Published October 25, 2022 | Version v1
Dataset Open

Dataset supplementing "Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis."

  • 1. Cognitive Systems Lab, Faculty of Natural Sciences, Chemnitz University of Technology
  • 2. Physics of Cognition Group, Faculty of Natural Sciences, Chemnitz University of Technology

Description

These data supplement the paper

Thomassen, S., Hartung, K., Einhäuser, W., & Bendixen, A. (2022). Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis. Journal of the Acoustical Society of America, 152(5), 2758-2768. https://doi.org/10.1121/10.0015054


figure2.m, figure3.m and figure4.m reproduce the respective figures of the paper, using the data of dataExp1.mat, dataExp2.mat and dataExp3.mat, respectively (Figure 1 is not a Results figure).

Please note that the legend command may throw a warning or an error in some matlab versions, when interpreting the underscore (_) as command character. These warnings can be ignored or the legend command commented out.


The mat-files contain the following data:

dataExp1.mat:

The 18 x 4 x 3 (subjects x Delta f x pattern) cell arrays

  time_buttonPress_integrated        
  time_buttonPress_segregated        
  time_buttonRelease_integrated      
  time_buttonRelease_segregated      

contain the time points (in ms relative to block onset) at which the button for integrated / segregated percept is pressed / released. These matrices are already sorted by condition (in Delta f and pattern), and the buttons organized by reported percept.

 

The 18 x 4 x 3 (subjects x Delta f x pattern) matrix

  time_blockEnd

contains the timepoint (in ms after onset) of the end of each block.


The 18 x 4 x 3 (subjects x Delta f x pattern) matrix
 
  originalBlockNum                

contains the serial order of the block of this condition during the experiment.


The 1 x 4 vector

   Df

contains the Delta f levels used (in order as used in the matrices' and cells' second dimension).


The 1 x 3 cell
 
  patternLabel                        

contains the patterns used (in order as used in the matrices' and cells' third dimension).

see figure2.m for an example

 

dataExp2.mat:

The 18 x 2 x 2 x 2 x 20 cell

  buttonTimes

contains the times (in ms relative to trial onset) at which the button status changed.


The 18 x 2 x 2 x 2 x 20 cell

  buttonStates

contains the new state of the button at the corresponding time in buttonTimes.

The dimensions of both cell arrays are (in order):
 subject (18 levels)
 convergence (2 levels: divergent, convergent)
 pattern (2 levels: HLH_, LHL_)
 duration (2 levels: short/fast [10s], long/slow [15s])
 instance (20 repetitions).

see figure3.m for an example

 

dataExp3.mat

The 20 x 2 x 4 x 30 (subjects x pattern x Delta f x repetition) cell arrays

 time_buttonPress_integrated        

 time_buttonPress_segregated   

contain the time points (in s relative to block onset) at which the button for integrated / segregated percept is pressed.


The 1 x 2 cell

  patternLabel                        

contains the patterns used (in order as used in the cells' second dimension).

The 1 x 4 vector

  Df

contains the Delta f levels used (in order as used in the cells' third dimension).


Note that the order of dimensions and of patterns deviates between the three experiments, but is consistent within each experiment.

 

Notes

Research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, individual grants BE4284/4-1 and EI852/8-1, project no. 325414673).

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Additional details

Related works

Is supplement to
Journal article: 10.1121/10.0015054 (DOI)