Optoelectronics Letters, Volume. 19, Issue 2, 112(2023)

A BLG1 neural model implements the unique looming selectivity to diving target

Hao LUAN1, Mu HUA2, Yicheng ZHANG2,3, Shigang YUE2, and Qinbing FU2,4、*
Author Affiliations
  • 1School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China
  • 2School of Computer Science, University of Lincoln, Lincoln LN6 7TS, UK
  • 3School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China
  • 4School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China
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    The bistratified lobula giant type 1 (BLG1) neuron is an identified looming-sensitive neuron in crab’s visual brain that demonstrates special sensitivity to diving targets, or descending approaching motions. In this paper, a novel neural model is proposed to shape such unique selectivity through incorporating a bio-plausible feedforward contrast inhibition synapse and a radially extending spatial enhancement distribution. Herein the synaptic connections and neuronal functions of this model are placed within a framework for matching and describing underlying biological findings. The systematic and comparative experiments have validated the proposed computational model that reconciles with the characteristics of BLG1 neurons in crab.

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    LUAN Hao, HUA Mu, ZHANG Yicheng, YUE Shigang, FU Qinbing. A BLG1 neural model implements the unique looming selectivity to diving target[J]. Optoelectronics Letters, 2023, 19(2): 112

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    Paper Information

    Category: Image and Information processing

    Received: Jun. 6, 2022

    Accepted: Jul. 18, 2022

    Published Online: Mar. 18, 2023

    The Author Email: Qinbing FU (qifu@gzhu.edu.cn)

    DOI:0.1007/s11801-023-2095-0

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