A neuromorphic bionic eye with broadband vision and biocompatibility using TIPS-pentacene-based phototransistor array retina

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A neuromorphic bionic eye with broadband vision and biocompatibility using TIPS-pentacene-based phototransistor array retina
Title:
A neuromorphic bionic eye with broadband vision and biocompatibility using TIPS-pentacene-based phototransistor array retina
Journal Title:
Applied Materials Today
Publication Date:
20 July 2023
Citation:
Zhang, H., Ju, X., Chi, D., Feng, L., Liu, Z., Yew, K., Zhu, M., Li, T., Wei, R., Wang, S., Sun, L., Wang, Z., & Wu, Y. (2023). A neuromorphic bionic eye with broadband vision and biocompatibility using TIPS-pentacene-based phototransistor array retina. Applied Materials Today, 33, 101885. https://doi.org/10.1016/j.apmt.2023.101885
Abstract:
Taking inspiration from the human eye's information processing capabilities, the artificial optoelectronic neuronic device (AOEND) offers a promising approach to creating a bionic eye that performs real-time, low-power processing by integrating optical sensors, signal processing, and electronic neurons into a single device. Despite significant advancements, the current AOEND still faces challenges in terms of power consumption, flexibility, bio-compatibility, and, most importantly, achieving photo-sensitivity across the same broadband perceivable wavelength range (380nm to 740nm) as the human eye. In this study, we present a commercially ready, dual-gated thin-film-transistor (TFT)-based AOEND. Our device exhibits exceptional photo-response to specific wavelengths by utilizing an organic TIPS-pentacene material as the channel layer and intentionally tailoring its optical bandgap to approximately 1.6eV. Additionally, the device successfully replicates various photon-triggered synaptic characteristics and performs visual sensing, memory processing, and other functions with low power consumption. Our findings present a viable strategy for the development of future integrated sensing-memory-processing flexible devices for optoelectronic artificial retina perception applications.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the National Research Foundation - Competitive Research Programs of Singapore
Grant Reference no. : NRF-CRP24–2020–0002

Beijing Natural Science Foundation (Grant No. Z210006), National Natural Science Foundation of China (Grant No. 92064006), the Hong Kong Research Grant Council-Early Career Scheme (Grant No. 27206321), National Natural Science Foundation of China-Excellent Young Scientists Fund (Hong Kong and Macau) (Grant No. 62122004).
Description:
ISSN:
2352-9407
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