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Bayesian integration in sensorimotor learning

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Cited by:

  1. Jingwei Sun & Jian Li & Hang Zhang, 2019. "Human representation of multimodal distributions as clusters of samples," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-29, May.
  2. Seth W. Egger & Stephen G. Lisberger, 2022. "Neural structure of a sensory decoder for motor control," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  3. Isabelle Brocas & Juan D Carrillo, 2007. "Reason, Emotion, and Information Processing in the Brain," Levine's Working Paper Archive 122247000000001594, David K. Levine.
  4. Jordi Grau-Moya & Pedro A Ortega & Daniel A Braun, 2016. "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, Public Library of Science, vol. 11(4), pages 1-21, April.
  5. Luigi Acerbi & Sethu Vijayakumar & Daniel M Wolpert, 2014. "On the Origins of Suboptimality in Human Probabilistic Inference," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-23, June.
  6. Paul VanGilder & Ying Shi & Gregory Apker & Keith Dyson & Christopher A Buneo, 2016. "Multisensory Interactions Influence Neuronal Spike Train Dynamics in the Posterior Parietal Cortex," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-18, December.
  7. Philipp Schustek & Rubén Moreno-Bote, 2018. "Instance-based generalization for human judgments about uncertainty," PLOS Computational Biology, Public Library of Science, vol. 14(6), pages 1-27, June.
  8. Ian H Stevenson & Hugo L Fernandes & Iris Vilares & Kunlin Wei & Konrad P Körding, 2009. "Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task," PLOS Computational Biology, Public Library of Science, vol. 5(12), pages 1-9, December.
  9. Kristjan Kalm & Dennis Norris, 2021. "Sequence learning recodes cortical representations instead of strengthening initial ones," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-34, May.
  10. Lars Buesing & Johannes Bill & Bernhard Nessler & Wolfgang Maass, 2011. "Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-22, November.
  11. Shih-Wei Wu & Maria F Dal Martello & Laurence T Maloney, 2009. "Sub-Optimal Allocation of Time in Sequential Movements," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-13, December.
  12. Alice Soldà & Changxia Ke & Lionel Page & William von Hippel, 2020. "Strategically delusional," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 604-631, September.
  13. Alice Soldà & Changxia Ke & Lionel Page & William von Hippel, 2019. "Strategically delusional," Working Papers 1908, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  14. Siqueira, Jose Ribamar & ter Horst, Enrique & Molina, German & Losada, Mauricio & Mateus, Marelby Amado, 2020. "A Bayesian examination of the relationship of internal and external touchpoints in the customer experience process across various service environments," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
  15. Tyler Cluff & Ramesh Balasubramaniam, 2009. "Motor Learning Characterized by Changing Lévy Distributions," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-7, June.
  16. Tim Genewein & Eduard Hez & Zeynab Razzaghpanah & Daniel A Braun, 2015. "Structure Learning in Bayesian Sensorimotor Integration," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-27, August.
  17. Nathan F Lepora & Giovanni Pezzulo, 2015. "Embodied Choice: How Action Influences Perceptual Decision Making," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-22, April.
  18. Vassilios N Christopoulos & Paul R Schrater, 2009. "Grasping Objects with Environmentally Induced Position Uncertainty," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-11, October.
  19. Felix Polyakov, 2021. "Representation of probability distributions with implied volatility and biological rationale," Papers 2110.03517, arXiv.org.
  20. Hang Zhang & Nathaniel D Daw & Laurence T Maloney, 2013. "Testing Whether Humans Have an Accurate Model of Their Own Motor Uncertainty in a Speeded Reaching Task," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-11, May.
  21. Leopold Zizlsperger & Thomas Sauvigny & Thomas Haarmeier, 2012. "Selective Attention Increases Choice Certainty in Human Decision Making," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
  22. Hertel, Johanna & Igan, Deniz & Smith, John, 2023. "On the dynamics of the responses in Frydman and Jin (2022): Nullius in verba," MPRA Paper 117788, University Library of Munich, Germany.
  23. Ofri Raviv & Merav Ahissar & Yonatan Loewenstein, 2012. "How Recent History Affects Perception: The Normative Approach and Its Heuristic Approximation," PLOS Computational Biology, Public Library of Science, vol. 8(10), pages 1-10, October.
  24. Xinzheng Zhang & Jianfen Zhang & Junpei Zhong, 2017. "Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory," Complexity, Hindawi, vol. 2017, pages 1-16, November.
  25. Geonhui Lee & Woong Choi & Hanjin Jo & Wookhyun Park & Jaehyo Kim, 2020. "Analysis of motor control strategy for frontal and sagittal planes of circular tracking movements using visual feedback noise from velocity change and depth information," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
  26. Martin Graziano & Mariano Sigman, 2009. "The Spatial and Temporal Construction of Confidence in the Visual Scene," PLOS ONE, Public Library of Science, vol. 4(3), pages 1-10, March.
  27. Daniel Durstewitz, 2017. "A state space approach for piecewise-linear recurrent neural networks for identifying computational dynamics from neural measurements," PLOS Computational Biology, Public Library of Science, vol. 13(6), pages 1-33, June.
  28. Michael Bergin & Kylie Tucker & Bill Vicenzino & Paul W Hodges, 2021. "“Taking action” to reduce pain—Has interpretation of the motor adaptation to pain been too simplistic?," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
  29. Nils Neupärtl & Fabian Tatai & Constantin A Rothkopf, 2020. "Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics," PLOS Computational Biology, Public Library of Science, vol. 16(10), pages 1-26, October.
  30. Alex B Fine & T Florian Jaeger & Thomas A Farmer & Ting Qian, 2013. "Rapid Expectation Adaptation during Syntactic Comprehension," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-18, October.
  31. Kang He & You Liang & Farnaz Abdollahi & Moria Fisher Bittmann & Konrad Kording & Kunlin Wei, 2016. "The Statistical Determinants of the Speed of Motor Learning," PLOS Computational Biology, Public Library of Science, vol. 12(9), pages 1-20, September.
  32. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  33. Brocas, Isabelle & Carrillo, Juan D., 2012. "From perception to action: An economic model of brain processes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 81-103.
  34. Edward J A Turnham & Daniel A Braun & Daniel M Wolpert, 2011. "Inferring Visuomotor Priors for Sensorimotor Learning," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-13, March.
  35. Guido Marco Cicchini & Giovanni D’Errico & David Charles Burr, 2022. "Crowding results from optimal integration of visual targets with contextual information," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  36. Long Luu & Alan A Stocker, 2021. "Categorical judgments do not modify sensory representations in working memory," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-28, June.
  37. Luigi Acerbi & Sethu Vijayakumar & Daniel M Wolpert, 2017. "Target Uncertainty Mediates Sensorimotor Error Correction," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-21, January.
  38. Frédéric Crevecoeur & Stephen H Scott, 2013. "Priors Engaged in Long-Latency Responses to Mechanical Perturbations Suggest a Rapid Update in State Estimation," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
  39. Salvador Dura-Bernal & Thomas Wennekers & Susan L Denham, 2012. "Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-25, November.
  40. Todd E Hudson & Laurence T Maloney & Michael S Landy, 2008. "Optimal Compensation for Temporal Uncertainty in Movement Planning," PLOS Computational Biology, Public Library of Science, vol. 4(7), pages 1-9, July.
  41. Duffy, Sean & Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2021. "On Bayesian integration in sensorimotor learning: Another look at Kording and Wolpert (2004)," MPRA Paper 105614, University Library of Munich, Germany.
  42. Jonathan B Dingwell & Joby John & Joseph P Cusumano, 2010. "Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking?," PLOS Computational Biology, Public Library of Science, vol. 6(7), pages 1-15, July.
  43. William T Adler & Wei Ji Ma, 2018. "Comparing Bayesian and non-Bayesian accounts of human confidence reports," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-34, November.
  44. Élise PAYZAN LE NESTOUR, 2010. "Bayesian Learning in UnstableSettings: Experimental Evidence Based on the Bandit Problem," Swiss Finance Institute Research Paper Series 10-28, Swiss Finance Institute.
  45. Jordi Grau-Moya & Pedro A Ortega & Daniel A Braun, 2012. "Risk-Sensitivity in Bayesian Sensorimotor Integration," PLOS Computational Biology, Public Library of Science, vol. 8(9), pages 1-7, September.
  46. Joseph G Makin & Matthew R Fellows & Philip N Sabes, 2013. "Learning Multisensory Integration and Coordinate Transformation via Density Estimation," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-17, April.
  47. Laurence Aitchison & Máté Lengyel, 2016. "The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-24, December.
  48. Matteo Bertucco & Nasir H Bhanpuri & Terence D Sanger, 2015. "Perceived Cost and Intrinsic Motor Variability Modulate the Speed-Accuracy Trade-Off," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
  49. Adam N Sanborn & Ulrik R Beierholm, 2016. "Fast and Accurate Learning When Making Discrete Numerical Estimates," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-28, April.
  50. Max Berniker & Martin Voss & Konrad Kording, 2010. "Learning Priors for Bayesian Computations in the Nervous System," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-9, September.
  51. Bernhard Nessler & Michael Pfeiffer & Lars Buesing & Wolfgang Maass, 2013. "Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-30, April.
  52. Jannes Jegminat & Maya A Jastrzębowska & Matthew V Pachai & Michael H Herzog & Jean-Pascal Pfister, 2020. "Bayesian regression explains how human participants handle parameter uncertainty," PLOS Computational Biology, Public Library of Science, vol. 16(5), pages 1-23, May.
  53. Udo A Ernst & Sunita Mandon & Nadja Schinkel–Bielefeld & Simon D Neitzel & Andreas K Kreiter & Klaus R Pawelzik, 2012. "Optimality of Human Contour Integration," PLOS Computational Biology, Public Library of Science, vol. 8(5), pages 1-17, May.
  54. Daniel Bjasch & Christopher J Bockisch & Dominik Straumann & Alexander A Tarnutzer, 2012. "Differential Effects of Visual Feedback on Subjective Visual Vertical Accuracy and Precision," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-11, November.
  55. Ofri Raviv & Merav Ahissar & Yonatan Loewenstein, 2012. "How recent history affects perception: the normative approach and its heuristic approximation," Discussion Paper Series dp628, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  56. Luis Nicolas Gonzalez Castro & Craig Bryant Monsen & Maurice A Smith, 2011. "The Binding of Learning to Action in Motor Adaptation," PLOS Computational Biology, Public Library of Science, vol. 7(6), pages 1-14, June.
  57. Luigi Acerbi & Daniel M Wolpert & Sethu Vijayakumar, 2012. "Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing," PLOS Computational Biology, Public Library of Science, vol. 8(11), pages 1-19, November.
  58. Daniel Blustein & Ahmed Shehata & Kevin Englehart & Jonathon Sensinger, 2018. "Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-15, December.
  59. Joshua G A Cashaback & Christopher K Lao & Dimitrios J Palidis & Susan K Coltman & Heather R McGregor & Paul L Gribble, 2019. "The gradient of the reinforcement landscape influences sensorimotor learning," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-27, March.
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