Circuit for calculating weight adjustments of an artificial neural network, and a module implementing a long short-term artificial neural network
US-12056602-B2 · Aug 6, 2024 · US
US8971091B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8971091-B2 |
| Application number | US-201113884140-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 31, 2011 |
| Priority date | Nov 19, 2010 |
| Publication date | Mar 3, 2015 |
| Grant date | Mar 3, 2015 |
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A method of switching a memristive device in a two-dimensional array senses a leakage current through the two-dimensional array when a voltage of half of a switching voltage is applied to a row line of the memristive device. A leakage compensation current is generated according to the sensed leakage current, and a switching current ramp is also generated. The leakage compensation current and the switching current ramp are combined to form a combined switching current, which is applied to the row line of the memristive device. When a resistance of the memristive device reaches a target value, the combined switching current is removed from the row line.
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What is claimed is: 1. A method of switching a memristive device in a two-dimensional array, comprising: sensing a leakage current through the two-dimensional array when a voltage of half of a switching voltage is applied to a row line of the memristive device; generating a leakage compensation current according to the sensed leakage current; generating a switching current ramp; combining the leakage compensation current and the switching current ramp to form a combined swit…
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