Neuroscientists have always been sceptical that backpropagation could work in the brain.

神经科学家一直怀疑反向传播是否能在大脑中发挥作用。

Neural networks using the backpropagation algorithm were biologically " unrealistic in almost every respect" he said.

他说，从生物学角度来看，使用反向传播算法的神经网络“几乎在各个方面都是不切实际的”。

Dr Hinton popularised a clever mathematical algorithm known as backpropagation to solve this problem in artificial neural networks.

辛顿博士推广了一种称为反向传播的巧妙的数学算法来解决人工神经网络中的这个问题。

For backpropagation to work in the brain, a perfect mirror image of each network of neurons would therefore have to exist in order to send the error signal backwards.

为了使反向传播在大脑中发挥作用，每个神经元网络必须存在一个完美的镜像，以便将错误信号向后发送。