Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy

Giroud, Jérémy; Trébuchon, Agnès; SchoÌˆn, D.; Marquis, Patrick; Liégeois‐Chauvel, Catherine; Poeppel, David; Morillon, Benjamin

doi:10.1101/581520

Cited by 11 publications

(15 citation statements)

References 49 publications

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“…The range for both fast and slow modulations is broadly consistent with the asymmetric sampling model developed for speech (Giroud et al, 2020), which has previously been implicated in the neural bases of the memory for noise (Luo et al, 2013). However, there is a large variability in Figure 5C because each square is based on the correlation of only six points with little variation within these points (cf.…”

Section: Discussionsupporting

confidence: 84%

Repetition detection and rapid auditory learning for stochastic tone clouds

Agus

Pressnitzer

2021

The Journal of the Acoustical Society of America

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Stochastic sounds are useful to probe auditory memory, as they require listeners to learn unpredictable and novel patterns under controlled experimental conditions. Previous studies using white noise or random click trains have demonstrated rapid auditory learning. Here, we explored perceptual learning with a more parametrically variable stimulus. These "tone clouds" were defined as broadband combinations of tone pips at randomized frequencies and onset times. Varying the number of tones covered a perceptual range from individually audible pips to noise-like stimuli. Results showed that listeners could detect and learn repeating patterns in tone clouds. Task difficulty varied depending on the density of tone pips, with sparse tone clouds the easiest. Rapid learning of individual tone clouds was observed for all densities, with a roughly constant benefit of learning irrespective of baseline performance. Variations in task difficulty were correlated to amplitude modulations in an auditory model. Tone clouds thus provide a tool to probe auditory learning in a variety of task-difficulty settings, which could be useful for clinical or neurophysiological studies. They also show that rapid auditory learning operates over a wide range of spectrotemporal complexity, essentially from melodies to noise.

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Section: Discussionsupporting

confidence: 84%

Repetition detection and rapid auditory learning for stochastic tone clouds

Agus

Pressnitzer

2021

The Journal of the Acoustical Society of America

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“…In particular, we found that channel capacities associated with acoustic modulation and syllabic rates were at around 15 Hz while the channel capacity associated with the phonemic rate was at around 35 Hz. These values parallel theoretical considerations and neurophysiological observations (Giraud & Poeppel, 2012;Giroud et al, 2020) and provide a behavioral validation that phonemic sampling occurs at such a rate (see also (Marchesotti et al, 2020). While the acoustic modulation and syllabic rates are often reduced to one another, they are dissociable (see also (Schmidt et al, 2021), are associated with different processing bottlenecks, but both unfold at around 5 Hz in natural speech and have a channel capacity of around 15 Hz.…”

Section: Discussionsupporting

confidence: 70%

“…Neural activity recorded in the primary auditory cortex can indeed track the acoustic modulation rate even well outside of the intelligibility range (Nourski et al, 2009;Pefkou, Arnal, Fontolan, & Giraud, 2017). This feat is putatively rendered possible by the short temporal integration windows of early auditory areas (Giroud et al, 2020;Lerner et al, 2014;Poeppel, 2003). Conversely, the degraded comprehension of speeded speech is thought to arise from limitations of higher order brain areas in their speech-decoding capacities (Vagharchakian et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

The channel capacity of multilevel linguistic features constrains speech comprehension

Giroud

Lerousseau

Pellegrino

et al. 2021

Preprint

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Humans are expert at processing speech but how this feat is accomplished remains a major question in cognitive neuroscience. Capitalizing on the concept of channel capacity, we developed a unified measurement framework to investigate the respective influence of seven acoustic and linguistic features on speech comprehension, encompassing acoustic, sub-lexical, lexical and supra-lexical levels of description. We show that comprehension is independently impacted by all these features, but at varying degrees and with a clear dominance of the syllabic rate. Comparing comprehension of French words and sentences further reveals that when supra-lexical contextual information is present, the impact of all other features is dramatically reduced. Finally, we estimated the channel capacity associated with each linguistic feature and compared them with their generic distribution in natural speech. Our data point towards supra-lexical contextual information as the feature limiting the flow of natural speech. Overall, this study reveals how multilevel linguistic features constrain speech comprehension.

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“…(1) It is consistent with our previous studies (e.g., 14 Fujioka et al, 2012;Chang et al, 2019). ( 2) Some other studies have interpreted activities below 15 Hz as alpha band (e.g., Ahveninen et al, 2017) and above 25 Hz as low-gamma band (e.g., Giroud et al, 2020). Therefore, it is debatable whether to include these frequencies as beta band.…”

Section: Time-frequency Analysessupporting

confidence: 87%

Atypical beta power fluctuation while listening to an isochronous sequence in dyslexia

Chang

Bedoin

Canette

et al. 2021

Clinical Neurophysiology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy

Cited by 11 publications

References 49 publications

Repetition detection and rapid auditory learning for stochastic tone clouds

Repetition detection and rapid auditory learning for stochastic tone clouds

The channel capacity of multilevel linguistic features constrains speech comprehension

Atypical beta power fluctuation while listening to an isochronous sequence in dyslexia

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