2023
DOI: 10.1002/inf2.12478
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Pulse electrochemical synaptic transistor for supersensitive and ultrafast biosensors

Jianlong Ji,
Zhenxing Wang,
Fan Zhang
et al.

Abstract: High sensitivity and fast response are the figures of merit for benchmarking commercial sensors. Due to the advantages of intrinsic signal amplification, bionic ability, and mechanical flexibility, electrochemical transistors (ECTs) have recently gained increasing popularity in constructing various sensors. In the current work, we have proposed a pulse‐driven synaptic ECT for supersensitive and ultrafast biosensors. By pulsing the presynaptic input (drain bias, VD) and setting the modulation potential (gate bi… Show more

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Cited by 31 publications
(2 citation statements)
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“…Based on the regulation of synaptic weights, neuromorphic devices perform various tasks by sensing external stimuli, storing relevant information, and performing computations, ultimately enhancing information processing efficiency and intelligence. The simulation of information transmission/processing in neurons promises to construct efficient neuromorphic engineering, which has a wide application in adaptive and interactive AI systems [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the regulation of synaptic weights, neuromorphic devices perform various tasks by sensing external stimuli, storing relevant information, and performing computations, ultimately enhancing information processing efficiency and intelligence. The simulation of information transmission/processing in neurons promises to construct efficient neuromorphic engineering, which has a wide application in adaptive and interactive AI systems [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…A current area of study includes using memristors to replicate the operations of biological synapses. The current surge in interest around memristors is attributed to its capacity to emulate the functionalities of synapses seen in biological creatures. The research that is now being conducted on artificial brain synapses that are based on memristors has made great progress, and the results that have been obtained in practical applications have been satisfying. Memristors, or memory resistors, have significant structural and information transmission resemblances to synapses, which are found in neurons throughout the body. Due to their ability to imitate the functioning of real synapses, these electrical components have been labeled as “artificial synapses.″ The most notable properties of these artificial synapses are their ability to exhibit long-term potentiation and long-term depression, which are among their crucial qualities. , These memristors may function as substitutes for the weights in artificial neural networks during the process of training models and performing image recognition tasks.…”
Section: Introductionmentioning
confidence: 99%