ArticleNature communications2019
Optimal features for auditory categorization.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Family identity is represented within vocal categories by the gerbil auditory cortex.Current biology : CB · 2026Article
- Category learning drives cortical attentional gain to diagnostic dimensions.bioRxiv : the preprint server for biology · 2025Article
- Spatially clustered neurons in the bat midbrain encode vocalization categories.Nature neuroscience · 2025Article
- Representation of conspecific vocalizations in amygdala of awake marmosets.National science review · 2023Article
- The neurobiology of vocal communication in marmosets.Annals of the New York Academy of Sciences · 2023Review
- Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model.Communications biology · 2023Article
- Quantitative models of auditory cortical processing.Hearing research · 2023Review
- Relative pitch representations and invariance to timbre.Cognition · 2023Article
- Vocalization categorization behavior explained by a feature-based auditory categorization model.eLife · 2022Article
- Principal component decomposition of acoustic and neural representations of time-varying pitch reveals adaptive efficient coding of speech covariation patterns.Brain and language · 2022Article
- Distinct timescales for the neuronal encoding of vocal signals in a high-order auditory area.Scientific reports · 2021Article
- Neuronal selectivity to complex vocalization features emerges in the superficial layers of primary auditory cortex.PLoS biology · 2021Article
- Task Engagement Improves Neural Discriminability in the Auditory Midbrain of the Marmoset Monkey.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Decoding Multiple Sound-Categories in the Auditory Cortex by Neural Networks: An fNIRS Study.Frontiers in human neuroscience · 2021Article
- Participation of Acoustic and Electric Hearing in Perceiving Musical Sounds.Frontiers in neuroscience · 2021Article
- Toward a Computational Neuroethology of Vocal Communication: From Bioacoustics to Neurophysiology, Emerging Tools and Future Directions.Frontiers in behavioral neuroscience · 2021Review
- Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex.Current biology : CB · 2020Article
- Exploring the cerebral substrate of voice perception in primate brains.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- Adaptive Efficient Coding of Correlated Acoustic Properties.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Humans and vocal animals use vocalizations to communicate with members of their species. A necessary function of auditory perception is to generalize across the high variability inherent in vocalization production and classify them into behaviorally distinct categories ('words' or 'call types'). Here, we demonstrate that detecting mid-level features in calls achieves production-invariant classification. Starting from randomly chosen marmoset call features, we use a greedy search algorithm to determine the most informative and least redundant features necessary for call classification. High classification performance is achieved using only 10-20 features per call type. Predictions of tuning properties of putative feature-selective neurons accurately match some observed auditory cortical responses. This feature-based approach also succeeds for call categorization in other species, and for other complex classification tasks such as caller identification. Our results suggest that high-level neural representations of sounds are based on task-dependent features optimized for specific computational goals.
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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.