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Entropy of RT Distributions and its Cognitive Implications| old_uid | 10319 |
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| title | Entropy of RT Distributions and its Cognitive Implications |
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| start_date | 2011/10/27 |
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| schedule | 11h30 |
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| online | no |
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| summary | I introduce a new macroscopic approach for the analysis of RT experiments. I provide theoretical and empirical arguments indicating that the entropy of RT distributions is an index of the amount of processing that has been performed by the cognitive system. The shape of the relation between the mean RT in different experimental condition and the entropy of the RT distribution that they elicit is then used as evidence for the presence of phase transitions. In particular I show that the predicted location of the phase transition in visual search experiments coincides with the precise point at which independent evidence for a transition between parallel and sequential processing mechanism has been found. Furthermore, in agreement with what one would predict from the presence of a physical critical point, I show that the sequences of RT exhibit long correlations (i.e., 1/f noise) only around the location of the hypothesized phase transition, and is absent elsewhere. |
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| responsibles | Béranger |
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