Related Experiment Video
Updated: Aug 9, 2026

12:33
Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement
A Riehle1, F Grammont, M Diesmann
1Center for Research in Cognitive Neuroscience, CRNC-CNRS, Marseille, France. ariehle@lnf.cnrs-mrs.fr
Journal of Physiology, Paris
|February 13, 2001
Summary
Neural groups dynamically synchronize spiking activity during movement preparation. This precise synchronization, particularly at the end of the preparatory period, suggests temporal coding is crucial for motor control.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- Movement preparation involves central neural processes enhancing motor performance.
- Motor cortical neurons alter activity based on movement parameter information.
- The dynamic organization of neuronal groups for computational demands remains unclear.
Purpose of the Study:
- To compare neuronal firing rates with neural interactions during movement preparation.
- To analyze the temporal dynamics and precision of neuronal synchronization during instructed delays.
Main Methods:
- Recorded single-neuron activity in monkey motor cortex during delayed pointing tasks.
- Utilized a modified 'Unitary Events' analysis to detect significant spike coincidences.
- Tolerated temporal jitter from 0 to 20 ms for spike train analysis.
Main Results:
- Neuronal synchronization is highly dynamic, occurring in short significant epochs (100-200 ms) during trials.
- Temporal precision of synchronized spiking activity increases towards the end of the preparatory period.
- Initial synchronization after a cue has low temporal precision, which improves over time.
Conclusions:
- Neuronal discharge rate and precise spike synchronization are both vital for preparatory processes.
- Temporal coding, via precise neuronal synchronization, plays a significant role in motor preparation.
- Findings highlight the dynamic interplay of neuronal populations in motor control.

