Biohybrid Robotic Hand to Investigate Tactile Encoding and Sensorimotor Integration.

ABSTRACT: For people who have experienced a spinal cord injury or an amputation, the recovery of sensation and motor control could be incomplete despite noteworthy advances with invasive neural interfaces. Our objective is to explore the feasibility of a novel biohybrid robotic hand model to investigate aspects of tactile sensation and sensorimotor integration with a pre-clinical research platform. Our new biohybrid model couples an artificial hand with biological neural networks (BNN) cultured in a multichannel microelectrode array (MEA). We decoded neural activity to control a finger of the artificial hand that was outfitted with a tactile sensor. The fingertip sensations were encoded into rapidly adapting (RA) or slowly adapting (SA) mechanoreceptor firing patterns that were used to electrically

SUBMITTER: Ades C 

PROVIDER: S-EPMC10886511 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature