Rhythm is a fundamental aspect of human behaviour, present from infancy and deeply embedded in cultural practices. Rhythm anticipation is a spontaneous cognitive process that typically occurs before the onset of actual beats. While most research in both neuroscience and artificial intelligence has focused on metronome-based rhythm tasks, studies investigating the perception of complex musical rhythm patterns remain limited. To address this gap, we propose a hierarchical oscillator-based model to better understand the perception of complex musical rhythms in biological systems. The model consists of two types of coupled neurons that generate oscillations, with different layers tuned to respond to distinct perception levels. We evaluate the model using several representative rhythm patterns spanning the upper, middle, and lower bounds of human musical perception. Our findings demonstrate that, while maintaining a high degree of synchronization accuracy, the model exhibits human-like rhythmic behaviours. Additionally, the beta band neuronal activity in the model mirrors patterns observed in the human brain, further validating the biological plausibility of the approach.

Fox News Flash top headlines are here. Check out whats clicking on Foxnews.com. A child psychiatrist in Charlotte, N.C., has been sentenced to 40 years in prison for using artificial intelligence (AI) to create child pornography and secretly recording his 15-year-old cousin as she showered, according to the U.S. Attorney's Office in the Western District of North Carolina. David Tatum, 41, created the AI images by modifying pictures of ex-girlfriends with sexually explicit images of minors which he had obtained online. Tatum digitally altered images from a school dance and a photo commemorating the first day of school to make them sexually explicit, prosecutors said.