Multiplexed Complementary Signal Transmission for a Self-Regulating Artificial Nervous System
발표자
()
초록
내용
Neuromorphic engineering has emerged that can enable efficient signal transmission by mimicking the biological nervous system. This paper presents an artificial nervous system capable of self-regulation via multiplexed complementary signals. Based on the tunable nature of the Schottky barrier, a pair of complementary signals was integrated to realize efficient signal transmission. A feedback-based blood glucose level control system was constructed by incorporating a glucose/insulin sensor, a complementary signal integration circuit, an artificial synapse, and an artificial neuron circuit. Certain amounts of glucose and insulin in the initial state were detected by each sensor and reflected as positive and negative amplitudes of the multiplexed presynaptic pulses. Subsequently, the pulses were converted to postsynaptic current, which triggered the injection of glucose or insulin.