The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations

The authors construct, in an easy and straightforward way, a nonbiological neural network which solves any system of simultaneous equations. This network is inspired by the Hopfield network; however, its performance is far better than the Hopfield network. The authors show the potential of abandoning the restriction of biological resemblance in the computational approach and the essential difference between the biological and the computational approaches. It is concluded that the biological and the computational approaches have their own rightful places in the field of neural networks. While the biological approach may result in deeper understanding of the human brain, the computational approach may produce machines which are more powerful than the human brain, and each approach can benefit from the progress of the other