


 Multi-taper coherency,cross-spectrum and individual spectra with segmenting
   computed by segmenting two univariate time series into chunks - continuous and binned point process
 Usage:
 [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpb(data1,data2,win,params,segave,fscorr)
 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
       params: structure with fields tapers, pad, Fs, fpass, err
       - optional
           tapers : precalculated tapers from dpss or in the one of the following
                    forms: 
                   (1) A numeric vector [TW K] where TW is the
                       time-bandwidth product and K is the number of
                       tapers to be used (less than or equal to
                       2TW-1). 
                   (2) A numeric vector [W T p] where W is the
                       bandwidth, T is the duration of the data and p 
                       is an integer such that 2TW-p tapers are used. In
                       this form there is no default i.e. to specify
                       the bandwidth, you have to specify T and p as
                       well. Note that the units of W and T have to be
                       consistent: if W is in Hz, T must be in seconds
                       and vice versa. Note that these units must also
                       be consistent with the units of params.Fs: W can
                       be in Hz if and only if params.Fs is in Hz.
                       The default is to use form 1 with TW=3 and K=5
            pad            (padding factor for the FFT) - optional (can take values -1,0,1,2...). 
                    -1 corresponds to no padding, 0 corresponds to padding
                    to the next highest power of 2 etc.
                       e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT
                       to 512 points, if pad=1, we pad to 1024 points etc.
                       Defaults to 0.
           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
           err  (error calculation [1 p] - Theoretical error bars; [2 p] - Jackknife error bars
                                   [0 p] or 0 - no error bars) - optional. Default 0.
       segave (average over segments for 1, don't average for 0)
       fscorr   (finite size corrections, 0 (don't use finite size corrections) or 
                1 (use finite size corrections) - optional
                (available only for spikes). Defaults 0.
 Output:
       C (magnitude of coherency - frequencies x segments if segave=0; dimension frequencies if segave=1)
       phi (phase of coherency - frequencies x segments if segave=0; dimension frequencies if segave=1)
       S12 (cross spectrum -  frequencies x segments if segave=0; dimension frequencies if segave=1)
       S1 (spectrum 1 - frequencies x segments if segave=0; dimension frequencies if segave=1)
       S2 (spectrum 2 - frequencies x segments if segave=0; dimension frequencies if segave=1)
       f (frequencies)
       zerosp (1 for trials where no spikes were found, 0 otherwise)
       confC (confidence level for C at 1-p %) - only for err(1)>=1
       phistd - theoretical/jackknife (depending on err(1)=1/err(1)=2) standard deviation for phi
                Note that phi + 2 phistd and phi - 2 phistd will give 95% confidence
                bands for phi - only for err(1)>=1 
       Cerr  (Jackknife error bars for C - use only for Jackknife - err(1)=2)

0001 function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpb(data1,data2,win,params,segave,fscorr) 0002 % Multi-taper coherency,cross-spectrum and individual spectra with segmenting 0003 % computed by segmenting two univariate time series into chunks - continuous and binned point process 0004 % 0005 % Usage: 0006 % [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpb(data1,data2,win,params,segave,fscorr) 0007 % Input: 0008 % Note units have to be consistent. See chronux.m for more information. 0009 % data1 (column vector, continuous data) -- required 0010 % data2 (column vector, binned point process data) -- required 0011 % win (length of segments) - required 0012 % params: structure with fields tapers, pad, Fs, fpass, err 0013 % - optional 0014 % tapers : precalculated tapers from dpss or in the one of the following 0015 % forms: 0016 % (1) A numeric vector [TW K] where TW is the 0017 % time-bandwidth product and K is the number of 0018 % tapers to be used (less than or equal to 0019 % 2TW-1). 0020 % (2) A numeric vector [W T p] where W is the 0021 % bandwidth, T is the duration of the data and p 0022 % is an integer such that 2TW-p tapers are used. In 0023 % this form there is no default i.e. to specify 0024 % the bandwidth, you have to specify T and p as 0025 % well. Note that the units of W and T have to be 0026 % consistent: if W is in Hz, T must be in seconds 0027 % and vice versa. Note that these units must also 0028 % be consistent with the units of params.Fs: W can 0029 % be in Hz if and only if params.Fs is in Hz. 0030 % The default is to use form 1 with TW=3 and K=5 0031 % 0032 % pad (padding factor for the FFT) - optional (can take values -1,0,1,2...). 0033 % -1 corresponds to no padding, 0 corresponds to padding 0034 % to the next highest power of 2 etc. 0035 % e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT 0036 % to 512 points, if pad=1, we pad to 1024 points etc. 0037 % Defaults to 0. 0038 % Fs (sampling frequency) - optional. Default 1. 0039 % fpass (frequency band to be used in the calculation in the form 0040 % [fmin fmax])- optional. 0041 % Default all frequencies between 0 and Fs/2 0042 % err (error calculation [1 p] - Theoretical error bars; [2 p] - Jackknife error bars 0043 % [0 p] or 0 - no error bars) - optional. Default 0. 0044 % segave (average over segments for 1, don't average for 0) 0045 % fscorr (finite size corrections, 0 (don't use finite size corrections) or 0046 % 1 (use finite size corrections) - optional 0047 % (available only for spikes). Defaults 0. 0048 % Output: 0049 % C (magnitude of coherency - frequencies x segments if segave=0; dimension frequencies if segave=1) 0050 % phi (phase of coherency - frequencies x segments if segave=0; dimension frequencies if segave=1) 0051 % S12 (cross spectrum - frequencies x segments if segave=0; dimension frequencies if segave=1) 0052 % S1 (spectrum 1 - frequencies x segments if segave=0; dimension frequencies if segave=1) 0053 % S2 (spectrum 2 - frequencies x segments if segave=0; dimension frequencies if segave=1) 0054 % f (frequencies) 0055 % zerosp (1 for trials where no spikes were found, 0 otherwise) 0056 % confC (confidence level for C at 1-p %) - only for err(1)>=1 0057 % phistd - theoretical/jackknife (depending on err(1)=1/err(1)=2) standard deviation for phi 0058 % Note that phi + 2 phistd and phi - 2 phistd will give 95% confidence 0059 % bands for phi - only for err(1)>=1 0060 % Cerr (Jackknife error bars for C - use only for Jackknife - err(1)=2) 0061 0062 if nargin < 3; error('Need data1 and data2 and size of segment'); end; 0063 if nargin < 4; params=[]; end; 0064 [tapers,pad,Fs,fpass,err,trialave,params]=getparams(params); 0065 clear tapers pad fpass trialave 0066 if nargin < 5 || isempty(segave); segave=1;end; 0067 if nargin < 6 || isempty(fscorr); fscorr=0; end; 0068 if nargout > 7 && err(1)==0; 0069 % Errors computed only if err(1) is non-zero. Need to change params and run again. 0070 error('When errors are desired, err(1) has to be non-zero.'); 0071 end; 0072 if nargout > 9 && err(1)~=2; 0073 error('Cerr computed only for Jackknife. Correct inputs and run again'); 0074 end; 0075 0076 N=check_consistency(data1,data2); 0077 dt=1/Fs; % sampling interval 0078 T=N*dt; % length of data in seconds 0079 E=0:win:T-win; % fictitious event triggers 0080 win=[0 win]; % use window length to define left and right limits of windows around triggers 0081 data1=createdatamatc(data1,E,Fs,win); % segmented data 1 0082 data2=createdatamatpb(data2,E,Fs,win); % segmented data 2 0083 params.trialave=segave; 0084 if nargout==7; 0085 [C,phi,S12,S1,S2,f,zerosp]=coherencycpb(data1,data2,params,fscorr); % compute coherency for segmented data 0086 elseif nargout==9; 0087 [C,phi,S12,S1,S2,f,zerosp,confC,phistd]=coherencycpb(data1,data2,params,fscorr); % compute coherency for segmented data 0088 elseif nargout==10; 0089 [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencycpb(data1,data2,params,fscorr); % compute coherency for segmented data 0090 end;