IEICE TRANSACTIONS on Fundamentals
An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.10 pp.2108-2115
- Publication Date
- 2007/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e90-a.10.2108
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
- Category
- Neuron and Neural Networks
Authors
Keyword
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Akira UTAGAWA, Tetsuya ASAI, Tetsuya HIROSE, Yoshihito AMEMIYA, "An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits" in IEICE TRANSACTIONS on Fundamentals,
vol. E90-A, no. 10, pp. 2108-2115, October 2007, doi: 10.1093/ietfec/e90-a.10.2108.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.10.2108/_p
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@ARTICLE{e90-a_10_2108,
author={Akira UTAGAWA, Tetsuya ASAI, Tetsuya HIROSE, Yoshihito AMEMIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits},
year={2007},
volume={E90-A},
number={10},
pages={2108-2115},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e90-a.10.2108},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2108
EP - 2115
AU - Akira UTAGAWA
AU - Tetsuya ASAI
AU - Tetsuya HIROSE
AU - Yoshihito AMEMIYA
PY - 2007
DO - 10.1093/ietfec/e90-a.10.2108
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2007
AB - 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.
ER -
English
