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Now showing items 21-30 of 185
From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition
(2013)
Poster presented at CNS 2013
A potential role for the cerebellar nuclei in absence seizures
(2013)
Poster presented ar CNS 2013
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 ...
An evaluation of the potential of linear and nonlinear skin permeation models for the prediction of experimentally measured percutaneous drug absorption
(2012-04)
Objectives: The developments in combinatorial chemistry have led to a rapid increase in drug design and discovery and, ultimately, the production of many potential molecules that require evaluation. Hence, there has been ...
The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers
(2012-01-23)
Discriminant analysis (DA) has previously been shown to allow the proposal of simple guidelines for the classification of 73 chemical enhancers of percutaneous absorption. Pugh et al. employed DA to classify such enhancers ...
Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes
(2012)
Poster presented at CNS 2012
Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition
(Springer Nature, 2012)
This paper addresses the problem of how dendritic topology and other properties of a neuron can determine its pattern recognition performance. In this study, dendritic trees were evolved using an evolutionary algorithm, ...
The effect of different types of synaptic plasticity on the performance of associative memory networks with excitatory and inhibitory sub-populations
(Springer Nature, 2012)
In real neuronal networks it is known that neurons are either excitatory or inhibitory. However, it is not known whether all synapses within the subpopulations are plastic. It is interesting to investigate the implications ...
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 ...
The application of stochastic machine learning methods in the prediction of skin penetration
(2011-03)
Improving predictions of skin permeability is a significant problem for which mathematical solutions have been sought for around twenty years. However, the current approaches are limited by the nature of the models chosen ...