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Mario Becomes Cognitive
TLDR
Overall, SEMLINCS may be viewed as an architecture that allows the functional and computational modeling of embodied cognitive development, whereby the current main focus lies on the development of production rules from sensorimotor experiences. Expand
Embodied learning of a generative neural model for biological motion perception and inference
TLDR
A learning artificial neural network model is introduced that proposes a solution to the problem of how the human brain may establish correspondence between observed bodily motion and its own motor system, thus offering a mechanism that supports the development of mirror neurons. Expand
Just Imagine! Learning to Emulate and Infer Actions with a Stochastic Generative Architecture
TLDR
A distributed neural network architecture that learns a stochastic generative model from experiencing bodily actions, which appears very suitable for both, generating goal-directed actions, as well as predicting observed visuo-motor trajectories and action goals. Expand
Modeling perspective-taking upon observation of 3D biological motion
TLDR
The model essentially shows how an internal frame of reference adaptation for deriving the perspective of another person can be acquired by first learning about the own bodily motion dynamics and by then exploiting this self-knowledge upon the observation of other, relative, biological motion patterns. Expand
Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement
TLDR
This work proposes a recurrent computational network architecture for the unsupervised learning of categorial and subcategorial visual input representations and demonstrates the temporal evolution of such learning and shows how the proposed combination of an associative memory with a modulatory feedback integration successfully establishes category and subcategory representations. Expand
Modeling perspective-taking by forecasting 3D biological motion sequences
The mirror neuron system (MNS) is believed to be involved in social abilities like empathy and imitation. While several brain regions have been linked to the MNS, it remains unclear how the mirrorExpand
Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics
TLDR
It is shown that it is possible to take the perspective of another person by correlating proprioceptive motion with relative, visual motion, and then allowing the adjustment of the visual frame of reference to other views of similar motion patterns. Expand
An Event-Schematic, Cooperative, Cognitive Architecture Plays Super Mario
TLDR
The results show how cooperative behavior can be planned and coordinated, developing from sensorimotor experience and predictive, event-based structures. Expand
Binding and Perspective Taking as Inference in a Generative Neural Network Model
TLDR
A generative encoder-decoder architecture that adapts its perspective and binds features by means of retrospective inference solves the perspective taking and binding problem for known biological motion patterns, essentially yielding a Gestalt perception mechanism. Expand
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