EXP3604C Exam 2 questions well answered
already passed
1. Feature Nets a system for recognizing patterns
(bottom-up processing)
2. feature nets bottom/feature layer - features
lay- ers
letter layer - letters
bigram layer - common pairs of letters
word layers- words
3. feature nets -
ac- tivation how ready a node is to fire? how much energy is needed to activate
node?
level
4. bottom-up
pro- cessing small features to form recognition
5. example of
bot- tom up listening to a foreign language - brain perceives tones and words to
process- ing form mean- ings
6. top-down
pro- cessing using prior knowledge to recognize familiar objects
7. example of
top down understanding a conversation a loud room. you may unable to hear it
processing but you can piece together the sentence.
8. factors 1. familiarity
influenc- ing 2. priming
recognition 3. word-superiority detect
4. well-formedness
1/
13
, EXP3604C Exam 2 questions well answered
already passed
9. processing is more efficient at second presentation of stimulus
2/
13
already passed
1. Feature Nets a system for recognizing patterns
(bottom-up processing)
2. feature nets bottom/feature layer - features
lay- ers
letter layer - letters
bigram layer - common pairs of letters
word layers- words
3. feature nets -
ac- tivation how ready a node is to fire? how much energy is needed to activate
node?
level
4. bottom-up
pro- cessing small features to form recognition
5. example of
bot- tom up listening to a foreign language - brain perceives tones and words to
process- ing form mean- ings
6. top-down
pro- cessing using prior knowledge to recognize familiar objects
7. example of
top down understanding a conversation a loud room. you may unable to hear it
processing but you can piece together the sentence.
8. factors 1. familiarity
influenc- ing 2. priming
recognition 3. word-superiority detect
4. well-formedness
1/
13
, EXP3604C Exam 2 questions well answered
already passed
9. processing is more efficient at second presentation of stimulus
2/
13
