A BLG1 neural model implements the unique looming selectivity to diving target
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1. School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China;2. School of Computer Science, University of Lincoln, Lincoln LN6 7TS, UK;3. School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China;4. School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China

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    Abstract:

    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):112-116

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History
  • Received:April 24,2022
  • Revised:October 17,2022
  • Online: February 17,2023
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