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

Development of spiking grid cells and place cells in the entorhinal-hippocampal system to represent positions in large spaces

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

Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Entorhinal cortex stellate cell

Currents: I Cl, leak

Receptors: GabaA; AMPA; NMDA; Glutamate; Gaba

Transmitters: Gaba; Glutamate; Ions

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

Simulation Environment: MATLAB

Implementer(s): Pilly, Praveen [praveen.pilly at gmail.com]


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 [PubMed]

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