ReviewAnnals of the New York Academy of Sciences2026
Critical Review on the Development and Evolution of Beat Perception.
Review in Annals of the New York Academy of Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
2 authors.
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Abstract
Beat perception-the ability to extract a regular pulse from rhythmic sequences-is a foundational component of human musicality and a key mechanism supporting synchronization, dance, and collective music-making. Research across neuroscience, developmental psychology, and comparative cognition demonstrates that beat processing exhibits four defining characteristics: it is near-universal across human cultures, emerges spontaneously in early development, engages domain-specific predictive timing mechanisms, and appears rare across species. Neurophysiological evidence indicates that newborns respond to rhythmic regularities using predictive neural processes that cannot be explained by simple interval timing or statistical learning alone. Across infancy and childhood, these early predispositions are progressively refined through auditory experience, motor development, and musical enculturation. Comparative studies show-although the evidence is still sparse-that several species (including humans) share this ability, but also that nonhuman primates, while able to match the tempo of an auditory sequence, typically do not show robust beat synchronization. Together, findings from phylogeny and ontogeny suggest that beat perception reflects an early-emerging, biologically prepared capacity that is further shaped by experience. Understanding its developmental and evolutionary bases offers crucial insight into the origins of human musicality and the neural architecture supporting temporal prediction.
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