Towards a neural network based therapy for hallucinatory disorders
Neural Networks - Special issue on the global brain: imaging and modelling
Towards a Neural-Networks Based Therapy for Limbs Spasticity
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
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Several types of neural plasticity must be perfectly orchestrated for a proper functioning of biological neural networks. In this work we present a computer simulation of the Alzheimer's Disease, taking into account one of the most accepted models of Alzheimer's Disease: the calcium dysregulation hypothesis. According to Cudmore and Turrigiano calcium dysregulation alters the shifting dynamic of the neuron's activation function (intrinsic plasticity). We propose that this alteration might affect the stability of synaptic weights in which memories are stored. This hypothesis was simulated using a biologically plausible artificial neural network. The results of the simulation supported the theoretical hypothesis. In this way, intrinsic neuronal plasticity impairment due to calcium dysregulation might justify the emergence of Alzheimer's disease's symptoms such as memory loss and learning problems.