Muscle spindle feedback circuit (Moraud et al, 2016)

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Accession:189786
Here, we developed a computational model of the muscle spindle feedback circuits of the rat ankle that predicts the interactions between Epidural Stimulation and spinal circuit dynamics during gait.
Reference:
1 . Moraud EM, Capogrosso M, Formento E, Wenger N, DiGiovanna J, Courtine G, Micera S (2016) Mechanisms Underlying the Neuromodulation of Spinal Circuits for Correcting Gait and Balance Deficits after Spinal Cord Injury. Neuron 89:814-28 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Spinal motoneuron;
Cell Type(s): Spinal cord motor neuron slow twitch;
Channel(s): I K; I K,Ca; I Na,p; I Sodium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python;
Model Concept(s): Sensory processing; Neuromodulation;
Implementer(s): Capogrosso, Marco ; Formento, Emanuele ;
Search NeuronDB for information about:  I Na,p; I K; I K,Ca; I Sodium;
// All the numbers (except nIAf, nIIf and FromAll_IAf_ToOne_MN) are taken from Shuurmans 2007
// Tot number of cells
NetworkSize = 1

nMN = int(169*NetworkSize)
nIAf = int(60*NetworkSize) //Chin Cope & Pang 1962/Harrison 1981
nIIf = int(60*NetworkSize)
nIAint = int(196*NetworkSize)
nEXIN = int(196*NetworkSize)

// Tot number of synapses FromAll_CellA_ToOne_CellB

FromAll_IAf_ToOne_MN = int(nIAf)
FromAll_IAf_ToOne_IAint = int(62*NetworkSize)

FromAll_IIf_ToOne_EXIN = int(62*NetworkSize)
FromAll_IIf_ToOne_IAint = int(62*NetworkSize)

FromAll_IAint_ToOne_IAint = int(100*NetworkSize)
FromAll_IAint_ToOne_MN = int(232*NetworkSize)

FromAll_EXIN_ToOne_MN = int(116*NetworkSize)

// MotoNeuron dendrite number
ndend = 12

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