070222 Chapter 4

070222 Chapter 4 - 1 2/22 A. Theoretical models-both based...

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2/22 A. Theoretical models-- both based on "US surprisingness;" both explain negatively accelerated learning curve. 1) US-reduction model (Rescorla-Wagner) a. As US becomes progressively less surprising (is reduced in surprisingness) over trials, the amount of conditioning US can support is progressively reduced . b. The change or additional gain in associative strength possible on that trial also decreases. c. Conditioning begins on Trial 1. (US already there.) B. Rescorla-Wagner Computation V = k( λ - V A+B ) The main formula V = extent of conditioning; associative strength; V is on y-axis. "lambda" λ = maximum conditioning possible ; is horiz. line, parallel with x-axis, at top of learning curve. k (= α times β ) = a constant for given CS-US pairing: CS & US intensity. [in k, α =CS intensity; =US intensity. ] More intense CS or US produces faster and higher level of conditioning, or higher ; thus, k( ). "DELTA"

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This note was uploaded on 04/05/2008 for the course PSYCH 311 taught by Professor Rovee-collier during the Spring '06 term at Rutgers.

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070222 Chapter 4 - 1 2/22 A. Theoretical models-both based...

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