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Estimation of microphysical parameters of atmospheric pollution using machine learning
(Springer Nature, 2018-09-27)
The estimation of microphysical parameters of pollution (effective radius and complex refractive index) from optical aerosol parameters entails a complex problem. In previous work based on machine learning techniques, ...
The Potential for Using Artificial Intelligence Techniques to Improve e-Learning Systems
(2015-10)
There has been significant progress in the development of techniques to deliver more effective e-Learning systems in both education and commerce but our research has identified very few examples of comprehensive learning ...
Cerebellar output controls generalized spike-and-wave discharge occurence
(2015-06-01)
Disrupting thalamocortical activity patterns has proven to be a promising approach to stop generalized spike-and-wave discharges (GSWDs) characteristic of absence seizures. Here, we investigated to what extent modulation ...
Dendritic Morphology Predicts Pattern Recognition Performance in Multi-compartmental Model Neurons with and without Active Conductances
(2015-04-01)
In this paper we examine how a neuron’s dendritic morphology can affect its pattern recognition performance. We use two different algorithms to systematically explore the space of dendritic morphologies: an algorithm that ...
The application of machine learning to the modelling of percutaneous absorption: An overview and guide
(2015-03-18)
Machine learning (ML) methods have been applied to the analysis of a range of biological systems. This paper reviews the application of these methods to the problem domain of skin permeability and addresses critically some ...
Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei
(2014-07-21)
Epileptic absence seizures are characterized by synchronized oscillatory activity in the cerebral cortex that can be recorded as so-called spike-and-wave discharges (SWDs) by electroencephalogram. Although the cerebral ...