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Department of Applied Mathematics and Theoretical Physics

Professor Stephen John Eglen

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

DeepClean: Self-Supervised Artefact Rejection for Intensive Care Waveform Data Using Deep Generative Learning.
T Edinburgh, P Smielewski, M Czosnyka, M Cabeleira, SJ Eglen, A Ercole
(2019)
(DOI: 10.1007/978-3-030-59436-7_45)
Burst Detection Methods
E Cotterill, SJ Eglen
(2019)
22,
185
(DOI: 10.1007/978-3-030-11135-9_8)
Recent developments in scholarly publishing to improve research practices in the life sciences.
SJ Eglen, R Mounce, L Gatto, AM Currie, Y Nobis
– Emerging topics in life sciences
(2018)
2,
775
(DOI: 10.1042/etls20180172)
meaRtools: an R Package for the Analysis of Neuronal Networks Recorded on Microelectrode Arrays
S Gelfman, Q Wang, Y-F Lu, D Hall, CD Bostick, R Dhindsa, M Halvorsen, KM McSweeney, E Cotterill, T Edinburgh, MA Beaumont, WN Frankel, S Petrovski, AS Allen, MJ Boland, DB Goldstein, SJ Eglen
– PLoS Computational Biology
(2018)
14,
e1006506
(DOI: 10.1371/journal.pcbi.1006506)
Scholarly Publishing, Freedom of Information and Academic Self-Determination: The UNAM-Elsevier Case
E Priego, E McKiernan, A Posada, R Hartley, N Rodríguez-ortega, D Fiormonte, A Gil, C Logan, JP Alperin, R Mounce, S Eglen, EM Trigueros, S Lawson, L Gatto, A Ramos, N Pérez
(2017)
(DOI: 10.6084/m9.figshare.5632657.v1)
Toward standard practices for sharing computer code and programs in neuroscience
SJ Eglen, B Marwick, YO Halchenko, M Hanke, S Sufi, P Gleeson, RA Silver, AP Davison, L Lanyon, M Abrams, T Wachtler, DJ Willshaw, C Pouzat, J-B Poline
– Nature neuroscience
(2017)
20,
770
(DOI: 10.1038/nn.4550)
A molecular mechanism for the topographic alignment of convergent neural maps
E Savier, SJ Eglen, A Bathélémy, M Perraut, FW Pfrieger, G Lemke, M Reber
– eLife
(2017)
6,
e20470
(DOI: 10.7554/eLife.20470)
A comparison of computational methods for detecting bursts in neuronal spike trains and their application to human stem cell-derived neuronal networks.
E Cotterill, P Charlesworth, CW Thomas, O Paulsen, SJ Eglen
– J Neurophysiol
(2016)
116,
306
(DOI: 10.1152/jn.00093.2016)
Ten Simple Rules for Taking Advantage of Git and GitHub.
Y Perez-Riverol, L Gatto, R Wang, T Sachsenberg, J Uszkoreit, FDV Leprevost, C Fufezan, T Ternent, SJ Eglen, DS Katz, TJ Pollard, A Konovalov, RM Flight, K Blin, JA Vizcaíno
– PLOS Computational Biology
(2016)
12,
e1004947
(DOI: 10.1371/journal.pcbi.1004947)
Ten Simple Rules for Taking Advantage of git and GitHub
Y Perez-Riverol, L Gatto, R Wang, T Sachsenberg, J Uszkoreit, FD Veiga Leprevost, C Fufezan, T Ternent, S Eglen, D Katz, T Pollard, A Konovalov, R Flight, K Blin, JA Vizcaino
(2016)
(DOI: 10.1101/048744)
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Research Group

Computational Biology

Email

S.J.Eglen@damtp.cam.ac.uk

Room

G0.11

Personal homepage

http://www.damtp.cam.ac.uk/user/sje30/

Study at Cambridge

About the University

Research at Cambridge