function [S,t,f,R,Serr]=mtspecgrampt(data,movingwin,params,fscorr) % Multi-taper time-frequency spectrum - point process times % % Usage: % % [S,t,f,R,Serr]=mtspecgrampt(data,movingwin,params,fscorr) % Input: % data (structure array of spike times with dimension channels/trials; % also accepts 1d array of spike times) -- required % movingwin (in the form [window,winstep] i.e length of moving % window and step size. % % params: structure with fields tapers, pad, Fs, fpass, err, trialave % - 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 % Note that T has to be equal to movingwin(1). % % 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. % trialave (average over trials/channels when 1, don't average when 0) - optional. Default 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: % S (spectrogram with dimensions time x frequency x channels/trials if trialave=0; % dimensions time x frequency if trialave=1) % t (times) % f (frequencies) % % Serr (error bars) - only if err(1)>=1 if nargin < 2; error('Need data and window parameters'); end; if nargin < 3; params=[]; end; [tapers,pad,Fs,fpass,err,trialave,params]=getparams(params); if length(params.tapers)==3 & movingwin(1)~=params.tapers(2); error('Duration of data in params.tapers is inconsistent with movingwin(1), modify params.tapers(2) to proceed') end data=change_row_to_column(data); if isstruct(data); Ch=length(data); end; if nargin < 4 || isempty(fscorr); fscorr=0; end; if nargout > 4 && err(1)==0; error('Cannot compute errors with err(1)=0'); end; [mintime,maxtime]=minmaxsptimes(data); tn=(mintime+movingwin(1)/2:movingwin(2):maxtime-movingwin(1)/2); Nwin=round(Fs*movingwin(1)); % number of samples in window nfft=max(2^(nextpow2(Nwin)+pad),Nwin); f=getfgrid(Fs,nfft,fpass); Nf=length(f); params.tapers=dpsschk(tapers,Nwin,Fs); % check tapers nw=length(tn); if trialave S = zeros(nw,Nf); R = zeros(nw,1); if nargout==4; Serr=zeros(2,nw,Nf); end; else S = zeros(nw,Nf,Ch); R = zeros(nw,Ch); if nargout==4; Serr=zeros(2,nw,Nf,Ch); end; end for n=1:nw; t=linspace(tn(n)-movingwin(1)/2,tn(n)+movingwin(1)/2,Nwin); datawin=extractdatapt(data,[t(1) t(end)]); if nargout==5; [s,f,r,serr]=mtspectrumpt(datawin,params,fscorr,t); Serr(1,n,:,:)=squeeze(serr(1,:,:)); Serr(2,n,:,:)=squeeze(serr(2,:,:)); else [s,f,r]=mtspectrumpt(datawin,params,fscorr,t); end; S(n,:,:)=s; R(n,:)=r; end; t=tn; S=squeeze(S); R=squeeze(R); if nargout==5; Serr=squeeze(Serr);end