Psychology 360 (Fall, 2007): Unit I

(Note: The following is a guide to what you should know. Terms or names that appear in several units are sometimes mentioned just on first appearance. To help you locate items, these are presented in roughly the order in which they were talked about in class/text. In all cases, I've listed the people or phenomena from class notes first. Identifications on the test will ALWAYS be from this list.  Note that items in RED will be on Test 2!!!)

Names you should be familiar with:

UNIT 1: Wundt    Külpe    Watson    Neisser    Ebbinghaus    Fechner    Miller, Galanter, & Pribram

UNIT 2: Gibson    Gregory    Sperling    Haber & Standing    Von Wright    Averbach & Coriell    Mewhort & Butler
Darwin, Turvey, & Crowder    Treisman    Crowder & Morton    Ayres et al.    Neisser    Phillips
Franks & Bransford    Hubel & Wiesel    Biederman    Warren & Warren    Reicher    McClelland & Rumelhart    Egeland
Rhodes, Brennan, & Carey    Rumelhart    Biederman     Biederman & Cooper     Massaro & Cohen

UNIT 3: Cherry    Moray    Underwood    Neisser    Neisser & Becklin    Broadbent    Axelrod & Guzy    Treisman
McKay    Newstead & Dennis    Gray & Wedderburn    Treisman & Geffen    Lewis    Johnston & Heinz
Johnston & Wilson    Kahneman    Folk, Remington, & Johnston    Segal & Fusella    Norman & Bobrow    Dawson & Schell   
Spelke, Hirst, & Neisser    Posner & Snyder    Schneider & Shiffrin    Tyler et al.    Posner & Boies    Treisman & Gelade   
Logan    LaBerge & Samuels    Healy    Gopher & Kahneman    Hasher & Zacks    Naveh-Benjamin   Strayer & Johnston

 
 

Phenomena (whose relevance to theories) you should be familiar with:

UNIT 1: structuralism    memory    consciousness    feelings    psychophysics    sensations    images    mental chemistry
systematic introspection    animals    Würzburgers    imageless thought controversy    basic elements controversy    behaviorism
public facts    stimulus    response    physical events    reactive behavior    purposive behavior    computers (AI)    cybernetics
methodological behaviorism    information processing    symbolic representations    problem-solving approach
computational assumption    stage analysis    sensory input    transformation    sensory store    pattern recognition
attention (filter vs. selection)    STM    LTM    plan    TOTE unit    cognitive science

UNIT 2: Pandaemonium   image demons   feature demons   cognitive demons   decision demon  
perception   pattern recognition    direct perception theory   hypothesis-testing (construction theory)   
modality effects    pre-categorical information    sensory store    icon   whole report    partial report cue    serial/parallel scan   
decay    pattern mask    brightness mask    location errors   intrusion errors    echo    stimulus suffix effect (SSE)
template models    exact match templates    preprocessing    normalizing operations    local operations    matching task
novelty    prototype theory    degree of match    feature theories    feature analysis/extraction    confusions
conjunction errors    bug detectors    feature-list theories    structural description theories    attentional processing (synthesis)
preattentive (automatic) processing    bottom-up (data driven) processing    top-down (conceptually driven) processing
phoneme restoration effect    word superiority effect    distinctive feature    caricatures    geons    interactive activation model   
neural net models    excitatory/inhibitory links    nodes    activation    rules

UNIT 3: attention    selection    capacity limits    divided attention task    focused attention task    shadowing task
(un)attended channel    bottleneck    blocking filter model    attenuator model    contextual effect   cocktail party effect   
mental lexicon activation    priming    word thresholds    Deutsch-Norman model    pertinence    flexible filter model   
capacity/allocation models   arousal    momentary intentions    enduring dispositions    central pool    special pools    dual-tasking   
resource limitations    data limitations    EDRs    control processes    automatic processes    Stroop effect    consistent mapping   
varied mapping    detection task    serial search    parallel search    primary task    secondary (subsidiary) task    Race model   
retrieval    computation    incidental learning   intentional learning   frequency information   spatial information   temporal information