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Chapter 4: Recognizing Objects (Word Recognition (Feature Nets (System of…
Chapter 4: Recognizing Objects
Possessing
Top-Down
Concept Driven
Bottom-Up
Data Driven
Visual Features
Integrative agnosia
Parietal Lobe
Word Recognition
Word-superiority effect
Well-Formedness
Tachistoscope
Mask
Post-stimulus
Measured stimulus
Primes
Repetition Priming
Feature Nets
System of Detectors
Activation Level
Response Threshold
Warm up effect
Bigram Detectors
Distributed Knowledge
McClelland Rumelhart Model
Inhibitory connections
Excitatory Connection
Recognition by Component (RBC)
Geons
Veiwpoint Independent
Object Recognition
Facial
Prosopagnosia
Holistic Recognition
Composite effect
Top Down Influences