Recognizing Objects (CH. 4) Flashcards
Recognition
Typically:
- Fast
- Effortless
- Prone to error
Fast Pop-Out Search
When all items except the target share the same feature, target is easy to find, regardless of the number of distracting items (sometimes called the singleton search)
Slow Conjunction Search
Target does not possess any unique features, and only can be identified based on a conjunction of two or more features. The more distracting items there are, the slower the search is
Frequency and Recency
Familiar (high-frequency) words are likely to be recognized.
Recently primed words are more likely to be recognized.
Word Superiority Effect
The data pattern in which research participants are more accurate and more efficient in recognizing letters if the letters appear within a word (or a word-like letter string) than they are in recognizing letters appearing in isolation
Degree of Well-Formedness
A measure of the degree to which a string of symbols (usually letters) conforms to the usual patterns (e.g., the nonword “FIKE” is well formed in English, but “IEFK” is not)
What is Bottom-Up Processing?
A sequence of events that is governed by the stimulus input itself
What is Top-Down Processing?
A sequence of events that is heavily shaped by the knowledge and expectations that the person brings to the situation
What are Feature Nets?
Systems for recognizing patterns that involve a network of detectors, with detectors for features serving as the initial layer in each system
Activation Level
A measure of the current status for a node or detector. Activation level is increased if the node or detector receives the appropriate input from its associated nodes or detectors; activation level will be high if input has been received frequently or recently
Response Threshold
The quantity of information or activation needed to trigger a response in a node or detector, or, in a neuroscience context, a response from a neuron
Distributed Knowledge
Relative activation across nodes more important than local activation within one node
McClelland and Rumelhard
Connections can be feed-forward or feedback, and excitatory or inhibitory
Excitatory Connections
A link from one node, or one detector, to another, such that activation of one node activates the other
Inhibitory Connections
A link from one node, or detector, to another, such that activation of one node decreases the activation level of the other