All Stories

  1. Dynamics of efficient ensemble coding
  2. The resource-rational dynamics of evidence accumulation
  3. Confirmation bias through selective readout of information encoded in human parietal cortex
  4. A linear perception-action mapping accounts for response range-dependent biases in heading estimation from optic flow
  5. The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary
  6. Adaptation optimizes sensory encoding for future stimuli
  7. Dynamics of efficient ensemble coding
  8. The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary
  9. Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex
  10. A linear perception-action mapping accounts for response range-dependent biases in heading estimation from optic flow
  11. Adaptation optimizes sensory encoding of future stimuli
  12. Sensory perception is a holistic inference process.
  13. Efficient sensory encoding predicts robust averaging
  14. Efficient neural codes naturally emerge through gradient descent learning
  15. Holistic inference explains human perception of stimulus orientation
  16. Efficient Sensory Encoding Predicts Robust Averaging
  17. Erratum: Zhang and Stocker, “Prior Expectations in Visual Speed Perception Predict Encoding Characteristics of Neurons in Area MT”
  18. Efficient neural codes naturally emerge through gradient descent learning
  19. Prior Expectations in Visual Speed Perception Predict Encoding Characteristics of Neurons in Area MT
  20. Prior expectations in visual speed perception predict encoding characteristics of neurons in area MT
  21. Categorical judgments do not modify sensory representations in working memory
  22. Individuals with autism spectrum disorder have altered visual encoding capacity
  23. Benefits of commitment in hierarchical inference.
  24. Categorical judgments do not modify sensory information in working memory
  25. Aberrant Sensory Encoding in Patients with Autism
  26. Benefits of commitment in hierarchical inference
  27. Post-decision biases reveal a self-consistency principle in perceptual inference
  28. Credo for optimality
  29. High- to low-level decoding does not generally improve perceptual performance
  30. Visual Decision-Making in an Uncertain and Dynamic World
  31. Lawful relation between perceptual bias and discriminability
  32. Choice-induced biases in visually perceived numerosity
  33. A new law of human perception
  34. Efficient Neural Codes That Minimize Lp Reconstruction Error
  35. A new law defining the relationship between perceptual bias and discrimination threshold
  36. Making a categorical decision does not modify the stimulus representation in working memory
  37. Choice-induced biases in perception
  38. Mutual Information, Fisher Information, and Efficient Coding
  39. A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts
  40. Humans maintain probabilistic belief states when tracking occluded objects
  41. Perceptual adaptation: Getting ready for the future
  42. The decision, not the decision task, causes perceptual biases away from the decision boundary
  43. Signal Integration in Human Visual Speed Perception
  44. Optimal combination of multiple spatiotemporal frequency cues in human visual speed perception
  45. Characterizing the Impact of Category Uncertainty on Human Auditory Categorization Behavior
  46. Dynamic belief state representations
  47. A new two-alternative forced choice method for the unbiased characterization of perceptual bias and discriminability
  48. S4-4: Optimal Signal Integration across Spatiotemporal Frequency Channels in Visual Speed Perception
  49. Bayesian Inference with Efficient Neural Population Codes
  50. Optimal signal integration across spatiotemporal frequency channels accounts for perceived visual speed
  51. Optimal inference explains the perceptual coherence of visual motion stimuli
  52. Differential attentional modulation of cortical responses to S-cone and luminance stimuli
  53. Ambiguity and invariance: two fundamental challenges for visual processing
  54. Is the Homunculus “Aware” of Sensory Adaptation?
  55. Visual motion aftereffects arise from a cascade of two isomorphic adaptation mechanisms
  56. Visual adaptation: Neural, psychological and computational aspects
  57. An embedded vision system based on an analog VLSI optical flow vision sensor
  58. Analog VLSI Circuits for the Perception of Visual Motion
  59. Noise characteristics and prior expectations in human visual speed perception
  60. Analog Integrated 2-D Optical Flow Sensor
  61. Analog VLSI Focal-Plane Array With Dynamic Connections for the Estimation of Piecewise-Smooth Optical Flow
  62. Stability study of some neural networks applied to tissue characterization of brain magnetic resonance images
  63. Analog integrated 2-D optical flow sensor with programmable pixels
  64. An improved 2D optical flow sensor for motion segmentation
  65. Compact integrated transconductance amplifier circuit for temporal differentiation
  66. An embedded vision system based on an analog VLSI vision sensor