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  EM connectomics reveals axonal target variation in a sequence-generating network

Kornfeld, J., Benezra, S. E., Narayanan, R. T., Svara, F. N., Egger, R., Oberlaender, M., et al. (2017). EM connectomics reveals axonal target variation in a sequence-generating network. eLife, 6: e24364. doi:10.7554/eLife.24364.

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 Urheber:
Kornfeld, Jörgen1, Autor           
Benezra, Sam E., Autor
Narayanan, Rajeevan T., Autor
Svara, Fabian N.1, Autor           
Egger, Robert, Autor
Oberlaender, Marcel, Autor
Denk, Winfried1, Autor           
Long, Michael A., Autor
Affiliations:
1Department: Electrons-Photons-Neurons / Denk, MPI of Neurobiology, Max Planck Society, ou_1128546              

Inhalt

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Schlagwörter: IDENTIFIED HVC NEURONS; ZEBRA FINCH; VISUAL-CORTEX; NUCLEUS HVC; RESOLUTION CONNECTOMICS; CORTICAL-NEURONS; IN-VIVO; SONG; MOTOR; MODELLife Sciences & Biomedicine - Other Topics;
 Zusammenfassung: The sequential activation of neurons has been observed in various areas of the brain, but in no case is the underlying network structure well understood. Here we examined the circuit anatomy of zebra finch HVC, a cortical region that generates sequences underlying the temporal progression of the song. We combined serial block-face electron microscopy with light microscopy to determine the cell types targeted by HVC(RA) neurons, which control song timing. Close to their soma, axons almost exclusively targeted inhibitory interneurons, consistent with what had been found with electrical recordings from pairs of cells. Conversely, far from the soma the targets were mostly other excitatory neurons, about half of these being other HVC(RA) cells. Both observations are consistent with the notion that the neural sequences that pace the song are generated by global synaptic chains in HVC embedded within local inhibitory networks.

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Sprache(n): eng - English
 Datum: 2017-03-27
 Publikationsstatus: Erschienen
 Seiten: 20
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 000399792700001
DOI: 10.7554/eLife.24364
 Art des Abschluß: -

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Titel: eLife
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge : eLife Sciences Publications
Seiten: - Band / Heft: 6 Artikelnummer: e24364 Start- / Endseite: - Identifikator: Anderer: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X