Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour

Wang, Huatian and Fu, Qinbing and Wang, Hongxin and Peng, Jigen and Baxter, Paul and Hu, Cheng and Yue, Shigang (2019) Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour. In: The 2019 International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary.

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Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour
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Abstract

Insects use visual information to estimate angular velocity of retinal image motion, which determines a variety of flight behaviours including speed regulation, tunnel centring and visual navigation. For angular velocity estimation, honeybees show large spatial-independence against visual stimuli, whereas the previous models have not fulfilled such an ability. To address this issue, we propose a bio-plausible model for estimating the image motion velocity based on behavioural experiments of the honeybee flying through patterned tunnels. The proposed model contains mainly three parts, the texture estimation layer for spatial information extraction, the delay-and-correlate layer for temporal information extraction and the decoding layer for angular velocity estimation. This model produces responses that are largely independent of the spatial frequency in grating experiments. And the model has been implemented in a virtual bee for tunnel centring simulations. The results coincide with both electro-physiological neuron spike and behavioural path recordings, which indicates our proposed method provides a better explanation of the honeybee’s image motion detection mechanism guiding the tunnel centring behaviour.

Keywords:Insect vision, Motion detection, Angular velocity estimation, Spatial frequency independence, Centring response
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
G Mathematical and Computer Sciences > G750 Cognitive Modelling
G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G730 Neural Computing
Divisions:College of Science > School of Computer Science
ID Code:35685
Deposited On:16 Apr 2019 15:29

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