减少
发表于 2025-3-23 11:46:02
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Conclave
发表于 2025-3-23 17:04:04
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Bravura
发表于 2025-3-23 20:20:04
Neural Regulation of Limb Mechanics: Insights from the Organization of Proprioceptive Circuitsks. The purpose of this chapter is to synthesize data concerning the organization and actions of these proprioceptive pathways, and then to propose how current models can be used to promote understanding of their functional role in regulating whole limb stiffness. Following a historical introduction
Supplement
发表于 2025-3-24 02:00:25
Model-Based Approaches to Understanding Musculoskeletal Filtering of Neural Signals muscle attachments shape both the effect the nervous system can have on the external world and the proprioceptive information conveyed to the nervous system. The integrative nature of the neuro-musculo-skeletal system makes it difficult to examine the effects of this structure experimentally, and a
自作多情
发表于 2025-3-24 03:33:47
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圆锥体
发表于 2025-3-24 06:50:47
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fulmination
发表于 2025-3-24 14:25:21
Why Is Neuromechanical Modeling of Balance and Locomotion So Hard?vements. This has been particularly challenging in balance and locomotion because they are inherently unstable, making it difficult to explore model parameters in a way that still coordinates the body in a functional way. Integrating realistic and validated musculoskeletal models with neural control
幼稚
发表于 2025-3-24 15:37:17
Neuromusculoskeletal Modeling for the Adaptive Control of Posture During Locomotionsculoskeletal systems. To establish such locomotion, the control of leg movement to transport the entire body against gravity and the control of posture to prevent falling are required. However, these controls affect one another for the posture of the body during locomotion because leg movement dist
引起痛苦
发表于 2025-3-24 22:10:49
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FUME
发表于 2025-3-25 00:48:50
Computing Motion Dependent Afferent Activity During Cat Locomotion Using a Forward Dynamics Musculostood. The aim of this study was to develop a forward dynamics model of cat hindlimbs that using neural or muscle activity as input generates realistic locomotion mechanics and motion-dependent afferent activity. This model can be combined with CPG models to study the spinal control of locomotion usi