The Myth of Cognitive Decline: Non-Linear Dynamics of Lifelong Learning

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Frequency in lexical processing (2016, background): “…of personal names increases as adults age (Hendriks, Englert, Wubs, & Hoeks, 2008), and this can be seen as compensatory strategy to help deal with the processing demands inevitably imposed by the entropy of personal names, which increases dramatically across the lifespan (Ramscar et al., 2014).”
Biases in Predicting the Human Language Model (2014, background): “Models of lexical decision and word naming included random intercepts of participant age to adjust for differences in mean RTs between old (mean age = 72) vs. young (mean age = 23) subjects, given differences between younger vs. older adults’ processing speed (cf. (Ramscar et al., 2014)).”
Dominance and Age in Bilingualism. (2014, result): “Aging populations, monolingual, and bilingual, are known to have depressed performance on cognitive measures when compared with younger populations (e.g. 35 Bialystok and Hakuta 1999: 171–3; Stine-Morrow and Shake 2009; see, how- ever, Ramscar et al. 2014).”