Auke Jan Ijspeert

The paper uses a palaeorobotic model to estimate the force and velocity of a Pleistocene glyptodont's tail strike, supporting its role as an antipredator defense mechanism.

The paper develops simZFish, a neuromechanical simulation of zebrafish optomotor behavior, to study how embodiment shapes neural circuits and behavior through simulations, imaging, and robotic testing.

This paper develops a spiking neuromechanical model of the salamander spinal cord to show that intermediate proprioceptive feedback improves locomotion coordination and robustness.

The paper investigates how spinal pathways and supraspinal commands modulate upper limb control in different gravity conditions using neuromusculoskeletal simulations.

The paper identifies centralized neural circuits in Drosophila that coordinate body part movements during grooming, showing synchronization without sensory feedback.

This paper uses soft robotic models to study how asymmetrical fin shapes affected swimming dynamics in ancient marine reptiles, finding that certain fin shapes helped compensate for buoyancy.

This study investigates how spinal cord dynamics influence cerebellar motor learning and control using computational models of the cerebellum and spinal cord integrated into a musculoskeletal control loop.

This paper develops and compares two neuromuscular controllers for hip exoskeletons, showing that a simplified muscle model and refined reflex modulation improve control performance.

This paper presents a physiologically plausible neuromechanical model to study spinal control of human locomotion, showing that CPGs are necessary for rhythmic movement and that reflexes primarily provide inhibitory feedback.

NeuroMechFly is a neuromechanical model of Drosophila melanogaster that simulates biomechanics and neural control to predict behaviors and optimize locomotion.

This study identifies key reflex parameters that modulate gait characteristics through neuromechanical simulations of human locomotion.

This study integrates experimental and computational models of motor control and recovery after stroke to improve experimental design through continuous data integration and simulation.