Models that contain the Implementer : Milstein, Aaron D. [aaronmil at stanford.edu]

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    Models   Description
1.  Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
" ... Place fields could be produced in vivo in a single trial by potentiation of input that arrived seconds before and after complex spiking.The potentiated synaptic input was not initially coincident with action potentials or depolarization.This rule, named behavioral timescale synaptic plasticity, abruptly modifies inputs that were neither causal nor close in time to postsynaptic activation. ...", " ... To determine if the above plasticity rule could be observed under more realistic model conditions, we constructed and optimized a biophysically detailed model and attempted to fully account for the experimental data. ... "
2.  CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
Spatially uniform synaptic inhibition enhances spatial selectivity and temporal coding in CA1 place cells by suppressing broad out-of-field excitation.
3.  CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018)
This paper shows that persistent sodium current critically contributes to the subthreshold nonlinear dynamics of CA1 pyramidal neurons and promotes rapidly reversible conversion between place-cell and silent-cell in the hippocampus. A simple model built with realistic axo-somatic voltage-gated sodium channels in CA1 (Carter et al., 2012; Neuron 75, 1081–1093) demonstrates that the biophysics of persistent sodium current is sufficient to explain the synaptic amplification effects. A full model built previously (Grienberger et al., 2017; Nature Neuroscience, 20(3): 417–426) with detailed morphology, ion channel types and biophysical properties of CA1 place cells naturally reproduces the steep voltage dependence of synaptic responses.

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