Invention Grant
- Patent Title: Neural networks using cross-point array and pattern readout method thereof
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Application No.: US16197651Application Date: 2018-11-21
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Publication No.: US11275999B2Publication Date: 2022-03-15
- Inventor: Byung-Gook Park , Min-Hwi Kim , Sungjun Kim
- Applicant: Seoul National University R&DB FOUNDATION
- Applicant Address: KR Seoul
- Assignee: Seoul National University R&DB FOUNDATION
- Current Assignee: Seoul National University R&DB FOUNDATION
- Current Assignee Address: KR Seoul
- Agent Gerald E. Hespos; Michael J. Porco; Matthew T. Hespos
- Priority: KR10-2017-0156966 20171123
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/08 ; G11C11/54 ; H01L27/24 ; H01L45/00 ; G11C13/00

Abstract:
A neural network using a cross-point array is provided along with a pattern readout method thereof. Resistive memory devices are stacked vertically to form the neural network as synaptic devices. The connection strength of the signal passing between two neurons is controlled by the positive and negative conductance of the resistive memory devices and it is possible to recognize and readout patterns by learning in the cross-point array.
Public/Granted literature
- US20190156208A1 NEURAL NETWORKS USING CROSS-POINT ARRAY AND PATTERN READOUT METHOD THEREOF Public/Granted day:2019-05-23
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