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