Electronic device

US10699794B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10699794-B2
Application numberUS-201816199603-A
CountryUS
Kind codeB2
Filing dateNov 26, 2018
Priority dateMay 21, 2015
Publication dateJun 30, 2020
Grant dateJun 30, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An electronic device applicable to an artificial neuron network. The electronic device includes a first circuit, a second circuit, and first to sixth wirings. The first circuit includes a first transistor, a second transistor, and a capacitor. The second circuit includes a third transistor. A gate of the third transistor is electrically connected to the third wiring. The capacitor capacitively couples the third wiring and the gate of the second transistor. The first circuit is capable of storing a weight as an analog value. The first transistor is typically an oxide semiconductor transistor.

First claim

Opening claim text (preview).

What is claimed is: 1. A neural network comprising: an artificial neuron comprising a first transistor and a capacitor; a first line; a second line; and an input circuit configured to supply potential corresponding to an input value of the artificial neuron, wherein a gate of the first transistor is electrically connected to the first line, wherein a first terminal of the first transistor is electrically connected to a first terminal of the capacitor, wherein a second terminal of the capacitor is electrically connected to the input circuit via the second line, and wherein a channel formation region of the first transistor comprises an oxide semiconductor. 2. The neural network according to claim 1 , further comprising: a circuit comprising a second transistor, wherein a channel formation region of the second transistor comprises silicon. 3. The neural network according to claim 1 , wherein the first transistor is provided over a silicon substrate. 4. A neural network comprising: artificial neurons each comprising a transistor and a capacitor; an input circuit configured to supply potential corresponding to input values of the artificial neurons, wherein a first terminal of the transistor is electrically connected to a first terminal of the capacitor, wherein a second terminal of the capacitor is electrically connected to the input circuit via the second line, wherein a channel formation region of the transistor comprises an oxide semiconductor, and wherein the transistors are configured to control weakening of bonds between synapses of the neural network. 5. The neural network according to claim 4 , wherein the transistors are provided over a silicon substrate. 6. The neural network according to claim 4 , wherein in each of the artificial neurons, the transistor is configured to hold a potential of the node. 7. A neural network comprising: artificial neurons each comprising a first transistor and a capacitor; and a first circuit configured to perform calculation using outputs of the artificial neurons, an input circuit configured to supply potential corresponding to input values of the artificial neurons, wherein a first terminal of the first transistor is electrically connected to a first terminal of the capacitor, wherein a second terminal of the capacitor is electrically connected to the input circuit, and wherein a channel formation region of the first transistor comprises an oxide semiconductor. 8. The neural network according to claim 7 , wherein the first transistors are provided over a silicon substrate. 9. The neural network according to claim 7 , further comprising: a second circuit comprising a second transistor, wherein a channel formation region of the second transistor comprises silicon.

Assignees

Inventors

Classifications

  • Analogue means · CPC title

  • characterised by the structure of the channel, e.g. transverse or longitudinal shape or doping profile (TFTs having channel structures for preventing kink or snapback effects H10D30/6708; TFTs having lightly-doped source or drain extensions H10D30/6715) · CPC title

  • having gate electrodes arranged on both top and bottom sides of the channel, e.g. dual-gate TFTs · CPC title

  • integrated with passive devices, e.g. auxiliary capacitors · CPC title

  • comprising semiconductor materials not belonging to the Group IV, e.g. InGaZnO · CPC title

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Frequently asked questions

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What does patent US10699794B2 cover?
An electronic device applicable to an artificial neuron network. The electronic device includes a first circuit, a second circuit, and first to sixth wirings. The first circuit includes a first transistor, a second transistor, and a capacitor. The second circuit includes a third transistor. A gate of the third transistor is electrically connected to the third wiring. The capacitor capacitively …
Who is the assignee on this patent?
Semiconductor Energy Lab
What technology area does this patent fall under?
Primary CPC classification G11C27/024. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jun 30 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).