All Stories

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