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Neural adaptation in the generation of rhythmic behavior
1Department of Physiology, University of Alberta, Edmonton, Canada. keir.pearson@ualberta.ca
Annual Review of Physiology
|June 9, 2000
Summary
Motor systems adapt quickly and slowly to changing conditions. Central pattern generators (CPGs) are flexible neuronal networks that enable motor adaptation through various neural and mechanical influences.
Area of Science:
- Neuroscience
- Motor Control
- Systems Biology
Background:
- Motor systems exhibit remarkable adaptability to both rapid and gradual changes.
- Rhythmic motor behaviors rely on central pattern generators (CPGs), which are neuronal networks capable of generating rhythmic outputs.
- Adaptation is crucial for maintaining motor function despite alterations in internal goals, external conditions, body mechanics, or injury.
Purpose of the Study:
- To review the mechanisms of short- and long-term adaptation in rhythmic motor systems.
- To explore the flexibility of central pattern generators (CPGs) in response to various modulatory inputs.
- To understand how motor output is matched to mechanical requirements through adaptive processes.
Main Methods:
- Review of existing literature on motor adaptation and CPGs.
- Analysis of how neuromodulators, central commands, and afferent signals influence CPG function.
- Examination of the role of cellular and synaptic plasticity in motor adaptation.
Main Results:
- CPGs are highly flexible and can generate diverse motor patterns.
- Neuromodulators, central commands, and afferent signals dynamically alter CPG output by modifying neuronal and synaptic properties.
- Long-term adaptation involves adjustments to body mechanics and performance errors, likely driven by proprioceptive feedback.
Conclusions:
- The flexibility of CPGs is key to adapting motor output for different behavioral requirements.
- Short-term adaptation relies on rapid modulation of CPGs, while long-term adaptation involves slower, persistent changes.
- Afferent feedback plays a critical role in calibrating motor output and driving long-term motor learning and adaptation.