ArticleNeuron2018
Training Humans to Categorize Monkey Calls: Auditory Feature- and Category-Selective Neural Tuning Changes.
Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 49 citations in OpenAlex.
- Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.bioRxiv : the preprint server for biology · 2026Article
- Reverse Hierarchical Processing of Speech in Talker Identification.The European journal of neuroscience · 2026Article
- Category learning drives cortical attentional gain to diagnostic dimensions.bioRxiv : the preprint server for biology · 2025Article
- Article
- Cortical-striatal brain network distinguishes deepfake from real speaker identity.Communications biology · 2024Article
- Hearing in categories aids speech streaming at the "cocktail party".bioRxiv : the preprint server for biology · 2024Article
- Attention to audiovisual speech shapes neural processing through feedback-feedforward loops between different nodes of the speech network.PLoS biology · 2024Article
- Multisensory perception constrains the formation of object categories: a review of evidence from sensory-driven and predictive processes on categorical decisions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Evidence for a Spoken Word Lexicon in the Auditory Ventral Stream.Neurobiology of language (Cambridge, Mass.) · 2023Article
- Resolving the time course of visual and auditory object categorization.Journal of neurophysiology · 2022Article
- Donut-like organization of inhibition underlies categorical neural responses in the midbrain.Nature communications · 2022Article
- From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis.Frontiers in human neuroscience · 2022Review
- Neural dynamics underlying the acquisition of distinct auditory category structures.NeuroImage · 2021Article
- Learning nonnative speech sounds changes local encoding in the adult human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Circadian fluctuations in glucocorticoid level predict perceptual discrimination sensitivity.iScience · 2021Article
- Categorizing human vocal signals depends on an integrated auditory-frontal cortical network.Human brain mapping · 2021Article
- Cerebral Representation of Sound Localization Using Functional Near-Infrared Spectroscopy.Frontiers in neuroscience · 2021Article
- Formant-Based Recognition of Words and Other Naturalistic Sounds in Rhesus Monkeys.Frontiers in neuroscience · 2021Article
- Computational and neurophysiological principles underlying auditory perceptual decisions.Current opinion in physiology · 2020Article
- Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex.Current biology : CB · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Grouping auditory stimuli into common categories is essential for a variety of auditory tasks, including speech recognition. We trained human participants to categorize auditory stimuli from a large novel set of morphed monkey vocalizations. Using fMRI-rapid adaptation (fMRI-RA) and multi-voxel pattern analysis (MVPA) techniques, we gained evidence that categorization training results in two distinct sets of changes: sharpened tuning to monkey call features (without explicit category representation) in left auditory cortex and category selectivity for different types of calls in lateral prefrontal cortex. In addition, the sharpness of neural selectivity in left auditory cortex, as estimated with both fMRI-RA and MVPA, predicted the steepness of the categorical boundary, whereas categorical judgment correlated with release from adaptation in the left inferior frontal gyrus. These results support the theory that auditory category learning follows a two-stage model analogous to the visual domain, suggesting general principles of perceptual category learning in the human brain.
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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.