Controlling the dynamics of a two-joined arm by central patterning and reflex-like processing. - Karl-Theodor Kalveram (Biol. Cybern., 1991)

A neural network model rapidly learning gains and gating of reflexes necessary to adapt to an arm's dynamics. - Karl-Theodor Kalveram (Biol. Cybern., 1992)

Power series and neural-net computing. - Karl-Theodor Kalveram (Neurocomputing, 1993)

Sensorimotor Sequential Learning by a Neural Network Based on Redefined Hebbian Learning. - Karl-Theodor Kalveram (ANNIMAB, 2000)

Motor control and movement optimization learned by combining auto-imitative and genetic algorithms. - Karl-Theodor Kalveram; Ulrich Nakte (ESANN, 2001)

The problem of adaptive control in a living system or how to acquire an inverse model without the help of an external teacher. - Karl-Theodor Kalveram; Thomas Schinauer (ESANN, 2002)

Threading neural feedforward into a mechanical spring: How biology exploits physics in limb control. - Karl-Theodor Kalveram; Thomas Schinauer; Steffen Beirle; Stefanie Richter; Petra Jansen-Osmann (Biol. Cybern., 2005)

Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation. - Karl-Theodor Kalveram; André Seyfarth (AMS, 2007)

Simulating Muscle-Reflex Dynamics in a Simple Hopping Robot. - André Seyfarth; Karl-Theodor Kalveram; Hartmut Geyer (AMS, 2007)

Can Robots Help to Understand Human Locomotion? - André Seyfarth; Sten Grimmer; Daniel F. B. Häufle; Karl-Theodor Kalveram (Autom., 2012)

Energy management that generates terrain following versus apex-preserving hopping in man and machine. - Karl-Theodor Kalveram; Daniel F. B. Haeufle; André Seyfarth; Sten Grimmer (Biol. Cybern., 2012)