Since not all neurons are considered to be synaptically connected, the real synaptic weight is a product w i j s i j [9] where w i j = 1 or 0 according to a binomial process with probability c m (the morphological connectivity) that is supposed to model the existence of a physical synapse.
Under such model, a Poisson process is assumed to describe the number of deaths per day, with events following a binomial process with low probability of occurrence.
Consider a multivariate binomial process with five correlated attributes.
If nucleotide extension is recognized as a competition between successful insertions and time delaying events, it can be described as a binomial process with a probability distribution.
Consider a multivariate binomial process with two correlated attributes, an in-control parameter vector [N', P 0 '] = [(20, 30)', (0.2, 0.15)'] and a correlation between the two attributes of 0.25.
Using Monte Carlo simulation experiments involving multivariate binomial processes with two and five attributes, the performances of the change-point estimators were evaluated by comparing them in the presence of real step-change and real linear-trend disturbances.
Assuming a linear-trend disturbance, in this section, the performances of the two proposed change-point estimators designed for step-change and linear-trend disturbances are evaluated and are compared in multivariate binomial processes with two and five correlated quality characteristics.
In addition, the min-infection process has more children than the binomial branching process with the same infection probability for each child.
In order to introduce stochasticity to the response we modeled the noise in the release of vesicles of neurotransmitter as a binomial process, and the noisy postsynaptic response to the vesicles with a truncated Normal distribution.
We compared these with the expected number of such an occurrence under a binomial process where the errors are randomly distributed amongst loci and the success rate is equal to the mean call rate of the method.
