Volume 5, Issue 1, June 2018, Pages 71 - 74
Finding appropriate parameter voltages for driving a low-power analog silicon neuron circuit
Authors
Atsuya Tangetange@sat.t.u-tokyo.ac.jp
Department of Electrical Engineering and Information Systems, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
Takashi Kohnokohno@sat.t.u-tokyo.ac.jp
Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
Available Online 30 June 2018.
- DOI
- 10.2991/jrnal.2018.5.1.16How to use a DOI?
- Keywords
- neuromorphic hardware; neuromorphic chip; silicon neurons; analog VLSI
- Abstract
This research focuses on a silicon neuron circuit designed utilizing a qualitative neuronal modeling approach. In this circuit, temperature, fabrication mismatch, and secondary effects of transistors cause the difference between the intended characteristics and those in the implemented circuits. Therefore, we have to tune the bias voltages for each neuron instance to realize the desired dynamical behavior after circuit implementation. We constructed an algorithm to automatically find appropriate values for the bias voltages.
- Copyright
- Copyright © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Atsuya Tange AU - Takashi Kohno PY - 2018 DA - 2018/06/30 TI - Finding appropriate parameter voltages for driving a low-power analog silicon neuron circuit JO - Journal of Robotics, Networking and Artificial Life SP - 71 EP - 74 VL - 5 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.1.16 DO - 10.2991/jrnal.2018.5.1.16 ID - Tange2018 ER -