ArticleFrontiers in neuroscience2022
Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 40 citations in OpenAlex.
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- Coincidence detection and integration behavior in spiking neural networks.Cognitive neurodynamics · 2024Article
- Noises on-How the Brain Deals with Acoustic Noise.Biology · 2024Review
- Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.Brain : a journal of neurology · 2023Review
- Review
- Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.Scientific reports · 2023Article
- Editorial: Auditory perception and phantom perception in brains, minds and machines.Frontiers in neuroscience · 2023Article
- Control of noise-induced coherent oscillations in three-neuron motifs.Cognitive neurodynamics · 2022Article
- Neural network based successor representations to form cognitive maps of space and language.Scientific reports · 2022Article
- Neural correlates of linguistic collocations during continuous speech perception.Frontiers in psychology · 2022Article
- Tinnitus is associated with improved cognitive performance and speech perception-Can stochastic resonance explain?Frontiers in aging neuroscience · 2022Article
- Dynamics and Information Import in Recurrent Neural Networks.Frontiers in computational neuroscience · 2022Article
- Simulated transient hearing loss improves auditory sensitivity.Scientific reports · 2021Article
- Analysis and visualization of sleep stages based on deep neural networks.Neurobiology of sleep and circadian rhythms · 2021Article
- Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception.Frontiers in neuroscience · 2020Article
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Noise is generally considered to harm information processing performance. However, in the context of stochastic resonance, noise has been shown to improve signal detection of weak sub- threshold signals, and it has been proposed that the brain might actively exploit this phenomenon. Especially within the auditory system, recent studies suggest that intrinsic noise plays a key role in signal processing and might even correspond to increased spontaneous neuronal firing rates observed in early processing stages of the auditory brain stem and cortex after hearing loss. Here we present a computational model of the auditory pathway based on a deep neural network, trained on speech recognition. We simulate different levels of hearing loss and investigate the effect of intrinsic noise. Remarkably, speech recognition after hearing loss actually improves with additional intrinsic noise. This surprising result indicates that intrinsic noise might not only play a crucial role in human auditory processing, but might even be beneficial for contemporary machine learning approaches.
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