DocumentCode :
991224
Title :
A multichip aVLSI system emulating orientation selectivity of primary visual cortical cells
Author :
Shimonomura, Kazuhiro ; Yagi, Tetsuya
Author_Institution :
Dept. of Electron. Eng., Osaka Univ., Japan
Volume :
16
Issue :
4
fYear :
2005
fDate :
7/1/2005 12:00:00 AM
Firstpage :
972
Lastpage :
979
Abstract :
In this paper, we designed and fabricated a multichip neuromorphic analog very large scale integrated (aVLSI) system, which emulates the orientation selective response of the simple cell in the primary visual cortex. The system consists of a silicon retina and an orientation chip. An image, which is filtered by a concentric center-surround (CS) antagonistic receptive field of the silicon retina, is transferred to the orientation chip. The image transfer from the silicon retina to the orientation chip is carried out with analog signals. The orientation chip selectively aggregates multiple pixels of the silicon retina, mimicking the feedforward model proposed by Hubel and Wiesel. The chip provides the orientation-selective (OS) outputs which are tuned to 0°, 60°, and 120°. The feedforward aggregation reduces the fixed pattern noise that is due to the mismatch of the transistors in the orientation chip. The spatial properties of the orientation selective response were examined in terms of the adjustable parameters of the chip, i.e., the number of aggregated pixels and size of the receptive field of the silicon retina. The multichip aVLSI architecture used in the present study can be applied to implement higher order cells such as the complex cell of the primary visual cortex.
Keywords :
VLSI; analogue integrated circuits; eye; feedforward neural nets; image processing; neurophysiology; silicon; concentric center surround antagonistic receptive field; feedforward aggregation; image transfer; multichip neuromorphic analog VLSI system; orientation chip; orientation selective response; primary visual cortical cells; silicon retina; Brain modeling; Circuits; Gabor filters; Image processing; Neuromorphics; Neurons; Retina; Silicon; Very large scale integration; Yagi-Uda antennas; Analog very large scale integrated (aVLSI); image processing; orientation selectivity; silicon retina; simple cell; visual cortex; Action Potentials; Animals; Biomimetics; Electronics; Equipment Design; Equipment Failure Analysis; Humans; Nerve Net; Neural Networks (Computer); Neurons; Orientation; Retina; Semiconductors; Space Perception; Visual Cortex; Visual Fields;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/TNN.2005.849845
Filename :
1461438
Link To Document :
بازگشت