2023
DOI: 10.1007/s11525-023-09411-w
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Syntagmatic paradigms: learning correspondence from contiguity

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Cited by 3 publications
(2 citation statements)
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“…In order to test if controlling for the salience of [i > tS] in edl simulations would predict the asymmetry between conditions, we reran the simulations, controlling for perceptual salience. We did this using a modified version of the Rescorla-Wagner function from Smolek and Kapatsinski (2023). This function allowed us to adjust the α-parameter for each bigram cue beforehand (see Eq.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to test if controlling for the salience of [i > tS] in edl simulations would predict the asymmetry between conditions, we reran the simulations, controlling for perceptual salience. We did this using a modified version of the Rescorla-Wagner function from Smolek and Kapatsinski (2023). This function allowed us to adjust the α-parameter for each bigram cue beforehand (see Eq.…”
Section: Discussionmentioning
confidence: 99%
“…Differences in cue salience, for example, may affect the speed of learning, as association weights for more salient cues develop faster (Kapatsinski, 2023b;Miller, Barnet, & Grahame, 1995). Salience itself is also influenced by temporal order as temporally closer cues may also be more salient (Smolek & Kapatsinski, 2023). While such effects can be accounted for by adjusting the learning rate per cue, other salience effects are harder to deal with.…”
Section: Asymmetry Due To Salience Differencesmentioning
confidence: 99%