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Published on: July 22, 2014
YADCLAN: yet another digitally-controlled linear artificial neuron
1Working Hypothesis, Inc., P.O. Box 820506, Houston, TX 77282-0506, USA. pfrenger@alumni.rice.edu
Abstract:
This paper updates the author's 1999 RMBS presentation on digitally controlled linear artificial neuron design. Each neuron is based on a standard operational amplifier having excitatory and inhibitory inputs, variable gain, an amplified linear analog output and an adjustable threshold comparator for digital output. This design employs a 1-wire serial network of digitally controlled potentiometers and resistors whose resistance values are set and read back under microprocessor supervision. This system embodies several unique and useful features, including: enhanced neuronal stability, dynamic reconfigurability and network extensibility. This artificial neuronal is being employed for feature extraction and pattern recognition in an advanced robotic application.
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