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Artificial neural networks reveal individual differences in metacognitive monitoring of memory.

ABSTRACT: Previous work supports an age-specific impairment for recognition memory of pairs of words and other stimuli. The present study tested the generalization of an associative deficit across word, name, and nonword stimulus types in younger and older adults. Participants completed associative and item memory tests in one of three stimulus conditions and made metacognitive ratings of perceptions of self-efficacy, task success ("postdictions"), strategy success, task effort, difficulty, fatigue, and stamina. Surprisingly, no support was found for an age-related associative deficit on any of the stimulus types. We analyzed our data further using a multilayer perceptron artificial neural network. The network was trained to classify individuals as younger or older and its hidden unit activities were examined to identify data patterns that distinguished younger from older participants. Analysis of hidden unit activities revealed that the network was able to correctly classify by identifying three different clusters of participants, with two qualitatively different groups of older individuals. One cluster of older individuals found the tasks to be relatively easy, they believed they had performed well, and their beliefs were accurate. The other cluster of older individuals found the tasks to be difficult, believed they were performing relatively poorly, yet their beliefs did not map accurately onto their performance. Crucially, data from the associative task were more useful for neural networks to discriminate between younger and older adults than data from the item task. This work underscores the importance of considering both individual and age differences as well as metacognitive responses in the context of associative memory paradigms.

SUBMITTER: Zakrzewski AC

PROVIDER: S-EPMC6668824 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Providing eyewitness testimony involves monitoring one's memory to provide a detailed and accurate account: reporting details likely to be accurate and withholding potentially inaccurate details. Autistic individuals reportedly experience difficulties in both retrieving episodic memories and monitoring their accuracy, which has important implications for eyewitness testimony. Thirty autistic and 33 IQ-matched typically developing (TD) participants viewed a video of a mock bank robbery followed by three phases of questions (with judgments of confidence). In Phase 1, participants freely generated the granularity of their responses (i.e., fine- or coarse-grained). In Phase 2, participants answered the same questions but provided both a fine- and a coarse-grained answer. In Phase 3, participants were instructed to maximize accuracy over informativeness by selecting one of their Phase 2 answers as their final answer. They either received the questions socially (from the experimenter) or answered them online. There were no group differences in accuracy or metacognitive monitoring, with both autistic and TD witnesses demonstrating: (a) a strong preference for reporting fine-grained details at the expense of accuracy; (b) improved though still suboptimal grain size reporting when instructed to maximize accuracy over informativeness; (c) effective accuracy monitoring; and (d) higher overall accuracy when questions were delivered socially. There was, however, a subtle difference in metacognitive control, with autistic witnesses performing more poorly than TD witnesses when questions were delivered socially, but not when they were delivered online. These findings contrast with evidence suggesting that autism is marked by impairments in episodic memory and metacognitive monitoring and control. Autism Res 2020, 13: 2017-2029. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc. LAY SUMMARY: Autistic people have been reported to experience subtle difficulties in monitoring and regulating their information reporting, which has important implications for providing eyewitness testimony. We found that autistic witnesses' testimony comprised a similar level of detail and accuracy as non-autistic witnesses' accounts. However, autistic people found it difficult to optimize their testimony when the questions were delivered socially-but not when they answered the questions online. © 2020 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals, Inc.

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Artificial neural networks reveal individual differences in metacognitive monitoring of memory.

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