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Department of Applied Mathematics and Theoretical Physics

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

MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures.
TP Sit, RC Feord, AW Dunn, J Chabros, D Oluigbo, HH Smith, L Burn, E Chang, A Boschi, Y Yuan, GM Gibbons, M Khayat-Khoei, F De Angelis, E Hemberg, M Hemberg, MA Lancaster, A Lakatos, SJ Eglen, O Paulsen, SB Mierau
(2024)
Rights Retention Strategy: a Primer from UKRN
R Network, S Eglen
(2023)
Bayesian model selection for multilevel models using integrated likelihoods
T Edinburgh, A Ercole, S Eglen
– PLoS ONE
(2023)
18,
e0280046
Bayesian model selection for multilevel models using integrated likelihoods
T Edinburgh, A Ercole, SJ Eglen
(2022)
Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation.
T Edinburgh, SJ Eglen, P Thoral, P Elbers, A Ercole
– GigaByte
(2022)
2022,
gigabyte45
Analysis of Activity Dependent Development of Topographic Maps in Neural Field Theory with Short Time Scale Dependent Plasticity
N Gale, J Rodger, M Small, S Eglen
– Mathematical Neuroscience and Applications
(2022)
2,
Homophilic wiring principles underpin neuronal network topology in vitro
D Akarca, A Dunn, P Hornauer, S Ronchi, M Fiscella, C Wang, M Terrigno, R Jagasia, P Vértes, S Mierau, O Paulsen, S Eglen, A Hierlemann, D Astle, M Schröter
(2022)
Causality indices for bivariate time series data: a comparative review of performance
T Edinburgh, SJ Eglen, A Ercole
– Chaos: An Interdisciplinary Journal of Nonlinear Science
(2021)
31,
083111
Causality indices for bivariate time series data: A comparative review of performance
T Edinburgh, SJ Eglen, A Ercole
– Chaos (Woodbury, N.Y.)
(2021)
31,
083111
DeepClean: Self-Supervised Artefact Rejection for Intensive Care Waveform Data Using Deep Generative Learning
T Edinburgh, M Czosnyka, P Smielewski, M Cabeleira, S Eglen, A Ercole
– Acta Neurochirurgica: Supplementum
(2021)
131,
235
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Research Group

Computational Biology

Room

G0.11