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Kazunori Shinomiya

Researcher at Howard Hughes Medical Institute

Publications -  20
Citations -  1971

Kazunori Shinomiya is an academic researcher from Howard Hughes Medical Institute. The author has contributed to research in topics: Connectome & Neuropil. The author has an hindex of 12, co-authored 16 publications receiving 1340 citations. Previous affiliations of Kazunori Shinomiya include University of Tokyo & Dalhousie University.

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A connectome and analysis of the adult Drosophila central brain

Louis K. Scheffer, +114 more
- 07 Sep 2020 - 
TL;DR: Improved methods are summarized and the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster is presented, reducing the effort needed to answer circuit questions and providing procedures linking the neurons defined by the analysis with genetic reagents.
Journal ArticleDOI

A Systematic Nomenclature for the Insect Brain

TL;DR: A consortium of neurobiologists studying arthropod brains, the Insect Brain Name Working Group, has established the present hierarchical nomenclature system, using the brain of Drosophila melanogaster as the reference framework, while taking the brains of other taxa into careful consideration for maximum consistency and expandability.
Posted ContentDOI

A connectome of the adult drosophila central brain

C.S. Xu, +104 more
- 21 Jan 2020 - 
TL;DR: New methods are summarized and the complete circuitry of a large fraction of the brain of a much more complex animal, the fruit fly Drosophila melanogaster, is presented, reducing the effort needed to answer typical circuit questions.
Journal ArticleDOI

Systematic analysis of neural projections reveals clonal composition of the Drosophila brain.

TL;DR: The study showed that the insect brain is formed by a composition of cell-lineage-dependent modules, and clonal analysis reveals organized architecture even in those neuropils without obvious structural landmarks.
Journal ArticleDOI

Candidate neural substrates for off-edge motion detection in Drosophila.

TL;DR: It is hypothesized that T5 computes small-field motion signals by integrating multiple cholinergic Tm inputs using nicotinic and muscarinic cholinoceptors.