A model of the femur-tibia control system in stick insects (Stein et al. 2008)

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Accession:118092
We studied the femur-tibia joint control system of the insect leg, and its switch between resistance reflex in posture control and "active reaction" in walking. The "active reaction" is basically a reversal of the resistance reflex. Both responses are elicited by the same sensory input and the same neuronal network (the femur-tibia network). The femur-tibia network was modeled by fitting the responses of model neurons to those obtained in animals. Each implemented neuron has a physiological counterpart. The strengths of 16 interneuronal pathways that integrate sensory input were then assigned three different values and varied independently, generating a database of more than 43 million network variants. The uploaded version contains the model that best represented the resistance reflex. Please see the README for more help. We demonstrate that the combinatorial code of interneuronal pathways determines motor output. A switch between different behaviors such as standing to walking can thus be achieved by altering the strengths of selected sensory integration pathways.
Reference:
1 . Stein W, Straub O, Ausborn J, Mader W, Wolf H (2008) Motor pattern selection by combinatorial code of interneuronal pathways. J Comput Neurosci 25:543-61 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Synapse;
Brain Region(s)/Organism:
Cell Type(s): Stick insect nonspiking interneuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MadSim;
Model Concept(s): Detailed Neuronal Models; Invertebrate; Synaptic Integration;
Implementer(s): Mader, Wolfgang [wolfgang.mader at uni-ulm.de];
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madSim4.5
parameter
Rueckkopplungs-Objekte-Dateien
! bloss oinr.knl *
1 kanal.knl *
akt+inakt.knl
dialog texte de.txt
dialog texte en.txt
dialog texte en_alt.txt
Diffgleichungen_in_madSim.pdf
GB.channel *
GB.channel.description *
GB.channel.description.doc *
gb-parameter.txt *
gb-parameter.xls *
HH.channel *
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ioTabelle langsam.txt *
ioTabelle normal.txt *
ioTabelle test.txt
ioTabelle.txt *
izhikevich-typen.txt *
izhikevich-typen.txt.orig *
meldung texte de.txt
meldung texte en.txt
neuronParameter.xls
ONOFF.channel *
ONOFF.channel.description *
ONOFF.channel.description.doc *
ONOFF.NEU *
reizFuerServerBetrieb kurz.txt *
reizFuerServerBetrieb original.txt *
reizFuerServerBetrieb.txt *
Rueckkopplungs-Objekte.htm
STANDARD.CA *
STANDARD.GEN *
STANDARD.K *
STANDARD.NA *
STANDARD.NEU *
STANDARD.ON *
standardap 2000ms.TXT *
standardap 200ms.txt *
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swim example.txt *
SWIM.channel *
SWIM.channel.description *
SWIM.channel.description.doc *
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userDef SWIM kanal original.txt *
userDef SWIM kanal.knl
                            
std parameter für mod. hodgkin-huxley-modell 59=0.05
std parameter für mod. hodgkin-huxley-modell 60=1e-006
std parameter für mod. hodgkin-huxley-modell 61=12
std parameter für mod. hodgkin-huxley-modell 62=200000
std parameter für mod. hodgkin-huxley-modell 63=-0.04
std parameter für mod. hodgkin-huxley-modell 64=0.001
std parameter für mod. hodgkin-huxley-modell 65=13
std parameter für mod. hodgkin-huxley-modell 66=60000
std parameter für mod. hodgkin-huxley-modell 67=-0.049
std parameter für mod. hodgkin-huxley-modell 68=0.02
std parameter für mod. hodgkin-huxley-modell 69=3
std parameter für mod. hodgkin-huxley-modell 70=0
std parameter für mod. hodgkin-huxley-modell 71=13
std parameter für mod. hodgkin-huxley-modell 72=80000
std parameter für mod. hodgkin-huxley-modell 73=-0.04
std parameter für mod. hodgkin-huxley-modell 74=0.001
std parameter für mod. hodgkin-huxley-modell 75=23
std parameter für mod. hodgkin-huxley-modell 76=400
std parameter für mod. hodgkin-huxley-modell 77=-0.036
std parameter für mod. hodgkin-huxley-modell 78=0.002
std parameter für mod. hodgkin-huxley-modell 79=1
std parameter für mod. hodgkin-huxley-modell 80=1
std parameter für mod. hodgkin-huxley-modell 81=-0.09
std parameter für mod. hodgkin-huxley-modell 82=6e-007
std parameter für mod. hodgkin-huxley-modell 83=12
std parameter für mod. hodgkin-huxley-modell 84=20000
std parameter für mod. hodgkin-huxley-modell 85=-0.031
std parameter für mod. hodgkin-huxley-modell 86=0.0008
std parameter für mod. hodgkin-huxley-modell 87=13
std parameter für mod. hodgkin-huxley-modell 88=5000
std parameter für mod. hodgkin-huxley-modell 89=-0.028
std parameter für mod. hodgkin-huxley-modell 90=0.0004
std parameter für mod. hodgkin-huxley-modell 91=4
std parameter für mod. hodgkin-huxley-modell 92=0
std parameter für mod. hodgkin-huxley-modell 93=0.15
std parameter für mod. hodgkin-huxley-modell 94=1e-008
std parameter für mod. hodgkin-huxley-modell 95=12
std parameter für mod. hodgkin-huxley-modell 96=80000
std parameter für mod. hodgkin-huxley-modell 97=0.01
std parameter für mod. hodgkin-huxley-modell 98=0.011
std parameter für mod. hodgkin-huxley-modell 99=13
std parameter für mod. hodgkin-huxley-modell 100=1000
std parameter für mod. hodgkin-huxley-modell 101=0.01
std parameter für mod. hodgkin-huxley-modell 102=0.0005
std parameter für mod. hodgkin-huxley-modell 103=5
std parameter für mod. hodgkin-huxley-modell 104=0
std parameter für mod. hodgkin-huxley-modell 105=-0.04