An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)

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A two population spiking continuous attractor model of grid cells. This model combines the attractor dynamics with theta-nested gamma oscillatory activity. It reproduces the behavioural response of grid cells (grid fields) in medial entorhinal cortex, while at the same time allowing for nested gamma oscillations of post-synaptic currents.
1 . Pastoll H, Solanka L, van Rossum MC, Nolan MF (2013) Feedback inhibition enables theta-nested gamma oscillations and grid firing fields. Neuron 77:141-54 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Entorhinal cortex;
Cell Type(s): Entorhinal cortex stellate cell;
Gap Junctions:
Receptor(s): GabaA; NMDA; Glutamate;
Transmitter(s): Gaba; Glutamate;
Simulation Environment: Brian; Python;
Model Concept(s): Oscillations; Attractor Neural Network; Grid cell;
Implementer(s): Solanka, Lukas [l.solanka at];
Search NeuronDB for information about:  GabaA; NMDA; Glutamate; Gaba; Glutamate;
Grid cell model

This archive contains a spiking continuous attractor model of grid cells found
in medial entorhinal cortex (MEC) of rodents. It was used for modeling the
theta-nested gamma activity and grid firing fields in MEC and the results have
been published in [PASTOLL2013]_. The code in this archive reproduces parts of
the figures found in the published article.

For installation and prerequisites necessary to run the model see the
INSTALL.rst file in this directory.

.. [PASTOLL2013] Pastoll, H., Solanka, L., van Rossum, M. C. W., & Nolan, M. F.
    (2013). Feedback inhibition enables theta-nested gamma oscillations and grid
    firing fields. Neuron, 77(1), 141–154. doi:10.1016/j.neuron.2012.11.032