Home > chronux_code > exploratory > correlations > hybrid > coherencysegcpb.m

coherencysegcpb

PURPOSE ^

Multi-taper coherency,cross-spectrum and individual spectra computed by segmenting two univariate time series into chunks - continuous and binned point process

SYNOPSIS ^

function [C,phi,S12,S1,S2,f,zerosp]=coherencysegcpb(data1,data2,win,tapers,pad,Fs,fpass,err,segave)

DESCRIPTION ^

 Multi-taper coherency,cross-spectrum and individual spectra computed by segmenting two univariate time series into chunks - continuous and binned point process

 Usage:
 [C,phi,S12,S1,S2,f,zerosp]=coherencysegcpb(data1,data2,tapers,nfft,Fs,fpass,err,trialave)
 Input: 
 Note units have to be consistent. See chronux.m for more information.
       data1 (column vector, continuous data) -- required
       data2 (column vector, binned point process data) -- required
       win   (length of segments) - required
       tapers (precalculated tapers from dpss, or in the form [NW K] e.g [3 5]) -- optional. If not 
                                                 specified, use [NW K]=[3 5]
        pad            (padding factor for the FFT) - optional. Defaults to 0.  
                       e.g. For N = 500, if PAD = 0, we pad the FFT 
                       to 512 points; if PAD = 2, we pad the FFT
                       to 2048 points, etc.
       Fs   (sampling frequency) - optional. Default 1.
       fpass    (frequency band to be used in the calculation in the form
                                   [fmin fmax])- optional. 
                                   Default all frequencies between 0 and Fs/2
       segave (average over segments for 1, don't average for 0)
 Output:
       C (abs of coherency as a function of frequency and segment index)
       phi (phase of coherency as a function of frequency and segment index)
       S12 (cross spectrum - frequencies x segments for no segment averaging)
       S1 (spectrum 1- frequencies x segments for no segment averaging)
       S2 (spectrum 2- frequencies x segments for no segment averaging)
       f (frequencies)
       zerosp (1 for trials where no spikes were found, 0 otherwise)

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function [C,phi,S12,S1,S2,f,zerosp]=coherencysegcpb(data1,data2,win,tapers,pad,Fs,fpass,err,segave)
0002 % Multi-taper coherency,cross-spectrum and individual spectra computed by segmenting two univariate time series into chunks - continuous and binned point process
0003 %
0004 % Usage:
0005 % [C,phi,S12,S1,S2,f,zerosp]=coherencysegcpb(data1,data2,tapers,nfft,Fs,fpass,err,trialave)
0006 % Input:
0007 % Note units have to be consistent. See chronux.m for more information.
0008 %       data1 (column vector, continuous data) -- required
0009 %       data2 (column vector, binned point process data) -- required
0010 %       win   (length of segments) - required
0011 %       tapers (precalculated tapers from dpss, or in the form [NW K] e.g [3 5]) -- optional. If not
0012 %                                                 specified, use [NW K]=[3 5]
0013 %        pad            (padding factor for the FFT) - optional. Defaults to 0.
0014 %                       e.g. For N = 500, if PAD = 0, we pad the FFT
0015 %                       to 512 points; if PAD = 2, we pad the FFT
0016 %                       to 2048 points, etc.
0017 %       Fs   (sampling frequency) - optional. Default 1.
0018 %       fpass    (frequency band to be used in the calculation in the form
0019 %                                   [fmin fmax])- optional.
0020 %                                   Default all frequencies between 0 and Fs/2
0021 %       segave (average over segments for 1, don't average for 0)
0022 % Output:
0023 %       C (abs of coherency as a function of frequency and segment index)
0024 %       phi (phase of coherency as a function of frequency and segment index)
0025 %       S12 (cross spectrum - frequencies x segments for no segment averaging)
0026 %       S1 (spectrum 1- frequencies x segments for no segment averaging)
0027 %       S2 (spectrum 2- frequencies x segments for no segment averaging)
0028 %       f (frequencies)
0029 %       zerosp (1 for trials where no spikes were found, 0 otherwise)
0030 
0031 if nargin < 3; error('Need data1 and data2 and size of segment'); end;
0032 if nargin < 4; tapers=[3 5]; end;
0033 if nargin < 5;pad=0;end;
0034 if nargin < 6; Fs=1; end;
0035 if nargin < 7; fpass=[0 Fs/2]; end;
0036 if isempty(tapers); tapers=[3 5]; end;
0037 if isempty(pad);pad=0;end;
0038 if isempty(Fs); Fs=1; end;
0039 if isempty(fpass); fpass=[0 Fs/2]; end;
0040 
0041 [N1,C1,N2,C2]=check_consistency(data1,data2);
0042 N=N1;
0043 dt=1/Fs; % sampling interval
0044 T=N*dt; % length of data in seconds
0045 E=[dt:win:T]; % fictitious event triggers
0046 win=[0 win]; % use window length to define left and right limits of windows around triggers
0047 data1=createdatamatc(data1,E,Fs,win); % segmented data 1
0048 data2=createdatamatpb(data2,E,Fs,win); % segmented data 2
0049 [C,phi,S12,S1,S2,f,zerosp]=coherencycpb(data1,data2,tapers,pad,Fs,fpass,0,segave); % compute coherency for segmented data

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