Chips & DIPs: A Technology Review for Electronic Neural Networks

Biological systems can perform computational feats far beyond those possible using the best modern computers. Over the past several decades we have expanded our knowledge of architectures used by nature and sought to model or emulating some functions of biological neural networks using electronic components. The massive complexity of even the simplest organism, though, has far exceeded our ability to assemble components. Finally, the situation is beginning to change.