Topic: neuromechanical control

How does the motor cortex achieve generalizable and purposeful movements from the complex, nonlinear musculoskeletal system? ​​Previous research in this field has focused on developing dimensionality reduction and modeling techniques to elucidate the structure in high-dimensional neural activity, and relate this directly to kinematic outcomes. However, these models typically do not consider the biophysical underpinnings of the musculoskeletal system, nor do they allow us to understand the role of sensory feedback in motor control. These models thus fail to elucidate the computational role of n

The study of animal locomotion and neuromechanical control offers valuable insights for advancing research in neuroscience, biomechanics, and robotics. We have developed FARMS (Framework for Animal and Robot Modeling and Simulation), an open-source, interdisciplinary framework, designed to facilitate access to neuromechanical simulations for modeling, simulation, and analysis of animal locomotion and bio-inspired robotic systems. By providing an accessible and user-friendly platform, FARMS aims to lower the barriers for researchers to explore the complex interactions between the nervous system