This equation is simply the sum of each x = i choose k for k in [ 1, i ].
So what he’s saying is that the neural circuits that follow the principles he describes have one neuron to represent every possible combination of on/off states in the set of inputs. It’s the most brain-dead way you could possibly implement a classifier system.
This equation is simply the sum of each x = i choose k for k in [ 1, i ].
So what he’s saying is that the neural circuits that follow the principles he describes have one neuron to represent every possible combination of on/off states in the set of inputs. It’s the most brain-dead way you could possibly implement a classifier system.