Stephen J. Eglen

发表

Towards standard practices for sharing computer code and programs in neuroscience

David Willshaw, Shoaib Sufi, Jean-Baptiste Poline, 2016 .

Modelling the Bivariate Spatial Distribution of Amacrine Cells

Peter J. Diggle, Stephen J. Eglen, John B. Troy, 2006 .

Sharing your data is easier than you think: Open access

Stephen J. Eglen, 2014 .

Ten Simple Rules for Taking Advantage of Git and GitHub

Kai Blin, Juan Antonio Vizcaíno, Daniel S. Katz, 2014, bioRxiv.

Retinotopic Development, Models of.

Stephen J. Eglen, 2014 .

Minimum Information about a Neuroscience Investigation (MINI): Electrophysiology

Miles A. Whittington, Phillip Lord, Martyn Fletcher, 2008 .

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning pdf

Stephen J. Eglen, Ari Ercole, Marek Czosnyka, 2019, ArXiv.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning

Stephen J. Eglen, Tom Edinburgh, Peter Smielewski, 2019 .

Quantitative Analysis of Neuroanatomy

Stephen J. Eglen, Hermann Cuntz, Julian M. L. Budd, 2016 .

Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling

Stephen J. Eglen, Julijana Gjorgjieva, Jimena Berni, 2013, Front. Comput. Neurosci..

From random to regular: Variation in the patterning of retinal mosaics*

Stephen J. Eglen, Patrick W. Keeley, Benjamin E. Reese, 2019, The Journal of comparative neurology.

Detecting pairwise correlations in spike trains: an objective comparison of methods and application to the study of retinal waves

Stephen J. Eglen, Catherine S. Cutts, 2014 .

Estimating the location and size of retinal injections from orthogonal images of an intact retina

Elise Savier, David C. Sterratt, Stephen J. Eglen, 2015, BMC Neuroscience.

The Role of Simplifying Models in Neuroscience: Modelling Structure and Function

Stephen J. Eglen, Dina M. Kronhaus, 2007, BIOWIRE.

A Bayesian framework for comparing the structure of spontaneous correlated activity recorded under different conditions

Stephen J. Eglen, Catherine S. Cutts, S. Eglen, 2016, bioRxiv.

Image compression using neural networks

Stephen J. Eglen, N. P. Walker, B. A. Lawrence, 1994 .

Bivariate spatial point patterns in the retina: a reproducible review

Stephen J. Eglen, S. Eglen, 2015, bioRxiv.

Requirements for storing electrophysiology data pdf

Kenneth D. Harris, Dimiter Prodanov, Richard C. Gerkin, 2016, ArXiv.

Homeostatic activity-dependent tuning of recurrent networks for robust propagation of activity

Stephen J. Eglen, Julijana Gjorgjieva, Jan Felix Evers, 2015 .

Editorial: Quantitative Analysis of Neuroanatomy

Stephen J. Eglen, Hermann Cuntz, Patrik Krieger, 2015, Front. Neuroanat..

Changing dynamics of spontaneous waves during retinal development: a novel panretinal perspective achieved with the Active Pixel Sensor (APS) 4,096 electrodes array

Alessandro Maccione, Matthias H. Hennig, Stephen J. Eglen, 2010 .

A Multi-Component Model of the Developing Retinocollicular Pathway Incorporating Axonal and Synaptic Growth

Stephen J. Eglen, Nicholas V. Swindale, Keith B. Godfrey, 2009, PLoS Comput. Biol..

A Quick Guide to Teaching R Programming to Computational Biology Students

Stephen J. Eglen, S. Eglen, 2009, PLoS Comput. Biol..

Following The Assembly Of Functional Circuitry: High Resolution Large-Scale Population Neuronal Dynamics In The Neonatal Mouse Retina In Health And Disease

Matthias H. Hennig, Stephen J. Eglen, Evelyne Sernagor, 2012 .

Editorial: Understanding neural organization using statistical analysis and computational modelling: from single cells to large-scale networks

Stephen J. Eglen, Julian M. L. Budd, Patrik Krieger, 2015 .

Retinotopic Development, Models of

Stephen J. Eglen, 2014, Encyclopedia of Computational Neuroscience.

meaRtools: an R Package for the Analysis of Neuronal Networks Recorded on Microelectrode Arrays

David B. Goldstein, Stephen J. Eglen, Quanli Wang, 2018 .

A data repository and analysis framework for spontaneous neural activity recordings in developing retina

Thomas Jackson, Stephen J. Eglen, Evelyne Sernagor, 2013, bioRxiv.

Research software management, sharing and sustainability workshop materials

Kirstie J. Whitaker, Stephen J. Eglen, Rosie Higman, 2017 .

Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus

Stephen J. Eglen, Taro Toyoizumi, Julijana Gjorgjieva, 2009, PLoS Comput. Biol..

Ten Simple Rules for Taking Advantage of git and GitHub

Kai Blin, Yasset Perez-Riverol, Daniel S. Katz, 2016 .

Code Execution in Peer Review

Stephen J. Eglen, Heidi Seibold, Lea Schulz-Vanheyden, 2021 .

Animal Learning and Cognition: A neural network approach

Catherine Collin, Stephen J. Eglen, C. Collin, 1998 .

t Differential Effects of Acetylcholine and Glutamate Blockade on the Spatiotemporal Dynamics of Retinal Waves

Stephen J. Eglen, Michael J. O'Donovan, S. Eglen, 2000, The Journal of Neuroscience.

Retinal Development: Retinal Development

Stephen J. Eglen, Evelyne Sernagor, Bill Harris, 2006 .

Using Wavelets for Classifying Human in vivo Magnetic Resonance Spectra

Stephen J. Eglen, Rosemary Tate, Des Watson, 1995 .

Considerations for developing a standard for storing electrophysiology data in HDF5

Thomas Jackson, Richard C. Gerkin, Jan Grewe, 2013 .

Characterization of Early Cortical Neural Network Development in Multiwell Microelectrode Array Plates

Stephen J. Eglen, William R. Mundy, Ellese Cotterill, 2016, Journal of biomolecular screening.

Scholarly Publishing, Freedom of Information and Academic Self-Determination: The UNAM-Elsevier Case

Stuart Lawson, Ernesto Priego, Stephen J. Eglen, 2017 .

Can Retinal Ganglion Cell Dipoles Seed Iso-Orientation Domains in the Visual Cortex?

Fred Wolf, Stephen J. Eglen, Manuel Schottdorf, 2013, PloS one.

Cellular Spacing: Analysis and Modelling of Retinal Mosaics

Stephen J. Eglen, S. Eglen, 2012 .