ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019
Cascaded Tuning to Amplitude Modulation for Natural Sound Recognition.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- From sound to source: Human and model recognition of environmental sounds.bioRxiv : the preprint server for biology · 2026Article
- Sound feature representations decorrelate across the mouse auditory pathway.PLoS biology · 2025Article
- Interference of Mid-level Speech and Noise Statistics Underlies Human Speech Recognition Sensitivity in Natural Environmental Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Precise spike-timing information in the brainstem is well aligned with the needs of communication and the perception of environmental sounds.PLoS biology · 2025Article
- Population coding of time-varying sounds in the nonlemniscal inferior colliculus.Journal of neurophysiology · 2024Article
- Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.PLoS biology · 2023Article
- Population coding of time-varying sounds in the non-lemniscal Inferior Colliculus.bioRxiv : the preprint server for biology · 2023Article
- Hearing as adaptive cascaded envelope interpolation.Communications biology · 2023Article
- Human-Like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Encoding of speech in convolutional layers and the brain stem based on language experience.Scientific reports · 2023Article
- Inferring the basis of binaural detection with a modified autoencoder.Frontiers in neuroscience · 2023Article
- Auditory and cross-modal attentional bias toward positive natural sounds: Behavioral and ERP evidence.Frontiers in human neuroscience · 2022Article
- Spiking network optimized for word recognition in noise predicts auditory system hierarchy.PLoS computational biology · 2020Article
- Convolutional neural networks explain tuning properties of anterior, but not middle, face-processing areas in macaque inferotemporal cortex.Communications biology · 2020Article
- Human Auditory Ecology: Extending Hearing Research to the Perception of Natural Soundscapes by Humans in Rapidly Changing Environments.Trends in hearingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The auditory system converts the physical properties of a sound waveform to neural activities and processes them for recognition. During the process, the tuning to amplitude modulation (AM) is successively transformed by a cascade of brain regions. To test the functional significance of the AM tuning, we conducted single-unit recording in a deep neural network (DNN) trained for natural sound recognition. We calculated the AM representation in the DNN and quantitatively compared it with those reported in previous neurophysiological studies. We found that an auditory-system-like AM tuning emerges in the optimized DNN. Better-recognizing models showed greater similarity to the auditory system. We isolated the factors forming the AM representation in the different brain regions. Because the model was not designed to reproduce any anatomical or physiological properties of the auditory system other than the cascading architecture, the observed similarity suggests that the AM tuning in the auditory system might also be an emergent property for natural sound recognition during evolution and development.
Indexed as
Identifiers
What OpenQuestion holds
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.