AIMC Topic: Acoustic Stimulation
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Artificial Neural Networks Solve Musical Problems With Fourier Phase Spaces.
Scientific reports
Apr 28, 2020
How does the brain represent musical properties? Even with our growing understanding of the cognitive neuroscience of music, the answer to this question remains unclear. One method for conceiving possible representations is to use artificial neural n...
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.
Neural computation
Jan 17, 2020
Sensory processing is increasingly conceived in a predictive framework in which neurons would constantly process the error signal resulting from the comparison of expected and observed stimuli. Surprisingly, few data exist on the accuracy of predicti...
Responses of midbrain auditory neurons to two different environmental sounds-A new approach on cross-sound modeling.
Bio Systems
Sep 28, 2019
When modeling auditory responses to environmental sounds, results are satisfactory if both training and testing are restricted to datasets of one type of sound. To predict 'cross-sound' responses (i.e., to predict the response to one type of sound e....
Automated Assessment of Oral Diadochokinesis in Multiple Sclerosis Using a Neural Network Approach: Effect of Different Syllable Repetition Paradigms.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 23, 2019
Slow and irregular oral diadochokinesis represents an important manifestation of spastic and ataxic dysarthria in multiple sclerosis (MS). We aimed to develop a robust algorithm based on convolutional neural networks for the accurate detection of syl...
Distinct Mechanisms of Imagery Differentially Influence Speech Perception.
eNeuro
Sep 19, 2019
Neural representation can be induced without external stimulation, such as in mental imagery. Our previous study found that imagined speaking and imagined hearing modulated perceptual neural responses in opposite directions, suggesting motor-to-senso...
Detecting changes in facial temperature induced by a sudden auditory stimulus based on deep learning-assisted face tracking.
Scientific reports
Mar 18, 2019
Thermal Imaging (Infrared-Imaging-IRI) is a promising new technique for psychophysiological research and application. Unlike traditional physiological measures (like skin conductance and heart rate), it is uniquely contact-free, substantially enhanci...
Objective auditory brainstem response classification using machine learning.
International journal of audiology
Jan 21, 2019
OBJECTIVE: The objective of this study was to use machine learning in the form of a deep neural network to objectively classify paired auditory brainstem response waveforms into either: 'clear response', 'inconclusive' or 'response absent'.
EEG correlation at a distance: A re-analysis of two studies using a machine learning approach.
F1000Research
Jan 10, 2019
In this paper, data from two studies relative to the relationship between the electroencephalogram (EEG) activities of two isolated and physically separated subjects were re-analyzed using machine-learning algorithms. The first dataset comprises the...
The onset and post-onset auditory responses of cochlear nucleus neurons are modulated differently by cortical activation.
Hearing research
Dec 31, 2018
Auditory cortex exhibit a capacity of modulating the functions of subcortical auditory nuclei and even inner ear through descending pathways. The cochlear nucleus (CN), which acts as the gateway from the auditory periphery to the central auditory sys...
Modeling Neural Adaptation in Auditory Cortex.
Frontiers in neural circuits
Sep 5, 2018
Neural responses recorded from auditory cortex exhibit adaptation, a stimulus-specific decrease that occurs when the same sound is presented repeatedly. Stimulus-specific adaptation is thought to facilitate perception in noisy environments. Although ...
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