Stephen J. Eglen

Orcid: 0000-0001-8607-8025

Affiliations:
  • University of Cambridge, Cambridge Computational Biology Institute, UK


According to our database1, Stephen J. Eglen authored at least 14 papers between 1997 and 2021.

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Timeline

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Bibliography

2021
CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility.
F1000Research, 2021

2020
Ten simple rules for writing Dockerfiles for reproducible data science.
PLoS Comput. Biol., 2020

2019
DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning.
CoRR, 2019

2018
meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays.
PLoS Comput. Biol., 2018

2016
Ten Simple Rules for Taking Advantage of Git and GitHub.
PLoS Comput. Biol., 2016

Requirements for storing electrophysiology data.
CoRR, 2016

2014
Retinotopic Development, Models of.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Open access: Sharing your data is easier than you think.
Nat., 2014

2013
Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling.
Frontiers Comput. Neurosci., 2013

2009
A Multi-Component Model of the Developing Retinocollicular Pathway Incorporating Axonal and Synaptic Growth.
PLoS Comput. Biol., 2009

Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus.
PLoS Comput. Biol., 2009

A Quick Guide to Teaching R Programming to Computational Biology Students.
PLoS Comput. Biol., 2009

2007
The Role of Simplifying Models in Neuroscience: Modelling Structure and Function.
Proceedings of the Bio-Inspired Computing and Communication, 2007

1997
Modelling the development of the retinogeniculate pathway.
PhD thesis, 1997


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