@article{HansenGrimmeReimannEtAl2018,
author = {Hansen, Eva and Grimme, Britta and Reimann, Hendrik and Schöner, Gregor},
title = {Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is},
journal = {Experimental Brain Research},
year = {2018},
doi = {10.1007/s00221-018-5215-5},
}
@article{RaketGrimmeSchönerEtAl2016,
author = {Raket, Lars Lau and Grimme, Britta and Schöner, Gregor and Igel, Christian and Markussen, Bo},
title = {Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement},
journal = {PLoS Computational Biology},
volume = {12},
number = {9},
pages = {1–27},
year = {2016},
doi = {10.1371/journal.pcbi.1005092},
}
Raket, L. L., Grimme, B., Schöner, G., Igel, C., & Markussen, B. (2016). Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement. PLoS Computational Biology, 12(9), 1–27. http://doi.org/10.1371/journal.pcbi.1005092
@article{HansenGrimmeReimannEtAl2015,
author = {Hansen, Eva and Grimme, Britta and Reimann, Hendrik and Schöner, Gregor},
title = {Carry-over coarticulation in joint angles},
journal = {Experimental Brain Research},
volume = {233},
number = {9},
pages = {2555–2569},
year = {2015},
doi = {10.1007/s00221-015-4327-4},
}
@article{GrimmeLipinskiSchöner2012,
author = {Grimme, Britta and Lipinski, John and Schöner, Gregor},
title = {Naturalistic arm movements during obstacle avoidance in 3D and the identification of movement primitives.},
journal = {Experimental brain research},
volume = {222},
number = {3},
pages = {185–200},
month = {October},
year = {2012},
doi = {10.1007/s00221-012-3205-6},
}
@article{GrimmeFuchsPerrierEtAl2011,
author = {Grimme, Britta and Fuchs, Susanne and Perrier, Pascal and Schöner, Gregor},
title = {Limb versus speech motor control: a conceptual review.},
journal = {Motor control},
volume = {15},
number = {1},
pages = {5–33},
month = {January},
year = {2011},
}
The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.