代码搜索：Spiking
找到约 18 项符合「Spiking」的源代码
代码结果 18
www.eeworm.com/read/385314/8809629
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/371706/9540987
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/139775/13135033
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/300891/13883411
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/233013/14173838
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/222424/14691969
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/300465/13912140
m spiking.m
function [f,o] = spiking(d,NF,mu);
%SPIKING: Spiking deconvolution using Levinson's recursion
%
% [f,o] = spiking(d,NF,mu)
%
% IN d: data (a column trace)
% NF: lenght of the spiking
www.eeworm.com/read/396894/8083725
m contents.m
% Two node simulation package - Contents
%
% Contents.m - this file
% Tutorial.m - brief tutorial. type 'help Tutorial'
%
% -------------Matlab m-files
%
% autotuner.m - find optimal satmax an
www.eeworm.com/read/485270/6557063
m izh_single_neuron_tonic_rk.m
function x = izh_single_neuron_tonic_RK (I_ext)
a=0.02; b=0.2; c=-65; d=6;
V=-70; u=b*V;
VV=[]; uu=[];
tau = 0.01; tau1=.01; tspan = 0:tau:30;
T1=tspan(end)/10;
for t=tspan
if (t>T1)
www.eeworm.com/read/396894/8083767
m spikesim.m
%spikesim - simulate the two-node spiking network
%
% [gsx, gsy, t] = spikesim( f1, f2 ) simulates
% two-interval discrimination task in the spiking
% two-node network with first stimulus 'f1' a