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  Two-way communication with neural networks in vivo using focused light

Wilson, N. R., Schummers, J., Runyan, C. A., Yan, S. X., Chen, R. E., Deng, Y., et al. (2013). Two-way communication with neural networks in vivo using focused light. Nature Protocols, 8(6), 1184-203. doi:10.1038/nprot.2013.063.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-0E15-8 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-0E17-4
Genre: Zeitschriftenartikel

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 Urheber:
Wilson, N. R., Autor
Schummers, J.1, Autor
Runyan, C. A., Autor
Yan, S. X., Autor
Chen, R. E., Autor
Deng, Y., Autor
Sur, M., Autor
Affiliations:
1Max Planck Florida Institute for Neuroscience, Max Planck Society, One Max Planck Way, Jupiter FL 33458, USA, ou_1950288              

Inhalt

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Schlagwörter: Animals Light/*diagnostic use Mice Microscopy/methods Nerve Net/*physiology Neurons/physiology/*radiation effects Photic Stimulation Rhodopsin/metabolism Visual Cortex/*physiology
 Zusammenfassung: Neuronal networks process information in a distributed, spatially heterogeneous manner that transcends the layout of electrodes. In contrast, directed and steerable light offers the potential to engage specific cells on demand. We present a unified framework for adapting microscopes to use light for simultaneous in vivo stimulation and recording of cells at fine spatiotemporal resolutions. We use straightforward optics to lock onto networks in vivo, to steer light to activate circuit elements and to simultaneously record from other cells. We then actualize this 'free' augmentation on both an 'open' two-photon microscope and a leading commercial one. By following this protocol, setup of the system takes a few days, and the result is a noninvasive interface to brain dynamics based on directed light, at a network resolution that was not previously possible and which will further improve with the rapid advance in development of optical reporters and effectors. This protocol is for physiologists who are competent with computers and wish to extend hardware and software to interface more fluidly with neuronal networks.

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Sprache(n):
 Datum: 2013
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/nprot.2013.063
URI: http://www.ncbi.nlm.nih.gov/pubmed/23702834
 Art des Abschluß: -

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Titel: Nature Protocols
  Kurztitel : Nat. Protoc.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 8 (6) Artikelnummer: - Start- / Endseite: 1184 - 203 Identifikator: ISSN: 1750-2799
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000223800_1