2019
DOI: 10.1016/j.beproc.2019.103978
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Increased generalization in a peak procedure after delayed reinforcement

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Cited by 7 publications
(6 citation statements)
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References 26 publications
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“…First, there are time-accumulation models (e.g., Gallistel & Gibbon, 2000; Gibbon & Balsam, 1981), in which events are accumulated in a period of times (i.e., rates). Second, there are trial-based models (e.g., Rescorla & Wagner, 1972), which do not explicitly code the duration of events; this appears problematic given the often-reported relevance of temporal information as a learning factor in both humans and animals (e.g., Buriticá & Alcalá, 2019; Nasser & Delamater, 2016). However, a number of attempts to integrate timing into the classic trial-based models have been suggested (e.g., Delamater et al, 2014; Donahoe et al, 1993; Gershman, 2015; Ghirlanda et al, 2020; Luzardo et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…First, there are time-accumulation models (e.g., Gallistel & Gibbon, 2000; Gibbon & Balsam, 1981), in which events are accumulated in a period of times (i.e., rates). Second, there are trial-based models (e.g., Rescorla & Wagner, 1972), which do not explicitly code the duration of events; this appears problematic given the often-reported relevance of temporal information as a learning factor in both humans and animals (e.g., Buriticá & Alcalá, 2019; Nasser & Delamater, 2016). However, a number of attempts to integrate timing into the classic trial-based models have been suggested (e.g., Delamater et al, 2014; Donahoe et al, 1993; Gershman, 2015; Ghirlanda et al, 2020; Luzardo et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The user may want to process different arrays using this function and then append them by rows or by columns. A demo for both kinds of processing pipelines is provided on the GitHub repository of YEAB 2 , which uses the open dataset found in Alcalá and Buriticá (2021).…”
Section: Figurementioning
confidence: 99%
“…Using the same open dataset in Alcalá and Buriticá (2021), we benchmarked the optimized implementation and found that it is between 7x to 60x faster (depending on the number of datapoints) than the exhaustive search (see Figure 4). However, we provide both implementations in YEAB.…”
Section: Single-trials Analysis Of Fixed Interval and The Peak Proced...mentioning
confidence: 99%
See 1 more Smart Citation
“…First, there are time-accumulation models (e.g., Gallistel & Gibbon, 2000;Gibbon & Balsam, 1981), in which events are accumulated in a period of times (i.e., rates). Second, there are trial-based models (e.g., Rescorla & Wagner, 1972) which do not explicitly code the duration of events; this appears problematic given the often reported relevance of temporal information as a learning factor in both humans and animals (e.g., Buriticá & Alcalá, 2019;Nasser & Delamater, 2016). However, a number of attempts to integrate timing into the classic trial-based models have been suggested (e.g., Delamater, Desouza, Rivkin, & Derman, 2014;Donahoe, Burgos, & Palmer, 1993;Gershman, 2015;Ghirlanda, Lind, & Enquist, 2020;Luzardo, Alonso, & Mondragon, 2017).…”
Section: Probabilities Versus Ratesmentioning
confidence: 99%