• Corpus ID: 2142948

Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG

@article{Sanyal2017GestaltPI,
  title={Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG},
  author={Shankha Sanyal and Archi Banerjee and Souparno Roy and Sourya Sengupta and Sayan Biswas and Sayan Nag and Ranjan Sengupta and Dipak Ghosh},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.06491}
}
The term gestalt has been widely used in the field of psychology which defined the perception of human mind to group any object not in part but as a unified whole. Music in general is polytonic i.e. a combination of a number of pure tones (frequencies) mixed together in a manner that sounds harmonius. The study of human brain response due to different frequency groups of acoustic signal can give us an excellent insight regarding the neural and functional architecture of brain functions. In this… 

Figures and Tables from this paper

A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
TLDR
This is the first of its kind study which proposes a novel algorithm with which emotional arousal can be classified in cross-modal scenario using only the source audio and visual signals while also attempting a correlation between them.
Language Independent Emotion Quantification using Non linear Modelling of Speech
TLDR
This work has modelled the articulation system using nonlinear multifractal analysis and gives a very good result in emotion clustering.
FRACTAL ARTS : A 2 D-MFDFA APPROACH
“Art attracts us only by what it reveals of our most secret self.”Alfred North Whitehead The basic building blocks upon which the natural world is built are Fractals. Recognizing these patterns in

References

SHOWING 1-10 OF 41 REFERENCES
Study on Brain Dynamics by Non Linear Analysis of Music Induced EEG Signals
Detrended Fluctuation and Power Spectral Analysis of alpha and delta EEG brain rhythms to study music elicited emotion
TLDR
The study reports the effect of two different types of Hindustani music which are supposed to evoke contrasting emotions on brain activity using Electroencephalography (EEG) data and uses a robust nonlinear method called Detrended Fluctuation Analysis (DFA) to analyze the scaling behavior of the observed fluctuations in EEG.
Universality in the brain while listening to music
TLDR
By statistical surrogate analysis, nonlinear phase interaction was found to play an important role in exhibiting universality among multiple cortical regions and a Kullback - Leibler divergence measure was found.
Multifractal Detrended Fluctuation Analysis of alpha and theta EEG rhythms with musical stimuli
Enhanced phase synchrony in the electroencephalograph gamma band for musicians while listening to music.
TLDR
High degree of synchronization elicited by music in the group of musicians might be due to their ability to host long-term memory representations of music and mediate access to these stored representations.
Intercentral Relations of the Human EEG during Listening to Music
Different musical styles and intensities produce characteristic patterns of changes in the correlation of neocortical biopotentials. Classical music of three intensities and rock music of medium and
A Study of the effect of sound on EEG
TLDR
A brief study of various effects of sound on the human brain activity in the form of variation in either frequency or in the power of different EEG bands is presented.
Detrended Fluctuation Analysis of the Human EEG during Listening to Emotional Music
A nonlinear method named detrended fluctuation analysis (DFA) was utilized to investigate the scaling behavior of the human electroencephalogram (EEG) in three emotional music conditions (fear,
Music and emotion: electrophysiological correlates of the processing of pleasant and unpleasant music.
TLDR
Findings show that Fm theta is modulated by emotion more strongly than previously believed.
Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions
TLDR
These data appear to be the first to distinguish valence and intensity of musical emotions on frontal electrocortical measures.
...
...