Abstract
In this study, a P3HT-based multi-gate frequency-dependent synaptic transistor is fabricated, which demonstrates significant advantages in mimicking the transmission characteristics of biological synaptic activities. The proposed device simulates outputs related to frequency and gate voltage modulation. This device can respond differently to inputs ranging from 0.75 to 11.11 Hz, and at the same input frequency, it exhibits different responses by varying the control gate voltage from 0 to −0.8 V. This innovative design can dynamically adjust the cutoff frequency, enhancing edge feature processing in images, thereby significantly improving the recognition accuracy of information in blurry images that can be difficult for humans to distinguish. Our results provide a hardware edge-computing image processing method, overcoming the limitations of traditional single-gate transistors that typically have fixed parameters. The recognition accuracy of information in blurry images preprocessed by this device improved significantly from 80% to 100%. Combined with the multi-gate design, this synaptic device excels not only in edge enhancement and image processing but also offers robust hardware support for future neuromorphic electronics.
Published Version
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