Chapter 4: Recognizing Objects Flashcards
Top-Down Processing
A sequence of events that is heavily shaped by the knowledge and expectations that the person brings to the situation. Often contrasted with bottom-up processing.
Bottom-Up Processing
A sequence of events that is governed by the stimulus input itself. Often contrasted with top-down processing.
Visual Search Tasks
An often-used laboratory task in which research participants are asked to search for a specific target (e.g., a shape, or the shape of a certain color) within a field of other stimuli; usually, the researcher is interested in how quickly the participants can locate the target.
Tachistoscope
A device that allows the presentation of stimuli for precisely controlled amounts of time, including very brief presentations.
Mask
A visual presentation that is 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 que.
Repetition Priming
A pattern of priming that occurs simply because a stimulus is presented a second time; processing is more efficient on the second presentation.
Word Superiority Effect (WSE)
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.
Well-Formedness
A measure of the degree to which a string of symbols (usually letters) conforms to the usual patterns (for letters: the rules of spelling); for example, the nonword “FIKE” is well formed in English, but “IEFK” is not.
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.
Bigram Detector
Hypothetical units in a recognition system that respond, or fire, whenever a specific letter pair is in view.
Local Representation
A mode of representation in which information is encoded in a small number of identifiable nodes. Local representations are sometimes spoken of as “one idea per node” or “one content per location”. Often contrasted with distributed representation.
Distributed Representation
A mode of representing ideas or contents in which there is no one node (or specific group of nodes) representing the content and no one place where the content is stored. Instead, the content is represented via a pattern of simultaneous activity across many nodes within a network. The same nodes will also participate in other patterns, so those nodes will also be apart of other distributed representations. Often contrasted with local representation.
