A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)

 Download zip file 
Help downloading and running models
Accession:262187
A single-cell spiking model explaining the formation of grid-cell pattern in a feed-forward network. Patterns emerge via spatially-tuned feedforward inputs, synaptic plasticity, and spike-rate adaptation.
Reference:
1 . D'Albis T, Kempter R (2017) A single-cell spiking model for the origin of grid-cell patterns. PLoS Comput Biol 13:e1005782 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network;
Brain Region(s)/Organism: Entorhinal cortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python;
Model Concept(s): STDP; Synaptic Plasticity; Learning; Grid cell;
Implementer(s):
 
/
grid_origin-master
                            
File not selected

<- Select file from this column.
Loading data, please wait...