Neural Processes:

If the focus of the process is to achieve a certain state, to cycle around a certain point of importance, choosing weights which would result in values close to the target value would be desirable in designing the process algorithm.
Could the effect of these assigned weights be considered "neutral" in the sense that their values do not end up causing too much fluctuations to the either end of the spectrum in the final results?

They are still actively engaged factors even if they are essentially neutral.

A: In the practical continuous analysis of such a system, that definition of neutral essentially depends on the assumed range of the weights. The ranges which cause drastic changes in the behaviour of the system can never be considered "neutral" unless, of course, neutral is defined completely different in another language.

The last sentence remains valid.

Employing neutral decision-making processes will result in better target achievements in most cases if one considers their true origins in cellular structure and behaviour, bio-chemical interactions and the available networks, and how they connect to each other.

... The way the brain can dynamically, but not efficiently at all, grow and change through simple repeating algorithms, to fulfill certain purposes, and to communicate with the outside world.