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 *
HH.channel.description *
HH.channel.description.doc *
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 *
standardap original.TXT *
standardap.txt *
swim example.txt *
SWIM.channel *
SWIM.channel.description *
SWIM.channel.description.doc *
tooltip texte de.txt
tooltip texte en.txt
userDef SWIM kanal original.txt *
userDef SWIM kanal.knl
                            
/************************************************************************************************************************

	PROGRAM:	BIOSIM

	FILENAME:	SWIM.channel.description

	PURPOSE:	description of all parameters used in the SWIM.channel file
	
	47 parameter

************************************************************************************************************************/

SWIM_NA_E		- equilibrium potential of sodium channel
SWIM_NA_G		- conductance of sodium channel
SWIM_Form_Alpha_M	- form parameter for gate variable m, alpha term
SWIM_AalphaM		- rate constant
SWIM_V0alphaM		- half maximum potential
SWIM_BalphaM		- step width
SWIM_Form_Beta_M        - form parameter for gate variable m, beta term
SWIM_AbetaM		- rate constant
SWIM_V0betaM		- half maximum potential
SWIM_BbetaM		- step width
SWIM_M_POWER		- power of gate variable m
SWIM_M_INITIAL		- initial value of gate variable m
SWIM_Form_Alpha_H	- form parameter for gate variable h, alpha term
SWIM_AalphaH		- rate constant
SWIM_V0alphaH		- half maximum potential
SWIM_BalphaH		- step width
SWIM_Form_Beta_H        - form parameter for gate variable h, beta term
SWIM_AbetaH		- substitudes complete linoid term
SWIM_V0betaH		- half maximum potential
SWIM_BbetaH		- step width
SWIM_H_POWER		- power of gate variable h
SWIM_H_INITIAL		- initial value of gate variable h
SWIM_K_E		- equilibrium potential of potassium channel
SWIM_K_G		- conductance of potassium channel
SWIM_Form_Alpha_N	- form parameter for gate variable n, alpha term
SWIM_AalphaN		- rate constant
SWIM_V0alphaN		- half maximum potential
SWIM_BalphaN		- step width
SWIM_Form_Beta_N        - form parameter for gate variable n, beta term
SWIM_AbetaN		- rate constant
SWIM_V0betaN		- half maximum potential
SWIM_BbetaN		- step width
SWIM_N_POWER		- power of gate variable n
SWIM_N_INITIAL		- initial value of gate variable n
SWIM_CA_E		- equilibrium potential of calcium channel
SWIM_CA_G		- conductance of calcium channel
SWIM_Form_Alpha_C	- form parameter for gate variable c, alpha term
SWIM_AalphaC		- rate constant
SWIM_V0alphaC		- half maximum potential
SWIM_BalphaC		- step width
SWIM_Form_Beta_C        - form parameter for gate variable c, beta term
SWIM_AbetaC		- rate constant
SWIM_V0betaC		- half maximum potential
SWIM_BbetaC		- step width
SWIM_C_POWER		- power of gate variable c
SWIM_C_INITIAL		- initial value of gate variable c
SWIM_SPIKE_THRESHOLD	- spike threshold, used only for spike identification