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David C Sterratt
David C Sterratt
Verified email at ed.ac.uk
Title
Cited by
Cited by
Year
Principles of computational modelling in neuroscience
D Sterratt, B Graham, A Gillies, G Einevoll, D Willshaw
Cambridge University Press, 2023
4632023
Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows
G Papamakarios, DC Sterratt, I Murray
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
2962019
geometry: Mesh generation and surface tesselation
CB Barber, K Habel, R Grasman, RB Gramacy, A Stahel, DC Sterratt
R Package Version 0.3-1, URL http://cran. r-project. org/web/packages …, 2012
115*2012
Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package
DC Sterratt, D Lyngholm, DJ Willshaw, ID Thompson
PLoS Computational Biology 9 (2), e1002921, 2013
972013
geometry: Mesh Generation and Surface Tesselation
K Habel, R Grasman, RB Gramacy, A Stahel, DC Sterratt
R package version 0.3-6, 2015
63*2015
Q10: The Effect of Temperature on Ion Channel Kinetics
DC Sterratt
Encyclopedia of Computational Neuroscience, 2551-2552, 2015
292015
A unified resource and configurable model of the synapse proteome and its role in disease
O Sorokina, C Mclean, MDR Croning, KF Heil, E Wysocka, X He, ...
Scientific reports 11 (1), 9967, 2021
252021
Quantitative assessment of computational models for retinotopic map formation
JJ Hjorth, DC Sterratt, CS Cutts, DJ Willshaw, SJ Eglen
Developmental Neurobiology 75 (6), 641-666, 2015
212015
Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy
DC Sterratt, MR Groen, RM Meredith, A Van Ooyen
PLoS Comput Biol 8 (6), e1002545, 2012
202012
Inhomogeneities in heteroassociative memories with linear learning rules
DC Sterratt, D Willshaw
Neural Computation 20 (2), 311-344, 2008
142008
geometry: Mesh generation and surface tessellation
JR Roussel, CB Barber, K Habel, R Grasman, RB Gramacy, ...
R package version 0.4 6, 2022
132022
Optimal learning rules for familiarity detection
A Greve, DC Sterratt, DI Donaldson, DJ Willshaw, MCW Van Rossum
Biological Cybernetics 100 (1), 11-19, 2009
112009
Analysis of local and global topographic order in mouse retinocollicular maps
DJ Willshaw, DC Sterratt, A Teriakidis
Journal of Neuroscience 34 (5), 1791-1805, 2014
92014
Does morphology influence temporal plasticity?
DC Sterratt, A van Ooyen
International Conference on Artificial Neural Networks, 186-191, 2002
92002
Locust Olfaction
DC Sterratt
Emergent neural computational architectures based on neuroscience, 270-284, 2001
82001
Goldman-Hodgkin-Katz Equations
DC Sterratt
Encyclopedia of Computational Neuroscience, 1300-1302, 2015
72015
Spikes, synchrony, sequences and Schistocerca's sense of smell
DC Sterratt
The University of Edinburgh, 2002
72002
Is a biological temporal learning rule compatible with learning Synfire chains?
DC Sterratt
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference …, 1999
71999
Estimating the location and size of retinal injections from orthogonal images of an intact retina
JJJ Hjorth, E Savier, DC Sterratt, M Reber, SJ Eglen
BMC Neuroscience 16 (1), 80, 2015
62015
Nernst Equation
DC Sterratt
Encyclopedia of Computational Neuroscience, 1843-1844, 2015
5*2015
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Articles 1–20