25 citations · 58 across the 7 of their papers we have counts for
9 papers
Bayesian model selection for multilevel models using integrated likelihoods
Tom Edinburgh, Ari Ercole, Stephen J. Eglen
Multilevel linear models allow flexible statistical modelling of complex data with different levels of stratification. Identifying the most appropriate model from the large set of…
Analysis of Activity Dependent Development of Topographic Maps in Neural Field Theory with Short Time Scale Dependent Plasticity
Nicholas Gale, Jennifer Rodger, Michael Small +1
Topographic maps are a brain structure connecting pre-synpatic and post-synaptic brain regions. Topographic development is dependent on Hebbian-based plasticity mechanisms working…
Causality indices for bivariate time series data: a comparative review of performance
Tom Edinburgh, Stephen J. Eglen, Ari Ercole
Inferring nonlinear and asymmetric causal relationships between multivariate longitudinal data is a challenging task with wide-ranging application areas including clinical medicine…
From Random to Regular: Variation in the Patterning of Retinal Mosaics
Patrick W. Keeley, Stephen J. Eglen, Benjamin E. Reese
The various types of retinal neurons are each positioned at their respective depths within the retina where they are believed to be assembled as orderly mosaics, in which like-type…
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning
Tom Edinburgh, Peter Smielewski, Marek Czosnyka +2
Waveform physiological data is important in the treatment of critically ill patients in the intensive care unit. Such recordings are susceptible to artefacts, which must be removed…
Burst detection methods
E. Cotterill, S. J. Eglen
`Bursting', defined as periods of high frequency firing of a neuron separated by periods of quiescence, has been observed in various neuronal systems, both \textit{in vitro} and \t…
Requirements for storing electrophysiology data
Jeff Teeters, Jan Benda, Andrew Davison +17
The purpose of this document is to specify the basic data types required for storing electrophysiology and optical imaging data to facilitate computer-based neuroscience studies an…
Can retinal ganglion cell dipoles seed iso-orientation domains in the visual cortex?
Manuel Schottdorf, Stephen J. Eglen, Fred Wolf +1
It has been argued that the emergence of roughly periodic orientation preference maps (OPMs) in the primary visual cortex (V1) of carnivores and primates can be explained by a so-c…
Spatial constraints underlying the retinal mosaics of two types of horizontal cells in cat and macaque
Stephen J. Eglen, James C. T. Wong
Most types of retinal neurons are spatially positioned in non-random patterns, termed retinal mosaics. Several developmental mechanisms are thought to be important in the formation…