Signal processing circuit involving local synchronous behavior

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S015000

Reexamination Certificate

active

07007002

ABSTRACT:
A local synchronization type parallel pulse signal processing circuit has a plurality of neurons connected to each other based on a predetermined rule and disposed in parallel, executing a predetermined arithmetic process with respect to input signals and outputting, a phase synchronization signal generation circuit outputting phase synchronization signals to the predetermined vicinal neurons, and a synchronization detection portion detecting synchronization within an allowable phase difference between the outputs of the predetermined vicinal neurons. The phase synchronization signal generation circuit functions also as a neuron executing the predetermined arithmetic process and outputting in accordance with a result of the synchronization detection by the synchronization detection portion. With this architecture, the synchronization circuit operating stably without any contradiction in a way that brings neither an increase in circuit scale nor an increase in consumption of electric power, is actualized.

REFERENCES:
patent: 4561443 (1985-12-01), Hogrefe et al.
patent: 5208725 (1993-05-01), Akcasu
patent: 5664065 (1997-09-01), Johnson
patent: 6088490 (2000-07-01), Iwata et al.
patent: 6581046 (2003-06-01), Ahissar
patent: 0 413 815 (1987-06-01), None
patent: 60-000712 (1985-01-01), None
patent: 05-037317 (1993-02-01), None
patent: 07-262157 (1995-10-01), None
patent: 07-334478 (1995-12-01), None
patent: 08-2500038 (1996-03-01), None
patent: 08-153148 (1996-06-01), None
patent: 10-2741793 (1998-01-01), None
patent: 10-327054 (1998-12-01), None
patent: 11-2879670 (1999-01-01), None
Gerstner et al., Hebbian Learning of Pulse Timing in the Barn Owl Auditory System, Pulsed Neural Networks, 1999, The MIT Press, pp. 365-366.
J. G. Daugman, “Complete Discrete 2-D Gabor Transforms . . . Compression,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 36, No. 7, 1169-1179 (1988).
LeCun et al., “Convolutional Networks for Images, Speech, and Time Series,” The Handbook of Brain Theory and Neural Networks (M. Arbib, Ed.) 255-258 (1995).
Seibert et al., “Learning and Recognizing . . . Neural System,” Neural Networks for Perception, vol. 1, 426-444 (1992).
Anderson et al., “Routing Networks in Visual Cortex,” The Handbook of Brain Theory and Neural Networks (M. Arbib, Ed.) 823-826 (1995).
Lazzaro et al., “Silicon Auditory Processors as Computer Peripherals,” Advances in Neural Information Processing Systems 5, 820-827 (1993).
Sirovich et al., “Low-Dimensional Procedure for the Characterization of Human Faces,” J. Opt. Soc. Am. A, vol. 4, No. 3, 519-524 (1987).
Murray et al., “Pulse-Stream VLSI . . . Digital Techniques,” IEEE Transactions on Neural Networks, vol. 2, 193-204 (1991).
Lades et al., “Distortion invariant Object . . . Architecture,” IEEE Transactions on Computers, vol. 42, No. 3, 300-311 (1993).
Broussard et al., “Physiologically Motivated Image Fusion . . . Neural Network,” IEEE Transactions on Neural Networks, vol. 10, No. 3, 554-563 (1999).
Fukushima et al., “Neocognitron: A New Algorithm for Pattern . . . Position,” Pattern Recognition, vol. 15, No. 6, 455-469 (1982).
Eckhorn, “Feature Linking via Synchronization . . . Cortex,” Neural Computation, vol. 2, 293-307 (1990).
Schuster et al., “Asynchronous Interlocked Pipelined CMOS Circuits Operation at 3.3-4.5 Ghz,” IEEE ISSC Digest of Technical Papers, vol. 43 (2000).

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