Chapter 4: Recognizing Objects Flashcards
Visual search tasks
Tasks in which study participants are asked to examine a display and judge whether a particular target is or is not present
I Spy, Where’s Waldo, etc.
Test yourself
What is the difference between bottom-up and top-down processing?
Bottom-up processing refers to the process of starting with the stimulus itself while top-down is the process of starting with background knowledge
“Data driven” vs. relying on knowledge
Bottom-up processing
Sequence of events governed by the stimulus input itself, often contrasted with top-down processing
Tachistoscope
A device that allows the presentation of stimuli for precisely controlled amounts of time, including very brief presentations
Word superiority effect (WSE)
We are better at recognizing letters if they appear in a word than if they appear in isolation
Top-down processing
Sequence of events governed by the knowledge and expectations an individual brings to a situation, often contrasted with bottom-up processing
Mask
Visual presentation used to interrupt the processing of another visual stimulus
Priming
A process through which one input or cue prepares a person for an upcoming input or cue
Repitition priming
A stimulus is presented again as a form of priming
Test yourself
What is repetition priming and how is it demonstrated?
Repetition priming is a pattern of priming that occurs because the stimulus appears a second time
For example, if participants read a list of words aloud and are then presented with a series of words (some new some old), they’ll recognize the primed words at a higher rate
Test yourself
What procedure demonstrates the WSE?
Word-superiority effect
Two-alternative forced-choice procedures
Test yourself
What’s the evidence that word perception is somehow governed by rules of ordinary spelling?
- Errors are systematic
- Strong tendency to misread less-common letter sequences as if they were more-common sequences (Eg. “TPUM” as “TRUM”)
Activation level
A measure of current status for a node or detector
Increased if the node or detector receives the appropriate input from its associated nodes or detectors
High if input received frequently or recently
Feature nets
Systems for recognizing patterns involving a network of detectors
Detectors for features serve as the initial layer in each system
Response threshold
Quantity of information/activation needed to trigger a response in a node or detector
AKA a response from a neuron