Photoelectric biomemristors for artificial visual perception systems
Source abstract
Abstract
The redundant information generated by traditional image sensors causes a large amount of energy waste, which can no longer meet the needs of the rapid development of current artificial intelligence. Therefore, it is urgent to develop visual bionic systems with perception, memory and processing functions. Photoelectric memristors based on graphene quantum dots (GQDs) and the body fluid of Bombyx mori (BM) were fabricated, which can change its storage state when triggered by optical or electrical signals, and synaptic characteristics such as multilevel data storage, synaptic potentiation and synaptic depression were realized. The Boolean logic "OR" operation, the enhancement/inhibition of the synapse under the light signal and the double pulse dissimilation behavior are realized by UV light-driven resistance variable memory. The results show that photoelectric memristors have attractive biological applications in information perception, storage and computation and provide a potential method for the next generation of artificial visual perception systems.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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