Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain

In everyday life, our brains integrate various kinds of information from different modalities to perceive our complex environment. Spatial and temporal proximity of multisensory stimuli is required for multisensory integration. Many researches have shown that temporal asynchrony of visual-auditory stimuli can influence multisensory integration. However, the neural mechanisms of asynchrony inputs were not well understood. Some researchers believe that humans have a relatively broad time window, in which stimuli from different modalities and asynchronous inputs tends to be integrated into a single unified percept. Others believe that the human brain can actively coordinate the auditory and visual input so that we do not notice the asynchronous inputs of multisensory stimuli. This review focuses on the question of how the temporal factor affects the processing of audiovisual information.

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FRACTAL-BASED ANALYSIS OF THE INFLUENCE OF VARIATIONS OF RHYTHMIC PATTERNS OF MUSIC ON HUMAN BRAIN RESPONSE

Fractals ◽

10.1142/s0218348x18500809 ◽

2018 ◽

Vol 26 (05) ◽

pp. 1850080 ◽

Cited By ~ 25

Author(s):

ZHALEH MOHAMMAD ALIPOUR ◽

REZA KHOSROWABADI ◽

HAMIDREZA NAMAZI

Keyword(s):

Human Brain ◽

Human Behavior ◽

Fractal Structure ◽

Brain Activity ◽

Chaotic Signal ◽

Auditory Stimuli ◽

Eeg Signal ◽

Brain Response ◽

Human Eeg ◽

The Brain

Analysis of human behavior is one of the major research topics in neuroscience. It is known that human behavior is related to his brain activity. In this way, the analysis of human brain activity is the root for analysis of his behavior. Electroencephalography (EEG) as one of the most famous methods for measuring of the brain activity generates a chaotic signal, which has fractal characteristic. This study reveals the relation between the fractal structure (complexity) of human EEG signal and the applied auditory stimuli. For this purpose, we chose a range of auditory stimuli with different rhythmic patterns. We demonstrated that the fractal structure of human EEG signal changes significantly based on different rhythmic patterns. The capability observed in this research can be applied to other kinds of stimuli in order to classify the brain response based on the types of stimuli.

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Measurement of Visual and Auditory Stimuli Using EEG Headset Emotiv Epoc+

MATEC Web of Conferences ◽

10.1051/matecconf/201929201023 ◽

2019 ◽

Vol 292 ◽

pp. 01023

Author(s):

Martina Zabcikova

Keyword(s):

Human Brain ◽

Brain Computer Interface ◽

Computer Interface ◽

Auditory Stimuli ◽

External Device ◽

Eeg Signals ◽

Direct Communication ◽

Communication Pathway

Brain-Computer Interface (BCI) has received a huge interest as a direct communication pathway between a human brain and an external device. BCI is very useful in many areas of research. This study examines and discusses the feasibility and usability of the Emotiv Epoc+ noninvasive device. The focus is on the analysis of electroencephalography (EEG) signals associated with visual and auditory senses. To measure signals the free version of software Emotiv Xavier ControlPanel is used. The results depict that the Emotiv Epoc+ device is a suitable option in BCI for scientific and entertainment purposes.

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Conscious and preconscious adaptation to rhythmic auditory stimuli: a magnetoencephalographic study of human brain responses

Experimental Brain Research ◽

10.1007/s002210000507 ◽

2000 ◽

Vol 135 (2) ◽

pp. 222-230 ◽

Cited By ~ 33

Author(s):

F. Tecchio ◽

C. Salustri ◽

M. H. Thaut ◽

P. Pasqualetti ◽

P. M. Rossini

Keyword(s):

Human Brain ◽

Auditory Stimuli ◽

Brain Responses

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Language processing is not a race against time

Behavioral and Brain Sciences ◽

10.1017/s0140525x15000692 ◽

2016 ◽

Vol 39 ◽

Cited By ~ 1

Author(s):

Giosuè Baggio ◽

Carmelo M. Vicario

Keyword(s):

Information Processing ◽

Human Brain ◽

Language Processing ◽

Cognitive Functions ◽

Memory Systems ◽

Language System ◽

Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

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Structural and Chemical Studies of Pathological Fibers in Human Neurofibrillary Degeneration

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010012031x ◽

1985 ◽

Vol 43 ◽

pp. 726-729

Author(s):

K.S. Kosik ◽

L.K. Duffy ◽

S. Bakalis ◽

C. Abraham ◽

D.J. Selkoe

Keyword(s):

Monoclonal Antibodies ◽

Alzheimer Disease ◽

Human Brain ◽

Neurofibrillary Tangles ◽

Morphological Analysis ◽

High Specificity ◽

Cytoskeletal Proteins ◽

Neuritic Plaque ◽

Protein Chemistry ◽

Chemical Studies

The major structural lesions of the human brain during aging and in Alzheimer disease (AD) are the neurofibrillary tangles (NFT) and the senile (neuritic) plaque. Although these fibrous alterations have been recognized by light microscopists for almost a century, detailed biochemical and morphological analysis of the lesions has been undertaken only recently. Because the intraneuronal deposits in the NFT and the plaque neurites and the extraneuronal amyloid cores of the plaques have a filamentous ultrastructure, the neuronal cytoskeleton has played a prominent role in most pathogenetic hypotheses.The approach of our laboratory toward elucidating the origin of plaques and tangles in AD has been two-fold: the use of analytical protein chemistry to purify and then characterize the pathological fibers comprising the tangles and plaques, and the use of certain monoclonal antibodies to neuronal cytoskeletal proteins that, despite high specificity, cross-react with NFT and thus implicate epitopes of these proteins as constituents of the tangles.

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Toward a neuroscope: An application of high-performance computing for real-time evaluation of brain function using MRI

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100172346 ◽

1994 ◽

Vol 52 ◽

pp. 922-923

Author(s):

C. S. Potter ◽

C. D. Gregory ◽

H. D. Morris ◽

Z.-P. Liang ◽

P. C. Lauterbur

Keyword(s):

Human Brain ◽

Brain Function ◽

High Performance ◽

Complex Signal ◽

Time Step ◽

Brain Organization ◽

Cognitive Studies ◽

Positron Emission ◽

Imaging And Spectroscopy ◽

3D Anatomy

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.

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