The Sabes Lab studied how sensory and motor experience shapes movement control and the underlying brain circuits. For example, the lab showed that visual and somatosensory feedback are flexibly and adaptively combined within individual computations, enabling more precise limb movement (Sober and Sabes, 2003 & 2005). The lab then showed how this kind of flexible information flow can explain the complex sensorimotor representations seen in the primate cortex (McGuire and Sabes, 2009). They also showed how these representations are continually changing -- incorporating the statistics of recent movements to optimize the next movement (Verstynen and Sabes, 2011; Cheng and Sabes, 2006). The lab demonstrated that non-human primates can learn to use entirely novel, artificial sensory feedback as if it were a natural sensory signal. Specifically, the primates learned to interpret electrical microstimulation as multidimensional feedback about limb position. These results have clear application in delivering artificial sensory feedback via a Brain Machine Interface (Dadarlat, O'Doherty and Sabes, 2015).