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
Neuronal clustering and fasciculation phenotype in Dscam- and Bax-deficient mouse retinas.
– J Comp Neurol
(2012)
520,
1349
(doi: 10.1002/cne.23033)
Cellular spacing: Analysis and modelling of retinal mosaics
(2012)
365
(doi: 10.1007/978-94-007-3858-4_12)
Modeling developmental patterns of spontaneous activity
– Current Opinion in Neurobiology
(2011)
21,
679
(doi: 10.1016/j.conb.2011.05.015)
Analysis of simultaneous multielectrode recordings with 4,096 channels: changing dynamics of spontaneous activity in the developing retina
– BMC Neuroscience
(2011)
12,
p296
(doi: 10.1186/1471-2202-12-s1-p296)
Modeling developmental patterns of spontaneous activity
– Current opinion in neurobiology
(2011)
21,
679
(doi: 10.1016/j.conb.2011.05.015)
Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus
– PLoS Computational Biology
(2009)
5,
e1000618
(doi: 10.1371/journal.pcbi.1000618)
A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth.
– PLoS Comput Biol
(2009)
5,
e1000600
(doi: 10.1371/journal.pcbi.1000600)
Theoretical models of spontaneous activity generation and propagation in the developing retina.
– Molecular Omics
(2009)
5,
1527
(doi: 10.1039/b907213f)
A Quick Guide to Teaching R Programming to Computational Biology Students.
– PLOS Computational Biology
(2009)
5,
e1000482
(doi: 10.1371/journal.pcbi.1000482)
Analysis of spontaneous activity patterns in developing retina: algorithms and results
– BMC Neuroscience
(2009)
10,
p66
(doi: 10.1186/1471-2202-10-s1-p66)
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