In this series of behavioural and electroencephalography (EEG) experiments, we investigate the extent to which repeating patterns of sounds capture attention. Work in the visual domain has revealed attentional capture by statistically predictable stimuli, consistent with predictive coding accounts which suggest that attention is drawn to sensory regularities. Here, stimuli comprised rapid sequences of tone pips, arranged in regular (REG) or random (RAND) patterns. EEG data demonstrate that the brain rapidly recognizes predictable patterns manifested as a rapid increase in responses to REG relative to RAND sequences. This increase is reminiscent of the increase in gain on neural responses to attended stimuli often seen in the neuroimaging literature, and thus consistent with the hypothesis that predictable sequences draw attention. To study potential attentional capture by auditory regularities, we used REG and RAND sequences in two different behavioural tasks designed to reveal effects of attentional capture by regularity. Overall, the pattern of results suggests that regularity does not capture attention.
Readme
This contains information about the contents and use of the whole package
datashare_readme.rtf
Sample Sounds
This data package contains stimuli used for experiments published in:
Is predictability salient? A study of attentional capture by auditory patterns
Rosy Southwell, Anna Baumann, Cecile Gal, Nicolas Barascud, Karl Friston, Maria Chait
Philosophical Transactions of the Royal Society B
Exp1_EEG_Matlabcode
Matlab code for analysis of trial-averaged EEG data from Exp 1
matlab code.zip
Exp1_EEG_Average
This data package contains results published in:
Is predictability salient? A study of attentional capture by auditory patterns
Rosy Southwell, Anna Baumann, Cecile Gal, Nicolas Barascud, Karl Friston, Maria Chait
Philosophical Transactions of the Royal Society B
Experiment 1 (EEG) Condition-wise averaged ERPs for each of 21 subjects.
SPM meeg format; readable with Statistical Parametric Mapping for Matlab (http://www.fil.ion.ucl.ac.uk/spm/).
Data have been preprocessed as described in the manuscript.
Group-level cluster-based permutation statistics are described in the paper and are be implemented using the Fieldtrip toolbox (http://www.fieldtriptoolbox.org/)
Included in separate download (Exp1_EEG_Matlabcode) are Matlab scripts required for calculating group stats and plotting ERPs: please run plotRMS_cluster.m
Please contact the authors if you require raw data files, further analysis code or if you have any questions.
Exp1_EEG_SingleTrial_1
Single-trial data zip 1/7
Exp1_EEG_SingleTrial_2
Single trial data zip 2/7
Archive.zip
Exp1_EEG_SingleTrial_3
Single-trial data zip 3/7
Archive 2.zip
Exp1_EEG_SingleTrial_4
single trial data zip 4/7
Archive 3.zip
Exp1_EEG_SingleTrial_5
single trial data zip 5/7
Archive 4.zip
Exp1_EEG_SingleTrial_6
single trial zip 6/7
Archive 5.zip
Exp1_EEG_SingleTrial_7
single trial zip 7/7
Archive 6.zip
Exp2_beh
This data package contains results published in:
Is predictability salient? A study of attentional capture by auditory patterns
Rosy Southwell, Anna Baumann, Cecile Gal, Nicolas Barascud, Karl Friston, Maria Chait
Philosophical Transactions of the Royal Society B
Experiment 2 (Behavioural)
Folder:
Single-trial and summarised behavioural data is included in an Excel workbook (contained in separate sheets).
For data analysis and plotting in Matlab, a .mat file of the results is also provided as resmatALL.mat.
Scripts for analysing and plotting are included; please run AnalyseResultsPlot.m
Exp3_beh
This data package contains results published in:
Is predictability salient? A study of attentional capture by auditory patterns
Rosy Southwell, Anna Baumann, Cecile Gal, Nicolas Barascud, Karl Friston, Maria Chait
Philosophical Transactions of the Royal Society B
Experiment 3 (Behavioural)
Folder:
Single-trial and summarised behavioural data is included in an Excel workbook (separate sheets for each subject; group summary is right-most sheet).
For data analysis and plotting in Matlab, a .mat file of the results is also provided as exp3_datasummary.mat.
Scripts for analysing and plotting are included; please run AnalyseResultsPlot.m