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, Kotaleski JH, Grillner S (2014) Gating of steering signals through phasic modulation of reticulospinal neurons during locomotion PNAS 111(9):3591-3596 [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;
//genesis
//
// cell.p - template neuron prototype
//
// Reduction of the original model by 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).
//
// The cell morphology is simplified in that the small adjacent membrane
// compartments are lumped together to make longer cylinders. Cell membrane
// of the simplified model contains 16 compartments: soma, axon initial
// segment, 2 primary, 4 secondary and 8 tertiary dendrites.

*relative
*cartesian
*asymmetric

*set_compt_param EREST_ACT -0.078
*set_compt_param ELEAK -0.078
   
*set_global RA 1 
*set_global RM 1
*set_global CM 0.01 

*start_cell /library/soma
 soma none 0 0 20 20 Na 320 Ks 40 Kt 50 CaN 80 CaN_pool -1.25e5 KCaN 60 CaL 4 Na_pool -5e11 Na_slow_pool -3e9 KNa 50 KNa_slow 5.2 Glyc -1e-9 AMPA -0.25e-9 NMDA -0.12e-9
*makeproto /library/soma

*start_cell /library/iseg
 iseg none 0 0 50 5 shNa 20000 Kt 6000 
*makeproto /library/iseg

*start_cell /library/prim_dend
 prim_dend none 90 0 0 5 Na 320 Ks 40 Kt 20 CaN 80 CaN_pool -1.25e5 KCaN 600 CaL 2 CaLVA 575 Na_pool -5e11 Na_slow_pool -3e9 KNa 150 KNa_slow 52 Glyc -1e-9 AMPA -0.25e-9 NMDA -0.12e-9
*makeproto /library/prim_dend

*start_cell /library/secn_dend
 secn_dend none 150 0 0 3 Na 320 Ks 40 Kt 20 CaN 80 CaN_pool -1.25e5 KCaN 600 CaL 2 CaLVA 575 Na_pool -5e11 Na_slow_pool -3e9 KNa 150 KNa_slow 52 AMPA -0.25e-9 NMDA -0.12e-9
*makeproto /library/secn_dend

*start_cell /library/tert_dend
 tert_dend none 240 0 0 2 Na 320 Ks 40 Kt 20 CaN 80 CaN_pool -1.25e5 KCaN 600 CaL 2 CaLVA 575 Na_pool -5e11 Na_slow_pool -3e9 KNa 150 KNa_slow 52 AMPA -0.25e-9 NMDA -0.12e-9
*makeproto /library/tert_dend

*start_cell
*compt /library/soma
 soma none 0 0 20 20

*compt /library/iseg
 iseg soma 0 0 50 5

*compt /library/prim_dend
 prox1 soma 90 0 0 5
 prox2 soma 90 0 0 5

*compt /library/secn_dend
 medi1 prox1 150 0 0 3
 medi2 prox1 150 0 0 3
 medi3 prox2 150 0 0 3
 medi4 prox2 150 0 0 3

*compt /library/tert_dend
 dist1 medi1 240 0 0 2
 dist2 medi1 240 0 0 2
 dist3 medi2 240 0 0 2
 dist4 medi2 240 0 0 2
 dist5 medi3 240 0 0 2
 dist6 medi3 240 0 0 2
 dist7 medi4 240 0 0 2
 dist8 medi4 240 0 0 2

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