Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)

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Accession:148035
Development of spiking grid cells and place cells in the entorhinal-hippocampal system to represent positions in large spaces
Reference:
1 . Pilly PK, Grossberg S (2013) Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells PLOS One 8(4):e60599
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse; Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal cell; Hippocampus CA3 pyramidal cell; Entorhinal cortex stellate cell;
Channel(s): I Cl, leak;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA; Glutamate; Gaba;
Gene(s):
Transmitter(s): Gaba; Glutamate; Ions;
Simulation Environment: MATLAB;
Model Concept(s): Action Potential Initiation; Pattern Recognition; Activity Patterns; Ion Channel Kinetics; Oscillations; Detailed Neuronal Models; Synaptic Plasticity; Long-term Synaptic Plasticity; Synaptic Integration; Learning; Unsupervised Learning; Place cell/field; Connectivity matrix; Development; Brain Rhythms; Grid cell;
Implementer(s): Pilly, Praveen [praveen.pilly at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; Hippocampus CA3 pyramidal cell; GabaA; AMPA; NMDA; Glutamate; Gaba; I Cl, leak; Gaba; Glutamate; Ions;
This is the readme for the models associated with the paper:

Pilly PK, Grossberg S (2013) Spiking neurons in a hierarchical
self-organizing map model can learn to develop spatial and temporal
properties of entorhinal grid cells and hippocampal place cells PLOS
One 8(4):e60599

This is the matlab code that was used by the paper authors.

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