ArticleNature neuroscience2023
Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds.
Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Voice perception reflects graded sensitivity to acoustic cues along the auditory hierarchy.Current biology : CB · 2026Article
- Causal evidence from invasive recordings reveals distributed acoustic feature encoding underlying categorical voice perception.NeuroImage · 2026Article
- A flexible behavioral method for measuring human and artificial intelligence alignment using representational similarity analysis.iScience · 2026Article
- Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex.Nature neuroscience · 2026Article
- From sound to source: Human and model recognition of environmental sounds.bioRxiv : the preprint server for biology · 2026Article
- Human auditory cortex preferentially tracks speech over music without explicit attention.bioRxiv : the preprint server for biology · 2026Article
- Deep Sound Synthesis Matched to Brain Activity Recapitulates Preferential Responses to Speech and Music.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Interpretable vocal tract and respiratory inversion via physics-informed neural operators.Scientific reports · 2026Article
- Linguistic pitch is hierarchically encoded in the right ventral stream.Communications biology · 2026Article
- Article
- Bridging language phenotypes, neural dynamics and gene regulation in autism.Imaging neuroscience (Cambridge, Mass.) · 2026Review
- Refining the multimodality of semantic representations.Trends in cognitive sciences · 2025Article
- Reconstructing music perception from brain activity using a prior guided diffusion model.Scientific reports · 2025Article
- Selective Attention Shapes Neural Representations of Complex Auditory Scenes: The Roles of Object Identity and Scene Composition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Auditory Cortical Gradients Integrate Bottom-Up and Top-Down Structure During Natural Sound Categorisation.bioRxiv : the preprint server for biology · 2025Article
- Temporal integration in human auditory cortex is predominantly yoked to absolute time.Nature neuroscience · 2025Article
- Wordsworth: A generative word dataset for comparison of speech representations in humans and neural networks.Scientific data · 2025Article
- Deep neural networks explain spiking activity in auditory cortex.PLoS computational biology · 2025Article
- Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation.PLoS biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recognizing sounds implicates the cerebral transformation of input waveforms into semantic representations. Although past research identified the superior temporal gyrus (STG) as a crucial cortical region, the computational fingerprint of these cerebral transformations remains poorly characterized. Here, we exploit a model comparison framework and contrasted the ability of acoustic, semantic (continuous and categorical) and sound-to-event deep neural network representation models to predict perceived sound dissimilarity and 7 T human auditory cortex functional magnetic resonance imaging responses. We confirm that spectrotemporal modulations predict early auditory cortex (Heschl's gyrus) responses, and that auditory dimensions (for example, loudness, periodicity) predict STG responses and perceived dissimilarity. Sound-to-event deep neural networks predict Heschl's gyrus responses similar to acoustic models but, notably, they outperform all competing models at predicting both STG responses and perceived dissimilarity. Our findings indicate that STG entails intermediate acoustic-to-semantic sound representations that neither acoustic nor semantic models can account for. These representations are compositional in nature and relevant to behavior.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.