2023
DOI: 10.1039/d3mh00759f
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Flexible In–Ga–Zn–N–O synaptic transistors for ultralow-power neuromorphic computing and EEG-based brain–computer interfaces

Abstract: Designing low-power and flexible artificial neural devices with artificial neural networks is a promising avenue for creating Brain-Computer Interfaces (BCIs). Herein, we report the development of flexible In-Ga-Zn-N-O synaptic transistors...

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Cited by 12 publications
(4 citation statements)
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“…As an important SRDP, BCM learning rules can regulate synaptic weights through frequency, 31 which plays an important role in the treatment of amblyopia and the improvement of image recognition accuracy. 32,34,51,52 In order to simulate the BCM learning rules in the DPA device, the initial conductance (G 0 ) should be fixed to explore the frequency dependence. Fig.…”
Section: Resultsmentioning
confidence: 99%
“…As an important SRDP, BCM learning rules can regulate synaptic weights through frequency, 31 which plays an important role in the treatment of amblyopia and the improvement of image recognition accuracy. 32,34,51,52 In order to simulate the BCM learning rules in the DPA device, the initial conductance (G 0 ) should be fixed to explore the frequency dependence. Fig.…”
Section: Resultsmentioning
confidence: 99%
“…33 The adjustable threshold characteristics of BCM learning rules play an important role in the treatment of amblyopia and improving the accuracy of chest recognition. 34,35 Similarly, BCM models also help improve the accuracy of machine learning in neural networks. 36 This provides an effective strategy to enhance the performance of the neural network for artificially intelligent systems.…”
Section: Simulation Of Biological Plasticitymentioning
confidence: 99%
“…4,5 In the field of artificial light sensing, optoelectronic artificial synapses that integrate perception, carry out learning, and form memory in a single device are promising for the development of advanced neuromorphic vision systems. 6 In recent years, artificial visual perception systems enabled by artificial synapses have been widely developed. In the human visual system, the retina contains three types of photoreceptor cells that sense red, green, and blue signals.…”
Section: Introductionmentioning
confidence: 99%