Modeling small oscillating biological networks in analog VLSI
Advances in neural information processing systems 1
Neural control of rhythmic arm movements
Neural Networks - Special issue on neural control and robotics: biology and technology
Analog VLSI model of intersegmental coordination with nearest-neighbor coupling
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Emergence of adaptability to time delay in bipedal locomotion
Biological Cybernetics
An analogue VLSI implementation of the Meddis inner hair cell model
EURASIP Journal on Applied Signal Processing
Reinforcement learning for a CPG-driven biped robot
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Current-mode subthreshold MOS circuits for analog VLSI neural systems
IEEE Transactions on Neural Networks
An analog CMOS central pattern generator for interlimb coordination in quadruped locomotion
IEEE Transactions on Neural Networks
Neuromorphic walking gait control
IEEE Transactions on Neural Networks
A current mode CMOS noise generator using multiple Bernoulli maps
Microelectronic Engineering
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We propose an analog current-mode subthreshold CMOS circuit implementing a piecewise linear neuromorphic oscillator. Our circuit was derived from a piecewise linear oscillator model proposed by Matsuoka, well known as a building block for constructing a robot locomotion controller. We modified Matsuoka's oscillator to be suitable for analog current-mode integrated circuit implementation, and designed and fabricated it as an analog current-mode circuit. Through circuit simulations and experimental results on a fabricated chip, we demonstrate that our neuromorphic oscillator generates a stable oscillation, and the amplitude and frequency of the oscillation can be controlled by tuning bias currents over a wide range. Further, we propose a compensation for device mismatch in the neuromorphic oscillator through feedback from a coupled physical system.