def angle_to_cortex(self, theta, rho):
raise NotImplementedError(<EOL>'<STR_LIT>')<EOL>
model.angle_to_cortex(theta, rho) yields a (k x 2) matrix in which each row corresponds to
an area map (e.g. V2 or MT) and the two columns represent x and y coordinates of the
predicted location in a flattened cortical map at which one would find the visual angle
values of theta (polar angle) and rho (eccentricity). Theta should be in units of degrees
between 0 (upper vertical meridian) and 180 (lower vertical meridian).
If theta and rhos are both vectors of length n, then the result is an (n x k x 2) matrix
with one entry for each theta/rho pair.