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