ArticleiScience2023
The perceptual categorization of multidimensional stimuli is hierarchically organized.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Lateralized local circuit tuning in female mouse auditory cortex.Neuroscience research · 2025Article
- Challenges and advanced concepts for the assessment of learning and memory function in mice.Frontiers in behavioral neuroscience · 2023Review
- Subcortical coding of predictable and unsupervised sound-context associations.Current research in neurobiology · 2023Article
- IntelliCage: the development and perspectives of a mouse- and user-friendly automated behavioral test system.Frontiers in behavioral neuroscience · 2023Review
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Authors and funding
2 authors.
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Abstract
As we interact with our surroundings, we encounter the same or similar objects from different perspectives and are compelled to generalize. For example, despite their variety we recognize dog barks as a distinct sound class. While we have some understanding of generalization along a single stimulus dimension (frequency, color), natural stimuli are identifiable by a combination of dimensions. Measuring their interaction is essential to understand perception. Using a 2-dimension discrimination task for mice and frequency or amplitude modulated sounds, we tested untrained generalization across pairs of auditory dimensions in an automatized behavioral paradigm. We uncovered a perceptual hierarchy over the tested dimensions that was dominated by the sound's spectral composition. Stimuli are thus not perceived as a whole, but as a combination of their features, each of which weights differently on the identification of the stimulus according to an established hierarchy, possibly paralleling their differential shaping of neuronal tuning.
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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.