Multiscale approach to explore the relationships between connectivity and function in whole brain simulations

Diaz, Sandra; Kuhlen, Torsten W.; Nowke, Christian; Weyers, Benjamin; Morrison, Abigail; Hentschel, Bernd; Peyser, Alexander

doi:10.12751/nncn.bc2016.0059

Poster (Other)

FZJ-2016-05852

Multiscale approach to explore the relationships between connectivity and function in whole brain simulations

Diaz, S. (Corresponding author)FZJ* ; Nowke, C. (Corresponding author) ; Peyser, A.FZJ* ; Weyers, B. ; Hentschel, B. ; Morrison, A.FZJ* ; Kuhlen, T. W.

2016

HBP Summit 2016, Florence, Italy, 12 Oct 2016 - 14 Oct 2016 [10.12751/nncn.bc2016.0059]

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Please use a persistent id in citations: http://hdl.handle.net/2128/12715 doi:10.12751/nncn.bc2016.0059

Abstract: To better understand the relationship between connectivity and function in the brain at different scales, in this work we show the results of using point-neuron network simulations to complement connectivity information from whole brain simulations based on a dynamic neuron mass model. In our multiscale approach, we simulate a whole brain parcellated into 68 regions where each region is modeled as a dynamic neuron mass, and in parallel, we also model each region as small 200 point-neuron populations in NEST. Structural plasticity in NEST is then used to calculate inner connectivity of each region with the aid of an interactive tool designed for visualizing and steering the algorithm. Using this approach, the fitting and parameter space exploration times are reduced and a new way to explore the impact of connectivity in function at different scales is presented.

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Appears in the scientific report 2016

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OpenAccess