Júlio L. R. Monteiro

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Information can be encoded in spiking neural network (SNN) by precise spike-time relations. This hypothesis can explain cell assembly formation, such as polychronous group (PNG), a notion created to explain how groups of neurons fire time-locked to each other, not necessarily synchronously. In this paper we present a set of PNGs capable of retaining(More)
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(More)
Making use of biologically plausible artificial neural networks that implement Grossbergpsilas presynaptic learning rule, we simulate the possible effects of calcium dysregulation in the neuronpsilas activation function, to represent the most accepted model of Alzheimerpsilas Disease: the calcium dysregulation hypothesis. According to Cudmore and Turrigiano(More)
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