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

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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.
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;
Gap Junctions:
Simulation Environment: MadSim;
Model Concept(s): Detailed Neuronal Models; Invertebrate; Synaptic Integration;
Implementer(s): Mader, Wolfgang [wolfgang.mader at uni-ulm.de];
! bloss oinr.knl *
1 kanal.knl *
dialog texte de.txt
dialog texte en.txt
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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
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izhikevich-typen.txt *
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meldung texte de.txt
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ONOFF.channel *
ONOFF.channel.description *
ONOFF.channel.description.doc *
reizFuerServerBetrieb kurz.txt *
reizFuerServerBetrieb original.txt *
reizFuerServerBetrieb.txt *
standardap 2000ms.TXT *
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SWIM.channel *
SWIM.channel.description *
SWIM.channel.description.doc *
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userDef SWIM kanal original.txt *
userDef SWIM kanal.knl


	FILENAME:	HH.channel.description

	PURPOSE:	description of all parameters used in the HH.channel file

	35 parameter


HH_NA_E			- equilibrium potential of sodium channel
HH_NA_G			- conductance of sodium channel
HH_K_E			- equilibrium potential of potassium channel
HH_K_G			- conductance of potassium channel
HH_Form_Alpha_M		- form parameter for gate variable m, alpha term
HH_AalphaM		- rate constant
HH_V0alphaM		- half maximum potential
HH_BalphaM		- step width
HH_Form_Beta_M		- form parameter for gate variable m, beta term
HH_AbetaM		- rate constant
HH_V0betaM		- half maximum potential
HH_BbetaM		- step width
HH_M_POWER		- power of gate variable m
HH_M_INITIAL		- initial value of gate variable m
HH_Form_Alpha_H		- form parameter for gate variable h, alpha term
HH_AalphaH		- rate constant
HH_V0alphaH		- half maximum potential
HH_BalphaH		- step width
HH_Form_Beta_H		- form parameter for gate variable h, beta term
HH_AbetaH		- rate constant
HH_V0betaH		- half maximum potential
HH_BbetaH		- step width
HH_H_POWER		- power of gate variable h
HH_H_INITIAL		- initial value of gate variable h
HH_Form_Alpha_N		- form parameter for gate variable n, alpha term
HH_AalphaN		- rate constant
HH_V0alphaN		- half maximum potential
HH_BalphaN		- step width
HH_Form_Beta_N		- form parameter for gate variable n, beta term
HH_AbetaN		- rate constant
HH_V0betaN		- half maximum potential
HH_BbetaN		- step width
HH_N_POWER		- power of gate variable n
HH_N_INITIAL		- initial value of gate variable n
HH_SPIKE_THRESHOLD	- spike threshold, used only for spike identification