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  • 1
    Publication Date: 2013-08-09
    Description: Animal behaviour arises from computations in neuronal circuits, but our understanding of these computations has been frustrated by the lack of detailed synaptic connection maps, or connectomes. For example, despite intensive investigations over half a century, the neuronal implementation of local motion detection in the insect visual system remains elusive. Here we develop a semi-automated pipeline using electron microscopy to reconstruct a connectome, containing 379 neurons and 8,637 chemical synaptic contacts, within the Drosophila optic medulla. By matching reconstructed neurons to examples from light microscopy, we assigned neurons to cell types and assembled a connectome of the repeating module of the medulla. Within this module, we identified cell types constituting a motion detection circuit, and showed that the connections onto individual motion-sensitive neurons in this circuit were consistent with their direction selectivity. Our results identify cellular targets for future functional investigations, and demonstrate that connectomes can provide key insights into neuronal computations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799980/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799980/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Takemura, Shin-ya -- Bharioke, Arjun -- Lu, Zhiyuan -- Nern, Aljoscha -- Vitaladevuni, Shiv -- Rivlin, Patricia K -- Katz, William T -- Olbris, Donald J -- Plaza, Stephen M -- Winston, Philip -- Zhao, Ting -- Horne, Jane Anne -- Fetter, Richard D -- Takemura, Satoko -- Blazek, Katerina -- Chang, Lei-Ann -- Ogundeyi, Omotara -- Saunders, Mathew A -- Shapiro, Victor -- Sigmund, Christopher -- Rubin, Gerald M -- Scheffer, Louis K -- Meinertzhagen, Ian A -- Chklovskii, Dmitri B -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Aug 8;500(7461):175-81. doi: 10.1038/nature12450.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23925240" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Connectome ; Drosophila/*physiology ; Female ; *Models, Biological ; Motion Perception/*physiology ; Visual Pathways/cytology/*physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-04-22
    Description: Natural events present multiple types of sensory cues, each detected by a specialized sensory modality. Combining information from several modalities is essential for the selection of appropriate actions. Key to understanding multimodal computations is determining the structural patterns of multimodal convergence and how these patterns contribute to behaviour. Modalities could converge early, late or at multiple levels in the sensory processing hierarchy. Here we show that combining mechanosensory and nociceptive cues synergistically enhances the selection of the fastest mode of escape locomotion in Drosophila larvae. In an electron microscopy volume that spans the entire insect nervous system, we reconstructed the multisensory circuit supporting the synergy, spanning multiple levels of the sensory processing hierarchy. The wiring diagram revealed a complex multilevel multimodal convergence architecture. Using behavioural and physiological studies, we identified functionally connected circuit nodes that trigger the fastest locomotor mode, and others that facilitate it, and we provide evidence that multiple levels of multimodal integration contribute to escape mode selection. We propose that the multilevel multimodal convergence architecture may be a general feature of multisensory circuits enabling complex input-output functions and selective tuning to ecologically relevant combinations of cues.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ohyama, Tomoko -- Schneider-Mizell, Casey M -- Fetter, Richard D -- Aleman, Javier Valdes -- Franconville, Romain -- Rivera-Alba, Marta -- Mensh, Brett D -- Branson, Kristin M -- Simpson, Julie H -- Truman, James W -- Cardona, Albert -- Zlatic, Marta -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Apr 30;520(7549):633-9. doi: 10.1038/nature14297. Epub 2015 Apr 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute Janelia Research Campus, 19700 Helix Drive, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25896325" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Central Nervous System/cytology/physiology ; Cues ; Drosophila melanogaster/*cytology/growth & development/*physiology ; Female ; Interneurons/metabolism ; Larva/cytology/physiology ; *Locomotion ; Motor Neurons/metabolism ; Neural Pathways/*physiology ; Sensory Receptor Cells/metabolism ; Signal Transduction ; Synapses/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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