Human speech and music share a number of similarities and differences. One of the closest similarities is their temporal nature as both (i) develop over time, (ii) form sequences of temporal intervals, possibly differing in duration and acoustical marking by different spectral properties, which are perceived as a rhythm, and (iii) generate metrical expectations. Human brains are particularly efficient in perceiving, producing, and processing fine rhythmic information in music and speech. However a number of critical questions remain to be answered: Where does this human sensitivity for rhythm arise? How did rhythm cognition develop in human evolution? How did environmental rhythms affect the evolution of brain rhythms? Which rhythm-specific neural circuits are shared between speech and music, or even with other domains? Evolutionary processes’ long time scales often prevent direct observation: understanding the psychology of rhythm and its evolution requires a close-fitting integration of different perspectives. First, empirical observations of music and speech in the field are contrasted and generate testable hypotheses. Experiments exploring linguistic and musical rhythm are performed across sensory modalities, ages, and animal species to address questions about domain-specificity, development, and an evolutionary path of rhythm. Finally, experimental insights are integrated via synthetic modeling, generating testable predictions about brain oscillations underlying rhythm cognition and its evolution. Our understanding of the cognitive, neurobiological, and evolutionary bases of rhythm is rapidly increasing. However, researchers in different fields often work on parallel, potentially converging strands with little mutual awareness. This research topic builds a bridge across several disciplines, focusing on the cognitive neuroscience of rhythm as an evolutionary process. It includes contributions encompassing, although not limited to: (1) developmental and comparative studies of rhythm (e.g. critical acquisition periods, innateness); (2) evidence of rhythmic behavior in other species, both spontaneous and in controlled experiments; (3) comparisons of rhythm processing in music and speech (e.g. behavioral experiments, systems neuroscience perspectives on music-speech networks); (4) evidence on rhythm processing across modalities and domains; (5) studies on rhythm in interaction and context (social, affective, etc.); (6) mathematical and computational (e.g. connectionist, symbolic) models of “rhythmicity” as an evolved behavior.

Human speech and music share a number of similarities and differences. One of the closest similarities is their temporal nature as both (i) develop over time, (ii) form sequences of temporal intervals, possibly differing in duration and acoustical marking by different spectral properties, which are perceived as a rhythm, and (iii) generate metrical expectations. Human brains are particularly efficient in perceiving, producing, and processing fine rhythmic information in music and speech. However a number of critical questions remain to be answered: Where does this human sensitivity for rhythm arise? How did rhythm cognition develop in human evolution? How did environmental rhythms affect the evolution of brain rhythms? Which rhythm-specific neural circuits are shared between speech and music, or even with other domains? Evolutionary processes' long time scales often prevent direct observation: understanding the psychology of rhythm and its evolution requires a close-fitting integration of different perspectives. First, empirical observations of music and speech in the field are contrasted and generate testable hypotheses. Experiments exploring linguistic and musical rhythm are performed across sensory modalities, ages, and animal species to address questions about domain-specificity, development, and an evolutionary path of rhythm. Finally, experimental insights are integrated via synthetic modeling, generating testable predictions about brain oscillations underlying rhythm cognition and its evolution. Our understanding of the cognitive, neurobiological, and evolutionary bases of rhythm is rapidly increasing. However, researchers in different fields often work on parallel, potentially converging strands with little mutual awareness. This research topic builds a bridge across several disciplines, focusing on the cognitive neuroscience of rhythm as an evolutionary process. It includes contributions encompassing, although not limited to: (1) developmental and comparative studies of rhythm (e.g. critical acquisition periods, innateness); (2) evidence of rhythmic behavior in other species, both spontaneous and in controlled experiments; (3) comparisons of rhythm processing in music and speech (e.g. behavioral experiments, systems neuroscience perspectives on music-speech networks); (4) evidence on rhythm processing across modalities and domains; (5) studies on rhythm in interaction and context (social, affective, etc.); (6) mathematical and computational (e.g. connectionist, symbolic) models of "rhythmicity" as an evolved behavior.

With the advent of modern cognitive neuroscience and new tools of studying the human brain "live," music as a highly complex, temporally ordered and rule-based sensory language quickly became a fascinating topic of study. The question of "how" music moves us, stimulates our thoughts, feelings, and kinesthetic sense, and how it can reach the human experience in profound ways is now measured with the advent of modern cognitive neuroscience. The goal of Rhythm, Music and the Brain is an attempt to bring the knowledge of the arts and the sciences and review our current state of study about the brain and music, specifically rhythm. The author provides a thorough examination of the current state of research, including the biomedical applications of neurological music therapy in sensorimotor speech and cognitive rehabilitation. This book will be of interest for the lay and professional reader in the sciences and arts as well as the professionals in the fields of neuroscientific research, medicine, and rehabilitation.

Approx.542 pages

Neurocomparative music and language research has seen major advances over the past two decades. The goal of this Special Issue on "Advances in the Neurocognition of Music and Language" was to showcase the multiple neural analogies between musical and linguistic information processing, their entwined organization in human perception and cognition, and to infer the applicability of the combined knowledge in pedagogy and therapy. Here, we summarize the main insights provided by the contributions and integrate them into current frameworks of rhythm processing, neuronal entrainment, predictive coding, and cognitive control.

The past 15 years have witnessed an increasing interest in the comparative study of language and music as cognitive systems. Language and music are uniquely human traits, so it is not surprising that this interest spans practically all branches of cognitive science, including psychology, computer science, linguistics, cognitive neuroscience, and education. Underlying the study of language and music is the assumption that the comparison of these two domains can shed light on the structural and functional properties of each, while also serving as a test case for theories of how the mind and, ultimately, the brain work. This book presents an interdisciplinary study of language and music, bringing together a team of leading specialists across these fields. The volume is structured around four core areas in which the study of music and language has been particularly fruitful: (i) structural comparisons, (ii) evolution, (iii) learning and processing, and (iv) neuroscience. As such it provides a snapshot of the different research strands that have focused on language and music, identifying current trends and methodologies that have been (or could be) applied to the study of both domains, and outlining future research directions. This volume is valuable in promoting the investigation of language and music by fostering interdisciplinary discussion and collaboration. With an ever increasing interest in both music cognition and language, this book will be valuable for students and researchers of psychology, linguistics, neuroscience, and musicology.

Neural, perceptual, and cognitive oscillations synchronize with rhythmic events in both speech (Luo & Poeppel, 2007) and music (Snyder & Large, 2005). This synchronization decreases perceptual thresholds to temporally predictable events (Lawrance et al., 2014), improves task performance (Ellis & Jones, 2010), and enables speech intelligibility (Peelle & Davis, 2012). Despite implications of music-language transfer effects for improving language outcomes (Gordon et al., 2015), proposals that shared neural and cognitive resources underlie music and speech rhythm perception (e.g., Tierney & Kraus, 2014) are not yet substantiated. The present research aimed to explore this potential overlap by testing whether music-induced oscillations affect metric speech tempo perception, and vice versa. We presented in each of 432 trials a prime sequence (seven repetitions of either a metric speech utterance or analogous musical phrase) followed by a standard-comparison pair (either two identical speech utterances or two identical musical phrases). Twenty-two participants judged whether the comparison was slower than, faster than, or the same tempo as the standard. We manipulated whether the prime was slower than, faster than, or the same tempo as the standard. Tempo discrimination accuracy was higher when the standard tempo was the same as, compared to slower or faster than, the prime tempo. These findings support the shared-resources view more than the independent-resources view, and they have implications for music-language transfer effects showing improvements in verbal memory (Chan et al., 1998), speech-in-noise perception (Strait et al., 2012), and reading ability in children and adults (Tierney & Kraus, 2013)

Our sense that a waltz is "in three" or a blues song is "in four with a shuffle" comes from our sense of musical meter. Hearing in Time explores the metric aspect of our musical experience from a psychological point of view. Musical meter is subject to a number of fundamental perceptual and cognitive constraints. These constraints are the cornerstones of Hearing in Time's account of musical meter. Hearing in Time also takes into account the fact that listening to music, like many other rhythmic activities, is something that we do a lot. It also approaches meter in the context of music as it is actually performed, with nuances of timing and dynamics, rather than as a theoretical idealization. Hearing in Time's approach to meter is not based on any particular musical style or cultural practice, and it discusses musical examples from a wide range of musical styles and cultures--from Beethoven and Bach to Brubeck and Ghanaian (Ewe) drumming. In taking this broad approach a number of fundamental similarities between a variety of different metric phenomena--such as the difference between so-called simple versus complex or additive meters - become apparent. Requiring only a modest ability to read a musical score, Hearing in Time is written for musicians, musicologists, and music theorists, as well as psychologists, linguists and cognitive scientists who are interested in rhythm and meter.

We have known for some time that babies possess a keen perceptual sensitivity for the melodic, rhythmic and dynamic aspects of speech and music: aspects that linguists are inclined to categorize under the term ‘prosody’, but which are in fact the building blocks of music. Only much later in a child’s development does he make use of this ‘musical prosody’, for instance in delineating and subsequently recognizing word boundaries. In this essay Henkjan Honing makes a case for ‘illiterate listening’, the human ability to discern, interpret and appreciate musical nuances already from day one, long before a single word has been uttered, let alone conceived. It is the preverbal and preliterate stage that is dominated by musical listening. See also the download version.

This book studies the effects of repetitive musical rhythm on the brain and nervous system, and in doing so integrates diverse fields including ethnomusicology, psychology, neuroscience, anthropology, religious studies, music therapy, and human health. It presents aspects of musical rhythm and biological rhythms, and in particular rhythmic entrainment, in a way that considers cultural context alongside theoretical research and discussions of potential clinical and therapeutic implications. Considering the effects of drumming and other rhythmic music on mental and bodily functioning, the volume hypothesizes that rhythmic music can have a dramatic impact on mental states, sometimes catalyzing profound changes in arousal, mood, and emotional states via the stimulation of changes in physiological functions like the electrical activity in the brain. The experiments presented here make use of electroencephalography (EEG), galvanic skin response (GSR), and subjective measures to gain insight into how these mental states are evoked, what their relationship is to the music and context of the experience, and demonstrate that they are happening in a consistent and reproducible fashion, suggesting clinical applications. This comprehensive volume will appeal to scholars in cognition, ethnomusicology, and music perception who are interested in the therapeutic potential of music.