_{Publikationen:
Sensomotorische Lern- und Entscheidungsprozesse}

Zeitschriftenartikel (13)

1. 1.
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   Grau-Moya, J.; Krüger, M.; Braun, D. A.: Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy 20 (1) (2017)
2. 2.
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   Genewein, T.; Braun, D.: Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations. Biological Cybernetics 110 (2), S. 135 - 150 (2016)
3. 3.
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   Grau-Moya, J.; Ortega, P.; Braun, D. A.: Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context. Experiments and an Information-Theoretic Ambiguity Model. PLoS One 11 (4), e0153179 (2016)
4. 4.
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   Peng, Z.; Braun, D. A.: Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories. Frontiers in Psychology 6 (2015)
5. 5.
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   Ortega, P.; Braun, D.: What is epistemic value in free energy models of learning and acting? A bounded rationality perspective. Cognitive Neuroscience 6 (4), S. 215 - 216 (2015)
6. 6.
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   Genewein, T.; Leibfried, F.; Grau-Moya, J.; Braun, D.: Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle. Frontiers in Robotics and AI 2 (2015)
7. 7.
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   Genewein, T.; Hez, E.; Razzaghpanah, Z.; Braun, D.: Structure Learning in Bayesian Sensorimotor Integration. PLoS Computational Biology 11 (8) (2015)
8. 8.
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   Genewein, T.; Hez, E.; Razzaghpanah, Z.; Braun, D.: Structure Learning in Bayesian Sensorimotor Integration. PLoS Computational Biology 11 (8), e1004369 (2015)
9. 9.
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   Leibfried, F.; Grau-Moya, J.; Braun, D.: Signaling equilibria in sensorimotor interactions. Cognition 141, S. 73 - 86 (2015)
10. 10.
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    Leibfried, F.; Braun, D.: A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Computation 27 (8), S. 1686 - 1720 (2015)
11. 11.
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    Leibfried, F.; Braun, D.: A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker. Neural Computation 27 (8), S. 1686 - 1720 (2015)
12. 12.
    MPG.PuRe

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    Ortega, P. A.; Braun, D. A.: What is epistemic value in free energy models of learning and acting? A bounded rationality perspective. Cognitive Neuroscience 6 (4) (2015)
13. 13.
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    Peng, Z.; Genewein, T.; Braun, D. A.: Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Frontiers in Human Neuroscience 8 (2014)

Konferenzbeitrag (6)

1. 14.
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   Peng, Z.; Genewein, T.; Leibfried, F.; Braun, D.: An Information-Theoretic On-Line Update Principle for Perception-Action Coupling. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), S. 789 - 796. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, BC, Canada. IEEE, Piscataway, NJ, USA (2017)
2. 15.
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   Grau-Moya, J.; Leibfried, F.; Genewein, T.; Braun, D.: Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes. In: Machine Learning and Knowledge Discovery in Databases, S. 475 - 491 (Hg. Frasconi, P.; Landwehr, N.; Manco, G.; Vreeken, J.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2016), Riva del Garda, Italy. Springer, Cham, Switzerland (2016)
3. 16.
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   Leibfried, F.; Braun, D.: Bounded Rational Decision-Making in Feedforward Neural Networks. In: Uncertainty in Artificial Intelligence, S. 407 - 416 (Hg. Ihler , A.; Janzing, D.). 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York, NY, USA. AUAI Press, Corvallis, OR, USA (2016)
4. 17.
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   Grau-Moya, J.; Braun, D.: Adaptive information-theoretic bounded rational decision-making with parametric priors. In: NIPS 2015 Workshop on Bounded Optimality and Rational Metareasoning, S. 1 - 4. NIPS 2015 Workshop on Bounded Optimality and Rational Metareasoning, Montreal, Canada. (2015)
5. 18.
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   Peng, Z.; Braun, D.: Developing neural networks with neurons competing for survival. In: 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2015), S. 152 - 153. 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2015), Providence, RI, USA. IEEE, Piscataway, NJ, USA (2015)
6. 19.
   MPG.PuRe

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   Peng, Z.; Braun, D. A.: Developing neural networks with neurons competing for survival. In: Proceedings Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015, S. 152 - 153. Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 , Providence, RI, USA, 13. August 2015 - 16. August 2015. IEEE, Piscataway, NJ, USA (2015)

Vortrag (4)

1. 20.
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   Braun, D.: Sensorimotor learning and decision-making in complex environments. Kolloquium "Berner Gespräche zur Sportwissenschaft", Bern, Switzerland (2017)
2. 21.
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   Braun, D.: Information-Theoretic Bounded Rationality for Learning and Decision-Making. NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, Barcelona, Spain (2016)
3. 22.
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   Genewein, T.: Information-theoretic bounded rationality in perception-action systems. ICRA 2016 Workshop on Task-Driven Perceptual Representations: Sensing, Planning and Control under Resource Constraints, Stockholm, Sweden (2016)
4. 23.
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   Braun, D.: Model uncertainty in sensorimotor learning and decision-making. IROS 2015 2nd Workshop on The Role of Human Sensorimotor Control in Surgical Robotics, Hamburg, Germany (2015)

Poster (1)

1. 24.
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   Poster

   Grau-Moya, J.; Krueger, M.; Braun, D.: Non-equilibrium behaviour of information-processing systems with computational constraints. Workshop on Recent Developments In Non-Equilibrium Physics "Luxembourg out of Equilibrium", Luxembourg, Luxembourg (2015)