Anmerkungen:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Beschreibung:
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.