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
- View all files
from
Neurocal
by Zeng Lertmanorat
Simulation describing the electrical activity of nerve cell (neuron) by solving cable equation |
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