Year |
Citation |
Score |
2016 |
Eglen S, Cutts C, Hjorth J, Sterratt D, Willshaw D. On a role for competitions in computational neuroscience F1000research. 5. DOI: 10.7490/F1000Research.1112004.1 |
0.668 |
|
2015 |
Hjorth JJ, Savier E, Sterratt DC, Reber M, Eglen SJ. Estimating the location and size of retinal injections from orthogonal images of an intact retina. Bmc Neuroscience. 16: 80. PMID 26590111 DOI: 10.1186/S12868-015-0217-8 |
0.556 |
|
2015 |
Hjorth JJ, Sterratt DC, Cutts CS, Willshaw DJ, Eglen SJ. Quantitative assessment of computational models for retinotopic map formation. Developmental Neurobiology. 75: 641-66. PMID 25367067 DOI: 10.1002/Dneu.22241 |
0.682 |
|
2015 |
Sterratt D. Encyclopedia of Computational Neuroscience Springer: New York. DOI: 10.1007/978-1-4614-6675-8_234 |
0.384 |
|
2014 |
Willshaw DJ, Sterratt DC, Teriakidis A. 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. PMID 24478361 DOI: 10.1523/JNEUROSCI.5602-12.2014 |
0.64 |
|
2013 |
Sterratt DC, Lyngholm D, Willshaw DJ, Thompson ID. 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. PMID 23468609 DOI: 10.1371/Journal.Pcbi.1002921 |
0.645 |
|
2012 |
Sterratt DC, Groen MR, Meredith RM, van Ooyen A. Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy. Plos Computational Biology. 8: e1002545. PMID 22719238 DOI: 10.1371/Journal.Pcbi.1002545 |
0.483 |
|
2011 |
Sterratt D, Graham B, Gillies A, Willshaw D. Principles of computational modelling in neuroscience Principles of Computational Modelling in Neuroscience. 1-390. DOI: 10.1017/CBO9780511975899 |
0.688 |
|
2009 |
Greve A, Sterratt DC, Donaldson DI, Willshaw DJ, van Rossum MC. Optimal learning rules for familiarity detection. Biological Cybernetics. 100: 11-9. PMID 19002710 DOI: 10.1007/s00422-008-0275-4 |
0.632 |
|
2009 |
Groen MR, Meredith RM, Sterratt DC, Mansvelder HD, van Ooyen A. Back propagating action potential and distant-dependent calcium signaling in CA1 pyramidal neurons Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P336 |
0.487 |
|
2008 |
Sterratt DC, Willshaw D. Inhomogeneities in heteroassociative memories with linear learning rules. Neural Computation. 20: 311-44. PMID 18047408 DOI: 10.1162/neco.2007.08-06-301 |
0.644 |
|
2004 |
Sterratt DC, van Ooyen A. Does a dendritic democracy need a ruler? Neurocomputing. 58: 437-442. DOI: 10.1016/j.neucom.2004.01.078 |
0.449 |
|
2002 |
Sterratt DC, Van Ooyen A. Does morphology influence temporal plasticity? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 186-191. |
0.457 |
|
Low-probability matches (unlikely to be authored by this person) |
2019 |
Sterratt D, Wójcik DK. Decision letter: NetPyNE, a tool for data-driven multiscale modeling of brain circuits Elife. DOI: 10.7554/Elife.44494.015 |
0.241 |
|
2013 |
Sterratt DC, Hjorth JJ. Retinocollicular mapping explained? Visual Neuroscience. 30: 125-8. PMID 23968139 DOI: 10.1017/S0952523813000254 |
0.229 |
|
2013 |
Sterratt DC. On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model. Plos One. 8: e67096. PMID 23826201 DOI: 10.1371/journal.pone.0067096 |
0.22 |
|
2021 |
Sorokina O, Mclean C, Croning MDR, Heil KF, Wysocka E, He X, Sterratt D, Grant SGN, Simpson TI, Armstrong JD. Author Correction: A unified resource and configurable model of the synapse proteome and its role in disease. Scientific Reports. 11: 16240. PMID 34349214 DOI: 10.1038/s41598-021-95608-0 |
0.171 |
|
2015 |
Sterratt D. Goldman-Hodgkin-Katz Equations Springer: New York. DOI: 10.1007/978-1-4614-6675-8_229 |
0.169 |
|
2014 |
Sterratt DC. Correction: On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model Plos One. 9. DOI: 10.1371/annotation/6d3b4757-2737-4570-9018-28802eb9437a |
0.168 |
|
2015 |
Sterratt DC, Sorokina O, Armstrong JD. 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. DOI: 10.1007/978-3-319-27656-4_9 |
0.149 |
|
2021 |
Sorokina O, Mclean C, Croning MDR, Heil KF, Wysocka E, He X, Sterratt D, Grant SGN, Simpson TI, Armstrong JD. A unified resource and configurable model of the synapse proteome and its role in disease. Scientific Reports. 11: 9967. PMID 33976238 DOI: 10.1038/s41598-021-88945-7 |
0.124 |
|
2009 |
Sterratt DC, Thompson I. Inference of original retinal coordinates from flattened retinae Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P3 |
0.116 |
|
1999 |
Sterratt DC. Is a biological temporal learning rule compatible with learning Synfire chains? Iee Conference Publication. 2: 551-556. |
0.109 |
|
1994 |
GUO Q, STERRATT D, WILLIAMS E. THE Cl/Si(100) INTERFACE OBSERVED BY ESDIAD AND RELATED TECHNIQUES Surface Review and Letters. 1: 539-543. DOI: 10.1142/S0218625X94000618 |
0.017 |
|
1996 |
Guo Q, Sterratt D, Williams EM. Chemical selectivity with ESD of chlorinated silicon species Surface Science. 357: 402-406. DOI: 10.1016/0039-6028(96)00188-4 |
0.01 |
|
1996 |
Guo Q, Sterratt D, Williams EM. Negative ion formation from SiCl4 adsorbed on Si(100) Surface Science. 352: 327-331. DOI: 10.1016/0039-6028(95)01155-2 |
0.01 |
|
1996 |
Guo Q, Sterratt D, Williams EM. The adsorption and bonding of chlorine at silicon (100) investigated using ESD/ESDIAD with C1+ and C1- ions Surface Science. 356: 75-91. |
0.01 |
|
1995 |
Guo Q, Sterratt D, Williams EM. Valence excitation and ESD of Cl+ ions from the Cl/Si (100) interface Journal of Electron Spectroscopy and Related Phenomena. 72: 31-36. DOI: 10.1016/0368-2048(94)02303-4 |
0.01 |
|
1995 |
Sterratt D, Guo Q, Williams EM. ESD and ion angular distributions of positive and negative chlorine ions from the silicon (1 0 0)/chlorine interface Nuclear Inst. and Methods in Physics Research, B. 101: 84-87. DOI: 10.1016/0168-583X(95)00068-2 |
0.01 |
|
1994 |
Sterratt D, Greenwood CL, Williams EM, Muryn CA, Wincott PL, Thornton G, Román E. The interaction of chlorine with Si(100)2 × 1 studied using soft X-ray photoemission and photon stimulated ion desorption Surface Science. 307: 269-273. DOI: 10.1016/0039-6028(94)90406-5 |
0.01 |
|
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