Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 1, June 2020, Pages 22 - 26

Biomimetic Analog Silicon Synaptic Circuit with Tunable Reversal Potential

Authors
Ashish Gautam1, *, Takashi Kohno2
1Graduate School of Engineering, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
2Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
*Corresponding author. Email: asgautam@sat.t.u-tokto.ac.jp
Corresponding Author
Ashish Gautam
Received 1 November 2019, Accepted 20 February 2020, Available Online 15 May 2020.
DOI
10.2991/jrnal.k.200512.005How to use a DOI?
Keywords
Silicon neuronal networks; synaptic reversal potential; low-power
Abstract

Experimental results of a biomimetic silicon synaptic circuit capable of generating both excitatory and inhibitory postsynaptic currents are presented. The generated synaptic current takes into account its first-order dependence on the instantaneous value of the postsynaptic membrane potential, with the synaptic current being proportional to the difference between a tunable synaptic reversal potential and the membrane potential of the postsynaptic neuron. None of the synaptic circuits proposed to date take this dependence into account over the range of biologically plausible synaptic reversal potentials and membrane potential. Special emphasis has been put on minimizing the static power consumption of the synaptic circuit, a design metric not yet analyzed or reported in most of the contemporary CMOS-based synaptic circuits.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 1
Pages
22 - 26
Publication Date
2020/05/15
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.200512.005How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ashish Gautam
AU  - Takashi Kohno
PY  - 2020
DA  - 2020/05/15
TI  - Biomimetic Analog Silicon Synaptic Circuit with Tunable Reversal Potential
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 22
EP  - 26
VL  - 7
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200512.005
DO  - 10.2991/jrnal.k.200512.005
ID  - Gautam2020
ER  -