Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway

van Dyck, L. E., Bremmer, F., Dobs, K.
Signal Transduction and Targeted Therapy 9 (1) :171 (2024).

Abstract

In a recent study published in Cell, Marin Vargas and Bisi et al. present an innovative approach to unravel the computational principles underlying proprioceptive processing in non-human primates. Their findings showcase the utility of task-driven modeling in advancing neuroscience and offer translational potential by providing seminal insights into the goals and mechanisms by which the brain encodes body position and movements.