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» Motor planning and sparse motor command representation
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NIPS
2003
15 years 1 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
IJCAI
1997
15 years 1 months ago
Mental Tracking: A Computational Model of Spatial Development
Psychological experiments on children's development of spatial knowledge suggest experience at self-locomotion with visual tracking as important factors. Yet, the mechanism u...
Kazuo Hiraki, Akio Sashima, Steven Phillips
IVA
2009
Springer
15 years 6 months ago
A Probabilistic Model of Motor Resonance for Embodied Gesture Perception
Abstract. Basic communication and coordination mechanisms of human social interaction are assumed to be mediated by perception-action links. These links ground the observation and ...
Amir Sadeghipour, Stefan Kopp
JMLR
2008
151views more  JMLR 2008»
14 years 11 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
BMVC
1998
15 years 1 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke