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Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
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Accession:
195615
"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. ..."
Reference:
1 .
Neymotin SA, Suter BA, Dura-Bernal S, Shepherd GM, Migliore M, Lytton WW (2017) Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.
J Neurophysiol
117
:148-162
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Neocortex;
Cell Type(s):
Neocortex M1 L5B pyramidal pyramidal tract GLU cell;
Neocortex primary motor area pyramidal layer 5 corticospinal cell;
Channel(s):
I A;
I h;
I_KD;
I K,Ca;
I L high threshold;
I Na,t;
I N;
Ca pump;
Kir;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Python;
Model Concept(s):
Parameter Fitting;
Activity Patterns;
Active Dendrites;
Detailed Neuronal Models;
Simplified Models;
Implementer(s):
Suter, Benjamin ;
Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org];
Dura-Bernal, Salvador [salvadordura at gmail.com];
Forzano, Ernie ;
Search NeuronDB
for information about:
Neocortex M1 L5B pyramidal pyramidal tract GLU cell
;
I Na,t
;
I L high threshold
;
I N
;
I A
;
I h
;
I K,Ca
;
I_KD
;
Ca pump
;
Kir
;
Download the displayed file
/
spidemo
data
readme.html
cadad.mod
*
Other models using cadad.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
cal2.mod
*
Other models using cal2.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
can_mig.mod
*
Other models using can_mig.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
h_kole.mod
*
Other models using h_kole.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
kap_BS.mod
*
Other models using kap_BS.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
kBK.mod
*
Other models using kBK.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
kdmc_BS.mod
*
Other models using kdmc_BS.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
kdr_BS.mod
*
Other models using kdr_BS.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
misc.mod
*
Other models using misc.mod:
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
nax_BS.mod
*
Other models using nax_BS.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
savedist.mod
*
Other models using savedist.mod:
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)
vecst.mod
*
Other models using vecst.mod:
Boolean network-based analysis of the apoptosis network (Mai and Liu 2009)
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
Computational Surgery (Lytton et al. 2011)
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
Neuronal dendrite calcium wave model (Neymotin et al, 2015)
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
.gitattributes
archfig.py
axonMorph.py
BS0284.ASC
BS0409.ASC
conf.py
Fig6.py
figure_1.png
misc.h
morph.py
mosinit.py
PTcell.BS0284.cfg
*
Other models using PTcell.BS0284.cfg:
Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
PTcell.BS0409.cfg
PTcell.cfg
*
Other models using PTcell.cfg:
Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
sim.py
SPI6.cfg
SPI6.py
utils.py
exec(compile(open("Fig6.py", "rb").read(), "Fig6.py", 'exec'))
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