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Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain
Understanding the circuit mechanisms behind motion detection is a long-standing question in visual neuroscience. In Drosophila melanogaster, recently discovered synapse-level connectomes in the optic lobe, particularly in ON-pathway (T4) receptive-field circuits, in concert with physiological studie...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338461/ https://www.ncbi.nlm.nih.gov/pubmed/30624205 http://dx.doi.org/10.7554/eLife.40025 |
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author | Shinomiya, Kazunori Huang, Gary Lu, Zhiyuan Parag, Toufiq Xu, C Shan Aniceto, Roxanne Ansari, Namra Cheatham, Natasha Lauchie, Shirley Neace, Erika Ogundeyi, Omotara Ordish, Christopher Peel, David Shinomiya, Aya Smith, Claire Takemura, Satoko Talebi, Iris Rivlin, Patricia K Nern, Aljoscha Scheffer, Louis K Plaza, Stephen M Meinertzhagen, Ian A |
author_facet | Shinomiya, Kazunori Huang, Gary Lu, Zhiyuan Parag, Toufiq Xu, C Shan Aniceto, Roxanne Ansari, Namra Cheatham, Natasha Lauchie, Shirley Neace, Erika Ogundeyi, Omotara Ordish, Christopher Peel, David Shinomiya, Aya Smith, Claire Takemura, Satoko Talebi, Iris Rivlin, Patricia K Nern, Aljoscha Scheffer, Louis K Plaza, Stephen M Meinertzhagen, Ian A |
author_sort | Shinomiya, Kazunori |
collection | PubMed |
description | Understanding the circuit mechanisms behind motion detection is a long-standing question in visual neuroscience. In Drosophila melanogaster, recently discovered synapse-level connectomes in the optic lobe, particularly in ON-pathway (T4) receptive-field circuits, in concert with physiological studies, suggest a motion model that is increasingly intricate when compared with the ubiquitous Hassenstein-Reichardt model. By contrast, our knowledge of OFF-pathway (T5) has been incomplete. Here, we present a conclusive and comprehensive connectome that, for the first time, integrates detailed connectivity information for inputs to both the T4 and T5 pathways in a single EM dataset covering the entire optic lobe. With novel reconstruction methods using automated synapse prediction suited to such a large connectome, we successfully corroborate previous findings in the T4 pathway and comprehensively identify inputs and receptive fields for T5. Although the two pathways are probably evolutionarily linked and exhibit many similarities, we uncover interesting differences and interactions that may underlie their distinct functional properties. |
format | Online Article Text |
id | pubmed-6338461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-63384612019-01-24 Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain Shinomiya, Kazunori Huang, Gary Lu, Zhiyuan Parag, Toufiq Xu, C Shan Aniceto, Roxanne Ansari, Namra Cheatham, Natasha Lauchie, Shirley Neace, Erika Ogundeyi, Omotara Ordish, Christopher Peel, David Shinomiya, Aya Smith, Claire Takemura, Satoko Talebi, Iris Rivlin, Patricia K Nern, Aljoscha Scheffer, Louis K Plaza, Stephen M Meinertzhagen, Ian A eLife Neuroscience Understanding the circuit mechanisms behind motion detection is a long-standing question in visual neuroscience. In Drosophila melanogaster, recently discovered synapse-level connectomes in the optic lobe, particularly in ON-pathway (T4) receptive-field circuits, in concert with physiological studies, suggest a motion model that is increasingly intricate when compared with the ubiquitous Hassenstein-Reichardt model. By contrast, our knowledge of OFF-pathway (T5) has been incomplete. Here, we present a conclusive and comprehensive connectome that, for the first time, integrates detailed connectivity information for inputs to both the T4 and T5 pathways in a single EM dataset covering the entire optic lobe. With novel reconstruction methods using automated synapse prediction suited to such a large connectome, we successfully corroborate previous findings in the T4 pathway and comprehensively identify inputs and receptive fields for T5. Although the two pathways are probably evolutionarily linked and exhibit many similarities, we uncover interesting differences and interactions that may underlie their distinct functional properties. eLife Sciences Publications, Ltd 2019-01-09 /pmc/articles/PMC6338461/ /pubmed/30624205 http://dx.doi.org/10.7554/eLife.40025 Text en © 2019, Shinomiya et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Shinomiya, Kazunori Huang, Gary Lu, Zhiyuan Parag, Toufiq Xu, C Shan Aniceto, Roxanne Ansari, Namra Cheatham, Natasha Lauchie, Shirley Neace, Erika Ogundeyi, Omotara Ordish, Christopher Peel, David Shinomiya, Aya Smith, Claire Takemura, Satoko Talebi, Iris Rivlin, Patricia K Nern, Aljoscha Scheffer, Louis K Plaza, Stephen M Meinertzhagen, Ian A Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title | Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title_full | Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title_fullStr | Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title_full_unstemmed | Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title_short | Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain |
title_sort | comparisons between the on- and off-edge motion pathways in the drosophila brain |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338461/ https://www.ncbi.nlm.nih.gov/pubmed/30624205 http://dx.doi.org/10.7554/eLife.40025 |
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