Responsibilities
Associate Professor of Neuromuscular Diagnostics
Contact
Technical University of Munich
Email:
david.franklin@tum.de
Website:
http://www.sg.tum.de/nd/
Further Information
Research focus: Computational Motor Control, Sensorimotor control, Neuromechanics
Key words: Motor control, motor learning, impedance control, computational neuroscience, human, sensorimotor integration, robotics and virtual reality, modelling, controlled behavioural tasks
GSN students:
Selected publications:
Česonis J and Franklin DW (2020) Time-to-target explains task-dependent modulation of temporal feedback gain evolution. eNeuro 7(2): ENEURO.0514-19.2020
Yeo S-H, Franklin DW and Wolpert DM (2016) When optimal feedback control is not enough: feedforward strategies are required for optimal control with active sensing. PLoS Comp Biol 12(12): e1005190. doi:10.1371/journal. pcbi.1005190
Sheahan HR, Franklin DW and Wolpert DM (2016) Motor planning, not execution, separates motor memories. Neuron 92, 773-779
Franklin DW, Reichenbach A, Franklin S and Diedrichsen J (2016) Temporal evolution of spatial computations for visuomotor control. Journal of Neuroscience 36, 2329-2341
Howard IS, Wolpert DM and Franklin DW (2015) The value of the follow-through derives from motor learning depending on future actions. Current Biology 25: 397-401
Franklin DW and Wolpert DM (2011) Computational mechanisms of sensorimotor control. Neuron, 72: 425-442