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Selectively retrieving a subset of previously studied information can cause forgetting of related, nonretrieved information. Such retrieval-induced forgetting (RIF) has typically been attributed to inhibitory control processes. Examining participants with a mean age of about 70 years, previous work reported intact RIF in older adults, suggesting efficient inhibition in older adults' episodic memory. We replicated the prior work by finding reliable RIF in young-old participants (60–75 years), but additionally found RIF to decline with increasing age and to be inefficient in old-old participants (above 75 years). The results support the proposal of an inhibitory deficit in (very) old age.
Evolutionary psychologists propose that human cognition evolved through natural selection to solve adaptive problems related to survival and reproduction, with its ultimate function being the enhancement of reproductive fitness. Following this proposal and the evolutionary-developmental view that ancestral selection pressures operated not only on reproductive adults, but also on pre-reproductive children, the present study examined whether young children show superior memory for information that is processed in terms of its survival value. In two experiments, we found such survival processing to enhance retention in 4- to 10-year-old children, relative to various control conditions that also required deep, meaningful processing but were not related to survival. These results suggest that, already in very young children, survival processing is a special and extraordinarily effective form of memory encoding. The results support the functional-evolutionary proposal that young children’s memory is “tuned” to process and retain fitness-related information.
One aspect of voice and speech evaluation after laryngeal cancer is acoustic analysis. Perceptual evaluation by expert raters is a standard in the clinical environment for global criteria such as overall quality or intelligibility. So far, automatic approaches evaluate acoustic properties of pathologic voices based on voiced/unvoiced distinction and fundamental frequency analysis of sustained vowels. Because of the high amount of noisy components and the increasing aperiodicity of highly pathologic voices, a fully automatic analysis of fundamental frequency is difficult. We introduce a purely data-driven system for the acoustic analysis of pathologic voices based on recordings of a standard text.