Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model DOI Creative Commons
Klavdia Zemlianova, Amitabha Bose, John Rinzel

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 2, 2024

Despite music's omnipresence, the specific neural mechanisms responsible for perceiving and anticipating temporal patterns in music are unknown. To study potential keeping time rhythmic contexts, we train a biologically constrained RNN, with excitatory (E) inhibitory (I) units, on seven different stimulus tempos (2–8 Hz) synchronization continuation task, standard experimental paradigm. Our trained RNN generates network oscillator that uses an input current (context parameter) to control oscillation frequency replicates key features of dynamics observed recordings monkeys performing same task. We develop reduced three-variable rate model analyze its dynamic properties. By treating our understanding mathematical structure oscillations as predictive, confirm dynamical found also RNN. neurally plausible reveals E-I circuit two distinct sub-populations, which one is tightly synchronized units.

Language: Английский

The Training of Rhythm Skills and Executive Function: A Systematic Review DOI Creative Commons
J. Riikka Ahokas, Suvi Saarikallio, Graham Welch

et al.

Music & Science, Journal Year: 2025, Volume and Issue: 8

Published: Jan. 1, 2025

Objective The focus of this study is on rhythm-elicited movement and its impacts executive function. main aim review was to identify previous, controlled intervention research topic, the effectiveness included interventions. We hypothesized we would find supporting alleged positive impact rhythm training cognition. Methods Systematic literature searches were performed in Web Science (WoS), PubMed, Education Resources Information Center (ERIC), APA PsycArticles PsycInfo databases from 2000 May 2022. selected studies evaluated for methodological quality using modified Downs Black checklist. Results eligibility criteria identified populations preschool old age interventions that could be defined as “training music skills”. Only with active control function (EF) measures, published between 2022, peer reviewed, written English included. From initial result a total 15,677 records, 10 reports met final synthesis systematic review. mean score these records 24.7 out 28 Five provided statistically significant results regard our hypothesis. Conclusion During targeted period 2025–2022, there fundamental paucity aiming at testing benefits EF.

Language: Английский

Citations

0
Musical neurodynamics DOI
Eleanor Harding, Ji Chul Kim, Alexander P. Demos

et al.

Nature reviews. Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Language: Английский

Citations

0
Neural entrainment to the beat and working memory predict sensorimotor synchronization skills DOI Creative Commons

María de Lourdes Noboa,

Csaba Kertész, Ferenc Honbolygó

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 26, 2025

Neural entrainment to rhythmic patterns has been proposed as a mechanism that underlies beat perception and could explain individual differences in sensorimotor synchronization abilities. Nevertheless, the neural cognitive mechanisms behind remain an active research area. Our study examined whether patterns, resources, specifically working memory musical background predict skills adults. Using electroencephalogram (EEG), we recorded steady-state evoked potentials (SS-EPs) while participants passively listened short tone sequences featuring syncopated (tones missing from certain beats) unsyncopated present on every beat) rhythms. Participants also completed finger-tapping task, measuring tapping consistency asynchrony, counting span task assess memory. Results showed increased at beat-related frequencies (1.25 Hz its harmonics, 2.10/2.50 Hz, 5 Hz), indicating faithful tracking of Contrary expectations, stronger rhythms was associated with greater variability lower accuracy. In contrast, capacity positively predicted consistency, suggesting automatic beat-based predictions reflected may reduce flexibility needed for rhythm production. Musical not significant predictor performance, support production by maintaining internal representations time intervals. results challenged assumption universally enhances highlighted multidimensionality processing, complex relationship between entrainment, skills.

Language: Английский

Citations

0
Comparative Analysis of Kodály, Suzuki, Dalcroze, Orff, and Gordon Music Learning Theory in Early Childhood Music Education: A Literature Review DOI Open Access
Jay P. Mabini

International Journal of Research Publications, Journal Year: 2024, Volume and Issue: 150(1)

Published: May 16, 2024

Early childhood music education plays a crucial role in shaping cognitive, emotional, and social development. Among the various pedagogical approaches, Kodály Method, Suzuki Dalcroze Eurhythmics, Gordon Music Learning Theory are distinguished for their unique philosophies instructional techniques. This literature review provides comparative analysis of these four prominent methods, focusing on philosophical foundations, key features, educational goals, implementation strategies. The Method emphasizes musical literacy inner hearing through use folk songs, hand signs, movable-do solfège. fosters ability character development early beginning, listening, repetition, parental involvement. Eurhythmics integrates movement with education, promoting rhythmic skills expression eurhythmics improvisation. concentrates audiation sequential learning, aiming to develop comprehensive musicianship. underscores rich potential integrating multiple methodologies enrich education. By drawing strengths Kodály, Suzuki, Dalcroze, Orff, Theory, educators can foster experience that nurtures diverse talents, enhances literacy, cultivates lifelong love among young learners.

Language: Английский

Citations

2
Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model DOI Creative Commons
Klavdia Zemlianova, Amitabha Bose, John Rinzel

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 2, 2024

Despite music's omnipresence, the specific neural mechanisms responsible for perceiving and anticipating temporal patterns in music are unknown. To study potential keeping time rhythmic contexts, we train a biologically constrained RNN, with excitatory (E) inhibitory (I) units, on seven different stimulus tempos (2–8 Hz) synchronization continuation task, standard experimental paradigm. Our trained RNN generates network oscillator that uses an input current (context parameter) to control oscillation frequency replicates key features of dynamics observed recordings monkeys performing same task. We develop reduced three-variable rate model analyze its dynamic properties. By treating our understanding mathematical structure oscillations as predictive, confirm dynamical found also RNN. neurally plausible reveals E-I circuit two distinct sub-populations, which one is tightly synchronized units.

Language: Английский

Citations

2