The neuron, when considered as a signal processing device, itsinputs are the frequency of pulses received at the synapses, and its output is the frequency of action potentials generated- in essence, a ...
Abstract: Computational models of neural networks can be based on a variety of different parameters. These parameters include, for example, the 3d shape of neuron layers, the neurons' spatial ...
The study shows the Izhikevich neuron model allows the simulation of both periodic and quasi-periodic responses in neurons at lower computational cost. Studying how brain cells respond to signals from ...
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