Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013)

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Accession:153355
"... To explore the relationship between conductances, and in particular how they influence the activity of motor neurons in the well characterized leech heartbeat system, we developed a new multi-compartmental Hodgkin-Huxley style leech heart motor neuron model. To do so, we evolved a population of model instances, which differed in the density of specific conductances, capable of achieving specific output activity targets given an associated input pattern. ... We found that the strengths of many conductances, including those with differing dynamics, had strong partial correlations and that these relationships appeared to be linked by their influence on heart motor neuron activity. Conductances that had positive correlations opposed one another and had the opposite effects on activity metrics when perturbed whereas conductances that had negative correlations could compensate for one another and had similar effects on activity metrics. "
Reference:
1 . Lamb DG, Calabrese RL (2013) Correlated conductance parameters in leech heart motor neurons contribute to motor pattern formation. PLoS One 8:e79267 [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;
Brain Region(s)/Organism: Leech;
Cell Type(s): Leech heart motor neuron (HE);
Channel(s): I Na,p; I A; I K; I K,leak; I K,Ca; I Sodium; I Calcium; I Na, leak;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: GENESIS;
Model Concept(s): Action Potential Initiation; Activity Patterns; Bursting; Temporal Pattern Generation; Detailed Neuronal Models; Parameter sensitivity; Conductance distributions;
Implementer(s): Lamb, Damon [Damon.Lamb at neurology.ufl.edu];
Search NeuronDB for information about:  I Na,p; I A; I K; I K,leak; I K,Ca; I Sodium; I Calcium; I Na, leak;
// genesis HE model v7.0
// CONSTANTS
// Edited by Damon Lamb - commenting and human formatting

// Reversal potentials in V
float	     ENa	     =	      0.045   // -.012
float	     EK1	     =	     -0.070
float	     EK2	     =	     -0.070
float	     EA 	     =	     -0.070
float	     ECaF	     =	      0.135   // 0.180
float	     ECaS	     =	      0.135   // 0.180
float	     EP 	     =	      0.045
float	     EP2	     =        0.045
float	     Eh 	     =	     -0.021  // -.046

// shifts in V
float	     nashft_X	     =	     -0.005   // -.005	units V
float	     nashft_Y	     =	     -0.005   // -.005	units V
float	     nashft_X1	     =	     -0.005   // -.005	units V
float	     nashft_Y1	     =	     -0.005   // -.005	units V
float	     k1shft1	     =	     -0.010   // -.01
float	     k1shft	     	 =	     -0.010   // -.01
float	     k2shft	         =	     -0.010   // -.01
float	     ashft	         =	     -0.010   // -.01
float	     CaSshft1	     =	      0
float	     CaSshft2	     =	      0
float	     HN1_CaSshft1    =	     -0.010
float	     HN1_CaSshft2    =	     -0.010
float	     CaFshft	     =	      0
float	     Pshft	         =	      0
float	     P2shft	         =        0
float	     CaSa	         =	     -400

/*
// Constants from runhn.g
float	     steph	         =	     0.5
float	     stepH	         =	     1e-10
float	     stepG	         =	     1e-9
int	     stepnashft          =	     50
int	     stepSynS2	         =	     1
int	     n		             =	     622
//int	     SynS3	         =	     50
*/