A normalization operation for NeurEco is a combination of a \(shift\) and a \(scale\), so that:

\[x_{normalized} = \frac{x-shift}{scale}\]

Allowed shift methods for NeurEco and their corresponding shifted values are listed in the table below:

NeurEco Discrete Dynamic shifting methods

Name	shift value
none	\[0\]
mean	\[mean(x)\]

Allowed scale methods for NeurEco Tabular and their corresponding scaled values are listed in the table below:

NeurEco Discrete Dynamic scaling methods

Name	scale value
none	\[1\]
l2	\[\frac{\left\Vert x\right\Vert }{\sqrt{size \_ of \_ x}}\]