Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)

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


Sinha A et al. (2021). Growth Rules for the Repair of Asynchronous Irregular Neuronal Networks after Peripheral Lesions PLoS Computational Biology.

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