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Extinction
Reduction in behavioral responding after non-reinforced trials
Is extinction forgetting?
No; the original association persists and can return
Spontaneous recovery
A temporary increase in responding after a rest period following extinction
Renewal
Increased responding when extinction occurs in a different context than testing
Reinstatement
Exposure to the US alone restores responding to the CS
Key takeaway of extinction
Extinction does not erase the original learning; memory persists
Partial Reinforcement Extinction Effect (PREE)
Behaviors learned with partial reinforcement are more resistant to extinction
What does PREE challenge?
The idea that more reinforcement always produces stronger learning
Frustration theory
Non-reward produces frustration that becomes part of learning and increases persistence
Discrimination hypothesis
Animals fail to detect the shift from reinforcement to extinction
Does more reinforcement always increase learning?
No; PREE shows this relationship is complex
Is resistance to extinction a good measure of learning strength?
No; it can be misleading
Consolidation
Stabilization of memory requiring protein synthesis
Reconsolidation
Updating memory after retrieval
Immediate extinction deficit
Extinction is less effective when done immediately after acquisition
Mechanisms of extinction
Pavlovian and instrumental
Transitive inferential reasoning
Using learned relationships to infer new ones (A>B, B>C → A>C)
What does transitive reasoning rely on?
Multiple learned associations
Gillan & Premack experiment
Chimps trained on A>B, B>C, C>D, D>E then tested on B vs D
Chimps performance on transitive reasoning
~89% correct choices
Analogical reasoning
Understanding relationships between relationships
Perceptual analogies
Simple analogies based on shape, color, or size
Conceptual analogies
Abstract, complex analogies
Chimps performance on perceptual analogies
~85% correct
Relative brain size
More important than absolute brain size for cognition
Is language unique to humans?
Debated
Behaviorist view of language
Language is learned through stimulus-response principles
Linguist view of language
Conditioning alone cannot explain language
Why can't chimps speak?
They lack the appropriate vocal apparatus
Alternative to spoken language in chimps
Sign language
Washoe
Chimp taught American Sign Language (ASL)
Washoe vocabulary size
~350 signs
Washoe communication ability
Up to 5-word combinations
Washoe example phrase
"METAL CUP DRINK"
Loulis
Chimp that learned ASL without direct human teaching
Koko
Gorilla famous for learning sign language
Koko notable behavior
Requested and named a pet cat ("All Ball")
Lexicon
The full set of words in a language
Phoneme
The smallest sound unit of language
Grapheme
The written representation of a phoneme
Morpheme
The smallest unit of language that contains meaning
Grammar
The rules for using a language
Semantics
The meaning of words and sentences
Syntax
The rules for organizing words into sentences
Are phonemes the same as syllables?
No
Number of phonemes in English
44 total (25 consonant, 19 vowel)
Number of phonemes in Spanish
~24-29 depending on dialect
Diphthongs
Pairs of vowels that form a unique sound
Morphemes examples
Whole words or parts of words (prefixes, suffixes, roots)
What can morphemes encode?
Grammar (tense, plurality, etc.)
Critical period
Time early in life when language is best learned
Genie case study
Child deprived of language until age 13
Genie findings
Learned vocabulary but struggled with grammar
Implication of Genie
Supports a critical period for language development
Artificial intelligence (AI)
Systems that recognize stimuli, understand relationships, and produce intelligent outputs
Machine learning
Algorithms that improve performance with experience
Connectionist modeling
The mind modeled as an associative network
What does connectionist modeling mimic?
Brain learning via synaptic changes (LTP/LTD)
What happens at a synapse?
Neurotransmitter release causes changes in the postsynaptic neuron
What determines synaptic strength?
Amount of neurotransmitter and receptor properties
Long-term potentiation (LTP)
Strengthening of synaptic connections
Long-term depression (LTD)
Weakening of synaptic connections
Two ways neural networks adjust weights
Mutation and backpropagation
Backpropagation
Adjusts weights based on prediction error
Extinction importance (cognition)
Updating previous information
Extinction importance (clinical)
Used to reduce fear, anxiety, and trauma (exposure therapy)
Instrumental (R-O) Learning
Behavior changes as a function of its consequences; the response produces an outcome
Operant Learning
A subset of instrumental learning where the organism actively manipulates the environment to obtain outcomes
Discrete-trial method
Only one opportunity to respond per trial
Free-operant method
Continuous opportunity to respond at any time
Reward
Addition of an appetitive stimulus increases behavior (positive reinforcement)
Punishment
Addition of an aversive stimulus decreases behavior (positive punishment)
Omission learning
Removal of an appetitive stimulus decreases behavior (negative punishment)
Escape learning
Behavior terminates an aversive stimulus after it begins
Avoidance learning
Behavior prevents an aversive stimulus before it occurs (often signaled by a CS)
Contiguity
Temporal closeness between response and outcome; determines which behavior is associated with the outcome among many ongoing behaviors
Secondary reinforcer
A neutral stimulus that becomes reinforcing through association with a primary reinforcer
Marking stimulus
A cue that highlights which response is being reinforced despite delays
Reinforcement contingency
The degree to which an outcome depends on a response; stronger contingency strengthens learning
Goal-directed behavior
Behavior controlled by knowledge of the R-O relationship and outcome value; decreases after devaluation
Habitual behavior
Behavior controlled by stimulus-response (S-R) associations, not outcome value; persists after devaluation
Outcome devaluation test
Train R-O → devalue outcome → test responding to determine if behavior is goal-directed or habitual
Ratio schedule
Reinforcement depends on number of responses; strong R-O contingency produces high response rates
Interval schedule
Reinforcement depends on time since last reinforcement; weaker R-O contingency produces lower, steady response rates
Ratio feedback function
Response rate increases continuously with reinforcement
Interval feedback function
Response rate reaches an asymptote
Feedback function
Relationship between rate of responding and rate of reinforcement under a schedule
Concurrent schedules
Multiple response options available simultaneously, each with its own reinforcement schedule
Matching law
When effort and switching costs are equal, response ratio matches reinforcement ratio across options
Generalized matching law
Accounts for bias, effort, and switching difficulty when matching law assumptions are violated
Concurrent-chain schedules
Initial choice locks organism into a specific reinforcement schedule for the trial
Drive-reduction theory
Reinforcement reduces biological drives (limited explanatory power)
Problem with drive-reduction theory
Learning can occur without drive reduction (e.g., saccharin consumption)
Premack principle
A more probable behavior reinforces a less probable behavior by providing access to it
Problem with Premack principle
Difficult to quantify behavior probabilities; not always predictive
Response deprivation theory
A behavior becomes reinforcing when access to it is restricted below its baseline level
Learned helplessness
Reduced responding after exposure to uncontrollable aversive events
Learned helplessness deficits
Motivational and associative deficits
Reducing learned helplessness
Behavioral therapy and prior controllable experience restore responding
Discriminative stimulus (S^D)
A cue signaling that a response will produce an outcome; in its absence, the response produces no outcome