Embedding Operant Conditioning Functions in a Four-Terminal Memristor
Source abstract
Abstract
We present an all-in-one operant conditioning (OC) implementation in a single four-terminal memristor, requiring no external circuits or logic. Unlike conventional two-terminal devices, our multi-terminal architecture enables true co-localization of learning functions, supporting both heterosynaptic plasticity and synaptic competition. The operant training process can be scheduled via controlled dopant-ion migration, precisely modulated by a bulk-switching mechanism of our device. This process is visualized via electrochromism, enhancing the interpretability of brain-inspired computation in our device. Our work offers a compact, higher-order functional hardware platform for neuromorphic computing, paving the way toward large-scale neuromorphic systems with embedded learning functionality.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neural Networks and Reservoir Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Graduate School of Engineering Science, The University of Osaka, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
Spintronics Research Network Division, Institute for Open and Transdisciplinary Research Initiatives, The University of Osaka, 1-1 Yamadaoka, Suita, Osaka 565-0871, Japan
Funding
Japan Society for the Promotion of Science · Kyoto Technoscience Center
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