- Poster presentation
- Open Access
Simulating structural plasticity of large scale networks in NEST
© Naveau and Butz-Ostendorf; licensee BioMed Central Ltd. 2014
- Published: 21 July 2014
- Electrical Activity
- Neuronal Network
- Dendritic Spine
- Neuron Model
- Growth Dynamic
The brain is much less hard-wired as traditionally thought. Permanently, new synapses are formed, existing synapses are deleted or connectivity rewires by re-routing axonal branches (structural plasticity). However, all current large-scale neuronal network models are hard-wired with plasticity merely arising from changes in the strength of existing synapses, therefore missing an important aspect of the plasticity of brain networks. This project is to develop the first large-scale neuronal network model with structural plasticity in the neuronal network simulator NEST  and to make it scalable for HPC.
This implementation of the MSP in NEST allows neuroscientists to address important scientific questions on how large-scale networks rewire their connectivity in response to distortions in electrical activity balances
This project is funded by the Helmholtz Association through the Helmholtz Portfolio Theme "Supercomputing and Modeling for the Human Brain".
- Gewaltig MO, Diesmann M: NEST (NEural Simulation Tool). Scholarpedia. 2007, 2 (4): 1440-View ArticleGoogle Scholar
- Butz M, van Ooyen A: A Simple Rule for Dendritic Spine and Axonal Bouton Formation Can Account for Cortical Reorganization after Focal Retinal Lesions. PLoS Comput Biol 9. 2013, 10: e1003259-10.1371/journal.pcbi.1003259.View ArticleGoogle Scholar
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