YADCLAN: yet another digitally-controlled linear artificial neuron.
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.
Working Hypothesis, Inc., P.O. Box 820506, Houston, TX 77282-0506, USA. pfrenger@alumni.rice.edu
Paul
P
Frenger
D000669:Amplifiers, Electronic; D003199:Computer Systems; D004867:Equipment Design; D016014:Linear Models; D008954:Models, Biological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology