Finite linear combinations of these functions are dense in Sobolev spaces. The solution of the inhomogeneous equation representing nonspontaneous firing belongs to these spaces. Next we show that according to known facts about neural networks, the forcing function of the inhomogeneous equation is a ...
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. The algorithm that estimates the parameters of the model was proposed considering the equivalence between the probability density function of the 1st crossing time and that of the interspike interval, which is derived from the interspike interval histogram by making use of the spline function ...
The value of the curve (i.e., the y-axis value of the logistic regression function, at any point) represents the probability of the positive class. Now, it’s important to remember that we could use any function to model these training observations. It’s just that these data are clearl...
This information is essential to a large number of processes, such as threshold dynamics, where link weights reflect the amount of influence that neighbours have in determining a node's behaviour. Despite describing numerous cascading phenomena, such as neural firing or social contagion, the ...
One of the major hard-ware problems in implementing a neural network is the activating function of the neurons. The proposed MNN uses a simple function as the neuron's activating function to reduce the circuit size. Moreover, the proposed MNN has an on-chip learning capability. As the ...
In this contribution, we improve of the performance of the Rectified Linear Unit Memristor Like Activation Function with the implication to help training p
where fi(x) is the ith objective function. Then, for the EP obtained after an iteration, we can calculate the Dis of each individual in the EP. The minimum Dis that an EP can reach is represented asMinDis. Therefore, each iteration can obtain a MinDis, with these MinDis values obtaine...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
height function defined over a depth image based on the watershed segmentation method. Similarly, in the study byOkinda et al. (2019), the background was removed by a simple depth threshold and image subtraction. The main segmentation approaches can be grouped into three techniques: background ...