


Multi-taper event triggered time-frequency spectrum - point process times
Usage:
[S,t,f,R,Serr]=mtspecgramtrigpt(data,E,win,movingwin,params,fscorr)
Input:
data (univariate spike data -1d structure array of spike times; also accepts 1d array of spike times) -- required
E (event times) - required
win (in the form [winl,winr] i.e window around each event
required
movingwin (in the form [window winstep] i.e length of moving
window and step size) -
required
params: structure with fields tapers, pad, Fs, fpass, err, trialave
- optional
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 (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 events 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 events if trialave=0; dimensions time x frequency if trialave=1)
t (times)
f (frequencies)
R (spike rate)
Serr (error bars)-only if err(1)>=1

0001 function [S,t,f,R,Serr]=mtspecgramtrigpt(data,E,win,movingwin,params,fscorr) 0002 % Multi-taper event triggered time-frequency spectrum - point process times 0003 % 0004 % Usage: 0005 % 0006 % [S,t,f,R,Serr]=mtspecgramtrigpt(data,E,win,movingwin,params,fscorr) 0007 % Input: 0008 % data (univariate spike data -1d structure array of spike times; also accepts 1d array of spike times) -- required 0009 % E (event times) - required 0010 % win (in the form [winl,winr] i.e window around each event 0011 % required 0012 % movingwin (in the form [window winstep] i.e length of moving 0013 % window and step size) - 0014 % required 0015 % params: structure with fields tapers, pad, Fs, fpass, err, trialave 0016 % - optional 0017 % tapers (precalculated tapers from dpss, or in the form [NW K] e.g [3 5]) -- optional. If not 0018 % specified, use [NW K]=[3 5] 0019 % pad (padding factor for the FFT) - optional (can take values -1,0,1,2...). 0020 % -1 corresponds to no padding, 0 corresponds to padding 0021 % to the next highest power of 2 etc. 0022 % e.g. For N = 500, if PAD = -1, we do not pad; if PAD = 0, we pad the FFT 0023 % to 512 points, if pad=1, we pad to 1024 points etc. 0024 % Defaults to 0. 0025 % Fs (sampling frequency) - optional. Default 1. 0026 % fpass (frequency band to be used in the calculation in the form 0027 % [fmin fmax])- optional. 0028 % Default all frequencies between 0 and Fs/2 0029 % err (error calculation [1 p] - Theoretical error bars; [2 p] - Jackknife error bars 0030 % [0 p] or 0 - no error bars) - optional. Default 0. 0031 % trialave (average over events when 1, don't average when 0) - optional. Default 0 0032 % fscorr (finite size corrections, 0 (don't use finite size corrections) or 1 (use finite size corrections) - optional 0033 % (available only for spikes). Defaults 0. 0034 % 0035 % Output: 0036 % S (Spectrogram with dimensions time x frequency x events if trialave=0; dimensions time x frequency if trialave=1) 0037 % t (times) 0038 % f (frequencies) 0039 % R (spike rate) 0040 % Serr (error bars)-only if err(1)>=1 0041 0042 if nargin < 4; error('Need data, events and parameters for the windows'); end; 0043 if nargin < 5; params=[]; end; 0044 [tapers,pad,Fs,fpass,err,trialave,params]=getparams(params); 0045 clear tapers pad Fs fpass err trialave 0046 if nargin < 6 || isempty(fscorr); fscorr=0; end; 0047 0048 data=createdatamatpt(data,E,win); 0049 if nargout==5; 0050 [S,t,f,R,Serr]=mtspecgrampt(data,movingwin,params,fscorr); 0051 else 0052 [S,t,f,R]=mtspecgrampt(data,movingwin,params,fscorr); 0053 end;