Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Neuroscience meets music education: Exploring the implications of neural processing models on music education practice

View through CrossRef
Over the past two decades, neuroscientists have been fascinated by the way the brain processes music. Using new technologies, neuroscientists offer us a better understanding of the human brain’s structures and functions. They have further proposed explanatory models for how the brain processes music. While these models shed light on how the brain functions, they have yet to make an impact on the field of music education where skills in music processing are a central concern. This article examines the implication of one music-processing model on music education practice. This conceptual study consisted of: 1) transforming the model to make it accessible to music educators, and 2) comparing the model with the experience of learning and teaching music. The study found that there were identifiable connections between Koelsch’s model of music processing and the lived experience of music learning. These connections could inform future curriculum design and practice in music education.
Title: Neuroscience meets music education: Exploring the implications of neural processing models on music education practice
Description:
Over the past two decades, neuroscientists have been fascinated by the way the brain processes music.
Using new technologies, neuroscientists offer us a better understanding of the human brain’s structures and functions.
They have further proposed explanatory models for how the brain processes music.
While these models shed light on how the brain functions, they have yet to make an impact on the field of music education where skills in music processing are a central concern.
This article examines the implication of one music-processing model on music education practice.
This conceptual study consisted of: 1) transforming the model to make it accessible to music educators, and 2) comparing the model with the experience of learning and teaching music.
The study found that there were identifiable connections between Koelsch’s model of music processing and the lived experience of music learning.
These connections could inform future curriculum design and practice in music education.

Related Results

Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks
A complex-valued Hopfield neural network (CHNN) with a multistate activation function is a multistate model of neural associative memory. The weight parameters need a lot of memory...
Visual processing abilities associated with piano music sight-reading expertise
Visual processing abilities associated with piano music sight-reading expertise
Visual processing expertise in musicians has traditionally focused on the difference between expert and non-expert music sight-readers. More generally, differences between musician...
Detection of whale calls in noise: Performance comparison between a beluga whale, human listeners, and a neural network
Detection of whale calls in noise: Performance comparison between a beluga whale, human listeners, and a neural network
This article examines the masking by anthropogenic noise of beluga whale calls. Results from human masking experiments and a software backpropagation neural network are compared to...
A pragmatic approach to the ontology of models
A pragmatic approach to the ontology of models
AbstractWhat are scientific models? Philosophers of science have been trying to answer this question during the last three decades by putting forward a number of different proposal...
Noise Robust Projection Rule for Klein Hopfield Neural Networks
Noise Robust Projection Rule for Klein Hopfield Neural Networks
Multistate Hopfield models, such as complex-valued Hopfield neural networks (CHNNs), have been used as multistate neural associative memories. Quaternion-valued Hopfield neural net...
Synaptic Dynamics in Analog VLSI
Synaptic Dynamics in Analog VLSI
Synapses are crucial elements for computation and information transfer in both real and artificial neural systems. Recent experimental findings and theoretical models of pulse-base...
A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe
We present a neural model for olfactory sensory memory in the honeybee's antennal lobe. To investigate the neural mechanisms underlying odor discrimination and memorization, we exp...
Pop and world music in Dutch music education: two cases of authentic learning in music teacher education and secondary music education
Pop and world music in Dutch music education: two cases of authentic learning in music teacher education and secondary music education
Popular and world music play an important role in Dutch music education. This article examines two case studies that illustrate authentic music learning environments in which these...

Back to Top