Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONEN
  Dieser Datensatz wurde verworfen!FreigabegeschichteDetailsÜbersicht

Verworfen

Zeitschriftenartikel

Structural neurobiology: missing link to a mechanistic understanding of neural computation

MPG-Autoren
/persons/resource/persons39222

Helmstaedter,  Moritz
Research Group: Structure of Neocortical Circuits / Helmstaedter, MPI of Neurobiology, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Denk, W., Briggman, K. L., & Helmstaedter, M. (2012). Structural neurobiology: missing link to a mechanistic understanding of neural computation. NATURE REVIEWS NEUROSCIENCE, 13(5), 351-358. doi:10.1038/nrn3169.


Zusammenfassung
High-resolution, comprehensive structural information is often the final arbiter between competing mechanistic models of biological processes, and can serve as inspiration for new hypotheses. In molecular biology, definitive structural data at atomic resolution are available for many macromolecules; however, information about the structure of the brain is much less complete, both in scope and resolution. Several technical developments over the past decade, such as serial block-face electron microscopy and trans-synaptic viral tracing, have made the structural biology of neural circuits conceivable: we may be able to obtain the structural information needed to reconstruct the network of cellular connections for large parts of, or even an entire, mouse brain within a decade or so. Given that the brain's algorithms are ultimately encoded by this network, knowing where all of these connections are should, at the very least, provide the data needed to distinguish between models of neural computation.