Negative Photoconductivity Transistors for Visuomorphic Computing

doi:10.1002/adma.202403538

2024-07-23

PRE

DOI：10.1002/adma.202403538

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摘要

En 中文

Visuomorphic computing aims to simulate and potentially surpass the human retina by mimicking biological visual perception with an artificial retina. Despite significant progress, challenges persist in perceiving complex interactive environments. Negative photoconductivity transistors (NPTs) mimic synaptic behavior by achieving adjustable positive photoconductivity (PPC) and negative photoconductivity (NPC), simulating excitation and inhibition akin to sensory cell signals. In complex interactive environments, NPTs are desired for visuomorphic computing that can achieve a better sense of information, lower power consumption, and reduce hardware complexity. In this review, it is started by introducing the development process of NPTs, while placing a strong emphasis on the device structures, working mechanisms, and key performance parameters. The common material systems employed in NPTs based on their functions are then summarized. Moreover, it is proceeded to summarize the noteworthy applications of NPTs in optoelectronic devices, including advanced multibit nonvolatile memory, optoelectronic logic gates, optical encryption, and visual perception. Finally, the challenges and prospects that lie ahead in the ongoing development of NPTs are addressed, offering valuable insights into their applications in optoelectronics and a comprehensive understanding of their significance. Significant progress has been made in visuomorphic computing, but challenges remain in perceiving complex interactive environments. This review is the first to discuss the development and application of NPTs in the field of visuomorphic computing and provides a good reference for others to design lower power consumption, multivisual task coordinated, and multisensory fused artificial vision systems. image

Keyword:

multibit nonvolatile memory

negative photoconductivity

optoelectronic logic gate

phototransistor

visuomorphic computing

期刊

Advanced Materials

IF:

26.8

论文数:

3.4W

被引数:

46.0W

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