Abstract
This paper briefly describes the design principles for an implementation of an artificial neuron in the form of a in silicon integrated circuit based on junction charge-coupled device technology. The significant features of the design are: (1) the possibility to have fixed as well as variable weights, with analog values; (2) analog output values; (3) suitable to support pulse-coded neural network algorithms; and (4) realized in a standard bipolar technology. As a simple example a McCulloch-Pitts neuron is fabricated and tested at a clock frequency of 40 MHz.
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References
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Hoekstra, J., Some Models and Implementations of Digital Logic Functions Using Junction Charge-Coupled Devices, PhD-thesis, Delft University of Technology, 1988.
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© 1990 Springer Science+Business Media Dordrecht
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Hoekstra, J. (1990). An Integrated Artificial Neuron Based on Junction-CCD Technology. In: International Neural Network Conference. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0643-3_3
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DOI: https://doi.org/10.1007/978-94-009-0643-3_3
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-0831-7
Online ISBN: 978-94-009-0643-3
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