Brain models music as a hierarchy of dynamical systems that encode probability distributions and complexity (i.e., entropy and uncertainty). Through musical experience over lifetime, a human is intrinsically motivated in optimizing the internalized probabilistic model for efficient information processing and the uncertainty resolution, which has been regarded as rewords. Human's behavior, however, appears to be not necessarily directing to efficiency but sometimes act inefficiently in order to explore a maximum rewards of uncertainty resolution. Previous studies suggest that the drive for novelty seeking behavior (high uncertain phenomenon) reflects human's curiosity, and that the curiosity rewards encourage humans to create and learn new r...
Predictive models in the brain rely on the continuous extraction of regularities from the environmen...
The ability to anticipate forthcoming events has clear evolutionary advantages, and predictive succe...
This is a postprint of an article submitted for consideration in Connection Science © 2009 [copyrigh...
Brain models music as a hierarchy of dynamical systems that encode probability distributions and com...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Statistical learning is the ability to learn based on transitional probability (TP) in sequential in...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Abstract Auditory prediction error responses elicited by surprising sounds can be reliably recorded ...
The information content of each successive note in a piece of music is not an intrinsic musical prop...
In recent years, the field of neuroaesthetics has gained considerable attention with music being a f...
Learning and knowledge of transitional probability in sequences like music, called statistical learn...
Copyright © 2014 Hansen and Pearce. This is an open-access article distributed under the terms of t...
In recent years, the field of neuroaesthetics has gained considerable attention with music being a f...
Engineering and Physical Sciences Research Council (EPSRC) funding via grant EP/M000702/1
Predictive models in the brain rely on the continuous extraction of regularities from the environmen...
The ability to anticipate forthcoming events has clear evolutionary advantages, and predictive succe...
This is a postprint of an article submitted for consideration in Connection Science © 2009 [copyrigh...
Brain models music as a hierarchy of dynamical systems that encode probability distributions and com...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Statistical learning is the ability to learn based on transitional probability (TP) in sequential in...
Recent neurophysiological and computational studies have proposed the hypothesis that our brain auto...
Abstract Auditory prediction error responses elicited by surprising sounds can be reliably recorded ...
The information content of each successive note in a piece of music is not an intrinsic musical prop...
In recent years, the field of neuroaesthetics has gained considerable attention with music being a f...
Learning and knowledge of transitional probability in sequences like music, called statistical learn...
Copyright © 2014 Hansen and Pearce. This is an open-access article distributed under the terms of t...
In recent years, the field of neuroaesthetics has gained considerable attention with music being a f...
Engineering and Physical Sciences Research Council (EPSRC) funding via grant EP/M000702/1
Predictive models in the brain rely on the continuous extraction of regularities from the environmen...
The ability to anticipate forthcoming events has clear evolutionary advantages, and predictive succe...
This is a postprint of an article submitted for consideration in Connection Science © 2009 [copyrigh...