Neurocal: LG-All.m - File Exchange

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Highlights from
Neurocal

Ansoft2FEA(varargin)
FEA_Ve(varargin) xmean=mean(minmax);
Find_Ith_GUI(varargin)
gui_Iexstim(varargin)
gui_Iinstim(varargin)
gui_channel(varargin)
gui_environment(varargin)
gui_time(varargin)
neuroFEM(varargin) figure
neuroFEM_ana(varargin) This function is called by NeuroFEA. It allows you to choose and plot Ve of any axon loaded in NeuroFEA.
varargout=gui_var(varargin) if isempty(zeng2.var{varnumber}.Ilk) %Defined in Insert
zexst(varargin) FEA_Ve
zview3d(varargin)
FEA_Ve_HFBlock(varargin) find the high frequency blocking threshold for the below model file.
Find_Ith(varargin)
Gate_Trap(oldgate,dt,alfa,bet...
HFblock_th(varargin) find the high frequency blocking threshold for the below model file.
Iexstim(xyz,varargin)
Iinstim(name,node,varargin)
STN_Otsuka(varargin)
[Amplitude]=Douple_Pulse(t) Input
[Amplitude]=Isin(t) Input
[Amplitude]=Isin(t) Input
[Amplitude]=Isintha(t) Input
[Amplitude]=Isinthc(t) Input
[Amplitude]=SquarePulse(t) Input
[Amplitude]=SquarePulse(t) Input
[Amplitude]=SquarePulse(t) Input
[G,E,constant_G,constant_E]=c...
[Vout]=V_backward(vm,dt,stimV... zeng.dummyvm(:,i),dt,stimVe,StimIin,zeng.setup.lamda_dt_matrix,Gamma_dt,Omega_dt
[hd]=fea_yz
[varlist]=showglobal
[xyz] =setxyz(xyzi,xyzc,L,nse... xyzi=vector
[xyzd, Axons_Number, Bin_Size...
apply
connect( name1,node1p,name2,n...
create(name,varargin)
create_StimVe
create_dummymodel
create_dummyvar zeng2.dummyvar is used during the calculation and will be deleted when the
create_initial(varargin) Let's do all stupid things before starting the simulation
create_matrix
create_setting
create_stimIin
fea_import
fea_ve(VariableName,varargin)
hh(varargin)
insert(name,newmodel)
schwarz(varargin)
zcal_I
zdummy_return
zrun(varargin) the performance can be increased by precombining some operations.
Ex_01_simple_soma.m
Ex_02_simple_dendrite.m
Ex_03_simple_axon.m
Ex_04_axon_with_myelin.m
Ex_05_axon_with_finite_myelin...
Ex_06_Iext_axon.m
Ex_07_Iext_axon_with_myelin.m
Ex_07_Iext_axon_with_myelin_b...
Ex_08_Simple_Neuron.m
Ex_08_Simple_Neuron_Iext.m
FEA_Iext_axon_with_myelin.m
FEA_Iext_axon_with_myelin_bip...
FEA_Iext_axon_with_myelin_bip...
FEA_Ve_recruitment.m
FindIth.m
FindIth_Iext_axon.m
FindIth_Iext_axon_C1A2.m
FindIth_Iext_axon_C2A3.m
FindIth_Iext_axon_Infinite_Ar...
LG-1-4.m
LG-2-4.m
LG-3-4-Soleus.m
LG-4-4.m
LG-All.m
LGM-1-4.m
LGM-2-4.m
LGM-3-4-Soleus.m
LGM-4-4.m
One-10.m
Peak_Fe.m
S2-Ven-Young-Left.m
S3-Ven-Young-Left.m
S3-Ven-Young-Right.m
Uniform.m
Uniform100.m
Uniform20.m
Uniform200.m
Uniform300.m
Uniform400.m
Uniform77.m
Uniform770.m
neurocal.m
show.m
test.m
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from Neurocal by Zeng Lertmanorat
Simulation describing the electrical activity of nerve cell (neuron) by solving cable equation

LG-All.m
3.5 3 4 11 4.5 16 5 42 5.5 55 6 67 6.5 72 7 54 7.5 31 8 22 8.5 39 9 65 9.5 68 10 100 10.5 103 11 94 11.5 72 12 66 12.5 65 13 32 13.5 21 14 5 14.5 0 15 1

Highlights from Neurocal

Highlights from
Neurocal