A Simplified Computational Model of Mushroom Body for Tethered Bees' Abdominal Swing Behavior Induced by Optic Flow

ZHENG Nenggan; MA Qian; WANG Xuefei; ZHAO Lei; GONG Zhefeng

doi:10.1049/cje.2021.01.001

Volume 30 Issue 2

Apr. 2021

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Article Navigation > Chinese Journal of Electronics > 2021 > 30(2): 296-302

ZHENG Nenggan, MA Qian, WANG Xuefei, et al., “A Simplified Computational Model of Mushroom Body for Tethered Bees' Abdominal Swing Behavior Induced by Optic Flow,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 296-302, 2021, doi: 10.1049/cje.2021.01.001

Citation:

ZHENG Nenggan, MA Qian, WANG Xuefei, et al., “A Simplified Computational Model of Mushroom Body for Tethered Bees' Abdominal Swing Behavior Induced by Optic Flow,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 296-302, 2021, doi: 10.1049/cje.2021.01.001

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A Simplified Computational Model of Mushroom Body for Tethered Bees' Abdominal Swing Behavior Induced by Optic Flow

doi: 10.1049/cje.2021.01.001

ZHENG Nenggan^{1, 2
,},
MA Qian^{1, 2},
WANG Xuefei^{1, 2},
ZHAO Lei^{1, 2},
GONG Zhefeng^{3, 4
,
,}

1.
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China
2.
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
3.
Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou 310058, China
4.
Zhejiang Lab, Hangzhou 311121, China

Funds:

the Zhejiang Provincial Natural Science Foundation LR19F020005

the National Natural Science Foundation of China 61972347

the National Natural Science Foundation of China 61572433

Zhejiang Lab Grant 2020KB0AC02

More Information

Author Bio:
ZHENG Nenggan received the B.S. degree in biomedical engineering and the Ph.D. degree in computer science from Zhejiang University, Hangzhou, China. He is now a professor in Qiushi Academy for Advanced Studies, Zhejiang University. His current research interests include artificial intelligence, embedded systems, and brain-computer interface. (Email: zng@cs.zju.edu.cn)
Corresponding author: GONG Zhefeng (corresponding author) received the Ph.D. degree in biophysics from the Institute of Biophysics, Chinese Academy of Sciences in 2000. He is currently a Professor with the Medical School of Zhejiang University. His research interest include sensorimotor transformation in animals and neural control of animal movements. (Email: zfgong@zju.edu.cn)
Received Date: 2017-12-29
Accepted Date: 2020-06-23
Publish Date: 2021-03-01

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.
- Computational model,
- Optomotor response,
- Optic flow stimuli,
- Abdominal swing,
- Spiking neural network

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References(50)

References

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