Incorporating motor preparation time transforms micro-offline gains into micro-offline losses
Nafiz Ishtiaque Ahmed1, Tharan Suresh1, Sara Hussain2,3
1Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, Texas, United States.
Journal of Neurophysiology
|July 16, 2026
Summary
Micro-offline gains (MOGS) in explicit sequence learning (ESL) are overestimated when motor preparation time is ignored. Including preparation time reverses MOGS from gains to losses, offering a more accurate measure of skill acquisition.
Area of Science:
- Cognitive Psychology
- Motor Learning
- Neuroscience
Background:
- Micro-offline gains (MOGS) are improvements in sequence learning during rest periods.
- Current MOGS calculations exclude motor preparation time, potentially misrepresenting learning.
- Explicit sequence learning (ESL) involves both motor planning and execution.
Purpose of the Study:
- To investigate the impact of including motor preparation time on MOGS calculations.
- To determine if current MOGS methods accurately reflect skill acquisition in ESL.
- To propose a revised method for calculating MOGS.
Main Methods:
- Thirty adults performed an ESL task.
- MOGS were calculated both with and without motor preparation time.
- Sequence speed was measured using keypress execution and preparation times.
Main Results:
- Including preparation time reversed MOGS from positive to negative.
- This inclusion significantly increased the correlation between early learning and performance.
- Excluding preparation time overestimates micro-offline learning.
Conclusions:
- Motor preparation time is a critical component of MOGS and should be included in calculations.
- Current methods for calculating MOGS may overestimate learning.
- This study provides a framework for more accurate MOGS assessment in future research.
Related Concept Videos
01:07Time-Domain Interpretation of PD Control
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
01:24Back EMF
Generators convert mechanical energy into electrical energy, whereas motors convert electrical energy into mechanical energy. A motor works by sending a current through a loop of wire located in a magnetic field. As a result, the magnetic field exerts a torque on the loop. This rotates a shaft, extracting mechanical work from the electrical current sent in initially. When the coil of a motor is turned, magnetic flux changes through the coil, and an emf (consistent with Faraday's law) is induced.
01:20Power Factor Correction
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
01:23Small-Signal Analysis of MOSFET Amplifiers
In small-signal analysis, a MOSFET transistor amplifier acts as a linear amplifier when operating in its saturation region. The gate-to-source voltage (VGS) of the MOSFET is the sum of the DC biasing voltage and the small time-varying input signal. This combination sets up the operating point and modulates the drain current (ID) that flows from the drain to the source. When a small AC signal is superimposed on the DC bias voltage at the gate, the instantaneous drain current comprises three...
01:19Electro-mechanical Systems
Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
01:25Multimachine Stability
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by: