Correspondence© 2 0 2 0 S p r i n g e r N a t u r e L i m i t e d . A l l r i g h t s r e s e r v e d .
Both generalized arousal and engagement in a specific task influence sensory neural processing. To isolate effects of these state variables in the auditory system, we recorded single-unit activity from primary auditory cortex (A1) and inferior colliculus (IC) of ferrets during a tone detection task, while monitoring arousal via changes in pupil size. We used a generalized linear model to assess the influence of task engagement and pupil size on sound-evoked activity. In both areas, these two variables affected independent neural populations. Pupil size effects were more prominent in IC, while pupil and task engagement effects were equally likely in A1. Task engagement was correlated with larger pupil; thus, some apparent effects of task engagement should in fact be attributed to fluctuations in pupil size. These results indicate a hierarchy of auditory processing, where generalized arousal enhances activity in midbrain, and effects specific to task engagement become more prominent in cortex.
The brain’s representation of sound is influenced by multiple aspects of internal behavioral state. Following engagement in an auditory discrimination task, both generalized arousal and task-specific control signals can influence auditory processing. To isolate effects of these state variables on auditory processing, we recorded single-unit activity from primary auditory cortex (A1) and the inferior colliculus (IC) of ferrets as they engaged in a go/no-go tone detection task while simultaneously monitoring arousal via pupillometry. We used a generalized linear model to isolate the contributions of task engagement and arousal on spontaneous and evoked neural activity. Fluctuations in pupil-indexed arousal were correlated with task engagement, but these two variables could be dissociated in most experiments. In both A1 and IC, individual units could be modulated by task and/or arousal, but the two state variables affected independent neural populations. Arousal effects were more prominent in IC, while arousal and engagement effects occurred with about equal frequency in A1. These results indicate that some changes in neural activity attributed to task engagement in previous studies should in fact be attributed to global fluctuations in arousal. Arousal effects also explain some persistent changes in neural activity observed in passive conditions post-behavior. Together, these results indicate a hierarchy in the auditory system, where generalized arousal enhances activity in the midbrain and cortex, while task-specific changes in neural coding become more prominent in cortex.
In addition to encoding sound stimulus features, activity in primary auditory cortex (A1) is modulated by non-sensory behavioral state variables, including arousal. Here, we investigated how arousal, measured by pupil size, influences stimulus discriminability in A1. To do this, we recorded from populations of A1 neurons in awake animals while presenting a diverse set of natural sound stimuli. In contrast to previous work, the large stimulus set allowed us to investigate effects of arousal across a wide range of sensory response space. Arousal consistently increased evoked response magnitude and reduced pairwise noise correlations. On average, these changes improved the accuracy of the neural code. However, effects varied across stimuli; neural coding was most improved for areas of the sensory space where noise correlations interfered with the sensory discrimination axis. We also found that first-order modulation of evoked responses and second-order modulation of correlated variability acted on distinct neural populations and timescales, suggesting that arousal interacts with multiple circuits underlying activity in A1.
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Key points Undergraduate science education should include education in scholarly practices like peer review. Authentic experiences in peer review increase science literacy and science identity. Peer review of preprints provides a means for undergraduates to be involved in peer review that is independent of journal gatekeeping processes.
Statistical regularities in natural sounds facilitate the perceptual segregation of auditory sources, or streams. Repetition is one cue that drives stream segregation in humans, but the neural basis of this perceptual phenomenon remains unknown. We demonstrated a similar perceptual ability in animals by training ferrets of both sexes to detect a stream of repeating noise samples (foreground) embedded in a stream of random samples (background). During passive listening, we recorded neural activity in primary auditory cortex (A1) and secondary auditory cortex (posterior ectosylvian gyrus, PEG). We used two context-dependent encoding models to test for evidence of streaming of the repeating stimulus. The first was based on average evoked activity per noise sample and the second on the spectro-temporal receptive field. Both approaches tested whether differences in neural responses to repeating versus random stimuli were better modeled by scaling the response to both streams equally (global gain) or by separately scaling the response to the foreground versus background stream (stream-specific gain). Consistent with previous observations of adaptation, we found an overall reduction in global gain when the stimulus began to repeat. However, when we measured stream-specific changes in gain, responses to the foreground were enhanced relative to the background. This enhancement was stronger in PEG than A1. In A1, enhancement was strongest in units with low sparseness (i.e., broad sensory tuning) and with tuning selective for the repeated sample. Enhancement of responses to the foreground relative to the background provides evidence for stream segregation that emerges in A1 and is refined in PEG.
Preprints enable new forms of peer review that have the potential to be more thorough, inclusive, and collegial. In December 2022, 80 researchers and representatives of funders, institutions, preprint servers, journals, indexers, and review services were invited to gather online and at the Janelia Research Campus for a workshop on Recognizing Preprint Peer Review. Sponsored by HHMI, ASAPbio, and EMBO, this meeting aimed to catalyze community consensus and support for preprint peer review and to create model funder, institutional, and journal policies that recognize both preprints with reviews, and reviews of preprints. Here, we make a call to action to stakeholders in the community to help capture the growing momentum of preprint sharing and empower researchers to provide open and constructive peer review for preprints.
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