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Perception of Visual Stimuli: Channels, Adaptation, and Cortical Organization

This lecture explores the role of the lateral geniculate nucleus, different cell types in the visual cortex, and the processing of visual information. Topics include channel coding, adaptation, cortical organization, and spatial vision.

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Perception of Visual Stimuli: Channels, Adaptation, and Cortical Organization

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  1. PSYCH 2220 Perception Lecture 5

  2. Keywords for lecture 4 Lateral geniculate nucleus, layers, magnocellular, parvocellular, magnification factor, simple cells, complex cells, hypercomplex cells, Hubel and Wiesel cortical cells tuned for orientation, binocular, tuned for width-of-bars, movement, direction, tilt after effect, adaptation, channel coding

  3. Response before adaptation for each channel... .. Is reduced depending on each channel’s adaptation. The peak of the extrapolated curve… .. Is thus shifted. Hypothetical channels Amount of adaptation

  4. Response before adaptation for each channel... .. Is reduced depending on each channel’s adaptation. The peak of the extrapolated curve… .. Is thus shifted. Hypothetical channels Amount of adaptation

  5. Response before adaptation for each channel... .. Is reduced depending on each channel’s adaptation. The peak of the extrapolated curve… .. Is thus shifted. Hypothetical channels Amount of adaptation

  6. Structure and organization of the cortex

  7. Pinwheels in the cortex

  8. Visualizing orientation columns in the cortex (Using radioactive deoxyglucose)

  9. Ocular dominance bands over the cortex

  10. What happens beyond the hypercomplex cells? Grandmother cells heirarchy prosopagnosia face cells; hand cells anatomy

  11. transient cells magnocellular layers of LGN parvocellular layers of LGN sustained cells

  12. Stimuli used to investigate processing of cells in the inferotemporal region. The image of the monkey’s hand elicited the largest response…. ...from a cell in the Inferotemporal cortex

  13. A face cell…. ...from the Inferotemporal cortex

  14. An example of distributed coding

  15. SPATIAL VISION

  16. Fourier’s theorem: “any complex curve can be mathematical described as the sum of a series of sine waves”

  17. Just low frequencies all frequencies

  18. invisible Threshold contrast visible Spatial Frequency

  19. Photopic Threshold contrast Scotopic Spatial Frequency

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