Neuromorphic display system for intelligent display

Chen, Qizhen; Zhang, Xianghong; Liu, Yaqian; Yan, Yujie; Yu, Rengjian; Wang, Xiumei; Lin, Zenan; Zeng, Huaan; Liu, Lujian; Chen, Huipeng; Guo, Tailiang

doi:10.1016/j.nanoen.2022.106931

Cited by 20 publications

(17 citation statements)

References 69 publications

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“…Electroluminescence is received by the photodetector for postsynaptic brightness (PSB) detection. Hybrid quantum dots (QDs) used in the light-emitting layer can emit light of specific color in response to electric field 7 , 50 – 53 , and the emission color can be changed by varying the magnitude of the electric field. Based on this, SMPS with synapse-like and multi-wavelength light output can be realized by tuning the electric field intensity generated by the contact intensity.…”

Section: Resultsmentioning

confidence: 99%

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Shan

Chen

et al. 2023

Nat Commun

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Realizing multi-modal information recognition tasks which can process external information efficiently and comprehensively is an urgent requirement in the field of artificial intelligence. However, it remains a challenge to achieve simple structure and high-performance multi-modal recognition demonstrations owing to the complex execution module and separation of memory processing based on the traditional complementary metal oxide semiconductor (CMOS) architecture. Here, we propose an efficient sensory memory processing system (SMPS), which can process sensory information and generate synapse-like and multi-wavelength light-emitting output, realizing diversified utilization of light in information processing and multi-modal information recognition. The SMPS exhibits strong robustness in information encoding/transmission and the capability of visible information display through the multi-level color responses, which can implement the multi-level pain warning process of organisms intuitively. Furthermore, different from the conventional multi-modal information processing system that requires independent and complex circuit modules, the proposed SMPS with unique optical multi-information parallel output can realize efficient multi-modal information recognition of dynamic step frequency and spatial positioning simultaneously with the accuracy of 99.5% and 98.2%, respectively. Therefore, the SMPS proposed in this work with simple component, flexible operation, strong robustness, and highly efficiency is promising for future sensory-neuromorphic photonic systems and interactive artificial intelligence.

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Section: Resultsmentioning

confidence: 99%

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Shan

Chen

et al. 2023

Nat Commun

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“…Furthermore, apart from basic neuromorphic functions, the potential of a synaptic OECT for multisensory applications has attracted strong interest in recent years. Great efforts have been made on developing synaptic transistors for the perception of light, 16 temperature, 17 tactile movement, 18,19 pressure, 20 and electrocardiogram patterns. 8,21 However, as a prestigious component of biosensing electronics, the integration of a synaptic OECT with a biomarker recognition function has been seldom studied.…”

Section: Introductionmentioning

confidence: 99%

Boron nitride-mediated semiconductor nanonetwork for an ultralow-power fibrous synaptic transistor and C-reactive protein sensing

Shu

Qing

et al. 2023

J. Mater. Chem. C

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“…One in which the mature AOS technology is used both for the display and, naturally combined, with the ANN hardware. [ 40 ]…”

Section: Introductionmentioning

confidence: 99%

“…One in which the mature AOS technology is used both for the display and, naturally combined, with the ANN hardware. [40] In regard to the memristor integration with TFT, some efforts on the optimization of the IGZO layer for memristor compatibility have been made, [41,42] including by our group. [8] Chang et al successfully reported on a 1T1M structure using the same IGZO layer for both TFT and memristor, however the RS device had an abrupt type of switching which is not ideal for ANNs and, in fact, no plasticity characteristic was shown.…”

Section: Introductionmentioning

confidence: 99%

Flexible Active Crossbar Arrays Using Amorphous Oxide Semiconductor Technology toward Artificial Neural Networks Hardware

Pereira

Deuermeier

Figueiredo

et al. 2022

Adv Elect Materials

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Memristor crossbar arrays can compose the efficient hardware for artificial intelligent applications. However, the requirements for a linear and symmetric synaptic weight update and low cycle‐to‐cycle (C2C) and device‐to‐device variability as well as the sneak‐path current issue have been delaying its further development. This study reports on a thin‐film amorphous oxide‐based 4×4 1‐transistor 1‐memristor (1T1M) crossbar. The a‐IGZO crossbar is built on a flexible polyimide substrate, enabling IoT and wearable applications. In the novel framework, the thin‐film transistor and memristor are fabricated at the same level, with the same processing steps and sharing the same materials for all layers. The 1T1M cells show linear and symmetrical plasticity characteristic with low C2C variability. The memristor performs like an analog dot product engine and vector–matrix multiplications in the 4×4 crossbars is demonstrated experimentally, in which the sneak‐path current issue is successfully suppressed, resulting in a proof‐of‐concept for a cost‐effective, flexible artificial neural networks hardware.

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Neuromorphic display system for intelligent display

Cited by 20 publications

References 69 publications

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

A sensory memory processing system with multi-wavelength synaptic-polychromatic light emission for multi-modal information recognition

Boron nitride-mediated semiconductor nanonetwork for an ultralow-power fibrous synaptic transistor and C-reactive protein sensing

Flexible Active Crossbar Arrays Using Amorphous Oxide Semiconductor Technology toward Artificial Neural Networks Hardware

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