It might look nicer (and a bit less intimidating at first glance in the getting started section) if we rearrange the equations slightly and remove the asterisk (*) for multiplication. For example, changing from the current version in the docs:
with $S_E$ and $S_I$ sigmoid functions that represent the response of neuronal populations to input stimuli, defined as:
S_k(x) = \frac{1}{1 + exp(-a_kx - \theta_k)}
We could also add descriptions of what the different terms in the eqs mean. However, this would make the intro before the code a bit longer. I would include those descriptions and perhaps some more didactic intro before the equations. But maybe you would prefer to keep this as concise as possible.
It might look nicer (and a bit less intimidating at first glance in the getting started section) if we rearrange the equations slightly and remove the asterisk (*) for multiplication. For example, changing from the current version in the docs:
to
with $S_E$ and $S_I$ sigmoid functions that represent the response of neuronal populations to input stimuli, defined as:
We could also add descriptions of what the different terms in the eqs mean. However, this would make the intro before the code a bit longer. I would include those descriptions and perhaps some more didactic intro before the equations. But maybe you would prefer to keep this as concise as possible.