Open Access
Issue
Acta Acust.
Volume 8, 2024
Article Number 3
Number of page(s) 12
Section Hearing, Audiology and Psychoacoustics
DOI https://doi.org/10.1051/aacus/2023064
Published online 09 January 2024

Supplementary figures

thumbnail Figure S1:

Compound likelihood (mean over the other three parameters and all stimulus parameters after setting the maximum of each trial to zero) for each of the four model parameters in the upper four panels for subject S1. The stimuli chosen by the procedure across trials are shown in the bottom panel. The dashed black line indicates the end of the initialization blocks and the start of the model steering with trial number 113.

thumbnail Figure S2:

Compound likelihood (mean over the other three parameters and all stimulus parameters after setting the maximum of each trial to zero) for each of the four model parameters in the upper four panels for subject S2. The stimuli chosen by the procedure across trials are shown in the bottom panel. The dashed black line indicates the end of the initialization blocks and the start of the model steering with trial number 113.

thumbnail Figure S3:

Compound likelihood (mean over the other three parameters and all stimulus parameters after setting the maximum of each trial to zero) for each of the four model parameters in the upper four panels for subject S3. The stimuli chosen by the procedure across trials are shown in the bottom panel. The dashed black line indicates the end of the initialization blocks and the start of the model steering with trial number 113.

thumbnail Figure S4:

Compound likelihood (mean over the other three parameters and all stimulus parameters after setting the maximum of each trial to zero) for each of the four model parameters in the upper four panels for subject S5. The stimuli chosen by the procedure across trials are shown in the bottom panel. The dashed black line indicates the end of the initialization blocks and the start of the model steering with trial number 113.


© The Author(s), Published by EDP Sciences, 2024

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