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Corticospinal Excitability Modulation During Action Observation
Published on: December 31, 2013
Cortical control of arm movements: a dynamical systems perspective
Krishna V Shenoy1, Maneesh Sahani, Mark M Churchland
1Department of Electrical Engineering, Stanford Institute for Neuro-Innovation and TranslationalNeuroscience, Stanford University, Stanford, CA 94305, USA. shenoy@stanford.edu
Annual Review of Neuroscience
|June 4, 2013
Summary
Understanding neural control of movement requires a new perspective. A dynamical systems approach may unify our understanding of neural dynamics and volitional arm movements.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- Movement is essential for daily life.
- Cortical control of volitional arm movements is a key research area.
- Current research focuses on neural encoding and decoding, but lacks a unified framework.
Purpose of the Study:
- To explore how a dynamical systems perspective can advance the understanding of neural control of movement.
- To address limitations in current encoding/decoding approaches.
- To propose a unified conceptual framework for neural dynamics in motor control.
Main Methods:
- Review of existing literature on neural control of movement.
- Analysis of how dynamical systems theory applies to neural population activity.
- Examination of the relationship between neural dynamics and movement parameters.
Main Results:
- Current encoding/decoding approaches have not yielded a unified conceptual framework.
- Dynamical systems theory offers a new lens to understand neural activity evolution.
- This perspective can explain how neural activity relates to movement parameters.
Conclusions:
- A dynamical systems perspective is crucial for understanding the underlying neural dynamics of movement.
- This approach may bridge the gap between neural activity and observable movement parameters.
- It holds the potential to create a unified conceptual framework for motor control research.
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