David Sterratt

University of Edinburgh, Edinburgh, Scotland, United Kingdom 
Computational neuroscience
"David Sterratt"
Mean distance: 14.9 (cluster 17)
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Hjorth JJ, Savier E, Sterratt DC, et al. (2015) Estimating the location and size of retinal injections from orthogonal images of an intact retina. Bmc Neuroscience. 16: 80
Hjorth JJ, Sterratt DC, Cutts CS, et al. (2015) Quantitative assessment of computational models for retinotopic map formation. Developmental Neurobiology. 75: 641-66
Sterratt DC, Sorokina O, Armstrong JD. (2015) Integration of rule-based models and compartmental models of neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7699: 143-158
Willshaw DJ, Sterratt DC, Teriakidis A. (2014) Analysis of local and global topographic order in mouse retinocollicular maps. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 1791-805
Sterratt DC, Hjorth JJ. (2013) Retinocollicular mapping explained? Visual Neuroscience. 30: 125-8
Sterratt DC. (2013) On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model. Plos One. 8: e67096
Sterratt DC, Lyngholm D, Willshaw DJ, et al. (2013) Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package. Plos Computational Biology. 9: e1002921
Sterratt DC, Groen MR, Meredith RM, et al. (2012) Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy. Plos Computational Biology. 8: e1002545
Sterratt D, Graham B, Gillies A, et al. (2011) Principles of computational modelling in neuroscience Principles of Computational Modelling in Neuroscience. 1-390
Greve A, Sterratt DC, Donaldson DI, et al. (2009) Optimal learning rules for familiarity detection. Biological Cybernetics. 100: 11-9
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