Neuromorphic VLSI vision system for real-time texture segregation

Neural Networks

Volumn 21, Issue 8, 2008, Pages 1197-1204

  Shimonomura, Kazuhiro ^a   Yagi, Tetsuya ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Analog VLSI; Neural image; Non classical receptive field; Primary visual cortex; Texture segregation

Indexed keywords

ANALOG VLSI; NEURAL IMAGE; NON-CLASSICAL RECEPTIVE FIELD; PRIMARY VISUAL CORTEX; TEXTURE SEGREGATION;

AGGLOMERATION; CELLS; CYTOLOGY; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); IMAGE ENHANCEMENT; MILITARY OPERATIONS; NETWORKS (CIRCUITS); SEGREGATION (METALLOGRAPHY); SEMICONDUCTING SILICON COMPOUNDS; SEMICONDUCTOR DEVICE MANUFACTURE; SEMICONDUCTOR DEVICE MODELS; SEMICONDUCTOR DEVICES; SILICON; VISUAL COMMUNICATION;

TEXTURES;

SILICON;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER; COMPUTER MODEL; COMPUTER PROGRAM; NEUROPHYSIOLOGY; PERCEPTION; PRIORITY JOURNAL; PSYCHOPHYSICS; RETINA; VISION; VISUAL CORTEX; VISUAL SYSTEM;

COMPUTERS; EYE, ARTIFICIAL; HUMANS; MICROCOMPUTERS; MODELS, NEUROLOGICAL; NEURONS; ORIENTATION; PATTERN RECOGNITION, AUTOMATED; RETINA; SEMICONDUCTORS; SPACE PERCEPTION; VISUAL CORTEX; VISUAL FIELDS; VISUAL PATHWAYS;

EID: 53249130660     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.07.003     Document Type: Article

References (27)

1. Boahen K. Point-to-point connectivity between neuromorphic chips using address events. IEEE Transactions on Circuits and Systems II 47 (2000) 416-434
2. Blakemore C., and Tobin E.A. Lateral inhibition between orientation detectors in the cat's visual cortex. Experimental Brain Research 15 (1972) 439-440
3. Chicca E., Whatley A.M., Lichtsteiner P., Dante V., Delbruck T., Giudice P.D., Douglas R.J., and Indiveri G. A multichip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity. IEEE Transactions on Circuits and Systems I 54 (2007) 981-993
4. Choi T.Y.W., Merolla P., Arthur J., Boahen K., and Shi B.E. Neuromorphic implementation of orientation hypercolumns. IEEE Transactions on Circuits and Systems I 52 (2005) 1049-1060
5. Dowling J.E. The retina: An approachable part of the brain (1987), Belknap Press of Harvard University Press, Cambridge, MA
6. Hubel D., and Wiesel T. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. Journal of Physiology (London) 160 (1962) 106-154
7. Jones J.P., and Palmer L.A. The two-dimensional spatial structure of simple receptive fields in the cat striate cortex. Journal of Neurophysiology 58 (1987) 1187-1211
8. Kameda S., and Yagi T. An analog VLSI chip emulating sustained and transient response channels of the vertebrate retina. IEEE Transactions on Neural Networks 14 (2003) 1405-1412
9. Kameda S., and Yagi T. An analog silicon retina with multichip configuration. IEEE Transactions on Neural Networks 17 (2006) 197-210
10. Kobayashi H., Matsumoto T., Yagi T., and Shimmi T. Image processing regularization filters on layered architecture. Neural Networks 6 (1993) 327-350
11. Landy M.S., and Bergen J.R. Texture segregation and orientation gradient. Vision Research 31 (1991) 679-691
12. Liu S.-C., Kramer J., Indiveri G., Delbruck T., Burg T., and Douglas R. Orientation-selective a VLSI spiking neurons. Neural Networks 14 (2001) 629-643
13. Mead C. Neuromorphic electronic system. Proceedings of IEEE 78 (1990) 1629-1636
14. Merolla P.A., Arthur J.V., Shi B.E., and Boahen K.A. Expandable networks for neuromorphic chips. IEEE Transactions on Circuits and Systems I 54 (2007) 301-311
15. Nicholls J.G., Martin A.R., Wallace B.G., and Fuchs P.A. From neuron to brain. 4th ed. (2001), Sinauer Associates, Inc, Sunderland, MA
16. Ohzawa I., DeAngelis G., and Freeman R. Stereoscopic depth discrimination in the visual cortex: Neurons ideally suited as disparity detectors. Science 249 (1990) 1037-1041
17. Riesenhuber M., and Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience 2 (1999) 1019-1025
18. Serrano-Gotarredona R., Oster M., Lichtsteiner P., Linares-Barranco A., Paz-Vicente R., Gomez-Rodriguez F., et al. AER building blocks for multi-layer multi-chip neuromorphic vision systems. In: Becker S., Thrun S., and Obermayer K. (Eds). Advances in neural information processing systems Vol. 15 (2005), MIT Press, Cambridge, MA
19. Shi, B. E., Tsang, E. K. C., Lam, S. Y. M., & Meng, Y. (2006). Expandable hardware for computing cortical feature maps. In Proc. IEEE int'l symp. on circuits and systems (pp. 3606-3609)
20. Shimonomura K., and Yagi T. A multi-chip aVLSI system emulating orientation selectivity of primary visual cortical cell. IEEE Transactions on Neural Networks 16 (2005) 972-979
21. Shimonomura, K., & Yagi, T. (2005b). A 100×100 pixels orientation-selective multi-chip vision system. In Proc IEEE int'l symp on circuits and systems (pp. 1915-1918)
22. Shimonomura, K., & Yagi, T. (2006). A multi-chip analog VLSI vision sensor with selectivity to orientation and spatial frequency. In Proc IEEE conference on sensors (pp. 303-306)
23. Takami, R., Shimonomura, K., Kameda, S., & Yagi, T. (2005). A novel pre-processing vision system employing neuromorphic 100×100 pixel silicon retina. In Proc IEEE intl. symp on circuits and systems (pp. 2771-2774)
24. Tohyama K., and Fukushima K. Neural network model for extracting optic flow. Neural Networks 18 (2005) 549-556
25. Vogelstein R.J., Mallik U., Vogelstein J.T., and Cauwenberghs G. Dynamically reconfigurable silicon array of spiking neurons with conductance-based synapses. IEEE Transactions on Neural Networks 18 (2007) 253-265
26. Walker G.A., Ohzawa I., and Freeman R.D. Asymmetric suppression outside the classical receptive field of the visual cortex. Journal of Neuroscience 19 (1999) 10536-10553
27. Yagi T., Ohshima S., and Funahashi Y. The role of retinal bipolar cell in early vision: an implication with analogue networks and regularization theory. Biological Cybernetics 77 (1997) 163-171