@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 central research unit of the
Ruhr-Universität Bochum. We aim to understand the fundamental principles
through which organisms generate behavior and cognition while linked to
their environments through sensory systems and while acting in those
environments through 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 approaches from
psychology and neurophysiology as well as theoretical approaches from
physics, mathematics, electrical engineering and applied computer
science, in particular machine learning, artificial intelligence, and
computer vision.