Current-Mode Subthreshold MOS Circuits for Analog VLSI Neural Systems

IEEE Transactions on Neural Networks

Volumn 2, Issue 2, 1991, Pages 205-213

  Andreou, Andreas G ^a   Boahen, Kwabena A ^a   Pouliquen, Philippe O ^a   Pavasović, Aleksandra ^a   Jenkins, Robert E ^a   Strohbehn, Kim ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA STORAGE, ANALOG; INTEGRATED CIRCUITS, CMOS; MICROPROCESSOR CHIPS; SIGNAL PROCESSING;

ANALOG VLSI NEURAL SYSTEMS; BIDIRECTIONAL ASSOCIATIVE MEMORY; CURRENT-MODE SUBTHRESHOLD MOS CIRCUITS; PYRAMIDAL NEURONS; SILICON RETINA SYSTEM; SUBTHRESHOLD CMOS TECHNOLOGY;

NEURAL NETWORKS;

EID: 0026124101     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.80331     Document Type: Article

References (28)

1. J. D. Cowan and D. H. Sharp, “Neural nets,” Quart. Rev. Biophys., vol. 21, 3, pp. 365-427, 1988.
2. C. A. Mead, “Silicon models of neural computation,” in Proc. IEEE First Int. Conf. Neural Networks, vol. I (San Diego, CA), 1987.
3. C. A. Mead, Analog VLSI and Neural Systems. Addison-Wesley, 1989.
4. C. Koch, “Analog VLSI circuits for computer vision,” Neural vol. 1, no. 2, pp. 184-200, 1989.
5. W. Reichardt and T. Poggio, “Visual control of orientation and behavior in the fly: Part I,” Quart. Rev. Biophys., vol. 9, pp. 311-375, 1976.
6. D. Marr, Vision. New York, NY: W. H. Freeman, 1982.
7. E. Vittoz, “Micropower techniques,” in VLSI Circuits for Telecommunications, Y. P. Tsividis and P. Antognetti, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1985.
8. MOSIS User Manual, USC/Information Science Institute, The MOSIS Service, 4676 Admiralty Way, Marina del Ray, CA 90292-6695.
9. E. Vittoz and J. Fellrath, “CMOS analog integrated circuits based on weak inversion operation,'’ IEEE J. Solid-State Circuits, vol. SC-12, pp. 224-231, June 1977.
10. A. G. Andreou and K. A. Boahen, “Synthetic neural circuits using current domain-signal representations,” Neural Comput., vol. 1, pp. 489-501, 1989.
11. A. Pavasović, “Subthreshold region MOSFET mismatch analysis and modeling for analog VLSI systems,” Ph.D. dissertation, Johns Hopkins University, Baltimore, MD, 1990.
12. A. Pavasović, A. G. Andreou, and C. R. Westgate, “Characterization of CMOS process variations by measuring subthreshold current,” in Non-destructive Characterization of Materials, vol. IV, C. O. Ruud and R. E. Green, Eds. New York: Plenum Press, 1991.
13. C. Toumazou, F. J. Lidgey, and D. G. Haigh, Eds. Analogue IC Design: The Current-Mode Approach (IEEE Circuits and Systems Series), vol. 2. London: Peter Peregrinus, 1990.
14. B. Gilbert, “Translinear circuits: A proposed classification,” Electron. Lett., vol. 11, no. 1, pp. 14-16, 1975.
15. A. G. Andreou and K. Strohbehn, “Analog VLSI implementations of the Hassenstein-Reichardt-Poggio models for vision computation,” in Proc. 1990 IEEE Symp. Systems, Man and Cybernetics (Los Angeles, CA), Nov. 1990.
16. K. A. Boahen and A. G. Andreou, “Design of a bidirectional associative memory chip,” Electrical and Computer Engineering, Tech. Rep. JHU/ECE90-06, Johns Hopkins University, 1990.
17. K. C. Smith and A. S. Sedra, “The current conveyor—A new circuit building block,” Proc. IEEE, vol. 56, pp. 1368-1369, Aug. 1968.
18. K. A. Boahen, A. G. Andreou, P. O. Pouliquen, and A. Pavasović, “Architectures for associative memories using current-mode analog MOS circuits,” in Proc. Decennial Caltech Conf VLSI, 1989.
19. K. A. Boahen, P. O. Pouliquen, A. G. Andreou, and R. E. Jenkins, “A heteroassociative memory using current-mode MOS analog VLSI circuits,” IEEE Trans. Circuits Syst., vol. 36. pp. 747-755, May 1989.
20. A. G. Andreou, “Synthetic neural systems using current-mode circuits,” in Proc. IEEE 1990 Int. Symp. Circuits and Syst. (New Orleans), May 1990.
21. G. M. Shepherd, The Synaptic Organization of the Brain. New York, NY: Oxford University Press, 1979.
22. M. Cohen, Master’s thesis, Biomedical Engineering Department, Johns Hopkins University, Baltimore, MD, 1991.
23. J. Lazzaro, R. Ryckebusch, M. A. Mahowald, and C. A. Mead, “Winner-take-all networks of O(n) complexity,” in Advances in Neural Information Processing Systems, vol. 1, D. S. Touretzky, Ed. Los Altos, CA: Morgan Kaufmann, 1989.
24. J. E. Dowling, The Retina, an Approachable Part of the Brain. Cambridge, MA: Harvard University Press, 1987. ch. 3.
25. A. G. Andreou and K. A. Boahen, “Can you get the Mexican-hat function using two resistive networks?” JHU Electrical and Computer Engineering Tech. Rep., JHU/ECE 88-08, Johns Hopkins University, 1988.
26. B. Hille, Ionic Channels of Excitable Membranes. Sunderland, MA, Sinauer Associates, 1984, pp. 54-57.
27. C. A. Mead, “Neuromorphic electronic systems,” Proc. IEEE, vol. 78, pp. 1629-1636, Oct. 1990.
28. J. L. Wyatt, Jr., and D. L. Standley, “Criteria for robust stability in a class of lateral inhibition networks coupled through resistive grids,” Neural Comput., vol. 1. no. 1, pp. 58-67, Spring 1989.