(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. Also, ignore any terms that have lines through them; and additional terms from the 9th Edition -- though some of these may have been in the earlier edition -- are presented in red font, for those of you relying on the earlier edition...)
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
Blum Rumelhart
Biederman Biederman,
Yu, & Davidoff Massaro &
Cohen
Ullman
Grainger & Whitney Huber & O'Reilly
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
Healy Hasher
& Zacks Naveh-Benjamin
Čech Pollatsek,
Fisher, & Pradhan Strayer &
Johnson Strayer
& Drew
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: artificial intelligence)
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 cognitive
neuroscience fMRI PET
ERP
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 (misconjunctions) 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
neural habituation
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 (multimode)
model
voluntary/involuntary
attention 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 obligatory encoding
obligatory retrieval instance representation
incidental
learning intentional learning
frequency
information spatial information temporal
information