Article

Investigating Invariances in Auditory Event Categorization with Model Metamers

2026-08-05

Abstract excerpt

Real-world acoustic inputs contain rich sensory information that we parse into discrete auditory objects and categories. Although deep neural networks (DNNs) are increasingly used to model auditory perception, the field lacks rigorous behavioral benchmarks, particularly for auditory event categorization. Here, we developed a 25-way categorization paradigm for broad classes of natural sounds to test whether categor...

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Literature Corpus work: c837724a-66f0-5f89-95cd-c8145fc3e287
DOI: 10.64898/2026.07.31.741881

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