Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)


"Corticospinal neurons (SPI), thick-tufted pyramidal neurons in motor cortex layer 5B that project caudally via the medullary pyramids, display distinct class-specific electrophysiological properties in vitro: strong sag with hyperpolarization, lack of adaptation, and a nearly linear frequency-current (FI) relationship. We used our electrophysiological data to produce a pair of large archives of SPI neuron computer models in two model classes: 1. Detailed models with full reconstruction; 2. Simplified models with 6 compartments. We used a PRAXIS and an evolutionary multiobjective optimization (EMO) in sequence to determine ion channel conductances. ..."

Model Type: Neuron or other electrically excitable cell

Region(s) or Organism(s): Neocortex

Cell Type(s): Neocortex M1 L5B pyramidal pyramidal tract GLU cell; Neocortex primary motor area pyramidal layer 5 corticospinal cell

Currents: I A; I h; I_KD; I K,Ca; I L high threshold; I Na,t; I N; Ca pump; Kir

Model Concept(s): Parameter Fitting; Activity Patterns; Active Dendrites; Detailed Neuronal Models; Simplified Models

Simulation Environment: NEURON; Python

Implementer(s): Suter, Benjamin ; Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org]; Dura-Bernal, Salvador [salvadordura at gmail.com]; Forzano, Ernie

References:

Neymotin SA et al. (2017). Optimizing computer models of corticospinal neurons to replicate in vitro dynamics. Journal of neurophysiology. 117 [PubMed]


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