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

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

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Accession:150031

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.
Reference:
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]

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;
Channel(s):
Gap Junctions:
Receptor(s):	GabaA; NMDA; Glutamate;
Gene(s):
Transmitter(s):	Gaba; Glutamate;
Simulation Environment:	Brian; Python;
Model Concept(s):	Oscillations; Attractor Neural Network; Grid cell;
Implementer(s):	Solanka, Lukas [l.solanka at sms.ed.ac.uk];

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