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

Hao Luan , Mu Hua , Yicheng Zhang , Shigang Yue , Qinbing Fu

Optoelectronics Letters ›› 2023, Vol. 19 ›› Issue (2) : 112 -116.

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Optoelectronics Letters ›› 2023, Vol. 19 ›› Issue (2) : 112 -116. DOI: 10.1007/s11801-023-2095-0
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A BLG1 neural model implements the unique looming selectivity to diving target

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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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Hao Luan, Mu Hua, Yicheng Zhang, Shigang Yue, Qinbing Fu. A BLG1 neural model implements the unique looming selectivity to diving target. Optoelectronics Letters, 2023, 19(2): 112-116 DOI:10.1007/s11801-023-2095-0

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