LCN-HippoModel: model of CA1 PCs deep-superficial theta firing dynamics (Navas-Olive et al 2020)


Using a biophysically realistic model of CA1 pyramidal cells together with a combination of single-cell and multisite electrophysiological recordings, we have studied factors underlying the internal theta phase preference of identified cell types from the dorsal CA1. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial CA1 pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by nested waveforms demonstrated that firing selection is tuneable across sublayers under the relevant influence of intrinsic factors. Our data identify a set of testable physiological mechanisms underlying a phase specific firing reservoir that can be repurposed for high-level flexible dynamical representations. Documentation in https://acnavasolive.github.io/LCN-HippoModel/. More info: http://hippo-circuitlab.es/

Model Type: Neuron or other electrically excitable cell

Region(s) or Organism(s): Hippocampus

Cell Type(s): Hippocampus CA1 pyramidal GLU cell

Currents: I A; I h; I M; I Sodium; I Potassium; I Calcium; I_AHP; I T low threshold; I L high threshold; I K; I C

Receptors: Glutamate; GabaA

Transmitters: Glutamate; Gaba

Model Concept(s): Spatio-temporal Activity Patterns

Simulation Environment: NEURON; Python

Implementer(s): Navas-Olive, Andrea [acnavasolive at gmail.com]

References:

Navas-Olive A et al. (2020). Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations. Nature communications. 11 [PubMed]


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