Related Experiment Video
Updated: Oct 29, 2025
05:04
Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
Published on: September 21, 2017
6.1K
Dynamic Systems Approach in Sensorimotor Synchronization: Adaptation to Tempo Step-Change
Nima Darabi1, U Peter Svensson1
1Department of Electronic Systems, Norwegian University of Science and Technology, Trondheim, Norway.
Frontiers in Physiology
|July 8, 2021
Summary
This study models sensorimotor synchronization (SMS) using dynamic systems. Human finger tapping responses to metronome tempo changes reveal distinct behavioral regimes around a 12% tempo shift.
Area of Science:
- Neuroscience
- Cognitive Science
- Human-Computer Interaction
Background:
- Sensorimotor synchronization (SMS) involves coordinating motor output with external temporal stimuli.
- Previous models often treat discrete events, limiting analysis of continuous dynamic processes.
- Understanding human response dynamics to tempo changes is crucial for various applications.
Purpose of the Study:
- To develop and validate a dynamic systems model for sensorimotor synchronization (SMS) tasks.
- To investigate human responses to discrete tempo changes in a metronome-tapping experiment.
- To identify the critical tempo change threshold influencing human perception and response.
Main Methods:
- Applied dynamic systems modeling to regularly sampled time signals derived from discrete events.
- Utilized system identification to estimate transfer functions for linear, time-invariant systems at each tempo step.
- Expanded a pilot study with three participants performing a metronome-tapping task with stepwise tempo variations.
Main Results:
- A minimum second-order linear system with delay, two poles, and one zero accurately modeled key features of human tempo step response.
- An additional third pole improved model fit to response data.
- Two distinct behavioral regimes were identified, separated by a tempo step threshold around 12% of the base tempo.
Conclusions:
- The dynamic systems model effectively captures human sensorimotor synchronization dynamics during tempo changes.
- Human perception and response to tempo shifts exhibit distinct patterns above and below a ~12% change.
- Findings integrate insights from SMS, psychoacoustics, and behavioral neuroscience for a comprehensive understanding.
Related Concept Videos
01:18Hierarchy of Motor Control
4.4K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
4.4K
01:24BIBO stability of continuous and discrete -time systems
624
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
624
01:28Automatic Processing and Automatic Social Behavior
60
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
60
01:23Linear time-invariant Systems
567
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
567
01:22Multi-input and Multi-variable systems
213
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
213
01:31Classification of Systems-II
271
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
271