# cosmo phase itc hdrΒΆ

```
function itc_ds=cosmo_phase_itc(ds,varargin)
% compute phase inter trial coherence
%
% itc_ds=cosmo_phase_itc(ds,varargin)
%
% Inputs:
% ds dataset struct with fields:
% .samples PxQ complex matrix for P samples (trials,
% observations) and Q features (e.g. combinations
% of time points, frequencies and channels)
% .sa.targets Px1 array with trial conditions. Each condition
% must occur equally often; that is, the
% samples must be balanced.
% In the typical case of two conditions,
% .sa.targets must have exactly two unique
% values.
% .sa.chunks Px1 array indicating which samples can be
% considered to be independent. It is required
% that all samples are independent, therefore
% all values in .sa.chunks must be different from
% each other
% .fa } optional feature attributes
% .a } optional sample attributes
% 'samples_are_unit_length',u (optional, default=false)
% If u==true, then all elements in ds.samples
% are assumed to be already of unit length. If
% this is indeed true, this can speed up the
% computation of the output.
% 'check_dataset',c (optional, default=true)
% if c==false, there is no check for consistency
% of the ds input.
%
% Output:
% itc_ds dataset struct with fields:
% .samples (N+1)xQ array with inter-trial coherence
% measure, where U=unique(ds.sa.targets) and
% N=numel(U). The first N rows correspond to the
% inter trial coherence for each condition. The
% last row is the inter trial coherence for all
% samples together.
% .sa.targets (N+1)x1 vector containing the values
% [U(:);NaN]' with trial conditions
% .a } if present in the input, then the output
% .fa } contains these fields as well
%
% # For CoSMoMVPA's copyright information and license terms, #
% # see the COPYING file distributed with CoSMoMVPA. #
```