Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)

To examine whether an oscillatory interference model of grid cell activity could work if the oscillators were noisy neurons, we implemented these simulations. Here the oscillators are networks (either synaptically- or gap-junction--coupled) of one or more noisy neurons (either Izhikevich's simple model or a Hodgkin-Huxley--type biophysical model) which drive a postsynaptic cell (which may be integrate-and-fire, resonate-and-fire, or the simple model) which should fire spatially as a grid cell if the simulation is successful.

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

Cell Type(s): Neocortex spiny stellate cell; Abstract integrate-and-fire leaky neuron

Currents: I Na,p; I Na,t; I K; I K,leak; I h

Model Concept(s): Oscillations; Synchronization; Simplified Models; Spike Frequency Adaptation; Grid cell

Simulation Environment: MATLAB

Implementer(s): Zilli, Eric [zilli at]


Zilli EA. (2010). Coupled Noisy Spiking Neurons as Velocity-Controlled Oscillators in a Model of Grid Cell Spatial Firing J. Neurosci.. 30(41)

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