An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits

We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is to develop a possible ultralow-power delta-sigma-type one-bit analog-to-digital converter. Through circuit simulations we confirmed that the signal-to-noise ratio of the network was improved by 7.9 dB compared with that of the uncoupled one as a result of noise shaping.

• Type: Journal
• Year: 2007
• Where: IEICET
• Authors: Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya
• Keywords: IEICET 2007, Inhibitory Network Model, Noisy Neural Elements, One-bit Analog-to-digital Converter