AIMC Topic: Auditory Perception
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Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions.
PLoS biology
Dec 13, 2023
Models that predict brain responses to stimuli provide one measure of understanding of a sensory system and have many potential applications in science and engineering. Deep artificial neural networks have emerged as the leading such predictive model...
Use of a humanoid robot for auditory psychophysical testing.
PloS one
Dec 13, 2023
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO robot, named Sam, as an alternative interface for conducting psychophysi...
Auditory perception architecture with spiking neural network and implementation on FPGA.
Neural networks : the official journal of the International Neural Network Society
May 23, 2023
Spike-based perception brings up a new research idea in the field of neuromorphic engineering. A high-performance biologically inspired flexible spiking neural network (SNN) architecture provides a novel method for the exploration of perception mecha...
Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures.
Sensors (Basel, Switzerland)
May 2, 2023
Conventional processing of sensory input often relies on uniform sampling leading to redundant information and unnecessary resource consumption throughout the entire processing pipeline. Neuromorphic computing challenges these conventions by mimickin...
Deep Learning-Based Road Traffic Noise Annoyance Assessment.
International journal of environmental research and public health
Mar 15, 2023
With the development of urban road traffic, road noise pollution is becoming a public concern. Controlling and reducing the harm caused by traffic noise pollution have been the hot spots of traffic noise management research. The subjective annoyance ...
Evidence of a predictive coding hierarchy in the human brain listening to speech.
Nature human behaviour
Mar 2, 2023
Considerable progress has recently been made in natural language processing: deep learning algorithms are increasingly able to generate, summarize, translate and classify texts. Yet, these language models still fail to match the language abilities of...
Deep neural network models of sound localization reveal how perception is adapted to real-world environments.
Nature human behaviour
Jan 27, 2022
Mammals localize sounds using information from their two ears. Localization in real-world conditions is challenging, as echoes provide erroneous information and noises mask parts of target sounds. To better understand real-world localization, we equi...
Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.
PLoS computational biology
Dec 8, 2021
Sensory deprivation has long been known to cause hallucinations or "phantom" sensations, the most common of which is tinnitus induced by hearing loss, affecting 10-20% of the population. An observable hearing loss, causing auditory sensory deprivatio...
Predicting subclinical psychotic-like experiences on a continuum using machine learning.
NeuroImage
Jul 22, 2021
Previous studies applying machine learning methods to psychosis have primarily been concerned with the binary classification of chronic schizophrenia patients and healthy controls. The aim of this study was to use electroencephalographic (EEG) data a...
Behavioral correlates of cortical semantic representations modeled by word vectors.
PLoS computational biology
Jun 23, 2021
The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field o...
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