Sandhya Samarasinghe

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Synaptic plasticity, an emergent property of synaptic networks, has shown strong correlation to one of the essential functions of the brain, memory formation. Through understanding synaptic plasticity, we hope to discover the modulators and mechanisms that trigger memory formation. In this paper, we first review the well understood modulators and mechanisms(More)
Microarrays technology has been expanding remarkably since its launch about 15 years ago. With its advancement along with the increase of popularity, the technology affords the luxury that gene expressions can be measured in any of its multiple platforms. However, the generated results from the microarray platforms remain incomparable. In this direction, we(More)
An application of model-based reasoning and model-based learning to an operative diagnostic domain such as electrical power transmission networks is presented. Most of the research in model-based diagnosis is based on maintenance diagnosis. Operative diagnosis, on the other hand, is done while the system is still in operation even after the fault. We plan(More)
Lowering the threshold of cellular senescence, the process employed by cells to thwart abnormal cell proliferation, though inhibition of CDK2 or Skp2 (regulator of CDK inhibitors) has been recently suggested as a potential avenue for cancer treatment. In this study, we employ a published mathematical model of G1/S transition involving the DNA-damage signal(More)
Understanding the control of cellular networks consisting of gene and protein interactions and their emergent properties is a central activity of Systems Biology research. For this, continuous, discrete, hybrid, and stochastic methods have been proposed. Currently, the most common approach to modelling accurate temporal dynamics of networks is ordinary(More)
Glucocorticoids (GCs) have been used as therapeutic agents for children with acute lymphoblastic leukaemia (ALL) for over 50 years. However, much remains to be understood about the molecular mechanism of GCs actions in ALL subtypes. In this study, we delineate differential responses of ALL subtypes, B- and T-ALL, to GCs treatment at systems level by(More)
To assess the importance of model parameters in kinetic models, sensitivity analysis is generally employed to provide key measures. However, it is quite often that no information is available for a significant number of parameters in biochemical models. Therefore, the results of sensitivity analysis that heavily rely on the accuracy of parameters are(More)
This paper presents an application of Artificial Intelligence techniques for fault diagnosis in power transmission networks. The prime objective of power transmission network is to supply power to the customers and to meet the load demands. When a fault occurs in a transmission network, it must be identified and eliminated as soon as possible. Since control(More)