Can the powerful backpropagation of error  (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry ?
<fluency> Can the powerful backpropagation of error  (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry ?
Can the powerful backpropagation of error (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry .