All Stories

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