Previous studies have demonstrated that auditory reaction time (RT) is a reliable surrogate of loudness perception in humans. Reaction time-intensity (RT-I) functions faithfully recapitulate equal loudness contours in humans while being easier to obtain than equal loudness judgments, especially in animals. In humans, loudness estimation not only depends on sound intensity, but on a variety of other acoustic factors. Stimulus duration and bandwidth are known to impact loudness perception. In addition, the presence of background noise mimics loudness recruitment; loudness growth is rapid near threshold, but growth becomes normal at suprathreshold levels. Therefore, to evaluate whether RT-I functions are a reliable measure of loudness growth in rats, we obtained auditory RTs across a range of stimulus intensities, durations, and bandwidths, in both quiet and in the presence of background/masking noise. We found that reaction time patterns across stimulus parameters were repeatable over several months in rats and generally consistent with human loudness perceptual data. Our results provide important building blocks for future animal model studies of loudness perception and loudness perceptual disorders.

In a reverberant environment, humans with normal hearing can perceptually fuse the soundwave from a source with its reflections off nearby surfaces into a single auditory image, whose location appears to be around the source. This phenomenon is called the precedence effect, which is based on the perceptual capture of the reflected (lagging) sounds' attributes by the direct wave from the source. Using the paradigm of attentional modulation of the prepulse inhibition (PPI) of the startle reflex, with both the prepulse-feature specificity and the perceived-prepulse-location specificity, this study was to examine whether the perceptual attribute capture underlying the precedence effect occurs in rats. One broadband continuous noise was delivered by each of two spatially separated left and right loudspeakers with a 1-ms inter-loudspeaker delay. A silent gap was embedded in one of the two noises as the prepulse stimulus. The results showed that regardless of whether the gap was physically in the leading or lagging noise when the leading noise was either the left or right one, fear conditioning the gap enhanced PPI only when the leading noise was delivered from the loudspeaker that was the leading but not the lagging loudspeaker during the conditioning, indicating that due to the spatial specificity (either left or right) in the attentional enhancement of PPI, the perceived location of the conditioned gap was always on the leading side even though the gap was physically on the lagging side. Thus, rats have the same perceptual ability of attribute capture, thereby experiencing the auditory precedence effect as humans.

Parsing simultaneous speech requires listeners use pitch-guided segregation which can be affected by the signal-to-noise ratio (SNR) in the auditory scene. The interaction of these two cues may occur at multiple levels within the cortex. The aims of the current study were to assess the correspondence between oscillatory brain rhythms and determine how listeners exploit pitch and SNR cues to successfully segregate concurrent speech. We recorded electrical brain activity while participants heard double-vowel stimuli whose fundamental frequencies (F0s) differed by zero or four semitones (STs) presented in either clean or noise-degraded (+5 dB SNR) conditions. We found that behavioral identification was more accurate for vowel mixtures with larger pitch separations but F0 benefit interacted with noise. Time-frequency analysis decomposed the EEG into different spectrotemporal frequency bands. Low-frequency (θ, β) responses were elevated when speech did not contain pitch cues (0ST > 4ST) or was noisy, suggesting a correlate of increased listening effort and/or memory demands. Contrastively, γ power increments were observed for changes in both pitch (0ST > 4ST) and SNR (clean > noise), suggesting high-frequency bands carry information related to acoustic features and the quality of speech representations. Brain-behavior associations corroborated these effects; modulations in low-frequency rhythms predicted the speed of listeners' perceptual decisions with higher bands predicting identification accuracy. Results are consistent with the notion that neural oscillations reflect both automatic (pre-perceptual) and controlled (post-perceptual) mechanisms of speech processing that are largely divisible into high- and low-frequency bands of human brain rhythms.