The cellular nonlinear network (CNN) analog computer chip is integrated with a camera to produce an image processor. The innovation is the 1 cm-square CNN chip that can increase processing speed while reducing the power requirements over standard digital chips by two to three orders of magnitude.

The retina application of the CNN chip is the work of three scientists funded by the Office of Naval Research (ONR). The scientists, who were developing nonlinear circuit theories, realized that their chip mimicked the functions of the retina.

"This could be the basis for the creation of a real artificial eye that works just like a retina," said Dr. Larry Cooper, ONR program manager for the CNN project. "The CNN chip is small and fast and has programmable capability."

Other potential medical applications in addition to the artificial eye include real-time diagnosis for heart monitoring and ultrasound imaging of the heart for real-time 3-D heart images.

A clinic in Bonn, Germany is already trying out the CNN chip to analyze electroencephalogram (EEG) data, allowing researchers to predict the occurrence of epileptic seizures and, perhaps, even prevent seizures from beginning.

Researchers are already developing a larger array for better images and are using the chips for automatic target recognition for missiles while also allowing missiles to differentiate between targets and decoys.

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