We use a computational model of a network of Fast-Spiking Parvalbumin-positive Basket Cells to study its synchronizing properties. The intrinsic properties of neurons, properties of chemical synapses and of gap junctions are calibrated using electrophysiological recordings in mice Medial Entorhinal Cortex slices. The neurons synchronize, generating Fast Oscillations nested in an external theta drive. We show how gap junctions are necessary for the generation of the oscillations, how hyperpolarizing chemical synapses give rise to more robust fast oscillations, compared to shunting ones, and how short-term depression in the chemical synapses confine the fast oscillation on a narrow range of phases from the external theta drive.
Model Type: Connectionist Network
Region(s) or Organism(s): Entorhinal cortex; Mouse
Cell Type(s): Entorhinal cortex fast-spiking interneuron
Receptors: GabaA
Transmitters: Gaba
Model Concept(s): Brain Rhythms; Excitability; Gamma oscillations; Theta oscillations; Short-term Synaptic Plasticity
Simulation Environment: Brian 2
Implementer(s): Via, Guillem; Baravalle, Roman
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