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

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.

Model Type: Realistic Network

Region(s) or Organism(s): Entorhinal cortex

Cell Type(s): Entorhinal cortex stellate cell

Receptors: GabaA; NMDA; Glutamate

Transmitters: Gaba; Glutamate

Model Concept(s): Oscillations; Attractor Neural Network; Grid cell

Simulation Environment: Brian; Python

Implementer(s): Solanka, Lukas [l.solanka at sms.ed.ac.uk]

References:

Pastoll H, Solanka L, van Rossum MC, Nolan MF. (2013). Feedback inhibition enables theta-nested gamma oscillations and grid firing fields. Neuron. 77 [PubMed]