Title :
An analog silicon retina with multichip configuration
Author :
Kameda, Seiji ; Yagi, Tetsuya
Author_Institution :
Dept. of Electron. Eng., Osaka Univ., Japan
Abstract :
The neuromorphic silicon retina is a novel analog very large scale integrated circuit that emulates the structure and the function of the retinal neuronal circuit. We fabricated a neuromorphic silicon retina, in which sample/hold circuits were embedded to generate fluctuation-suppressed outputs in the previous study . The applications of this silicon retina, however, are limited because of a low spatial resolution and computational variability. In this paper, we have fabricated a multichip silicon retina in which the functional network circuits are divided into two chips: the photoreceptor network chip (P chip) and the horizontal cell network chip (H chip). The output images of the P chip are transferred to the H chip with analog voltages through the line-parallel transfer bus. The sample/hold circuits embedded in the P and H chips compensate for the pattern noise generated on the circuits, including the analog communication pathway. Using the multichip silicon retina together with an off-chip differential amplifier, spatial filtering of the image with an odd- and an even-symmetric orientation selective receptive fields was carried out in real time. The analog data transfer method in the present multichip silicon retina is useful to design analog neuromorphic multichip systems that mimic the hierarchical structure of neuronal networks in the visual system.
Keywords :
VLSI; analogue integrated circuits; computer vision; elemental semiconductors; neural chips; analog communication pathway; computational variability; functional network circuit; horizontal cell network chips; line-parallel transfer bus; multichip configuration; multichip silicon retina; neuromorphic silicon retina; neuronal networks; offchip differential amplifier; photoreceptor network chips; retinal neuronal circuit; very large scale integrated circuit; Analog integrated circuits; Circuit noise; Neuromorphics; Noise generators; Photoreceptors; Retina; Silicon; Spatial resolution; Very large scale integration; Voltage; Analog VLSI; multichip; neuromorphic sensor; real time image processing; robot vision; silicon retina; Algorithms; Computers, Analog; Electronics; Eye, Artificial; Microcomputers; Pattern Recognition, Automated; Retina;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2005.860867