DevianceDetectionHumanABR/Deviance Detection_Humans/extrctresp.m

%% Function: extract deviant responses following a standard response and standard responses preceding a deviant response from sorted sorted response blocks

function [dev_as,std_bd,nResp] = extrctresp(dev_all,std_all,seq)

% calculate number of stimulations, points per sample & number of deviants
nTrials = size(seq,2);
pSmpl = size(dev_all,1);
nDev = sum(seq);

% create deviant and standard sequence
seq_dev = logical(seq);
seq_std = ~seq;

% shift dev and std sequence by one point and index into it with original std and dev sequence to obtain stds before devs and devs after stds
seq_std_bd = logical([seq_dev(2:nTrials),zeros(1,1)]); % shift original dev sequences by 1 point (forwards)
seq_std_bd = seq_std_bd(seq_std); % index into shifted deviant sequences with original std sequences to obtain stds before devs
seq_dev_as = logical([zeros(1,1),seq_std(1:nTrials-1)]); % shift original std sequences by 1 point (backwards)
seq_dev_as = seq_dev_as(seq_dev); % index into shifted standard sequences with original dev sequences to obtain dev after stds

% apply newly generated sequences on dev and std datasets
std_bd = std_all(:,seq_std_bd);
dev_as = dev_all(:,seq_dev_as);

% to have a constant array-size across recordings, add columns of zeros up to original
% dev-array size (= maximum number of responses)
nResp = size(std_bd,2); % number of above extracted responses
std_bd = [std_bd,zeros(pSmpl,nDev-nResp)];
dev_as = [dev_as,zeros(pSmpl,nDev-nResp)];