The past decades have witnessed remarkable progress in neural technologies such as
functional electrical stimulation (FES) and their applications in neurorehabilitation and …

Biological and robotic grasp and manipulation are undeniably similar at the level of
mechanical task performance. However, their underlying fundamental biological vs …

Current control of prosthetic hands is ineffective when grasping deformable, irregular, or
heavy objects. In humans, grasping is achieved under spinal reflexive control of the …

The iris of an eye automatically optimizes the amount of light that strikes the retina by
accommodating the intensity of ambient light. Here, we describe a retinomorphic neuron …

Restoring neuromuscular reflex properties in the control of a prosthetic hand may potentially
approach human-level grasp functions in the prosthetic hand. Previous studies have …

Robotic manipulators face significant challenges when handling objects of different sizes
and shapes. Incorporating a sense of touch into these devices has the potential to improve …

Objective: Human neuromuscular reflex control provides a biological model for a compliant
hand prosthesis. Here we present a computational approach to understanding the emerging …

Significant advances have been made to improve control and to provide sensory functions
for bionic hands. However, great challenges remain, limiting wide acceptance of bionic …

The human hand has compliant properties arising from muscle biomechanics and neural
reflexes, which are absent in conventional prosthetic hands. We recently proved the …

Researchers working with neural networks have historically focused on either non-spiking
neurons tractable for running on computers or more biologically plausible spiking neurons …