Stephen J. Eglen
University of Cambridge
H-index: 34
Europe-United Kingdom
Top articles of Stephen J. Eglen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures | bioRxiv | Timothy PH Sit Rachael C Feord Alexander WE Dunn Jeremi Chabros David Oluigbo | 2024 |
Open letter to the Society for Neuroscience | Authorea Preprints | Erin C McKiernan Marco Arieli Herrera-Valdez Christopher R Madan Philippe Desjardins-Proulx Anders Eklund | 2023/4/17 |
Bayesian model selection for multilevel models using integrated likelihoods | Plos one | Tom Edinburgh Ari Ercole Stephen Eglen | 2023/2/15 |
Package ‘foreign’ | R Core Team Roger Bivand Vincent J Carey Saikat DebRoy Stephen Eglen | 2023/11/26 | |
Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation | Gigabyte | Tom Edinburgh Stephen J Eglen Patrick Thoral Paul Elbers Ari Ercole | 2022 |
Retinotopic Development, Models of | Stephen J Eglen | 2022/6/12 | |
Analysis of Activity Dependent Development of Topographic Maps in Neural Field Theory with Short Time Scale Dependent Plasticity | Mathematical Neuroscience and Applications | Nicholas Gale Jennifer Rodger Michael Small Stephen Eglen | 2022/3/11 |
Homophilic wiring principles underpin neuronal network topology in vitro | BioRxiv | Danyal Akarca Alexander WE Dunn Philipp J Hornauer Silvia Ronchi Michele Fiscella | 2022/3/10 |
Causality indices for bivariate time series data: A comparative review of performance | Tom Edinburgh Stephen J Eglen Ari Ercole | 2021/8/1 | |
DeepClean: Self-supervised artefact rejection for intensive care waveform data using deep generative learning | Tom Edinburgh Peter Smielewski Marek Czosnyka Manuel Cabeleira Stephen J Eglen | 2021/4/11 | |
CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility | F1000Research | Daniel Nüst Stephen J Eglen | 2021 |
Ten simple rules for writing Dockerfiles for reproducible data science | Daniel Nüst Vanessa Sochat Ben Marwick Stephen J Eglen Tim Head | 2020/11/10 | |
From random to regular: Variation in the patterning of retinal mosaics | Patrick W Keeley Stephen J Eglen Benjamin E Reese | 2020/9/1 | |
Open Code and Peer Review | Open Science Talk | Stephen Eglen Erik Lieungh | 2020/2/4 |
CODECHECK certificate 2020-010 | Zenodo. | Stephen J Eglen | 2020 |
How do we peer review data? New sustainable and effective models | Lauren Cadwallader Kiera McNeice Stephen Eglen | 2020/11/27 |
Co-Authors
