Transformation of acoustic information to sensory decision variables in the parietal cortex.
Transformation of acoustic information to sensory decision variables in the parietal cortex.
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DOI:
10.1073/pnas.2212120120
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发表时间:
2023-01-10
影响因子:
11.1
通讯作者:
中科院分区:
文献类型:
--
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Consider walking along a busy street and suddenly hearing heavy footsteps approaching behind you. Deciding whether to move aside to avoid an impending collision becomes more evident with the sound of each additional footstep. This process requires integrating sensory observations over time and is implemented by transforming stimulus representations into decision variables. We explored the underlying neural mechanisms by recording parietal cortex activity while animals either performed an auditory task or passively listened to the identical sounds. While behaviorally relevant auditory information is represented when animals listen passively to the stimuli, it is only during task engagement that decoded parietal cortex activity directly reflects psychometric performance and behavioral measures of integration time. The process by which sensory evidence contributes to perceptual choices requires an understanding of its transformation into decision variables. Here, we address this issue by evaluating the neural representation of acoustic information in the auditory cortex-recipient parietal cortex, while gerbils either performed a two-alternative forced-choice auditory discrimination task or while they passively listened to identical acoustic stimuli. During task engagement, stimulus identity decoding performance from simultaneously recorded parietal neurons significantly correlated with psychometric sensitivity. In contrast, decoding performance during passive listening was significantly reduced. Principal component and geometric analyses revealed the emergence of low-dimensional encoding of linearly separable manifolds with respect to stimulus identity and decision, but only during task engagement. These findings confirm that the parietal cortex mediates a transition of acoustic representations into decision-related variables. Finally, using a clustering analysis, we identified three functionally distinct subpopulations of neurons that each encoded task-relevant information during separate temporal segments of a trial. Taken together, our findings demonstrate how parietal cortex neurons integrate and transform encoded auditory information to guide sound-driven perceptual decisions.
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