"... The present study concerns a neurobiologically based computational model of the emergence of theta phase precession in which the responses of a single model CA3 pyramidal cell are examined in the context of stimulation by realistic afferent spike trains including those of place cells in entorhinal cortex, dentate gyrus, and other CA3 pyramidal cells. Spike-timing dependent plasticity in the model CA3 pyramidal cell leads to a spatially correlated associational synaptic drive that subsequently creates a spatially asymmetric expansion of the model cell’s place field. ... Through selective manipulations of the model it is possible to decompose theta phase precession in CA3 into the separate contributing factors of inheritance from upstream afferents in the dentate gyrus and entorhinal cortex, the interaction of synaptically controlled increasing afferent drive with phasic inhibition, and the theta phase difference between dentate gyrus granule cell and CA3 pyramidal cell activity."
Model Type: Neuron or other electrically excitable cell
Cell Type(s): Hippocampus CA3 pyramidal GLU cell
Currents: I Na,p; I Na,t; I L high threshold; I N; I T low threshold; I A; I K,leak; I M; I h; I K,Ca; I Sodium; I Calcium; I Mixed; I Potassium
Receptors: GabaA; GabaB; AMPA; NMDA
Genes: NR2A GRIN2A
Transmitters: Acetylcholine; Gaba; Glutamate
Model Concept(s): Oscillations; Simplified Models; Active Dendrites; Detailed Neuronal Models; Synaptic Plasticity; Short-term Synaptic Plasticity; Long-term Synaptic Plasticity; Methods; Learning; Reinforcement Learning; STDP; Place cell/field; Calcium dynamics
Simulation Environment: C or C++ program; MATLAB
Implementer(s): Baker, John L [jbakerb at gmu.edu]
References:
Baker JL, Olds JL. (2007). Theta phase precession emerges from a hybrid computational model of a CA3 place cell. Cognitive neurodynamics. 1 [PubMed]