Control of Movement: Center of Mass States Render Multijoint Torques Throughout Standing Balance Recovery

The Role of Multijoint Torques in Standing Balance Recovery Academic Background Standing balance is an essential ability in human daily life, especially when facing external perturbations. How to quickly coordinate torques at the hip, knee, and ankle joints to maintain balance has long been a critical topic in motor control and neuroscience researc...

Adaptation of Control Policy to Task Demands in Motor Control: During Both Motor Execution and Motor Planning

Adjustment of Motor Control Policies and Adaptation to Task Demands Academic Background Motor control is a core research area in neuroscience and movement science, particularly in understanding how humans plan and execute complex movements. Motor planning involves multiple processes, including target selection, application of task demands, action s...

The Role of Cognitive Load on Interlimb Differences in Motor Coordination in Older Adults

The Impact of Cognitive Load on Interlimb Differences in Motor Control in Older Adults Academic Background In daily life, we often observe that the dominant hand (e.g., the right hand in right-handed individuals) performs better than the non-dominant hand in simple tasks. However, these interlimb differences may be influenced by task complexity and...

Neuroimaging Meets Neurophysiology: Are There Cortical Somatotopic Motor Maps Outside of the Human Precentral Gyrus?

New Discoveries in Cortical Motor Maps Background Introduction Humans and other primates are capable of performing a wide range of complex body movements, the initiation and control of which rely on multiple cortical and subcortical structures. Among these, the primary motor cortex (M1), located in the precentral gyrus, is the core region for execu...

Learning Inverse Kinematics Using Neural Computational Primitives on Neuromorphic Hardware

Learning Inverse Dynamics Using Brain-Inspired Computational Principles on Neuromorphic Hardware Background and Research Motivation In the modern field of robotics, there is great potential for low-latency neuromorphic processing systems enabling autonomous artificial agents. However, the variability and low precision of current hardware foundation...