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Browsing University of Hertfordshire by Author "Davey, Neil"
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Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data
Salawu, Emmanuel Oluwatobi; Hesse, Evelyn; Stopford, Chris; Davey, Neil; Sun, Yi (2017-11-01)Better understanding and characterization of cloud particles, whose properties and distributions affect climate and weather, are essential for the understanding of present climate and climate change. Since imaging cloud ... -
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Hocking, Alex; Geach, James E.; Sun, Yi; Davey, Neil (2017-09-15)We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches ... -
The combined effect of homeostatic structural and inhibitory synaptic plasticity during the repair of balanced networks following deafferentation
Sinha, Ankur; Metzner, Christoph; Adams, Roderick; Davey, Neil; Schmuker, Michael; Steuber, Volker (2018-10-29)Although a number of previous experimental and theoretical studies have investigated network reorganisation following deafferentation down to the level of synaptic elements [4], the mechanisms that are involved in this ... -
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance
Bhavsar, Ronakben; Sun, Yi; Helian, Na; Davey, Neil; Mayor, David; Steffert, Tony (2018-02-03)Biomedical signals such as electroencephalogram (EEG) are the time varying signal, and different position of electrodes give different time varying signals. There might be a correlation between these signals. It is likely ... -
Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse
Bampasakis, Dimitris; Maex, Reinoud; Davey, Neil; Steuber, Volker (2014-07-21)Neurons adapt rapidly the slope, also known as gain, of their input-output function to time-varying conditions. Gain modulation is a prominent mechanism in many brain processes, such as auditory processing and attention ... -
Development of a Gaussian Process – Feature Selection Model to Characterise (poly)dimethylsiloxane (Silastic®) Membrane Permeation
Sun, Yi; Hewitt, Mark; Wilkinson, Simon C; Davey, Neil; Adams, Roderick; Gullick, Darren; Moss, Gary (2020-07)Objectives The current study aims to determine the effect of physicochemical descriptor selection on models of polydimethylsiloxane permeation. Methods 2,942 descriptors were calculated for a dataset of 77 chemicals. Data ... -
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis
Bhavsar, Ronakben; Davey, Neil; Helian, Na; Sun, Yi; Steffert, Tony; Mayor, David (2018-12-11)Recently, different algorithms have been suggested to improve Sample Entropy (SE) performance. Although new methods for calculating SE have been proposed, so far improving the efficiency (computational time) of SE calculation ... -
Further thoughts on precision
Gray, D.; Bowes, David; Davey, Neil; Sun, Yi; Christianson, B. (2011)Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ... -
Growth rules for repair of asynchronous irregular network models following peripheral lesions
Sinha, Ankur; Metzner, Christoph; Davey, Neil; Adams, Roderick; Schmuker, Michael; Steuber, Volker (2019-11-14)Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity after disruptive changes to synaptic inputs. One of these homeostatic mechanisms, structural plasticity, can restore activity ... -
Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions
Sinha, Ankur; Metzner, Christoph; Davey, Neil; Adams, Roderick; Schmuker, Michael; Steuber, Volker (2021-06-01)Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral ... -
The importance of hyperparameters selection within small datasets
Ashrafi, Parivash; Sun, Yi; Davey, Neil; Adams, Roderick; Brown, Marc; Prapopoulou, Maria; Moss, Gary (Institute of Electrical and Electronics Engineers (IEEE), 2015-10-01)Gaussian Process is a Machine Learning technique that has been applied to the analysis of percutaneous absorption of chemicals through human skin. The normal, automatic method of setting the hyperparameters associated with ... -
The influence of diffusion cell type and experimental temperature on machine learning models of skin permeability
Ashrafi, Parivash; Sun, Yi; Davey, Neil; Wilkinson, Simon Charles; Moss, Gary (2019-11-14)Objectives The aim of this study was to use Gaussian process regression (GPR) methods to quantify the effect of experimental temperature (Texp) and choice of diffusion cell on model quality and performance. Methods Data ... -
Input-location dependent gain modulation in cerebellar nucleus neurons
Psarrou, Maria; Schilstra, Maria; Davey, Neil; Torben-Nielsen, Ben; Steuber, Volker (2016-08-18) -
An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain
Bhavsar, Ronakben; Davey, Neil; Sun, Yi; Helian, Na (SciTePress, 2018-02-07)Recently, the correlation between biomedical signals, such as electroencephalograms (EEG) and electrocardiograms (ECG) time series signals, has been analysed using the Pearson Correlation method. Although Wavelet Transformations ... -
The Mining and Analysis of Data with Mixed Attribute Types
Wakelam, Ed; Davey, Neil; Sun, Yi; Jefferies, Amanda; Alva, Parimala; Hocking, Alex (IARIA, 2016-05-22)Mining and analysis of large data sets has become a major contributor to the exploitation of Artificial Intelligence in a wide range of real life challenges, including education, business intelligence and research. In the ... -
Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression
Ashrafi, Parivash; Sun, Yi; Davey, Neil; Adams, Roderick; Wilkinson, Simon C; Moss, Gary Patrick (2018-02-14)Objectives The aim of this study was to investigate how to improve predictions from Gaussian Process models by optimising the model hyperparameters. Methods Optimisation methods, including Grid Search, Conjugate Gradient, ... -
Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise
Safaryan, Karen; Maex, Reinoud; Davey, Neil; Adams, Roderick; Steuber, Volker (2017-04-20)Many forms of synaptic plasticity require the local production of volatile or rapidly diffusing substances such as nitric oxide. The nonspecific plasticity these neuromodulators may induce at neighboring non-active synapses ... -
Phase dependence of the termination of absence seizures by cerebellar input to thalamocortical networks
Goncharenko, Iuliia; Kros, Lieke; Maex, Reinoud; Davey, Neil; Metzner, Christoph; De Zeeuw, C.I.; Hoebeek, F.E.; Steuber, Volker (2019-11-14)Absence seizures are the most common form of epilepsy in children. They start and finish abruptly, last for 10–20 seconds and can be detected by generalised spike-and-wave discharges (GSWDs) in the electroencephalogram. ... -
Phase dependence of the termination of absence seizures by cerebellar input to thalamocortical networks
Goncharenko, Iuliia; Kros, Lieke; Maex, Reinoud; Davey, Neil; Metzner, Christoph; De Zeeuw, C.I.; Hoebeek, F.E.; Steuber, Volker (2019-11-14)Absence seizures are the most common form of epilepsy in children. They start and finish abruptly, last for 10–20 seconds and can be detected by generalised spike-and-wave discharges (GSWDs) in the electroencephalogram. ... -
Phase dependence of the termination of absence seizures by cerebellar input to thalamocortical networks
Goncharenko, Iuliia; Kros, Lieke; Maex, Reinoud; Davey, Neil; Metzner, Christoph; De Zeeuw, C.I.; Hoebeek, F.E.; Steuber, Volker (2019-11-14)Absence seizures are the most common form of epilepsy in children. They start and finish abruptly, last for 10–20 seconds and can be detected by generalised spike-and-wave discharges (GSWDs) in the electroencephalogram. ...