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