Jon W. Sensinger

This paper develops an active inference model to explain phantom limb pain by integrating sensory and action components, identifying factors like loss of limb control and residual noxious input as contributors to pain persistence.

This paper develops a hierarchical Bayesian model to explain how prior experiences influence pain perception and contributes to chronic pain conditions like neuropathic pain.

This study tests an artificial sensory feedback system providing joint speed information for myoelectric prosthesis control and finds modest improvements in reaching errors after perturbed control.

This paper introduces a method to reduce bias in estimating trial-by-trial motor adaptation during natural movements, improving accuracy compared to conventional approaches.

This study investigates the uncertainty in visual speed estimates during biomimetic arm movements and proposes a joint-based sensory feedback paradigm to reduce joint speed uncertainty when paired with vision.

This paper shows that CCE scores decrease with repeated task exposure and proposes mitigation strategies to reduce learning effects.

The paper introduces a crossmodal congruency task to assess the physiological correspondence of sensory feedback in prosthetic limbs, finding that the CCE score improves with training.