ArticlePLoS biology2021
Neuronal selectivity to complex vocalization features emerges in the superficial layers of primary auditory cortex.
Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 35 citations in OpenAlex.
- Family identity is represented within vocal categories by the gerbil auditory cortex.Current biology : CB · 2026Article
- A cortical output channel for perceptual categorization.Science advances · 2026Article
- Multiparametric Classification of Pure-tone Responses Distinguishes Neurons in Inferior Colliculus Subdivisions.bioRxiv : the preprint server for biology · 2026Article
- Auditory Representation of Vocal Signals in a Pallial Cortical Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Laminar Distribution of Spectrotemporal Receptive Field Subtypes in the Primary Auditory Cortex of Echolocating Bats.Annals of the New York Academy of Sciences · 2025Article
- Article
- Category learning drives cortical attentional gain to diagnostic dimensions.bioRxiv : the preprint server for biology · 2025Article
- Dissociable Roles of the Auditory Midbrain and Cortex in Processing the Statistical Features of Natural Sound Textures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Article
- 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
- Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins (Frontiers in neuroanatomy · 2023Article
- Vocalization categorization behavior explained by a feature-based auditory categorization model.eLife · 2022Article
- Updates to the guinea pig animal model for in-vivo auditory neuroscience in the low-frequency hearing range.Hearing research · 2022Article
- Distinct neuronal types contribute to hybrid temporal encoding strategies in primate auditory cortex.PLoS biology · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Early in auditory processing, neural responses faithfully reflect acoustic input. At higher stages of auditory processing, however, neurons become selective for particular call types, eventually leading to specialized regions of cortex that preferentially process calls at the highest auditory processing stages. We previously proposed that an intermediate step in how nonselective responses are transformed into call-selective responses is the detection of informative call features. But how neural selectivity for informative call features emerges from nonselective inputs, whether feature selectivity gradually emerges over the processing hierarchy, and how stimulus information is represented in nonselective and feature-selective populations remain open question. In this study, using unanesthetized guinea pigs (GPs), a highly vocal and social rodent, as an animal model, we characterized the neural representation of calls in 3 auditory processing stages-the thalamus (ventral medial geniculate body (vMGB)), and thalamorecipient (L4) and superficial layers (L2/3) of primary auditory cortex (A1). We found that neurons in vMGB and A1 L4 did not exhibit call-selective responses and responded throughout the call durations. However, A1 L2/3 neurons showed high call selectivity with about a third of neurons responding to only 1 or 2 call types. These A1 L2/3 neurons only responded to restricted portions of calls suggesting that they were highly selective for call features. Receptive fields of these A1 L2/3 neurons showed complex spectrotemporal structures that could underlie their high call feature selectivity. Information theoretic analysis revealed that in A1 L4, stimulus information was distributed over the population and was spread out over the call durations. In contrast, in A1 L2/3, individual neurons showed brief bursts of high stimulus-specific information and conveyed high levels of information per spike. These data demonstrate that a transformation in the neural representation of calls occurs between A1 L4 and A1 L2/3, leading to the emergence of a feature-based representation of calls in A1 L2/3. Our data thus suggest that observed cortical specializations for call processing emerge in A1 and set the stage for further mechanistic studies.
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