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JRM Vol.34 No.4 pp. 795-807
doi: 10.20965/jrm.2022.p0795
(2022)

Paper:

The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Drosophila’s Optic Lobe

Munehiro Hayashi*, Tomoki Kazawa**, Hayato Tsunoda***, and Ryohei Kanzaki**

*Graduate School of Engineering, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan

**Research Center for Advanced Science and Technology, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan

***Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan

Received:
February 11, 2022
Accepted:
May 24, 2022
Published:
August 20, 2022
Keywords:
neural circuit, vision, fly, motion detector, biophysical modeling
Abstract
The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of <b><i>Drosophila</i></b>’s Optic Lobe

ON-edge detection to the object movement

The optic lobe of the fly is one of the prominent model systems for the neural mechanism of the motion detection. How a fly who lives under various visual situations of the nature processes the information from at most a few thousands of ommatidia in their neural circuit for the detection of moving objects is not exactly clear though many computational models of the fly optic lobe as a moving objects detector were suggested. Here we attempted to elucidate the mechanisms of ON-edge motion detection by a simulation approach based on the TEM connectome of Drosophila. Our simulation model of the optic lobe with the NEURON simulator that covers the full scale of ommatidia, reproduced the characteristics of the receptor neurons, lamina monopolar neurons, and T4 cells in the lobula. The contribution of each neuron can be estimated by changing synaptic connection strengths in the simulation and measuring the response to the motion stimulus. Those show the paradelle pathway provide motion detection in the fly optic lobe has more robustness and is more sophisticated than a simple combination of HR and BL systems.

Cite this article as:
M. Hayashi, T. Kazawa, H. Tsunoda, and R. Kanzaki, “The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Drosophila’s Optic Lobe,” J. Robot. Mechatron., Vol.34, No.4, pp. 795-807, 2022.
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Last updated on Sep. 22, 2022