scholarly journals Response rate and reinforcement rate in Pavlovian conditioning.

2011 ◽  
Vol 37 (4) ◽  
pp. 375-384 ◽  
Author(s):  
Justin A. Harris ◽  
Joanne S. Carpenter
Keyword(s):  
Pavlovian Conditioning ◽  
Response Rate ◽  
Reinforcement Rate

scholarly journals Cue duration determines response rate but not rate of acquisition of Pavlovian conditioning in mice

2020 ◽  
Vol 73 (11) ◽  
pp. 2026-2035
Author(s):  
Joseph M Austen ◽  
David J Sanderson
Keyword(s):  
Pavlovian Conditioning ◽  
Response Rate ◽  
Reinforcement Rate ◽  
Estimation Theory ◽  
Cumulative Exposure ◽  
Rate Estimation ◽  
Conditioning Rate ◽  
The Difference ◽  
Conditioned Responding ◽  
Associative Analysis

The duration of a conditioned stimulus (CS) is a key determinant of Pavlovian conditioning. Rate estimation theory (RET) proposes that reinforcement rate is calculated over cumulative exposure to a cue and the reinforcement rate of a cue, relative to the background reinforcement rate, determines the speed of acquisition of conditioned responding. Consequently, RET predicts that shorter-duration cues require fewer trials to acquisition than longer-duration cues due to the difference in reinforcement rates. We tested this prediction by reanalysing the results of a previously published experiment. Mice received appetitive Pavlovian conditioning of magazine approach behaviour with a 10-s CS and a 40-s CS. Cue duration did not affect the rate at which responding emerged or the rate at which it peaked. The 10-s CS did elicit higher levels of responding than the 40-s CS. These results are not consistent with rate estimation theory. Instead, they are consistent with an associative analysis that assumes that asymptotic levels of responding reflect the balance between increments and decrements in associative strength across cumulative exposure to a cue.

Relationship between reinforcement rate and response rate in Pavlovian and operant conditioning with compound stimuli in rats

2021 ◽  
pp. 104463
Author(s):  
Andeson Gonçalves Carneiro ◽  
Guilherme Paes ◽  
Miriam Garcia-Mijares
Keyword(s):  
Operant Conditioning ◽  
Response Rate ◽  
Reinforcement Rate ◽  
Compound Stimuli

Herrnstein's Equation: Data from 110 Rats

1993 ◽  
Vol 73 (3_suppl) ◽  
pp. 1355-1361 ◽  
Author(s):  
C. M. Bradshaw ◽  
E. Szabadi
Keyword(s):  
Normal Distribution ◽  
Response Rate ◽  
Variable Interval ◽  
Response Strength ◽  
Reinforcement Rate ◽  
Half Maximum ◽  
Wide Range ◽  
Hyperbolic Curve ◽  
Sucrose Reinforcement ◽  
Herrnstein's Equation

110 rats were trained under a series of variable-interval schedules of sucrose reinforcement (0.6 M, 50 μl), covering a wide range of scheduled interreinforcement intervals. Response and reinforcement rates recorded during the last five sessions of exposure to each schedule were used to fit Herrnstein's (1970) hyperbolic ‘response strength’ equation to the data from each rat The equation accounted for >80% of the data variance in 90%, and >90% of the variance in 60% of the sample. The distribution of the values of Rmax, the asymptote of the hyperbolic curve, did not depart significantly from normality. However, the distribution of the values of KH, the reinforcement rate needed to maintain the half-maximum response rate, was markedly skewed; logarithmically transformed values of KH conformed to a normal distribution. The data provide further support for the applicability of Herrnstein's equation to variable-interval performance; it is suggested that studies involving comparison of the parameters of the equation between groups of subjects should adopt logarithmic transformation of the values of KH.

scholarly journals RATS' PERFORMANCE ON VARIABLE-INTERVAL SCHEDULES WITH A LINEAR FEEDBACK LOOP BETWEEN RESPONSE RATE AND REINFORCEMENT RATE

2003 ◽  
Vol 79 (2) ◽  
pp. 157-173 ◽  
Author(s):  
Phil Reed ◽  
Tom Hildebrandt ◽  
Julie DeJongh ◽  
Mariane Soh
Keyword(s):  
Feedback Loop ◽  
Response Rate ◽  
Variable Interval ◽  
Reinforcement Rate ◽  
Linear Feedback

Behavioral momentum in Pavlovian conditioning and the learning/performance distinction

2004 ◽  
Vol 27 (5) ◽  
pp. 694-695 ◽  
Author(s):  
Hernán I. Savastano ◽  
Ralph R. Miller
Keyword(s):  
Pavlovian Conditioning ◽  
Associative Strength ◽  
Response Rate ◽  
Resistance To Change ◽  
Response Probability ◽  
Behavioral Momentum ◽  
Learning Performance ◽  
Operant Response ◽  
Behavioral Momentum Theory ◽  
Momentum Theory

Behavioral momentum theory has evolved within the realm of operant conditioning. The thought-provoking momentum metaphor equates the strength of an operant response with its resistance to change and preference (i.e., choice) for that response over other available responses. Whereas baseline response rate (velocity in the metaphor) is assumed to be largely influenced by the response-reinforcer contingency, resistance to change and preference are assumed to reflect an intervening variable called behavioral mass, which is determined primarily by the stimulus-reinforcer relationship. This invites the question of how well the momentum metaphor applies to the stimulus-reinforcer relationships of traditional Pavlovian paradigms. Presumably, a correspondence exists between behavioral mass and the notion of associative strength in the associative learning literature. Although response rate has little meaning in the trialwise structure of classical (i.e., Pavlovian) conditioning, response probability or magnitude might be regarded metaphorically as velocity. Momentum theory suggests that resistance to change (e.g., extinction) is a better indicator of associative strength than is response probability or magnitude. Therefore, variables that strengthen Pavlovian learning should influence resistance to extinction of conditioned responding in a similar manner. Moreover, it is important to assess momentum theory outside of strictly operant paradigms, particularly because in clinical settings many common disorders (e.g., phobias) and their therapies (e.g., cue exposure) are thought to be classically conditioned.

scholarly journals Pavlovian conditioning and cumulative reinforcement rate.

2015 ◽  
Vol 41 (2) ◽  
pp. 137-151 ◽  
Author(s):  
Justin A. Harris ◽  
Angela E. Patterson ◽  
Saba Gharaei
Keyword(s):  
Pavlovian Conditioning ◽  
Reinforcement Rate
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