Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Special issue from the 2017 International Conference of Mathematical Neuroscience

MPG-Autoren
/persons/resource/persons207974

Gjorgjieva,  Julijana
Computation in Neural Circuits Group, Max Planck Institute for Brain Research, Max Planck Society;

Externe Ressourcen

https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-018-0069-5
(beliebiger Volltext)

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

Kilpatrick, Z., Gjorgjieva, J., & Rosenbaum, R. (2019). Special issue from the 2017 International Conference of Mathematical Neuroscience. J. Math.Neurosci., 9(1). doi:10.1186/s13408-018-0069-5.


Zitierlink: https://hdl.handle.net/21.11116/0000-0006-06D2-6
Zusammenfassung
The ongoing acquisition of large and multifaced data sets in neuroscience requires new mathematical tools for quantitatively grounding these experimental findings. Since 2015, the International Conference on Mathematical Neuroscience (ICMNS) has provided a forum for researchers to discuss current mathematical innovations emerging in neuroscience. This special issue assembles currenct research ant tutorials that were presented at the 2017 ICMNS held in Boulder, Colorado from May 30 to June 2. Topics discussed at the meeting inlcude correlation analysis of network activity, information theory for plastic synapses, combinatorics for attractor neural networks, and novel data assimilation methods for neuroscience-all of which are represented in this special issue.