Stimulus control of anticipatory responding in instrumental learning as revealed in serial learning tasks

Animal Learning and Behavior

Volumn 29, Issue 2, 2001, Pages 165-175

  Capaldi, E J ^a   Miller, Ronald M ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL BEHAVIOR; ANIMAL EXPERIMENT; ARTICLE; ASSOCIATION; CONDITIONED REFLEX; CONTROLLED STUDY; INFORMATION SYSTEM; INSTRUMENTAL CONDITIONING; LEARNING; MALE; MEMORY; NONHUMAN; RAT; SIGNAL PROCESSING; STIMULUS RESPONSE; TASK PERFORMANCE; TRAINING;

ACRONICTA LEPORINA; ANIMALIA;

EID: 0035714185     PISSN: 00904996     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03192825     Document Type: Article

References (18)

1. Attenuation of overshadowing as a function of nondifferential compound conditioning trials
2. Ordinal position in the serial learning of rats
3. Position cues and reward memories as compatible components of serial learning
4. A sequential hypothesis of instrumental learning
5. Levels of organized behavior in rats
6. The sequential view: From rapidly fading stimulus traces to the organization of memory and the abstract concept of number
7. Is discriminative responding in reward outcomes serial learning mediated by item memories or by position cues?
8. Reward produced memories regulate memory-discrimination learning, extinction, and other forms of discrimination learning
9. Forming chunks in instrumental learning: The role of overshadowing
10. The rat's simultaneous anticipation of remote events and current events can be sustained by event memories alone
11. Serial learning, interitem associations, phrasing cues, interference, overshadowing, chunking, memory, and extinction
12. Knowledge of the ordinal position of list items in Rhesus monkeys
13. A "random-walk" simulation model for multiple-pattern learning in a radial-arm maze
14. An inquiry into the doctrine of remote associations
15. Ebbinghaus: Some associations
16. Temporal phrasing and overshadowing in rat serial-pattern learning