ArticleThe Journal of the Acoustical Society of America2016
Relative salience of spectral and temporal features in auditory long-term memory.
Article in The Journal of the Acoustical Society of America, 2016. 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.
- Similar Response Dynamics Represent Opposite Behaviors and Rewards in the Frontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Similar Dynamic Frontal Cortex Representations of Auditory Stimuli Cueing Opposite Actions and Rewards.bioRxiv : the preprint server for biology · 2025Article
- Categorical Auditory Working Memory in Crows.iScience · 2020Article
- Dynamics and Hierarchical Encoding of Non-compact Acoustic Categories in Auditory and Frontal Cortex.Current biology : CB · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
In order to explore the representation of sound features in auditory long-term memory, two groups of ferrets were trained on Go vs Nogo, 3-zone classification tasks. The sound stimuli differed primarily along the spectral and temporal dimensions. In Group 1, two ferrets were trained to (i) classify tones based on their frequency (Tone-task), and subsequently learned to (ii) classify white noise based on its amplitude modulation rate (AM-task). In Group 2, two ferrets were trained to classify tones based on correlated combinations of their frequency and AM rate (AM-Tone task). Both groups of ferrets learned their tasks and were able to generalize performance along the trained spectral (tone frequency) or temporal (AM rate) dimensions. Insights into stimulus representations in memory were gained when the animals were tested with a diverse set of untrained probes that mixed features from the two dimensions. Animals exhibited a complex pattern of responses to the probes reflecting primarily the probes' spectral similarity with the training stimuli, and secondarily the temporal features of the stimuli. These diverse behavioral decisions could be well accounted for by a nearest-neighbor classifier model that relied on a multiscale spectrotemporal cortical representation of the training and probe sounds.
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Registered trials
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