BATTERY-BASED NEURAL NETWORK WEIGHTS

Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance elemen...

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Main Authors Lee, Yun Seog, Sadana, Devendra K, Li, Ning, de Souza, Joel P
Format Patent
LanguageEnglish
Published 13.09.2018
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Abstract Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance element that corresponds to the electrical resistance change for the controllable resistive element. A duration and amplitude of a current pulse is determined that changes the charge carrier ion concentration by the determined difference. A positive or negative current pulse is applied to a controllable resistive element for the determined duration.
AbstractList Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable resistive element. A concentration difference is determined for a charge carrier ion in a resistor layer of the controllable resistance element that corresponds to the electrical resistance change for the controllable resistive element. A duration and amplitude of a current pulse is determined that changes the charge carrier ion concentration by the determined difference. A positive or negative current pulse is applied to a controllable resistive element for the determined duration.
Author Li, Ning
de Souza, Joel P
Sadana, Devendra K
Lee, Yun Seog
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Snippet Methods for controlling the resistance of a controllable resistive element include determining an amount of electrical resistance change for the controllable...
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SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
Title BATTERY-BASED NEURAL NETWORK WEIGHTS
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