
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
Mecp2 deficiency impairs microscale cortical network topology and dynamics in a Rett syndrome mouse model.
– bioRxiv
(2025)
(doi: 10.64898/2025.12.17.694950)
Beyond the numbers: advancing responsible research assessment report
(2025)
(doi: 10.17863/CAM.125218)
Homophilic wiring principles underpin neuronal network topology in vitro.
– eLife
(2025)
14,
e85300
(doi: 10.7554/eLife.85300)
MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings.
– Cell Reports Methods
(2024)
4,
100901
(doi: 10.1016/j.crmeth.2024.100901)
Effects of long-term transcutaneous auricular vagus nerve stimulation on circadian vagal activity in people with Prader-Willi Syndrome: A case-series.
– Research in Developmental Disabilities
(2024)
154,
104855
(doi: 10.1016/j.ridd.2024.104855)
Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset.
– PLoS One
(2024)
19,
e0304133
(doi: 10.1371/journal.pone.0304133)
MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures
(2024)
(doi: 10.1101/2024.02.05.578738)
Bayesian model selection for multilevel models using integrated likelihoods
– Plos One
(2023)
18,
e0280046
(doi: 10.48550/arxiv.2207.02144)
Bayesian model selection for multilevel models using integrated
likelihoods
(2022)
(doi: 10.48550/arxiv.2207.02144)
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