Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)

Model for the following publication: Adam C. Frank, Shan Huang, Miou Zhou, Amos Gdalyahu, George Kastellakis, Panayiota Poirazi, Tawnie K. Silva, Ximiao Wen, Joshua T. Trachtenberg, and Alcino J. Silva Hotspots of Dendritic Spine Turnover Facilitate Learning-related Clustered Spine Addition and Network Sparsity

Model Type: Neuron or other electrically excitable cell; Connectionist Network

Cell Type(s): Abstract integrate-and-fire leaky neuron with dendritic subunits

Receptors: NMDA

Model Concept(s): Active Dendrites; Synaptic Plasticity

Simulation Environment: C or C++ program; MATLAB

Implementer(s): Kastellakis, George [gkastel at gmail.com]

References:

Frank AC et al. (2018). Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory. Nature communications. 9 [PubMed]