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David 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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last updated on 2024-08-05 20:19 CEST by the dblp team
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