Predict muscle and reflex activity from kinematics and pre-set tasks
Simulate neurological conditions affecting motor control
Explore control strategies for motor neuron and interneuron populations
Unlock the fundamentals of movement with ReflexSim
Beyond Kinetics
ReflexSim combines models of neural circuitry, AI-trained motor control strategies, and musculoskeletal dynamics to produce state-of-the-art neuromuscular simulations
Clinical & Research Objectives
Simulate standard clinical and experimental motor control tasks such as reaching and sit-to-stand
Customize neurological parameters to reproduce known pathologies or phenotypes
Compare the resulting kinematics and muscle activity to patient or subject data
Human-Machine Interfaces
Pass kinematic recordings to ReflexSim to estimate the expected muscle activity
Integrate a ReflexSim model into existing machine control systems to better predict user movement
Sport and Exercise
Estimate the activity of muscles where surface EMG cannot reach
Identify sub-optimal compensation strategies after injury
Customize muscle models and recruitment patterns to match professional physique
ReflexSim is in development - we're actively seeking researchers and industry partners for early collaboration
Contact us to...
Explore how ReflexSim could support your research or development work
Request a demonstration or technical overview
Discuss a custom simulation or model for your specific application