Excel Notes to study from, Transcriptions of Psychology

Excel Notes to study from Excel Notes to study from

Typology: Transcriptions

2022/2023

Uploaded on 01/15/2026

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Lecture Notes - Michelle Greene
- Human eye: 126 million photoreceptors
- The optics of the eye are very bad
- When we walk, most of the time we stare right at the ground
- We think we see the full picture of what is around us
- Scene structure influences scene motion
- Depth of the scene gives us meaning
- Linear perspective changes the things we can do or say
- Global property space: concealment, temperature, expansiveness, openness, navigability,
transience, mean depth
- Computational, rapid perception, selective adaptation, influences categorization,
neural responses
- Predictions: more similarity, more false alarms
- JJ Gibson: “The meaning or value of a thing is what it affords”
-US Bureau of Labor Statistics → how do people spend their time?
- 227 actions
- 17 major categories
- Affordances best match human scene representations
- below the ceiling
- Affordance must explain most unique variance
-Attributes to the world → sunny, busy, driving, walking (features in an environment)
- Research plan: extract variety of scene and decorrelate them
- EEF on the brain; millisecond temporal resolution, centimeter spatial resolution, direct
measure of neural populations, best at superficial sources
- EPR encoding for brain response
- Results: behavior predicting ERPs
-1st peak → posterior electrodes, 2nd peak → anterior electrodes
- Shared variance between features and behavior
- Is vision is primarily bottom-up, then the probability should not matter
- Learning to love the questions: be patient and persistent, read, get a great team
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Lecture Notes - Michelle Greene

  • Human eye: 126 million photoreceptors
  • The optics of the eye are very bad
  • When we walk, most of the time we stare right at the ground
    • We think we see the full picture of what is around us
  • Scene structure influences scene motion
    • Depth of the scene gives us meaning
  • Linear perspective changes the things we can do or say
  • Global property space: concealment, temperature, expansiveness, openness, navigability, transience, mean depth - Computational, rapid perception, selective adaptation, influences categorization, neural responses
  • Predictions: more similarity, more false alarms
  • JJ Gibson: “The meaning or value of a thing is what it affords”
  • US Bureau of Labor Statistics → how do people spend their time?
    • 227 actions
    • 17 major categories
  • Affordances best match human scene representations
    • ⅔below the ceiling
  • Affordance must explain most unique variance
  • Attributes to the world → sunny, busy, driving, walking (features in an environment)
  • Research plan: extract variety of scene and decorrelate them
  • EEF on the brain; millisecond temporal resolution, centimeter spatial resolution, direct measure of neural populations, best at superficial sources
  • EPR encoding for brain response
  • Results: behavior predicting ERPs
    • 1st peak → posterior electrodes, 2nd peak → anterior electrodes
  • Shared variance between features and behavior
  • Is vision is primarily bottom-up, then the probability should not matter
  • Learning to love the questions: be patient and persistent, read, get a great team

Talk Reflection Attending Dr. Michelle Greene’s lecture made me reflect on how much of what we “see” is shaped by our brain, rather than our eyes. One of the most surprising things I learned was that the human eye has 126 million photoreceptors but still has poor optics. This challenged how I think about vision – it’s not just about what is in front of us, but rather how our brain fills in the gaps. This urged me to think about the moments in my life when I thought I was sure of what I saw, only to realize later how subjective my perception was. I was especially interested during the discussion of scene motion and depth, specifically how linear perspective influences what we perceive. This urged me to reflect on how our environment shapes not only what we see but how we interpret the world around us. Growing up in Nebraska, I was surrounded by quiet streets, cornfields, and a city that was more spread out. While my transition to New York City has been fairly smooth, the chaos and busyness is something that I had to get used to. I realized that these different environments evoke different emotions and actions, which I learned is tied to the brain’s ability to rapidly process and adapt to different scenes. The most inspiring part of the lecture was Dr. Greene’s advice to “love the questions”. As someone who often strives to have immediate answers to difficult questions, I was reminded that uncertainty is a beautiful aspect of life. This reminded me to embrace curiosity and continue to nurture my passion to learn more about the ways of the world. Dr. Greene’s lecture didn’t just teach me about the psychology of vision, but gave me a new perspective on how to approach different struggles that I may encounter in my life.