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Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features.

Neuro-robotics --- emobodied cognition --- neural plasticity --- Neural adaptation --- Cognitive Modeling

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Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features.

Neuro-robotics --- emobodied cognition --- neural plasticity --- Neural adaptation --- Cognitive Modeling --- Neuro-robotics --- emobodied cognition --- neural plasticity --- Neural adaptation --- Cognitive Modeling

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The interplay between musical training and speech perception continues to intrigue researchers in the areas of language and music alike. Historically, language function has been attributed to brain regions localized predominately in left hemisphere, whereas music has been attributed to right hemisphere dominant regions. Recent studies demonstrating neural overlap for processing speech and music, and enhanced speech perception and production in musicians suggest that these regions may be inextricably intertwined. The extent of neural overlap between music and speech remains hotly debated, with surprisingly little empirical research exploring specific neural homo-logs and analogs. Moreover, despite recognition that shared processes likely exist throughout development and depend upon an individual’s acoustic experiences, even less research exists on how overlapping neural structures for music and language are affected by developmental trajectories. Nonetheless, the field is well poised to address key empirical questions, in part because of the recent development of new theories that address the neural and developmental interaction between music and language processing in conjunction with the broad availability of sophisticated tools for quantifying brain activity and dynamics. To understand the overlap of neural structures for language and music processing, research is needed to identify those specific functions of each that influence the other, with areas for enhanced perception of pitch and onset time having already been targeted. Research is also needed to identify the extent to which this overlap is developed in infancy or early childhood and the process by which it affects neural reorganization, plasticity, and trainability in adulthood. For this research topic, we would like to further explore the relationship between language and music in the brain from two perspectives: 1) understanding the nature of shared neural and cognitive processing for music and language and 2) understanding the developmental trajectory of these neural systems and how they are influenced by experience. We seek to gather technically diverse original research articles that present new empirical findings relevant to understanding: 1. When, in the brain, acoustic information becomes processed specifically as language or music. The shared and independent neural structures for processing music and language. 3. How acoustic experiences such as musical training influence overlap of neural structures for language and music. 4. How the overlap of processing regions changes over time due to experiences at any developmental stage.

development --- Language --- neural overlap --- neural plasticity --- Music --- Speech --- music processing --- musical training --- Auditory Perception --- Speech Processing

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

executive function --- cognitive control --- neural plasticity --- music training --- prefrontal cortex --- neural oscillation --- absolute pitch --- longitudinal study

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The interplay between musical training and speech perception continues to intrigue researchers in the areas of language and music alike. Historically, language function has been attributed to brain regions localized predominately in left hemisphere, whereas music has been attributed to right hemisphere dominant regions. Recent studies demonstrating neural overlap for processing speech and music, and enhanced speech perception and production in musicians suggest that these regions may be inextricably intertwined. The extent of neural overlap between music and speech remains hotly debated, with surprisingly little empirical research exploring specific neural homo-logs and analogs. Moreover, despite recognition that shared processes likely exist throughout development and depend upon an individual’s acoustic experiences, even less research exists on how overlapping neural structures for music and language are affected by developmental trajectories. Nonetheless, the field is well poised to address key empirical questions, in part because of the recent development of new theories that address the neural and developmental interaction between music and language processing in conjunction with the broad availability of sophisticated tools for quantifying brain activity and dynamics. To understand the overlap of neural structures for language and music processing, research is needed to identify those specific functions of each that influence the other, with areas for enhanced perception of pitch and onset time having already been targeted. Research is also needed to identify the extent to which this overlap is developed in infancy or early childhood and the process by which it affects neural reorganization, plasticity, and trainability in adulthood. For this research topic, we would like to further explore the relationship between language and music in the brain from two perspectives: 1) understanding the nature of shared neural and cognitive processing for music and language and 2) understanding the developmental trajectory of these neural systems and how they are influenced by experience. We seek to gather technically diverse original research articles that present new empirical findings relevant to understanding: 1. When, in the brain, acoustic information becomes processed specifically as language or music. The shared and independent neural structures for processing music and language. 3. How acoustic experiences such as musical training influence overlap of neural structures for language and music. 4. How the overlap of processing regions changes over time due to experiences at any developmental stage.

development --- Language --- neural overlap --- neural plasticity --- Music --- Speech --- music processing --- musical training --- Auditory Perception --- Speech Processing