We say that today’s mainstream computer vision technologies enable machines to “see,” much as humans do. We refer to today’s image sensors as the “eyes” of these machines. And we call our most powerful algorithms deep “neural” networks. In reality, conventional image sensors operate very differently from eyes found in nature, and there’s virtually nothing “neural” about deep neural networks.

The question is: Can we gain important advantages by implementing computer vision using principles of biological vision?