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This problem is ill-posed in the sense that tiny changes in the input produce huge changes in the output.
In a feed forward net, repeated presentations of the same input produce the same output every time, but even the simplest organisms habituate to (or learn to ignore) repeated presentation of the same stimulus.
Often it is useful to also examine quantities such as variance, which are derived from higher moments; for example, it might be interesting to examine whether some types of input produce a noisier output than others.
The E value is reported with the color code in the legend when the minimal condition E < 0.1 is satisfied, i.e the two steps of the input produce the same response within 10%.
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In a nonlinear process, a particular input produces an output that is disproportional in size, either big or small.
Their setup did not allow actual computations because of quantum indeterminacy, in which the same input produced random outputs.
In some cases, a relatively small amount of solar wind energy input may cause substorm onset, while in other cases, a larger input produces no effect at all.
Further, stress recognition systems provided with TSHDTP as input produced significantly better stress recognition measures than inputs with TSHDTP replaced by TSLBP-TOP (p < 0.01).
As the saying goes, "junk in, junk out;" that is, superficial, incorrect input produces superficial, incorrect output.
In the other feature map however, the numerous layer 1 neurons receiving background input produced together a strong global inhibitory input to each second layer neuron.
Hence, a fixed depolarizing input produces a higher current density and voltage variation in smaller neurons, as schematized in Figure S2 and previously shown in modelized motoneurons [64].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com