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Top-Down Processing
Originates in higher cognition + proceeds downward toward sensations
types
expectation/bias
context
higher levels of analysis that affect lower ones
Top
Area of brain responsible for high-level cognition
goal setting
decision-making
Down
Refers to lower-level area of brain that receive input from sensation
vision
audition
Signal detection theory
Addresses how we make these detection decisions
Demonstrates how expectation/bias (top-down influence) effect perception
Signal detection theory: signal
Something in environment you are trying to detect
Signal detection theory: noise
Things in environment other than the signal
Signal detection theory: sensitivity
How easy/difficult it is to discriminate signal (beep) from noise
How good detectors are
vision
hearing
sense of touch
Signal detection theory: bias
Your bias/tendency to say
yes vs no
Determined by expectations or payoffs
Signal detection theory: hits
There is a signal present + correctly detect it
Signal detection theory: misses
There is a signal present + fail to detect it
Signal detection theory: correct rejections
There is no signal + correctly say there was no signal
Signal detection theory: false alarms
There is no signal + you say there was a signal
Signal detection theory: bias/payoff effects.
Participants lower threshold to have an increased chance of getting $10 in both experiences
Use payoff to increase production of yes or no criterian threshold bias
Context effects
when perceptions of an object is affected by its context/environment
Subjective contours
Letter recognition
Subjective contours
Add 3 pac-man shapes and 3 angle brackets
In mind, they perceive triangles (not present)
Neurons perceive the contours/edges as if they were present based on context
Word superiority effect (reicher)
example of top-down effect
high-lvl (words) affect perception of lower-level (letters)
Superior at pattern recognition in words vs in letter form
pseudoword superiority effect
During a forced choice task
They give 2 alternative choices
During this, there will be a non-word condition that is pronounceable, not real word
Better than letter condition still
Not as strong as real-word condition
interactive activation model (McClelland + Rumelhart of 1981)
Two sources of input
bottom-up activation from features
top-bottom from the words
Helps support the word superiority effect