Sorry, that was hastily written & could have been clearer. It is, of course, very common to perform (eg) convolution with a larger kernel size, or to use a den

Sorry, that was hastily written & could have been clearer. It is, of course, very common to perform (eg) convolution with a larger kernel size, or to use a dense layer. However, unlike wet-neurons: * Convolution has the same local shape for each cell. * Convolution has no self-suppression for recent activation, vs time-dependent, nonlinear response in wet cells. * Current silicon offers no performance advantage for interconnect to adjacent cells (could be done). With ~80 billion neurons in a brain, 1000 is not like a dense layer at all.