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Bottom up (data-driven) processing
Stimulus driven effects and analysis of form
Top down (concept-driven) processing
Knowledge or expectation driven effects, knowledge of word formation in English guides interpretation of ambiguous letters
Visual Search Tasks
Pattern recognition begins with features (priority in perception)
Conjunctive Search
A search for an item with a combination of features
Feature Search
A search for one salient characteristic of the target
Integrative Agnosia
Caused by parietal cortex damage, difficulty recognizing and interpreting objects
Associative Agnosia
No difficulty in perceiving entire object but cannot recognize it for what it is
Tachistoscope
Presenting stimuli for precisely controlled amounts of time
Mask
Stimulus designed to disrupt further sensory processing of words, random strings of letters
Repetition Priming
Words recently seen are better recognized
Word Superiority Effect
Words in general better recognized compared to strings of letters
Over Regularization Errors
People can perceive stimuli as being more regular than they actually are
Feature Net
How visual system recognize words
Detectors
initial layer at the bottom, (neural network) receptive fields fire a signal when a threshold of stimulation is reached, complex assemblies of neurons
Frequency and Repetition
F leads to higher recency, R increases recency
Bigrams
Letter pairs such as TH and CO
Parallel Distributed Processing (Distributed Knowledge)
Letters and bigrams not represented locally but distributed across the network as a whole
McClelland and Rumelharts model of Word Recognition
Excitatory and inhibitory connections between detectors, top down and bottom-up communication between levels
Activation Levels
Repeated stimulus increases activation level of detectors responding to stimulus, higher activation level = lower response threshold (recent/frequent words/letters)
Recognition by Components Model (RBC)
Geons (basic shapes) building blocks for all 3d forms
Geometric Ions
Objects defined as relationships between geons
Geon Assemblies
Brain combines basic shapes into more complex arrangements based on edges, axis, position, and arrangement defining the geon
Viewpoint Independent
A geon can be identified from virtually any angle, most objects recognized from just a few geons