Zhou, F. et al. Optoelectronic resistive random entry reminiscence for neuromorphic imaginative and prescient sensors. Nat. Nanotechnol. 14, 776–782 (2019).
Wu, N. Neuromorphic imaginative and prescient chips. Sci. China Inf. Sci. 61, 060421 (2018).
Zhou, F. & Chai, Y. Close to-sensor and in-sensor computing. Nat. Electron. 3, 664–671 (2020).
Dai, S. et al. Rising iontronic neural units for neuromorphic sensory computing. Adv. Mater. 35, 2300329 (2023).
Du, J. et al. A sturdy neuromorphic imaginative and prescient sensor with optical management of ferroelectric switching. Nano Power 89, 106439 (2021).
Li, G. et al. Picture-induced non-volatile VO2 section transition for neuromorphic ultraviolet sensors. Nat. Commun. 13, 1729 (2022).
Jang, H. et al. An atomically skinny optoelectronic machine imaginative and prescient processor. Adv. Mater. 32, 2002431 (2020).
Zhang, Z. et al. In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array. Nat. Commun. 13, 6590 (2022).
Zhao, R. et al. A framework for the final design and computation of hybrid neural networks. Nat. Commun. 13, 3427 (2022).
Wang, Y. et al. Optoelectronic synaptic units for neuromorphic computing. Adv. Intell. Syst 3, 2000099 (2021).
Zhang, J., Dai, S., Zhao, Y., Zhang, J. & Huang, J. Latest progress in photonic synapses for neuromorphic techniques. Adv. Intell. Syst. 2, 1900136 (2020).
Track, S. et al. Latest progress of optoelectronic and all-optical neuromorphic units: a complete overview of machine buildings, supplies, and purposes. Adv. Intell. Syst. 3, 2000119 (2021).
John, R. A. et al. Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing. Nat. Commun. 13, 2074 (2022).
Wang, T. et al. Reconfigurable neuromorphic memristor community for ultralow-power sensible textile electronics. Nat. Commun. 13, 7432 (2022).
Pi, L. et al. Broadband convolutional processing utilizing band-alignment-tunable heterostructures. Nat. Electron. 5, 248–254 (2022).
Mennel, L. et al. Ultrafast machine imaginative and prescient with 2D materials neural community picture sensors. Nature 579, 62–66 (2020).
Zhang, Z. et al. All-in-one two-dimensional retinomorphic {hardware} machine for movement detection and recognition. Nat. Nanotechnol. 17, 27–32 (2022).
Solar, L. et al. In-sensor reservoir computing for language studying through two-dimensional memristors. Sci. Adv. 7, eabg1455 (2021).
Wu, X. et al. Wearable in-sensor reservoir computing utilizing optoelectronic polymers with through-space charge-transport traits for multi-task studying. Nat. Commun. 14, 468 (2023).
Lao, J. et al. Ultralow-power machine imaginative and prescient with self-powered sensor reservoir. Adv. Sci. 9, 2106092 (2022).
Zhong, Y. et al. A memristor-based analogue reservoir computing system for real-time and power-efficient sign processing. Nat. Electron. 5, 672–681 (2022).
Liang, X. et al. Bodily reservoir computing with rising electronics. Nat. Electron. 7, 193–206 (2024).
Moon, J. et al. Temporal information classification and forecasting utilizing a memristor-based reservoir computing system. Nat. Electron. 2, 480–487 (2019).
Portner, Okay. et al. Analog nanoscale electro-optical synapses for neuromorphic computing purposes. ACS. Nano. 15, 14776–14785 (2021).
Hu, L. et al. All-optically managed memristor for optoelectronic neuromorphic computing. Adv. Funct. Mater. 31, 2005582 (2021).
Tan, H. et al. An optoelectronic resistive switching reminiscence with built-in demodulating and arithmetic features. Adv. Mater. 27, 2797–2803 (2015).
Chen, J. Y. et al. Dynamic evolution of conducting nanofilament in resistive switching reminiscences. Nano Lett. 13, 3671–3677 (2013).
Simanjuntak, F. M., Panda, D., Wei, Okay. H. & Tseng, T. Y. Standing and prospects of ZnO-based resistive switching reminiscence units. Nanoscale Res. Lett. 11, 368 (2016).
Xu, N. et al. Traits and mechanism of conduction/set course of in TiN/ZnO/Pt resistance switching random-access reminiscences. Appl. Phys. Lett. 92, 232112 (2008).
Zhou, Z., Pei, Y., Zhao, J., Fu, G. & Yan, X. Seen gentle responsive optoelectronic memristor machine primarily based on CeOx/ZnO construction for synthetic imaginative and prescient system. Appl. Phys. Lett. 118, 191103 (2021).
Wang, T.-Y. et al. Reconfigurable optoelectronic memristor for in-sensor computing purposes. Nano Power 89, 106291 (2021).
Wang, W. et al. CMOS backend-of-line appropriate reminiscence array and logic circuitries enabled by excessive efficiency atomic layer deposited ZnO thin-film transistor. Nat. Commun. 14, 6079 (2023).
Wang, Z. et al. Emptiness pushed floor dysfunction catalyzes anisotropic evaporation of ZnO (0001) polar floor. Nat. Commun. 13, 5616 (2022).
Lanza, M. et al. Really useful strategies to review resistive switching units. Adv. Electron. Mater. 5, 1800143 (2019).
Kuzum, D., Yu, S. & Wong, H. S. Synaptic electronics: supplies, units and purposes. Nanotechnology 24, 382001 (2013).
Russo, P., Xiao, M., Liang, R. & Zhou, N. Y. UV-induced multilevel present amplification reminiscence impact in zinc oxide rods resistive switching units. Adv. Funct. Mater. 28, 1706230 (2018).
Oh, I., Pyo, J. & Kim, S. Resistive switching and synaptic traits in ZnO/TaON-based RRAM for neuromorphic system. Nanomaterial 12, 2185 (2022).
Website positioning, S. et al. Synthetic optic-neural synapse for coloured and color-mixed sample recognition. Nat. Commun. 9, 5106 (2018).
Yilmaz, A., Javed, O. & Shah, M. Object monitoring. ACM Comput. Surv. 38, 1–45 (2006).
Wang, S. et al. Networking retinomorphic sensor with memristive crossbar for brain-inspired visible notion. Natl Sci. Rev. 8, nwaa172 (2020).