A. Ramakers
1999	J	`jnl`	Adaptive leaky integrator models of cerebellar Purkinje cells can learn the clustering of temporal patterns. Neurocomputing Volker Steuber, David J. Willshaw
1999	J	`jnl`	Evolving Swimming Controllers for a Simulated Lamprey with Inspiration from Neurobiology. Adapt. Behav. Auke Jan Ijspeert, John Hallam, David J. Willshaw
1999	J	`jnl`	Probabilistic Synaptic Transmission in the Associative Net. Neural Comput. Bruce Graham, David J. Willshaw
1997	C	`conf`	A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell. ICANN Bruce Graham, David J. Willshaw
1997	—	`conf`	A Model of the Interactions between the Globus Pallidus and Subthalamic Nucleus. ICONIP (1) A. Gillies, David J. Willshaw
1997	J	`jnl`	A new approach to Kanerva's sparse distributed memory. IEEE Trans. Neural Networks Tim A. Hely, David J. Willshaw, Gillian M. Hayes
1997	C	`conf`	Competition Amongst Neurons for Neurotrophins. ICANN Arjen van Ooyen, David J. Willshaw
1997	C	`conf`	How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response. ICANN Volker Steuber, David J. Willshaw
1997	J	`jnl`	Marr's Theory of the Neocortex as a Self-Organizing Neural Network. Neural Comput. David J. Willshaw, John Hallam, Sarah Gingell, Soo Leng Lau
1996	C	`conf`	Information Efficiency of the Associative Net at Arbitrary Coding Rates. ICANN Bruce Graham, David J. Willshaw
1995	J	`jnl`	Improving recall from an associative memory. Biol. Cybern. Bruce P. Graham, David J. Willshaw
1995	—	`conf`	The Role of Activity in Synaptic Competition at the Neuromuscular Junction. NIPS Samuel R. H. Joseph, David J. Willshaw
1994	—	`conf`	Capacity and Information Efficiency of a Brain-like Associative Net. NIPS Bruce Graham, David J. Willshaw
1994	J	`jnl`	Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation. Neural Comput. Geoffrey J. Goodhill, David J. Willshaw
1993	J	`jnl`	Presynaptic and postsynaptic competition in models for the development of neuromuscular connections. Biol. Cybern. Carl Edward Rasmussen, David J. Willshaw
1991	J	`jnl`	Optimising synaptic learning rules in linear associative memories. Biol. Cybern. Peter Dayan, David J. Willshaw
1990	J	`jnl`	Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down. Neural Comput. David J. Willshaw, Peter Dayan