Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.

@article{Neymotin2017OptimizingCM,
  title={Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.},
  author={Samuel A. Neymotin and Benjamin A. Suter and Salvador Dura-Bernal and Gordon M. G. Shepherd and Michele Migliore and William W. Lytton},
  journal={Journal of neurophysiology},
  year={2017},
  volume={117 1},
  pages={
          148-162
        }
}
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 (F-I) 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; and 2… 

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