Resistive network implementing maps of Gabor functions of any phase

Image-acquisition and processing systems based on resistive networks are well known and useful for sensory applications. The author presents a resistive network able to evaluate, at each node, convolutions with Gabor functions of any phase. The network is useful for motion detection, depth perception and texture segregation. Stability with respect to VLSI implementation approximations is discussed