The input, or inputs, are fed into random nodes in the reservoir and the output, or outputs, taken from other randomly chosen nodes.
The response intensity <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0004154.e058.PNG" class= inline-graphic"/> is a measure of the interval from 0 to the smallest input or inputs, the intensity of the positive output with the fewest negations is a measure of the interval between the smallest input or inputs and the next smallest inputs, and so on.
The response <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0004154.e059.PNG" class= inline-graphic"/> is a measure of the interval from the largest input or inputs to 1.
It can also be noted that some of the hospitals that were found to be operating at optimal scale were technically inefficient because of using too much of some input or inputs.
In general terms, reliable inputs (or inputs from reliable SUs) must be appropriately filtered and accepted prior to the execution of the fusion and decision processes.
In the case of sensorimotor learning, we can consider a Bayesian network in which N random variables represent the receptor input R 1, R 2,..., R N (e.g. retinal input, proprioceptive input, or later stages of neural processing) and M variables the motor output U 1, U 2,..., U M (e.g. muscle activations or earlier stages of neural processing) (Fig. 6A).
For all models and the experimental data, we calculate the relative dominance of each combination of input strengths (input currents or contrast levels, respectively).
It may be listed as "video," "input 1," "input 2" or "A/V" depending upon your television and the number of devices you have connected.
We could use either input 0 or input 1 to distinguish them.
Each input pattern contains a fixed number of input elements or input processing elements (PEs).
