Abstract
We proposed in this research a novel two-dimensional network based on the frog visual system, with a motion detection function and a newly developed simple-shape recognition function, for use in object discrimination by integrated circuits. Specifically, the network mimics the signal processing of the small-field cell in a frog brain, consisting of the tectum and thalamus, which generates signals of the motion and simple shape of an object. The proposed network is constructed from simple analog complementary metal oxide semiconductor (CMOS) circuits; a test chip of the proposed network was fabricated with a 1.2 μm CMOS process. Measurements on the chip clarified that the proposed network can generate signals of the moving direction, velocity, and simple shape, as well as perform information processing of the small-field cell. Results with the simulation program with integrated circuit emphasis (SPICE) showed that the analog circuits used in the network have low power consumption. Applications of the proposed network are expected to realize advanced vision chips with functions such as object discrimination and target tracking.
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References
C. A. Mead (1989) Analog VLSI and Neural Systems Addison Wesley Reading MA Occurrence Handle0715.68002
A. Moini (1999) Vision Chips Kluwer Academic Norwell MA
T. Asai M. Ohtani H. Yonezu (1999) Jpn. J. Appl. Phys. 38 2256 Occurrence Handle10.1143/JJAP.38.2256 Occurrence Handle1999JaJAP..38.2256A
M. Ohtani H. Yonezu T. Asai (2000) Jpn. J. Appl. Phys. 39 1160 Occurrence Handle10.1143/JJAP.39.1160 Occurrence Handle2000JaJAP..39.1160O
S. C. Liu (2000) IEEE Trans. Circuits Systems II 47 1458 Occurrence Handle10.1109/82.899640
S. C. Liu A. U. Viretta (2001) Biol. Cybernetics 85 449 Occurrence Handle10.1007/s004220100267
H. Yamada T. Miyashita M. Ohtani K. Nishio H. Yonezu Y. Furukawa (2002) Opt. Rev. 9 1 Occurrence Handle10.1007/s10043-002-0001-8
H. Yamada T. Miyashita M. Ohtani K. Nishio H. Yonezu Y. Furukawa (2001) Opt. Rev. 8 336 Occurrence Handle10.1007/s10043-001-0336-6
T. K. Horiuchi C. Koch (1999) Neural Comput. 11 243 Occurrence Handle10.1162/089976699300016908
G. Indiveri (1999) IEEE Trans. Circuits Systems II 46 1337 Occurrence Handle10.1109/82.803473
A. P. Ewert (1974) Sci. Am. 240 34 Occurrence Handle10.1038/scientificamerican0374-34
D. Ingle (1973) Science 180 422 Occurrence Handle10.1126/science.180.4084.422 Occurrence Handle1973Sci...180..422I
D. Ingle (1973) Science 181 1053 Occurrence Handle10.1126/science.181.4104.1053 Occurrence Handle1973Sci...181.1053I
R. L. Didday (1976) Math. Biosci. 30 169 Occurrence Handle10.1016/0025-5564(76)90024-9
K. Nishio H. Yonezu M. Ohtani H. Yamada Y. Furukawa (2003) Opt. Rev. 10 96 Occurrence Handle10.1007/s10043-003-0096-6
K. Nishio H. Yonezu Y. Furukawa (2006) IEICE Trans. Fund. Electron. Commun. Comput. Sci. E89-A 416
N. Hatsopoulos F. Gabbiani G. Laurent (1995) Science 270 1000 Occurrence Handle10.1126/science.270.5238.1000 Occurrence Handle1995Sci...270.1000H
F. Gabbiani C. Mo G. Laurent (2001) J. Neurosci. 21 314
K. Nishio H. Yonezu M. Ohtani H. Yamada Y. Furukawa (2004) Opt. Rev. 11 38 Occurrence Handle10.1007/s10043-004-0038-y
K. Nishio H. Yonezu A. B. Kariyawasam Y. Yoshikawa S. Sawa Y. Furukawa (2004) Opt. Rev. 11 24 Occurrence Handle10.1007/s10043-004-0024-4
A. G. Andreou K. A. Boahen P. O. Pouliquen A. Pavasovic R. E. Jenkins K. Strohbehn (1991) IEEE Trans. Neural Netw. 2 205 Occurrence Handle10.1109/72.80331 Occurrence Handle1991ITNN....2..205A
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Nishio, K., Yonezu, H. & Furukawa, Y. Analog Integrated Circuit for Motion Detection with Simple-Shape Recognition Based on Frog Vision System. OPT REV 14, 271–281 (2007). https://doi.org/10.1007/s10043-007-0271-2
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DOI: https://doi.org/10.1007/s10043-007-0271-2