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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, ...
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 ...