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  1. Artikel: A comprehensive neuroanatomical survey of the

    Zhao, Arthur / Nern, Aljoscha / Koskela, Sanna / Dreher, Marisa / Erginkaya, Mert / Laughland, Connor W / Ludwigh, Henrique / Thomson, Alex / Hoeller, Judith / Parekh, Ruchi / Romani, Sandro / Bock, Davi D / Chiappe, Eugenia / Reiser, Michael B

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. ...

    Abstract Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems.
    Sprache Englisch
    Erscheinungsdatum 2023-10-17
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.10.16.562634
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Measuring the knot of non-Hermitian degeneracies and non-commuting braids.

    Patil, Yogesh S S / Höller, Judith / Henry, Parker A / Guria, Chitres / Zhang, Yiming / Jiang, Luyao / Kralj, Nenad / Read, Nicholas / Harris, Jack G E

    Nature

    2022  Band 607, Heft 7918, Seite(n) 271–275

    Abstract: Any system of coupled oscillators may be characterized by its spectrum of resonance frequencies (or eigenfrequencies), which can be tuned by varying the system's parameters. The relationship between control parameters and the eigenfrequency spectrum is ... ...

    Abstract Any system of coupled oscillators may be characterized by its spectrum of resonance frequencies (or eigenfrequencies), which can be tuned by varying the system's parameters. The relationship between control parameters and the eigenfrequency spectrum is central to a range of applications
    Sprache Englisch
    Erscheinungsdatum 2022-07-13
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-022-04796-w
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Jg. 1995 - 2021: Lesesall (1.OG)
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  3. Artikel: Connectome-driven neural inventory of a complete visual system.

    Nern, Aljoscha / Loesche, Frank / Takemura, Shin-Ya / Burnett, Laura E / Dreher, Marisa / Gruntman, Eyal / Hoeller, Judith / Huang, Gary B / Januszewski, Michal / Klapoetke, Nathan C / Koskela, Sanna / Longden, Kit D / Lu, Zhiyuan / Preibisch, Stephan / Qiu, Wei / Rogers, Edward M / Seenivasan, Pavithraa / Zhao, Arthur / Bogovic, John /
    Canino, Brandon S / Clements, Jody / Cook, Michael / Finley-May, Samantha / Flynn, Miriam A / Fragniere, Alexandra Mc / Hameed, Imran / Hayworth, Kenneth J / Hopkins, Gary Patrick / Hubbard, Philip M / Katz, William T / Kovalyak, Julie / Lauchie, Shirley A / Leonard, Meghan / Lohff, Alanna / Maldonado, Charli A / Mooney, Caroline / Okeoma, Nneoma / Olbris, Donald J / Ordish, Christopher / Paterson, Tyler / Phillips, Emily M / Pietzsch, Tobias / Rivas Salinas, Jennifer / Rivlin, Patricia K / Schlegel, Philipp / Scott, Ashley L / Scuderi, Louis A / Takemura, Satoko / Talebi, Iris / Thomson, Alexander / Trautman, Eric T / Umayam, Lowell / Walsh, Claire / Walsh, John J / Xu, C Shan / Yakal, Emily A / Yang, Tansy / Zhao, Ting / Funke, Jan / George, Reed / Hess, Harald F / Jefferis, Gregory S X E / Knecht, Christopher / Korff, Wyatt / Plaza, Stephen M / Romani, Sandro / Saalfeld, Stephan / Scheffer, Louis K / Berg, Stuart / Rubin, Gerald M / Reiser, Michael B

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, ... ...

    Abstract Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial features requires a large and diverse network of neurons, such that in animals as distant as flies and humans, visual regions comprise half the brain's volume. These visual brain regions often reveal remarkable structure-function relationships, with neurons organized along spatial maps with shapes that directly relate to their roles in visual processing. To unravel the stunning diversity of a complex visual system, a careful mapping of the neural architecture matched to tools for targeted exploration of that circuitry is essential. Here, we report a new connectome of the right optic lobe from a male Drosophila central nervous system FIB-SEM volume and a comprehensive inventory of the fly's visual neurons. We developed a computational framework to quantify the anatomy of visual neurons, establishing a basis for interpreting how their shapes relate to spatial vision. By integrating this analysis with connectivity information, neurotransmitter identity, and expert curation, we classified the ~53,000 neurons into 727 types, about half of which are systematically described and named for the first time. Finally, we share an extensive collection of split-GAL4 lines matched to our neuron type catalog. Together, this comprehensive set of tools and data unlock new possibilities for systematic investigations of vision in Drosophila, a foundation for a deeper understanding of sensory processing.
    Sprache Englisch
    Erscheinungsdatum 2024-06-01
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2024.04.16.589741
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

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