AIMC Topic: Auditory Perception

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Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment.

Scientific reports Apr 16, 2020
Human learning is one of the main topics in psychology and cognitive neuroscience. The analysis of experimental data, e.g. from category learning experiments, is a major challenge due to confounding factors related to perceptual processing, feedback ...
Humans Adolescent Machine Learning Time Factors Algorithms Learning Normal Distribution Auditory Perception Female Young Adult Adult Male
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The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.

NeuroImage Feb 18, 2020
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist bet...
Music Temporal Lobe Auditory Perception Male Humans Support Vector Machine Spectroscopy, Near-Infrared Female Video Recording Functional Neuroimaging Young Adult Pleasure Adult Nerve Net
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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...
Neural Networks, Computer Deep Learning Speech Acoustic Stimulation Humans Photic Stimulation Visual Perception Auditory Perception
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A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Dec 28, 2019
Speech is the most significant mode of communication among human beings and a potential method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable emotion recognition using these sensors from speech signals is an emerging ...
Sound Spectrography Databases as Topic Pattern Recognition, Automated Auditory Perception Speech Emotions Signal Processing, Computer-Assisted Humans Neural Networks, Computer
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The Interaction Between Feedback Type and Learning in Routine Grasping With Myoelectric Prostheses.

IEEE transactions on haptics Dec 23, 2019
While prosthetic fitting after upper-limb loss allows for restoration of motor functions, it deprives the amputee of tactile sensations that are essential for grasp control in able-bodied subjects. Therefore, it is commonly assumed that restoring the...
Arm Motor Activity Visual Perception Feedback, Sensory Electromyography Artificial Limbs Prosthesis Design Physical Stimulation Auditory Perception Touch Perception Humans Learning Female Young Adult Adult Male Robotics
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Biometric identification of listener identity from frequency following responses to speech.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran a...
Male Machine Learning Speech Perception Speech Language Humans Auditory Perception Electroencephalography Female Biometric Identification Adult
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Cascaded Tuning to Amplitude Modulation for Natural Sound Recognition.

The Journal of neuroscience : the official journal of the Society for Neuroscience May 15, 2019
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. T...
Auditory Perception Neural Networks, Computer Brain Models, Neurological Sound Humans
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Adaptive neural network classifier for decoding MEG signals.

NeuroImage May 4, 2019
We introduce two Convolutional Neural Network (CNN) classifiers optimized for inferring brain states from magnetoencephalographic (MEG) measurements. Network design follows a generative model of the electromagnetic (EEG and MEG) brain signals allowin...
Male Brain Mapping Electroencephalography Signal Processing, Computer-Assisted Evoked Potentials Visual Perception Auditory Perception Algorithms Brain Female Humans Adult Magnetoencephalography Neural Networks, Computer Touch Perception
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Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.

NeuroImage Oct 23, 2018
An artificial neural network with multiple hidden layers (known as a deep neural network, or DNN) was employed as a predictive model (DNN) for the first time to predict emotional responses using whole-brain functional magnetic resonance imaging (fMRI...
Image Processing, Computer-Assisted Support Vector Machine Humans Magnetic Resonance Imaging Brain Mapping Adult Neural Networks, Computer Auditory Perception Emotions Male Brain Deep Learning Young Adult
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Identifying Suitable Brain Regions and Trial Size Segmentation for Positive/Negative Emotion Recognition.

International journal of neural systems Sep 18, 2018
The development of suitable EEG-based emotion recognition systems has become a main target in the last decades for Brain Computer Interface applications (BCI). However, there are scarce algorithms and procedures for real-time classification of emotio...
Cerebral Cortex Visual Perception Auditory Perception Support Vector Machine Humans Emotions Adult Electroencephalography Time Factors Signal Processing, Computer-Assisted
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