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Faculty of Mathematics

 

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

Functional characterization of human pluripotent stem cell-derived cortical networks differentiated on laminin-521 substrate: comparison to rat cortical cultures
T Hyvärinen, A Hyysalo, FE Kapucu, L Aarnos, A Vinogradov, SJ Eglen, L Ylä-Outinen, S Narkilahti
– Scientific Reports
(2019)
9,
17125
CODECHECK: An open-science initiative to facilitate sharing of computer programs and results presented in scientific publications
S Eglen, D Nüst
– Septentrio Conference Series
(2019)
DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning.
T Edinburgh, P Smielewski, M Czosnyka, SJ Eglen, A Ercole
– CoRR
(2019)
abs/1908.03129,
Burst Detection Methods
E Cotterill, SJ Eglen
– No journal
(2019)
22,
185
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
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
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
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
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
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
– Journal of Neurophysiology
(2016)
116,
306
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Research Group

Computational Biology

Room

G0.11

Telephone

01223 765761