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.
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Acknowledgments
Partially supported by the Next-Generation Supercomputer Project of the Ministry of education, culture, sports, science and technology (MEXT) (Japan), the Helmholtz Alliance on Systems Biology, JUGENE grant JINB33 and EU Grant 269921 (BrainScaleS).
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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. https://doi.org/10.1007/978-94-007-4792-0_13
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DOI: https://doi.org/10.1007/978-94-007-4792-0_13
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