Memristive Devices: Analog–Digital Hybrid Memristive Devices for Image Pattern Recognition with Tunable Learning Accuracy and Speed (Small Methods 10/2019)
Source abstract
Abstract
In article number 1900160 by Zhongqiang Wang, Haiyang Xu and co-workers, an Au/WO3−x/Ti memristive device is demonstrated that can exhibit hybrid analog and digital resistive switching behavior by relying on interface and bulk conductance modulation, respectively. Using a spike-timing-dependent plasticity learning scheme, an effective method is developed to tune learning accuracy and speed of pattern recognition by adjusting the proportion of analog to digital devices in the memristor crossbar array.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · CCD and CMOS Imaging Sensors · Transition Metal Oxide Nanomaterials
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Affiliations
Center for Advanced Optoelectronic Functional Materials Research and Key Laboratory for UV Light‐Emitting Materials and Technology (Northeast Normal University) Ministry of Education 5268 Renmin Street Changchun 130024 China
References
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