Amyloid beta (IA block) effects on a model CA1 pyramidal cell (Morse et al. 2010)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:87284
The model simulations provide evidence oblique dendrites in CA1 pyramidal neurons are susceptible to hyper-excitability by amyloid beta block of the transient K+ channel, IA. See paper for details.
Reference:
1 . Morse TM, Carnevale NT, Mutalik PG, Migliore M, Shepherd GM (2010) Abnormal Excitability of Oblique Dendrites Implicated in Early Alzheimer's: A Computational Study. Front Neural Circuits [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): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I h; I K,Ca;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Pathophysiology; Aging/Alzheimer`s;
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu]; Morse, Tom [Tom.Morse at Yale.edu];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I h; I K,Ca;
/
CA1_abeta
translate
readme.html
cacumm.mod
cagk.mod *
cal2.mod *
can2.mod *
cat.mod *
distr.mod *
h.mod
ipulse2.mod *
kadist.mod
kaprox.mod
kdrca1.mod
na3n.mod
naxn.mod *
zcaquant.mod
aBeta.hoc
add_ca.hoc
bAP_peak_vecs.hoc
c91662.ses
C91662_Link.txt
cond_report.hoc
control_boxes.hoc
distribute_currents.hoc
fig1.jpg
fig2.jpg
fig2A_c91662.hoc
fig3.jpg
fig3.ses
fig4.jpg
fig4.ses
fig5.jpg
fig6b.jpg
figs.hoc
find_averages.hoc
fixnseg.hoc
GaspiriniEtAl2007Fig1Stimulation.ses
generate_conc_graph.hoc
gka_averager.hoc
graph_na3_kinetics.hoc
init_and_run_and_graph.hoc
leaky_distal.hoc
maxica.hoc
maxica.ses.20100525
mosinit.hoc
na3_shifter.hoc
ntc_additions.hoc
oblique_application.hoc
oblique_scaled_ka.hoc
obliques_primary_tuft.hoc
paper_fig_buttons.hoc
sectiontest.hoc
shrink_obliques.hoc
SubBranch.hoc
trigger_and_start.hoc
wait_for_go.hoc
                            
objectvar save_window_, rvp_
objectvar scene_vector_[14]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
save_window_ = new PlotShape(0)
save_window_.size(-270,740,-333.254,513.254)
save_window_.variable("v")
scene_vector_[8] = save_window_
{save_window_.view(-270, -333.254, 1010, 846.507, 592, 155, 600, 503.68)}
}
{
save_window_ = new PlotShape(0)
save_window_.size(-221.531,690.229,-199.643,380.303)
save_window_.variable("v")
scene_vector_[12] = save_window_
{save_window_.view(-221.531, -199.643, 911.759, 579.946, 287, 612, 501.12, 317.44)}
fast_flush_list.append(save_window_)
save_window_.save_name("fast_flush_list.")
}
{
save_window_ = new Graph(0)
save_window_.size(0,900,-80,40)
scene_vector_[13] = save_window_
{save_window_.view(0, -80, 900, 120, 414, 63, 471.36, 256.96)}
flush_list.append(save_window_)
save_window_.save_name("flush_list.")
objectvar rvp_
rvp_ = new RangeVarPlot("v")
apic[0] rvp_.begin(0)
apic[43] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 2, 1, 0.8, 0.9)
objectvar rvp_
rvp_ = new RangeVarPlot("v")
apic[0] rvp_.begin(0)
apic[53] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 3, 1, 0.8, 0.9)
objectvar rvp_
rvp_ = new RangeVarPlot("v")
apic[0] rvp_.begin(0)
apic[76] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 4, 1, 0.8, 0.9)
objectvar rvp_
rvp_ = new RangeVarPlot("v")
apic[0] rvp_.begin(0)
apic[121] rvp_.end(1)
rvp_.origin(0)
save_window_.addobject(rvp_, 5, 1, 0.8, 0.9)
}
objectvar scene_vector_[1]
{doNotify()}

Loading data, please wait...