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  Understanding neural circuit development through theory and models

Richter, L. M., & Gjorgjieva, J. (2017). Understanding neural circuit development through theory and models. Current Opinion in Neurobiology, 46, 39-47. doi:10.1016/j.conb.2017.07.004.

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 Urheber:
Richter, L. M. 1, Autor
Gjorgjieva, Julijana2, Autor           
Affiliations:
1Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max-von-Laue-Str. 4, 60438 Frankfurt, Germany; School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising, Germany electronical address: gjorgjieva.julijana@brain.mpg.de, ou_persistent22              
2Computation in Neural Circuits Group, Max Planck Institute for Brain Research; School of Life Sciences Weihenstephan, Technical University of Munich, 85354 Freising electronical address: julijana.gjorgjieva@brain.mpg.de, ou_persistent22              

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 Zusammenfassung: How are neural circuits organized and tuned to achieve stable function and produce robust behavor? The organization process begins early in development and involves a diversity of mechamisms unique to this period. We summarize recent process in theoretical neuroscience that has substantially contributed to our understanding of development at the single neuron, synaptic and network level. We go beyond classical models of topographic map formation, and focus on the generation of complex spatiotemporal activity patterns, their role in refinements of particular circuit features, and the emergence of functional computations. Aided by the development of novel quantitative methods for data analysis, theory and computational models have enabled us to test the adequacy of specific assumptions, explain experimental data and propose testable hypotheses. With the accumulation of experimental data, theory and models will likely play an even more important role in understanding the development of neural circuits.

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Sprache(n): eng - English
 Datum: 2017-08-012017-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.conb.2017.07.004
PMID: 28777957
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Titel: Current Opinion in Neurobiology
  Andere : Curr. Opin.Neurobiol.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 46 Artikelnummer: - Start- / Endseite: 39 - 47 Identifikator: ISSN: 0959-4388
CoNE: https://pure.mpg.de/cone/journals/resource/954925578066