Hierarchies in Visual Pathway: Functions and Inspired Artificial Vision

Shirui Zhu, Tao Xie, Ziyu Lv, Yan Bing Leng, Yu Qi Zhang, Runze Xu, Jingrun Qin, Ye Zhou, Vellaisamy A.L. Roy, Su Ting Han

Research output: Contribution to journalReview articlepeer-review

28 Citations (Scopus)

Abstract

The development of artificial intelligence has posed a challenge to machine vision based on conventional complementary metal-oxide semiconductor (CMOS) circuits owing to its high latency and inefficient power consumption originating from the data shuffling between memory and computation units. Gaining more insights into the function of every part of the visual pathway for visual perception can bring the capabilities of machine vision in terms of robustness and generality. Hardware acceleration of more energy-efficient and biorealistic artificial vision highly necessitates neuromorphic devices and circuits that are able to mimic the function of each part of the visual pathway. In this paper, we review the structure and function of the entire class of visual neurons from the retina to the primate visual cortex within reach (Chapter 2) are reviewed. Based on the extraction of biological principles, the recent hardware-implemented visual neurons located in different parts of the visual pathway are discussed in detail in Chapters 3 and 4. Furthermore, valuable applications of inspired artificial vision in different scenarios (Chapter 5) are provided. The functional description of the visual pathway and its inspired neuromorphic devices/circuits are expected to provide valuable insights for the design of next-generation artificial visual perception systems.

Original languageEnglish
Article number2301986
JournalAdvanced Materials
Volume36
Issue number6
DOIs
Publication statusPublished - 8 Feb 2024

Keywords

  • artificial vision
  • biomimetic function
  • neuromorphic devices
  • receptive field
  • visual pathway

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