The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Dros...
The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Drosophila ’s Optic Lobe
About this item
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Author / Creator
Hayashi, Munehiro , Kazawa, Tomoki , Tsunoda, Hayato , Kanzaki, Ryohei , Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan , Graduate School of Engineering, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan and 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
Journal title
Language
English
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Scope and Contents
Contents
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 computati...
Alternative Titles
Full title
The Understanding of ON-Edge Motion Detection Through the Simulation Based on the Connectome of Drosophila ’s Optic Lobe
Authors, Artists and Contributors
Author / Creator
Kazawa, Tomoki
Tsunoda, Hayato
Kanzaki, Ryohei
Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
Graduate School of Engineering, 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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_20965_jrm_2022_p0795
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_20965_jrm_2022_p0795
Other Identifiers
ISSN
0915-3942
E-ISSN
1883-8049
DOI
10.20965/jrm.2022.p0795
