The sensorimotor system is known to be one of the most complicated systems in the universe. Our daily activities such as movement and perception are fulfilled by the collective behavior of neural populations. Despite our knowledge of single-neuron responses to stimuli, the stimulus-response relationship at the system level is yet to be completely understood. For example, spinal sensorimotor circuits have a remarkable hierarchical structure that effectively regulates a highly parallel, distributed sensorimotor system with many thousands of inputs and outputs at speeds making it one, if not, the fastest distributed controllers around. Modeling large-scale neural activity with nonlinear dynamical systems theory and integrating experimental data from multiple modalities (imaging, electrophysiology, behaviors, etc.) will advance our understanding of the nervous system to facilitate neuromorphic intelligence and precision medicine.
Thus, the goal of this article collection is to provide a forum of the frontiers of neural modeling and computation to better understand how the nervous system controls movements, reacts to sensation, integrates sensory feedback and motor actions, adapts to changing environments, learns different tasks and acquires knowledge. This collection aims to advance movement neuroscience, as well as control engineering theory for the next generation of intelligent robotics.
The scope of this research topic will include but not be limited to:
- Computational modeling of the sensorimotor system in animal and human
- Reverse engineering of neurons, neuronal population, and neural networks in the sensorimotor system
- Nonlinear system identification of the sensorimotor system
- Nonlinear dynamics in neuronal oscillations of the sensorimotor system
- Volitional motor control and optional feedback control models
- Gate control theory for pain and multisensory competition
- Neuro or brain-inspired intelligence and system design for robotic movement
- Brain dynamics and connectivity in the sensorimotor system
We welcome all article types within the scope of the Topic including research articles, reviews, opinions/perspectives.
The sensorimotor system is known to be one of the most complicated systems in the universe. Our daily activities such as movement and perception are fulfilled by the collective behavior of neural populations. Despite our knowledge of single-neuron responses to stimuli, the stimulus-response relationship at the system level is yet to be completely understood. For example, spinal sensorimotor circuits have a remarkable hierarchical structure that effectively regulates a highly parallel, distributed sensorimotor system with many thousands of inputs and outputs at speeds making it one, if not, the fastest distributed controllers around. Modeling large-scale neural activity with nonlinear dynamical systems theory and integrating experimental data from multiple modalities (imaging, electrophysiology, behaviors, etc.) will advance our understanding of the nervous system to facilitate neuromorphic intelligence and precision medicine.
Thus, the goal of this article collection is to provide a forum of the frontiers of neural modeling and computation to better understand how the nervous system controls movements, reacts to sensation, integrates sensory feedback and motor actions, adapts to changing environments, learns different tasks and acquires knowledge. This collection aims to advance movement neuroscience, as well as control engineering theory for the next generation of intelligent robotics.
The scope of this research topic will include but not be limited to:
- Computational modeling of the sensorimotor system in animal and human
- Reverse engineering of neurons, neuronal population, and neural networks in the sensorimotor system
- Nonlinear system identification of the sensorimotor system
- Nonlinear dynamics in neuronal oscillations of the sensorimotor system
- Volitional motor control and optional feedback control models
- Gate control theory for pain and multisensory competition
- Neuro or brain-inspired intelligence and system design for robotic movement
- Brain dynamics and connectivity in the sensorimotor system
We welcome all article types within the scope of the Topic including research articles, reviews, opinions/perspectives.