Learning-related improvements in auditory detection sensitivities correlate with neural changes observable during active and passive sound processing

Ball, Natalie J.; Wisniewski, Matthew G.; Zakrzewski, Alexandria C.; Iyer, Nandini; Simpson, Brian D.; Seccia, Amanda; Thompson, Eric R.; Spencer, Nathan

doi:10.1121/2.0000630

Cited by 3 publications

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though the sounds used in that study were not made up of scenes with multiple auditory objects, the three-alternative forced-choice task used to test performance did assess ability to discern changes from one interval to the next, making it a change detection task. Recently, Wisniewski et al [ 22 ] found that listeners were better at detecting tones at a frequency they were trained with (either 861-Hz or 1058-Hz), and that P2 and P3 amplitudes were larger for trained than for untrained tones during a listener’s active engagement in detection (also, see [ 36 ]). However, even during passive exposure to these sounds, P2 amplitudes were larger for trained than for untrained tones.…”

Section: Introductionmentioning

confidence: 99%

The impacts of training on change deafness and build-up in a flicker task

et al. 2022

View full text Add to dashboard Cite

Performance on auditory change detection tasks can be improved by training. We examined the stimulus specificity of these training effects in behavior and ERPs. A flicker change detection task was employed in which spatialized auditory scenes were alternated until a "change" or "same" response was made. For half of the trials, scenes were identical. The other half contained changes in the spatial locations of objects from scene to scene. On Day 1, participants were either trained on this auditory change detection task (trained group), or trained on a non-auditory change detection task (control group). On Day 2, all participants were tested on the flicker task while EEG was recorded. The trained group showed greater change detection accuracy than the control group. They were less biased to respond "same" and showed full generalization of learning from trained to novel auditory objects. ERPs for "change" compared to "same" trials showed more negative going P1, N1, and P2 amplitudes, as well as a larger P3b amplitude. The P3b amplitude also differed between the trained and control group, with larger amplitudes for the trained group. Analysis of ERPs to scenes viewed prior to a decision revealed build-up of a difference between "change" and "same" trials in N1 and P2. Results demonstrate that training has an impact early in the "same" versus "change" decision-making process, and that the flicker paradigm combined with the ERP method can be used to study the build-up of change detection in auditory scenes.

show abstract

Section: Introductionmentioning

confidence: 99%