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Neuromorphic vision sensors aim to replicate the human visual system by transforming light into electrical signals. However, achieving color discrimination remains a challenge. Colloidal quantum dots (QDs) are being investigated as photoactive materials for artificial synaptic applications. QD-based phototransistors have shown promise for their versatile photo-synaptic memory behaviors and neuromorphic image processing capabilities. This study proposes incorporating a mixed-QD system of different sizes within a single device to improve color identification and spatio-temporal resolution. An amorphous In-Ga-Zn-O (IGZO) thin-film transistor amplifies the signals, and a heterojunction between absorption and channel layers achieves synaptic function by storing charges, enabling the device to recognize and distinguish light signals of varying wavelengths and intensities.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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