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Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)

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Accession:151338
" ... We use the lamprey as a model for investigating the role of this phasic modulation of the reticulospinal activity, because the brainstem–spinal cord networks are known down to the cellular level in this phylogenetically oldest extant vertebrate. We describe how the phasic modulation of reticulospinal activity from the spinal CPG ensures reliable steering/turning commands without the need for a very precise timing of on- or offset, by using a biophysically detailed large-scale (19,600 model neurons and 646,800 synapses) computational model of the lamprey brainstem–spinal cord network. To verify that the simulated neural network can control body movements, including turning, the spinal activity is fed to a mechanical model of lamprey swimming. ..."
Reference:
1 . Kozlov AK, Kardamakis AA, Hellgren Kotaleski J, Grillner S (2014) Gating of steering signals through phasic modulation of reticulospinal neurons during locomotion. Proc Natl Acad Sci U S A 111:3591-6 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse; Dendrite;
Brain Region(s)/Organism: Lamprey, Spinal cord, Brainstem;
Cell Type(s): Spinal lamprey neuron;
Channel(s): I Na,t; I A; I K; I K,Ca; I_Ks;
Gap Junctions:
Receptor(s): AMPA; NMDA; Glycine;
Gene(s):
Transmitter(s):
Simulation Environment: GENESIS;
Model Concept(s): Bursting; Temporal Pattern Generation; Oscillations; Synchronization; Spatio-temporal Activity Patterns; Detailed Neuronal Models; Spike Frequency Adaptation;
Implementer(s): Kozlov, Alexander [akozlov at nada.kth.se];
Search NeuronDB for information about:  AMPA; NMDA; Glycine; I Na,t; I A; I K; I K,Ca; I_Ks; 
This is the model associated with the paper:

    Kozlov A, Kardamakis A, Hellgren Kotaleski J, Grillner S
    (2014) Gating of steering signals through phasic modulation of
    reticulospinal neurons during locomotion. PNAS 111 (9):3591-3596,
    doi: 10.1073/pnas.1401459111.

This model was contributed by A. Kozlov.

Simulation of locomotor neuronal networks of lamprey [1] using
biologically detailed neuron model [2]. The simulation is based on the
segmental organisation of the spinal networks of lamprey [3] distributed
along the spinal cord to generate waves of left-right alternating activity
travelling from head to tail [4]. Supraspinal neural populations are added
to study propagation of steering commands, from tectum to locomotor CPG.

[1] Grillner S (2003) The motor infrastructure: from ion channels to
    neuronal networks. Nat Rev Neurosci 4(7):573-586.

[2] Huss M, Lansner A, Wallen P, El Manira A, Grillner S, Kotaleski JH.
    Roles of ionic currents in lamprey CPG neurons: a modeling study.
    J Neurophysiol. 2007 Apr;97(4):2696-711. Epub 2007 Feb 7. ModelDB
    accession number 93319.

[3] Hellgren J, Grillner S, Lansner A (1992) Computer simulation of the
    segmental neural network generating locomotion in lamprey by using
    populations of network interneurons. Biol Cybern. 68(1):1-13.

[4] Kozlov A, Huss M, Lansner A, Kotaleski JH, Grillner S (2009) Simple
    cellular and network control principles govern complex patterns of motor
    behavior. Proc Natl Acad Sci USA 106(47):20027-20032.


SYNOPSIS
	genesis  [GENESIS_FLAGS]  SCRIPT [OPTIONS]
	pgenesis [PGENESIS_FLAGS] SCRIPT [OPTIONS]

GENESIS_FLAGS
PGENESIS_FLAGS
	See GENESIS and PGENESIS documentation for available values.

OPTIONS
	-t SIMTIME	simulation time, in seconds
	-j INJECT	tectal stimulation, in Amperes
	-p PROTO	cell prototype file
	-h SIMDT	simulation time step, in seconds
	-randinit	randomize initial conditions
	-hsolve		use Hines solver
	-parallel NODES	number of nodes for parallel execution

FILES
	ouput		Empty directory for output data (must be created
			before running any script).

	Cell.g 		Example script to simulate single neuron. Output data
			is written to _spts.out (timing of the spike
			events, in seconds) and _vmts-0.out (soma membrane
			potential, in Volts).

	Pop.g 		Example script to simulate inhomogeneous population of
			neurons. Ouput data is in _spts.out (spikes)
			and _vmts-N.out (voltages, N is a cell number).

	Syn.g 		Example script to simulate two synapticaly coupled
			neuron populations.  Output data is in _spts.out
			(presynaptic spikes), _spmm.out (postsynaptic
			spikes), _vmts-N.out (presynaptic voltages)
			and _vmmm-M.out (postsynaptic voltages).

	Lamprey.g 	Main script to simulate activity of the locomotor
			CPG with supraspinal control.

EXAMPLES
	genesis Cell.g
	genesis Pop.g
	genesis Syn.g
	pgenesis -nox -nodes 768 -silent 3 Lamprey.g -hsolve -t 2.5 -j 0.55e-9 -parallel 768

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