Ross K. Maddox

This paper develops a refractoriness-masking paradigm to non-invasively isolate threshold-specific auditory nerve responses in humans, revealing non-linear amplitude patterns and response suppression.

This study confirms the feasibility of bone conduction pABR by comparing waveforms and thresholds with air conduction in young adults with normal hearing.

This study models how heminode disruption in spiral ganglion neurons interacts with background noise to impair auditory processing and sound localization.

This study investigates how pitch and time interact in neural encoding of music using chimeric music and TRF analysis, showing structural violations affect expectation processing and beat perception.

The paper investigates attentional modulation in auditory responses, finding cortical but not brainstem modulation during a selective attention task.

This study measures how subcortical auditory responses to speech change under speech masking conditions, finding reduced amplitudes and increased latencies with more competing talkers.

This study compares three methods for deriving the auditory brainstem response from continuous speech, finding that the auditory nerve modeled response and glottal pulse train regressors perform best.

This study shows that fundamental frequency, not talker gender, drives differences in auditory brainstem responses to speech, with higher frequencies leading to smaller and later responses.

This study investigates whether musical training enhances early auditory neural responses and finds no evidence of such enhancement in a large-scale, multi-site study.

This study shows that presenting multiple frequency-specific stimuli in parallel improves the place specificity of auditory brainstem responses for lower frequencies and higher rates.

The paper investigates whether multisensory integration enhances perceptual learning transfer in virtual reality, finding that it improves figure-ground segregation learning but not motion direction discrimination.

This study compares subcortical and cortical responses to music and speech using auditory brainstem responses derived via deconvolution with a computational auditory periphery model, finding high similarity in both regions.

The paper tests how task-uninformative visual stimuli affect auditory spatial discrimination, finding no significant increase in effect size with shorter stimuli.

The paper investigates how talker identity and temporal coherence influence audiovisual speech processing in a selective attention task using speech-like stimuli, finding that talker congruence has a significant effect while temporal coherence does not.

This study shows that using a deep neural network-generated talking face improves speech comprehension in noise, performing better than audio-only but less than natural video.

The paper shows that spatial alignment between faces and voices enhances selective attention to audio-visual speech in noisy environments.

This study determines the optimal parameters for the parallel auditory brainstem response (pABR) to estimate hearing thresholds efficiently in clinical settings.

The paper introduces a method using re-synthesized 'peaky' speech and EEG deconvolution to identify distinct subcortical components of the auditory brainstem response during speech processing.

The paper introduces a new method called parallel ABR (pABR) that reduces test duration and improves diagnostic information for hearing assessments.

The paper shows that visual signals enhance auditory cortex representations when temporally coherent with sound, supporting multisensory binding for auditory scene analysis.

This study develops a method to measure auditory brainstem responses to continuous natural speech, showing high similarity to click-evoked responses and enabling subcortical analysis.