Analog VLSI Neural Networks: A Special Issue of Analog by Yoshiyasu Takefuji (auth.), Yoshiyasu Takefuji (eds.)

By Yoshiyasu Takefuji (auth.), Yoshiyasu Takefuji (eds.)

This e-book brings jointly in a single position vital contributions and cutting-edge examine within the swiftly advancing quarter of analog VLSI neural networks.
The ebook serves as a good reference, offering insights into probably the most vital matters in analog VLSI neural networks learn efforts.

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Extra info for Analog VLSI Neural Networks: A Special Issue of Analog Integrated Circuits and Signal Processing

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Sausen, and 1. Van der Spiegel, "Full integration of extremely large time constants in CMOS," Electron. , Vol. Zl, pp. 790-791, 1991. 3. P. Van Peteghem, "An area-efficient approach to the design of very-large time constants in switched-eapacitor integrators," IEEE J. Solid-State Circuits, Vol. SC-19, pp. 772-780, 1984. 4. A. Grebene, Bipolar and MOS Analog Integrated Circuit Design, Wiley: New York, 1984. 5. P. R. G. Meyer, Analysis and Design ofAnalog Integrated Circuits, Wiley: New York, 1984.

We describe a direct analog implementation of a neural network model of olfactory processing [44-48]. This model has been shown capable of performing hierarchical clustering as a result of a coactivity-based unsupervised learning rule which is modeled after long-term synaptic potentiation. Network function is statistically based and does not require highly precise weights or other components. We present current-mode circuit designs to implement the required functions in CMOS integrated circuitry, and propose the use of floating-gate MOS transistors for modifiable, nonvolatile interconnection weights.

U. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. Amer. Acad. Sci. Vol. 79, pp. 2554-2558, 1982. 6. E. 1. Sejnowski, "Learning and relearning in Boltzmann machines:' in Parallel Distributed Processing, Explorations in the Microstructure ofCognition, Vol. E. L. ), MIT Press: Cambridge, MA, pp. 282-317, 1986. 7. 1. Bailey and D. Hammerstrom, "Why VLSI implmentations of associative VLCNs require connection multiplexing," in Proc. IEEE Int. Con!

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