A hierarchy of processing complexity and timescales for natural sounds in the human auditory cortex
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View abstract on PubMed
Summary
This summary is machine-generated.Humans rapidly categorize sounds using the auditory cortex. This study reveals how representational complexity and temporal dynamics across auditory regions support sound categorization, suggesting hierarchical organization.
Area Of Science
- Neuroscience
- Auditory Perception
- Computational Neuroscience
Background
- Efficient sound categorization is crucial for human behavior.
- The organization and dynamics of sound categorization in the auditory cortex are not fully understood.
Purpose Of The Study
- To investigate the neural organization and temporal dynamics of sound categorization in the human auditory cortex.
- To map representational complexity across auditory cortical regions using deep neural network models.
Main Methods
- Intracerebral recordings were performed in 20 patient-participants during epilepsy surgery evaluation.
- Encoding models predicted neural responses using sound representations from a deep neural network (DNN).
- Representational complexity and temporal dynamics were analyzed in relation to anatomical location.
Main Results
- DNN layer depth accurately predicted neural responses across the auditory cortex, correlating with anatomical regions (core, lateral belt, parabelt).
- Representational complexity increased along specific anatomical gradients within these regions.
- Emergence of feature representations and representational complexity increased along the auditory hierarchy, with separable effects of region and temporal dynamics.
Conclusions
- Hierarchies of timescales and representational complexity are key organizational principles in the auditory stream.
- These hierarchies support the rapid categorization of sounds.
- The findings provide insights into the functional organization of the auditory cortex.
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