Staring Down the Elevator Shaft: Postural Responses to Virtual Heights in an Indoor Environment.
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Cognitive Science |
2025 |
0 |
Balancing on the Edge: Review and Computational Framework on the Dynamics of Fear of Falling and Fear of Heights in Postural Control.
|
Cognitive Science |
2024 |
1 |
Active Inference and Psychology of Goals: A study in Substance and Process Metaphysics.
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Cognitive Science |
2023 |
0 |
Extending the Bayesian Causal Inference of Body Ownership Modell Across Time.
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Cognitive Science |
2022 |
0 |
Sensorimotor processes are not a source of much noise: Sensory-motor and decision components of reaction times.
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Cognitive Science |
2022 |
0 |
Formalization and Implementation of ViolEx: An Active Inference perspective.
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Cognitive Science |
2022 |
0 |
Modeling Reward Learning Under Placebo Expectancies: A Q-Learning Approach.
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Cognitive Science |
2022 |
1 |
Modeling aberrant volatility estimates in Autism Spectrum Disorder.
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Cognitive Science |
2022 |
0 |
A Model for Optic Flow Integration in Locust Central-Complex Neurons Tuned to Head Direction.
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Cognitive Science |
2022 |
3 |
A model of selection history in visual attention.
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Cognitive Science |
2021 |
1 |
Emulating Human Developmental Stages with Bayesian Neural Networks.
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Cognitive Science |
2019 |
3 |
Where Do Heuristics Come From?
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Cognitive Science |
2019 |
7 |
The Variational Coupled Gaussian Process Dynamical Model.
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ICANN |
2017 |
2 |
COCoMoPL: A Novel Approach for Humanoid Walking Generation Combining Optimal Control, Movement Primitives and Learning and its Transfer to the Real Robot HRP-2.
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IEEE Robotics and Automation Letters |
2017 |
34 |
A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives.
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Robotics and Autonomous Systems |
2016 |
20 |
Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking.
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Humanoids |
2015 |
13 |
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels.
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ICANN |
2014 |
8 |
Interpreting the neural code with Formal Concept Analysis.
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NIPS/NeurIPS |
2008 |
8 |
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms.
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NIPS/NeurIPS |
2007 |
21 |