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Using Neural Networks to Simulate the Alzheimer's Disease

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Fig. 1: The curves in (a) represents synaptic metaplasticity, in which more elongated curves  are obtained for higher initial synaptic weights; in (b), intrinsic plasticity consists in the shift  of the activation function  according to higher or lower levels of neural firing
Fig. 2: In (a), the sigmoid stall disrupts the synaptic weights severely; in (b), the burst  activation behavior is lost after sigmoid stall; (c) shows a particular random network where  the effect of the sigmoid stall is almost irrelevant

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