Salamander retinal ganglian cells: morphology influences firing (Sheasby, Fohlmeister 1999)

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Nerve impulse entrainment and other excitation and passive phenomena are analyzed for a morphologically diverse and exhaustive data set (n=57) of realistic (3-dimensional computer traced) soma-dendritic tree structures of ganglion cells in the tiger salamander (Ambystoma tigrinum) retina.
1 . Sheasby BW, Fohlmeister JF (1999) Impulse encoding across the dendritic morphologies of retinal ganglion cells. J Neurophysiol 81:1685-98 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Retina ganglion GLU cell;
Channel(s): I Na,t; I A; I K; I K,Ca; I Calcium;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Activity Patterns; Dendritic Action Potentials; Bursting; Coincidence Detection; Simplified Models; Active Dendrites; Influence of Dendritic Geometry; Detailed Neuronal Models; Axonal Action Potentials; Action Potentials; Calcium dynamics;
Implementer(s): Sheasby, Brent W ;
Search NeuronDB for information about:  Retina ganglion GLU cell; I Na,t; I A; I K; I K,Ca; I Calcium;
objectvar save_window_, rvp_
objectvar scene_vector_[5]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
save_window_ = new Graph(0)
scene_vector_[4] = save_window_
{save_window_.view(0, -80, 100, 120, 430, 569, 300.48, 200.32)}
save_window_.addvar("dend1[1].v( 0.5 )", 1, 1, 0.8, 0.9, 2)
save_window_ = new Graph(0)
scene_vector_[3] = save_window_
{save_window_.view(0, -80, 100, 120, 368, 471, 300.48, 200.32)}
save_window_.addvar("soma.v( 0.5 )", 1, 1, 0.8, 0.9, 2)
objectvar scene_vector_[1]

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