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About

V. Lorente is a pioneering researcher at the intersection of neuroscience, biorobotics, and real-time control systems, whose work has explored the remarkable possibility of using living neural tissue to guide robotic behavior. Working primarily around 2010–2011, Lorente made significant contributions by developing innovative biorobotic architectures that harness human neuroblastoma cultures as biological neuroprocessors for robotic guidance. Employing Multielectrode Array (MEA) setups — sophisticated platforms that allow neural cells to be cultured directly on silicon or glass substrates — Lorente's research enabled the stimulation and recording of living neural networks to generate meaningful control signals for robots. Key methodological achievements include the development of a center-of-area learning method for robotic guidance, client-server architectures for remote closed-loop neural control, and open-source real-time platforms built on Braitenberg principles. These contributions collectively advanced our understanding of how biological intelligence can be interfaced with mechanical systems. With citations accumulating across multiple related publications, Lorente's body of work remains a compelling reference for researchers exploring neural interfacing, embodied cognition, and the future of biologically inspired robotics.