The neural link between stimulus duration and spatial location in the human visual hierarchy DOI Creative Commons
Valeria Centanino, Gianfranco Fortunato, Domenica Bueti

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Dec. 27, 2024

Integrating spatial and temporal information is essential for our sensory experience. While psychophysical evidence suggests dependencies in duration perception, few studies have directly tested the neural link between processing. Using ultra-high-field functional MRI neuronal-based modeling, we investigated how where processing representation of a visual stimulus linked to that its location. Our results show transition coding: from monotonic spatially-dependent early cortex unimodal spatially-invariant frontal cortex. Along dorsal stream, particularly intraparietal sulcus (IPS), neuronal populations common selective responses both information. In IPS, topographic organizations are also linked, although maps smaller, less clustered, more variable across participants. These findings help identify mechanisms underlying human perception characterize time space processing, highlighting importance their interactions shaping brain responses. Common organizational principles not fully understood. This study shows coding brief events transforms along cortical hierarchy, interact through representations.

Language: Английский

Dynamic models for musical rhythm perception and coordination DOI Creative Commons
Edward W. Large, Iran R. Roman, Ji Chul Kim

et al.

Frontiers in Computational Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: May 17, 2023

Rhythmicity permeates large parts of human experience. Humans generate various motor and brain rhythms spanning a range frequencies. We also experience synchronize to externally imposed rhythmicity, for example from music song or the 24-h light-dark cycles sun. In context music, humans have ability perceive, generate, anticipate rhythmic structures, example, “the beat.” Experimental behavioral studies offer clues about biophysical neural mechanisms that underlie our abilities, different areas are involved but many open questions remain. this paper, we review several theoretical computational approaches, each centered at levels description, address specific aspects musical generation, perception, attention, perception-action coordination, learning. survey methods results applications dynamical systems theory, neuro-mechanistic modeling, Bayesian inference. Some frameworks rely on synchronization intrinsic span relevant frequency range; some formulations involve real-time adaptation schemes error-correction align phase dedicated circuit; others learning dynamically adjusting expectations make rhythm tracking predictions. Each while initially designed answer questions, offers possibility being integrated into larger framework provides insights perceive patterns.

Language: Английский

Citations

40
Beat-based dancing to music has evolutionary foundations in advanced vocal learning DOI Creative Commons
Aniruddh P. Patel

BMC Neuroscience, Journal Year: 2024, Volume and Issue: 25(1)

Published: Nov. 6, 2024

Abstract Dancing to music is ancient and widespread in human cultures. While dance shows great cultural diversity, it often involves nonvocal rhythmic movements synchronized musical beats a predictive tempo-flexible manner. To date, the only nonhuman animals known spontaneously move this way are parrots. This paper proposes that human-parrot similarities movement neurobiology of advanced vocal learning hold clues evolutionary foundations dance. The proposal draws on recent research parrot by Jarvis colleagues cortical model for speech motor control Hickock colleagues. These two lines work synthesized suggest gene regulation changes associated with evolution dorsal laryngeal pitch pathway ancestral humans fortuitously strengthened auditory-parietal connections support beat-based processing. More generally, aims explain how why strong forebrain auditory-motor integration service learned led capacity proclivity synchronize beat. specifies brain pathways implicated origins dancing leads testable predictions suggestions future research.

Language: Английский

Citations

9
Learning Sensorimotor Synchronization Through Reinforcement in Neural Networks DOI
Yassaman Ommi,

Matin Yousefabadi,

Jonathan Cannon

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Diverse Time Encoding Strategies Within the Medial Premotor Areas of the Primate DOI
Hugo Merchant, Germán Mendoza, Oswaldo Pérez

et al.

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 117 - 140

Published: Jan. 1, 2024

Language: Английский

Citations

3
A Second Introduction to the Neurobiology of Interval Timing DOI
Hugo Merchant, Víctor de Lafuente

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 23

Published: Jan. 1, 2024

Language: Английский

Citations

3
Temporal Information Processing in the Cerebellum and Basal Ganglia DOI
Masaki Tanaka, Masashi Kameda, Ken‐ichi Okada

et al.

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 95 - 116

Published: Jan. 1, 2024

Language: Английский

Citations

3
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

3
Monkeys have rhythm DOI Open Access
Vani G. Rajendran,

J. Pablo Marquez,

Luis Prado

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 12, 2024

Summary Synchronizing movements to music is one of the hallmarks human culture whose evolutionary and neurobiological origins remain unknown. The ability synchronize requires 1) detecting a steady rhythmic pulse, or beat, out stream complex sounds, 2) projecting this pattern forward in time predict future input, 3) timing motor commands anticipation predicted beats. Here, we demonstrate that macaque capable synchronizing taps subjective beat real music, even spontaneously chooses do so over alternative strategies. This contradicts influential “vocal learning hypothesis” musical synchronization only possible species with vocalizations such as humans some songbirds. We propose an view perception continuum onto which wider range can be mapped depending on their perform coordinate general abilities listed above through association reward.

Language: Английский

Citations

2
Probing Beat Perception with Event-Related Potentials (ERPs) in Human Adults, Newborns, and Nonhuman Primates DOI
Fleur L. Bouwer, Gábor P. Háden, Henkjan Honing

et al.

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 227 - 256

Published: Jan. 1, 2024

Language: Английский

Citations

2
White matter structural bases for phase accuracy during tapping synchronization DOI Creative Commons
Pamela García-Saldivar, Cynthia de León, Felipe A Mendez Salcido

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Sept. 4, 2024

We determined the intersubject association between rhythmic entrainment abilities of human subjects during a synchronization-continuation tapping task (SCT) and macro- microstructural properties their superficial (SWM) deep (DWM) white matter. Diffusion-weighted images were obtained from 32 who performed SCT with auditory or visual metronomes five tempos ranging 550 to 950 ms. developed method determine density short-range fibers that run underneath cortical mantle, interconnecting nearby regions (U-fibers). Notably, individual differences in U-fibers right audiomotor system correlated degree phase accuracy stimuli taps across subjects. These correlations specific synchronization epoch around 1.5 Hz. In addition, significant was found bundle diameter corpus callosum (CC), forming an interval-selective map where short long intervals behaviorally anterior posterior portions CC. findings suggest structural SWM DWM support subjects, as U-fiber is linked preferred tempo CC define topography.

Language: Английский

Citations

2