Literature DB >> 36206302

Rule-based and stimulus-based cues bias auditory decisions via different computational and physiological mechanisms.

Nathan Tardiff1, Lalitta Suriya-Arunroj1, Yale E Cohen1, Joshua I Gold2.   

Abstract

Expectations, such as those arising from either learned rules or recent stimulus regularities, can bias subsequent auditory perception in diverse ways. However, it is not well understood if and how these diverse effects depend on the source of the expectations. Further, it is unknown whether different sources of bias use the same or different computational and physiological mechanisms. We examined how rule-based and stimulus-based expectations influenced behavior and pupil-linked arousal, a marker of certain forms of expectation-based processing, of human subjects performing an auditory frequency-discrimination task. Rule-based cues consistently biased choices and response times (RTs) toward the more-probable stimulus. In contrast, stimulus-based cues had a complex combination of effects, including choice and RT biases toward and away from the frequency of recently presented stimuli. These different behavioral patterns also had: 1) distinct computational signatures, including different modulations of key components of a novel form of a drift-diffusion decision model and 2) distinct physiological signatures, including substantial bias-dependent modulations of pupil size in response to rule-based but not stimulus-based cues. These results imply that different sources of expectations can modulate auditory processing via distinct mechanisms: one that uses arousal-linked, rule-based information and another that uses arousal-independent, stimulus-based information to bias the speed and accuracy of auditory perceptual decisions.

Entities:  

Mesh:

Year:  2022        PMID: 36206302      PMCID: PMC9581427          DOI: 10.1371/journal.pcbi.1010601

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.779


  73 in total

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Authors:  Israel Nelken
Journal:  Biol Cybern       Date:  2014-01-30       Impact factor: 2.086

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Authors:  Zachary P Schwartz; Brad N Buran; Stephen V David
Journal:  J Neurophysiol       Date:  2019-11-13       Impact factor: 2.714

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Authors:  Roger Ratcliff
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Journal:  Eur J Neurosci       Date:  2012-04       Impact factor: 3.386

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Authors:  Joel S Snyder; Olivia L Carter; Erin E Hannon; Claude Alain
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9.  Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias.

Authors:  Anne E Urai; Anke Braun; Tobias H Donner
Journal:  Nat Commun       Date:  2017-03-03       Impact factor: 14.919

10.  Characterizing the impact of category uncertainty on human auditory categorization behavior.

Authors:  Adam M Gifford; Yale E Cohen; Alan A Stocker
Journal:  PLoS Comput Biol       Date:  2014-07-17       Impact factor: 4.475

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