Career
- 1997-2000 Wellcome Trust Fellow in Mathematical Biology, Edinburgh
- 2000-2001 Lecturer, School of Informatics, Edinburgh
- 2001-2004 Wellcome Trust Travelling Fellowship, St Louis and Edinburgh
- 2004-2006 Lecturer, DAMTP
- 2006-2015 Senior Lecturer, DAMTP
- 2015- Reader. DAMTP
Research
Stephen Eglen is a computational neuroscientist: he uses computational methods to study the development of the nervous system, using mostly the retina and other parts of the visual pathway as a model system. He is particularly interested in questions of structural and functional development:
Structural development: how do retinal neurons acquire their positional information within a circuit?
Functional development: what are the mechanisms by which neurons make contact with each other, to perform functioning circuits?
Selected Publications
Please see my publications page
Publications
Editorial: Quantitative Analysis of Neuroanatomy.
– Frontiers in neuroanatomy
(2015)
9,
1
(doi: 10.3389/fnana.2015.00143)
Canalization of genetic and pharmacological perturbations in developing primary neuronal activity patterns
– Neuropharmacology
(2015)
100,
47
Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures.
– Neural development
(2015)
10,
1
(doi: 10.1186/s13064-014-0028-0)
Editorial: Quantitative Analysis of Neuroanatomy
– FRONTIERS IN NEUROANATOMY
(2015)
9,
ARTN 147
(doi: 10.3389/fnana.7015.00147)
Quantitative assessment of computational models for retinotopic map formation.
– Developmental neurobiology
(2014)
75,
641
(doi: 10.1002/dneu.22241)
Detecting Pairwise Correlations in Spike Trains: An Objective Comparison of Methods and Application to the Study of Retinal Waves
– J Neurosci
(2014)
34,
14288
Quantitative differences in developmental profiles of spontaneous activity in cortical and hippocampal cultures
(2014)
(doi: 10.1101/009845)
Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves
(2014)
006635
(doi: 10.1101/006635)
Open access: Sharing your data is easier than you think.
– Nat.
(2014)
510,
340
(doi: 10.1038/510340c)
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