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Synaptic plasticity and pattern recognition in cerebellar Purkinje cells
(Springer Nature, 2014)
Many theories of cerebellar learning assume that long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells is the basis for pattern recognition in the cerebellum. Here we describe a series of ...
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
(Springer Nature, 2013)
In this study, two morphological representations in the genotype, a deterministic and a nondeterministic representation, are compared when evolving a neuronal morphology for a pattern recognition task. The deterministic ...
Linear Support Vector Machines for Error Correction in Optical Data Transmission
(Springer Nature, 2013)
Reduction of bit error rates in optical transmission systems is an important task that is difficult to achieve. As speeds increase, the difficulty in reducing bit error rates also increases. Channels have differing ...
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes
(2011-11)
Objectives: Predicting the rate of percutaneous absorption of a drug is an important issue with the increasing use of the skin as a means of moderating and controlling drug delivery. One key feature of this problem domain ...
Effect of using varying negative examples in transcription factor binding site predictions
(2011)
Identifying transcription factor binding sites computationally is a hard problem as it produces many false predictions. Combining the predictions from existing predictors can improve the overall predictions by using ...
STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron
(2011)
Neurons in the cerebellar nuclei (CN) receive inhibitory inputs from Purkinje cells in the cerebellar cortex and provide the major output from the cerebellum, but their computational function is not well understood. It has ...
The application of feature selection to the development of Gaussian process models for percutaneous absorption.
(2010)
Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ...
The application of Gaussian processes in the prediction of percutaneous absorption
(2009-09)
Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ...