Design of analog-digital VLSI circuits for telecommunications and signal processing
1994 Special Issue: Winner-take-all networks for physiological models of competitive learning
Neural Networks - Special issue: models of neurodynamics and behavior
Analog integrated circuits for the Lotka-Volterra competitive neural networks
IEEE Transactions on Neural Networks
A subthreshold MOS neuron circuit based on the Volterra system
IEEE Transactions on Neural Networks
Noise-Induced Synchronization among Sub-RF CMOS Analog Oscillators for Skew-Free Clock Distribution
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation (PDM) with noisy neural elements, with the aim of developing a possible ultralow-power one-bit analog-to-digital converter. The static and dynamic noises given to the proposed circuits were obtained from device mismatches of current sources (transistors) and externally applied random spike currents, respectively. Through circuit simulations we confirmed that the circuit exhibited noise-shaping properties, and signal-to-noise ratio (SNR) of the network was improved by 7.9 dB compared with that of the uncoupled network as a result of noise shaping.