Title:
SYNAPSE-MIMETIC DEVICE CAPABLE OF NEURAL NETWORK TRAINING
Document Type and Number:
WIPO Patent Application WO/2020/242121
Kind Code:
A1
Abstract:
Disclosed is a synapse-mimetic device capable of neural network training. A synapse-mimetic device according to an embodiment of the present invention comprises: a capacitor; a first transistor which connects a first power supply to a first end of the capacitor in response to a first control signal; a second transistor which connects a second power supply to a second end of the capacitor in response to a second control signal; a third transistor which connects the first power supply to the second end of the capacitor in response to a third control signal; a fourth transistor which connects the second power supply to the first end of the capacitor in response to a fourth control signal; and a fifth transistor which provides, to an output line, a current determined by the voltage of the first end of the capacitor, the voltage of the input line, and the voltage of the output line.
Inventors:
OH SAEROONTER (KR)
KIM SANGBUM (KR)
KIM SANGBUM (KR)
Application Number:
PCT/KR2020/006613
Publication Date:
December 03, 2020
Filing Date:
May 21, 2020
Export Citation:
Assignee:
IUCF HYU ERICA CAMPUS (KR)
SEOUL NAT UNIV R&DB FOUNDATION (KR)
SEOUL NAT UNIV R&DB FOUNDATION (KR)
International Classes:
G06N3/063
Foreign References:
| KR20190016312A | 2019-02-18 | |||
| KR20190005101A | 2019-01-15 | |||
| KR20180088258A | 2018-08-03 | |||
| US9269042B2 | 2016-02-23 |
Other References:
ZHONGRUI WANG: "Capacitive neural network with neurotransistors", NATURE COMMUNICATIONS, vol. 9, no. 3208, 10 August 2018 (2018-08-10), XP055769833
Attorney, Agent or Firm:
JUNG, Byunghun (KR)
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