Probability Matching as a Computational Strategy Used in Perception

Cited by (266)

Items 101–200 of 266

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5. The context of experienced sensory discrepancies shapes multisensory integration and recalibration differently
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6. Bayesian causal inference in visuotactile integration in children and adults
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7. Repeated exposure to either consistently spatiotemporally congruent or consistently incongruent audiovisual stimuli modulates the audiovisual common-cause prior
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8. Different types of uncertainty in multisensory perceptual decision making
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9. Sensory and decisional components of endogenous attention are dissociable
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10. Visual–somatotopic interactions in spatial perception
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11. Explicit knowledge of sensory non-redundancy can reduce the strength of multisensory integration
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12. Bayesian priors and multisensory integration at multiple levels of visual processing
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13. Crossmodal binding rivalry: A “race” for integration between unequal sensory inputs
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14. Visual body form and orientation cues do not modulate visuo-tactile temporal integration
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15. Temporal Binding in Multisensory and Motor-Sensory Contexts: Toward a Unified Model
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16. Human inference in changing environments with temporal structure.
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17. Causal inference for spatial constancy across whole body motion
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18. Bayesian Reinforcement Learning With Limited Cognitive Load
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19. Audiovisual spatial recalibration but not integration is shaped by early sensory experience
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20. A Simple Artificial Life Model Explains Irrational Behavior in Human Decision-Making
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21. Neuromodulated attention and goal-driven perception in uncertain domains
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22. To maximize or randomize? An experimental study of probability matching in financial decision making
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23. Effect of depth information on multiple-object tracking in three dimensions: A probabilistic perspective
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24. A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
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25. Effect of timing delay between visual and vestibular stimuli on heading perception
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26. Evaluating the Bayesian causal inference model of intentional binding through computational modeling
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27. Comparison of congruence judgment and auditory localization tasks for assessing the spatial limits of visual capture
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28. The material-weight illusion is a Bayes-optimal percept under competing density priors
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29. Metacognition in the audiovisual McGurk illusion: perceptual and causal confidence
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30. Effect of range of heading differences on human visual–inertial heading estimation
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31. White-Matter Pathways for Statistical Learning of Temporal Structures
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32. Prior expectation of objects in space is dependent on the direction of gaze
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33. Explaining the Effect of Likelihood Manipulation and Prior Through a Neural Network of the Audiovisual Perception of Space
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34. A Match Made by Modafinil: Probability Matching in Choice Decisions and Spatial Attention
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35. Exploring the time window for causal inference and the multisensory integration of actions and their visual effects
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36. To integrate or not to integrate: Temporal dynamics of hierarchical Bayesian Causal Inference
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37. BCI Toolbox: An open-source python package for the Bayesian causal inference model
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38. Not seeing the forest for the trees: combination of path integration and landmark cues in human virtual navigation
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39. Multisensory Integration and Causal Inference in Typical and Atypical Populations
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40. Multisensory perceptual and causal inference is largely preserved in medicated post-acute individuals with schizophrenia
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41. Hierarchical motion perception as causal inference
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42. See what you hear – How the brain forms representations across the senses
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43. Common causation and offset effects in human visual-inertial heading direction integration
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44. Optimal attentional allocation in the presence of capacity constraints in uncued and cued visual search
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45. Robust spatial ventriloquism effect and trial-by-trial aftereffect under memory interference
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46. Atypical development of causal inference in autism inferred through a neurocomputational model
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47. Relative cue precision and prior knowledge contribute to the preference of proximal and distal landmarks in human orientation
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48. Bayesian regression explains how human participants handle parameter uncertainty
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49. Neural implementation of probabilistic models of cognition
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50. Task-uninformative visual stimuli improve auditory spatial discrimination in humans but not the ideal observer
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51. Human Inference in Changing Environments with Temporal Structure
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52. Multisensory Integration in Body Representation
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53. Gustatory cortex neurons perform reliability-dependent integration of multisensory flavor inputs
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54. Processing Spatial Cue Conflict in Navigation: Distance Estimation
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55. Older adults preserve audiovisual integration through enhanced cortical activations, not by recruiting new regions
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56. Context Effects in the Judgment of Visual Relative-Frequency: Trial-by-Trial Adaptation and Non-linear Sequential Effect
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57. Stronger saccadic suppression of displacement and blanking effect in children
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58. Perceptual clustering in auditory streaming
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59. A Survey on Probabilistic Models in Human Perception and Machines
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60. Diversification of perceptual mechanisms underlying preserved multisensory behaviour in healthy aging
    Hame Park, Christoph Kayser · 2020 · Publikationen an der Universität Bielefeld (Universität Bielefeld)
61. Toward a Unified Theory of the Reference Frame of the Ventriloquism Aftereffect
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62. Comparing Bayesian models for simultaneity judgement with different causal assumptions
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63. Psychophysical Models of Sound Localisation with Audiovisual Interactions
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64. Temporal Audiovisual Motion Prediction in 2D- vs. 3D-Environments
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65. Hierarchical motion perception as causal inference
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66. Modeling Multisensory Integration in Hand Redirection: A Bayesian Causal Inference Framework for Understanding Individual Variability
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67. Bayesian mixture estimation for perceptual grouping
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68. IMPLEMENTATION OF OCCUPANT BEHAVIOUR MODELS FOR WINDOW CONTROL USING CO-SIMULATION APPROACH
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69. Interhemispheric multisensory perception and Bayesian causal inference
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70. Both stimulus‐specific and configurational features of multiple visual stimuli shape the spatial ventriloquism effect
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71. Humans use underestimates of auditory spatial and temporal uncertainty for perceptual inference
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72. Collective decision-making for dynamic environments with visual occlusions
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73. What Happened to the Quants in August 2007?
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74. Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration
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75. The Influence of Exposure and Error Type on Estimates of Automation Reliability
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76. The Ventriloquist Effect is not Consistently Affected by Stimulus Realism
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77. Bimodular continuous attractor neural networks with static and moving stimuli
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78. Precision-based causal inference modulates audiovisual temporal recalibration
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79. Sensorimotor Integration: A Review of Neural and Computational Models and the Impact of Parkinson’s Disease
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80. Unraveling Audiovisual Perception Across Space and Time: A Neuroinspired Computational Architecture
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81. Causal inference shapes crossmodal postdiction in multisensory integration
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82. The influence of early audiovisual experience on multisensory integration and causal inference (commentary on Smyre et al., 2021)
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83. Intrinsic timescales of sensory integration for motion perception
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84. Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control
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85. Inferring sources of suboptimality in perceptual decision making using a causal inference task
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86. Multisensory integration and its plasticity – How do innate and postnatal factors contribute to forming individual differences?
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88. Visual categorisation of images of familiar objects based on their authenticity: an fMRI study
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89. Multisensory integration in chaotic networks
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90. Prior expectations guide multisensory integration during face-to-face communication
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91. Space Impacts Temporal Processing via a Visual-Dependent Spatially Organized Neural Architecture
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92. Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference
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93. Analyzing multisensory integration: Do’s and don’ts
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94. A Bayesian psychophysical model for angular variables
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95. Developmental changes in audiotactile event perception
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