Items where Author is "Davey, Neil"
Number of items: 26.
Article
Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions. (2021)
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Michael Schmuker
and
Volker Steuber
Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation. (2020)
Yi Sun,
Mark Hewitt,
Simon C Wilkinson,
Neil Davey,
Roderick Adams,
Darren Gullick
and
Gary Moss
Growth rules for repair of asynchronous irregular network models following peripheral lesions. (2019)
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Michael Schmuker
and
Volker Steuber
Phase dependence of the termination of absence seizures by cerebellar input to thalamocortical networks. (2019)
Iuliia Goncharenko,
Lieke Kros,
Reinoud Maex,
Neil Davey,
Christoph Metzner,
C.I. De Zeeuw,
F.E. Hoebeek
and
Volker Steuber
The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability. (2019)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Simon Charles Wilkinson
and
Gary Moss
The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes. (2019)
Ed Wakelam,
Amanda Jefferies,
Neil Davey
and
Yi Sun
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
The combined effect of homeostatic structural and inhibitory synaptic plasticity during the repair of balanced networks following deafferentation. (2018)
Ankur Sinha,
Christoph Metzner,
Roderick Adams,
Neil Davey,
Michael Schmuker
and
Volker Steuber
Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression. (2018)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Simon C Wilkinson
and
Gary Patrick Moss
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. (2018)
Ronakben Bhavsar,
Yi Sun,
Na Helian,
Neil Davey,
David Mayor
and
Tony Steffert
Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data. (2017)
Emmanuel Oluwatobi Salawu,
Evelyn Hesse,
Chris Stopford,
Neil Davey
and
Yi Sun
An automatic taxonomy of galaxy morphology using unsupervised machine learning. (2017)
Alex Hocking,
James E. Geach,
Yi Sun
and
Neil Davey
Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise. (2017)
Karen Safaryan,
Reinoud Maex,
Neil Davey,
Roderick Adams
and
Volker Steuber
Input-location dependent gain modulation in cerebellar nucleus neurons. (2016)
Maria Psarrou,
Maria Schilstra,
Neil Davey,
Ben Torben-Nielsen
and
Volker Steuber
The role of cerebellar short-term synaptic plasticity in the pathology and medication of downbeat nystagmus. (2016)
Julia Goncharenko,
Neil Davey,
Maria Schilstra
and
Volker Steuber
Support vector regression to estimate the permeability enhancement of potential transdermal enhancers. (2016)
Alpa Shah,
Yi Sun,
Roderick Adams,
Neil Davey,
Simon Charles Wilkinson
and
Gary Patrick Joseph Moss
Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse. (2014)
Dimitris Bampasakis,
Reinoud Maex,
Neil Davey
and
Volker Steuber
Book
Proceedings of Abstracts Engineering and Computer Science Research Conference 2019. (2019)
Richard Nwawe,
Marzio Grasso,
Yong Kang CHEN,
Jan Klusak,
Vincenzo Rosiello,
Nathan Counsell,
Mohammad Reza Herfatmanesh,
Helen Partou,
Catherine Menon,
Trevor Barker,
Vito Veneziano,
Raimund Kirner,
Olga Tveretina,
Alok Verma,
Peter Lane,
Mariana Lilley,
Paul Canoville,
Matthew Robinson,
Brian Crook,
Samantha Hall,
Richard Kaye,
Ian Johnston,
Daniel McCluskey,
Mark Tracey,
Ian Munro,
Yuan Wang,
Bjorn Suckow,
Ingo Klaholz,
Damien Drix,
Verena Vanessa Hafner,
Michael Schmuker,
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Volker Steuber,
Rebecca Miko,
Gilles Toffe,
Guogang Ren,
Diogo Montalvão,
Sikiru O. Ismail,
James Newman,
Hom Dhakal,
Funlade Sunmola,
Deepak Panday,
Na Helian,
Daerefa-a Amafabia,
Opukuro David-West,
George Haritos,
Pascal Schirmer,
Iosif Mporas,
Grigorios Skaltsas,
Rana Siadati,
Paul Wernick,
Samuel Sutton,
Himayasri Rao Lekkala,
Paul Sayers,
Imran Khan,
Lola Cañamero,
Eheda Hassan,
Mouloud Denai,
Georgios Pissanidis,
Julia Goncharenko,
Maria Schilstra,
Nathan Beka,
Rene te Boekhorst,
Agnes Bonivart,
Chrystopher Nehaniv,
Shabnam Kadir,
Ronakben Bhavsar,
Yi Sun,
David Mayor,
Tony Steffert,
Yong Kang CHEN,
Andreas Chrysanthou,
Ian Johnston,
Raimund Kirner,
Pandelis Kourtessis,
Daniel McCluskey,
Daniel Polani,
Volker Steuber
and
Yichuang Sun
Other
The importance of hyperparameters selection within small datasets. (2015)
Parivash Ashrafi,
Yi Sun,
Neil Davey,
Roderick Adams,
Marc Brown,
Maria Prapopoulou
and
Gary Moss
Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. (2016)
Priori,
Giseli de Sousa,
Mauro Roisenberg,
Chris Stopford,
Evelyn Hesse,
Neil Davey
and
Yi Sun