A Simplified Computational Model of Mushroom Body for Tethered Bees' Abdominal Swing Behavior Induced by Optic Flow. Issue 2 (1st March 2021)

• Record Type: Journal Article
• Authors: Nenggan, Zheng; Qian, Ma; Xuefei, Wang; Lei, Zhao; Zhefeng, Gong
• Is Part Of: Chinese journal of electronics. Volume 30:Issue 2(2021)
• Page Start: 296
• Page End: 302
• Publication Date: 2021-03-01
• Subjects: Computational model -- Optomotor response -- Optic flow stimuli -- Abdominal swing -- Spiking neural network; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2021.01.001
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : Understanding sensorimotor neural circuits plays an important role in the study of behavioral mechanisms. By virtue of a relatively simple brain structure and sophisticated locomotion behaviors, insects are selected as comparative research subjects to discover the basic principles of neural science. Specific abdominal swing behaviors of tethered bees induced by optomotor response are realized. To model functionality of mushroom body in the optic‐flow induced swing behaviors, a simplified 3‐layer Spiking neural network (SNN) is proposed. Spike response model is used as the single neuron model in the proposed SNN, which is trained by supervised learning method. The computational model can accurately simulate and predict the bees' abdominal swing behaviors exhibiting ipsilateral direction and proportional frequencies with optic flow stimulus.