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

作　　者：LUAN Hao HUA Mu ZHANG Yicheng YUE Shigang FU Qinbing 

机构地区：[1]School of Computer Science and Engineering,Tianjin University of Technology,Tianjin 300384,China [2]School of Computer Science,University of Lincoln,Lincoln LN67TS,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

出　　处：《Optoelectronics Letters》2023年第2期112-116,共5页光电子快报（英文版）

基　　金：supported by the National Natural Science Foundation of China (No.12031003);the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement (No.778062 ULTRACEPT)。

摘　　要：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.

关 键 词：A BLG1 neural model diving target BLG 

分 类 号：Q42[生物学—神经生物学]