A model of peripheral lesions and the resulting activity-dependent rewiring in a simplified balanced cortical network model that exhibits biologically realistic Asynchronous Irregular (AI) activity, used to derive activity dependent growth rules for different synaptic elements: dendritic and axonal.
Model Type: Realistic Network
Cell Type(s): Abstract integrate-and-fire neuron
Model Concept(s): Pathophysiology; Structural plasticity; Neurite growth; Neurite loss; Homeostatic plasticity; Balanced networks
Simulation Environment: NEST
Implementer(s): Sinha, Ankur
References:
Sinha A et al. (2021). Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions PLoS Computational Biology.