A fundamental question in neuroscience is to fully unravel the neural control of locomotion. Understanding locomotion at a molecular, cellular and circuit levels allow for better planning and more efficient rehabilitation procedures and the improvement of engineering implementation solutions to prosthetic limbs.
Computational neuroscience has been a promising field in the study of the temporal and spatial scale of synaptic plasticity models. Over the last year well-established computational methods for ion channel modeling and vesicle release probability permit simulation of the activity of ion channels, neuronal activity and, more recently, signaling pathways.
In the field of locomotion, computational methodology has been also a useful tool to study goal-directed limb movements aiming at building predictive models of human and animal locomotion. However, it is yet not fully unraveled which criterion of optimality is chosen by neural circuits while generating and controlling locomotion.
In this Research Topic, Frontiers in Computational Neuroscience is looking to address key aspects of computational approaches to locomotion from modeling of synapses to muscle dynamics and gait assessment to promote the discussion around this topic and to facilitate knowledge dissemination.
The contributions to “New Computational Insights in Locomotion” should stimulate connections between neurobiology, animal and human studies, and computational methodology. We particularly welcome submission of Original Research, Review, Methods, and Perspective articles focused on computational studies on neuromuscular junctions, muscle dynamics and locomotion in both humans and animal models on the following sub-topics:
- Novel computational approaches in the study of locomotion
- New mathematical models to approach locomotion and muscle dynamics
- Simulations of molecular and cellular correlates of the neuromuscular junctions
- Circuit pattern generators for locomotion
- New computational approaches in the understanding of the underlying processes mediating gait assessment
- Pathological and non-pathological forms of locomotion
- Biomechanical, neurophysiological and imaging strategies in the study of locomotion in animal models and humans
A fundamental question in neuroscience is to fully unravel the neural control of locomotion. Understanding locomotion at a molecular, cellular and circuit levels allow for better planning and more efficient rehabilitation procedures and the improvement of engineering implementation solutions to prosthetic limbs.
Computational neuroscience has been a promising field in the study of the temporal and spatial scale of synaptic plasticity models. Over the last year well-established computational methods for ion channel modeling and vesicle release probability permit simulation of the activity of ion channels, neuronal activity and, more recently, signaling pathways.
In the field of locomotion, computational methodology has been also a useful tool to study goal-directed limb movements aiming at building predictive models of human and animal locomotion. However, it is yet not fully unraveled which criterion of optimality is chosen by neural circuits while generating and controlling locomotion.
In this Research Topic, Frontiers in Computational Neuroscience is looking to address key aspects of computational approaches to locomotion from modeling of synapses to muscle dynamics and gait assessment to promote the discussion around this topic and to facilitate knowledge dissemination.
The contributions to “New Computational Insights in Locomotion” should stimulate connections between neurobiology, animal and human studies, and computational methodology. We particularly welcome submission of Original Research, Review, Methods, and Perspective articles focused on computational studies on neuromuscular junctions, muscle dynamics and locomotion in both humans and animal models on the following sub-topics:
- Novel computational approaches in the study of locomotion
- New mathematical models to approach locomotion and muscle dynamics
- Simulations of molecular and cellular correlates of the neuromuscular junctions
- Circuit pattern generators for locomotion
- New computational approaches in the understanding of the underlying processes mediating gait assessment
- Pathological and non-pathological forms of locomotion
- Biomechanical, neurophysiological and imaging strategies in the study of locomotion in animal models and humans