Multi-population Network Models of the Cortical Microcircuit

Conference paper

DOI: 10.1007/978-94-007-4792-0_13

Cite this paper as:
Potjans T.C., Diesmann M. (2013) Multi-population Network Models of the Cortical Microcircuit. In: Yamaguchi Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht

Abstract

In this paper, we investigate a data-based multi-population extension of the balanced random network model (BRN) (Amit DJ and Brunel N, Cereb Cortex 7:237–252, 1997; van Vreeswijk C and Sompolinsky H, Science 274:1724–1726, 1996). We observe that the findings based on the mono-layered network model, especially regarding the asynchronous irregular activity state, largely generalize to the multi-population model (MPM). In addition, the increased complexity of the network structure yields cell-type specific activity features which we relate to other data-based microcircuit models as well as to experimental data. We argue that the specificity of the connectivity between cell types is crucial to achieve consistency of simulated and in vivo activity.

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Institute of Neuroscience and Medicine (INM-6), Computational and Systems NeuroscienceResearch Center JuelichJuelichGermany
  2. 2.Brain and Neural Systems TeamRIKEN Computational Science Research ProgramSaitamaJapan
  3. 3.RIKEN Brain Science InstituteSaitamaJapan
  4. 4.Medical FacultyRWTH Aachen UniversityAachenGermany

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