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We present a new class of neural network using a variable structure model of neuron (VSMN).
Figure 1 Adaptive PCNN model (a) the AD-PCNN model of neuron (b) eight-neuron linking pattern.
Finally, we demonstrate that receptor responses themselves can be used as descriptors in a predictive model of neuron activation.
Artificial intelligence (AI) was born connectionist when in 1943 Warren S. McCulloch and Walter Pitts introduced the first sequential logic model of neuron.
Paprocki and Szczepanski [13] explored the model of neuron proposed by Levy and Baxter [12] and analyzed the efficiency with respect to the synaptic failure, activation threshold, firing rate and type of the input source.
The paper investigates the temperature-drift compensation of a high resolution piezoresistive pressure sensor using ANN based on conventional neuron model as also the inverse delayed function model of neuron.
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The way of updating the synaptic weights is one of the significant challenges in implementing machine learning methods using spiking model of neurons.
In order to obtain an optimum decision regarding the future pathophysiological state of a patient, the optimal weights of the synapses between the neurons have been determined by using inverse delayed function model of neurons.
Also, in a model of neurons with multiple axons, such as cytochalasin D treatment, HDAC6 was detected in all processes following the same pattern that tau-1 (Figure 2D).
We also present a numerical study describing the behavior of some models of neuron.
To obtain a quantitative evaluation of the response of fibers, a further development of this work will be the coupling of this dosimetric model with biophysical models of neuron and networks, as those used in [ 15, 26, 27].
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