首页|Radboud University Reports Findings in Machine Learning (Estimating person-specific neural correlates of mental rotation: A machine learning approach)
Radboud University Reports Findings in Machine Learning (Estimating person-specific neural correlates of mental rotation: A machine learning approach)
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Public Library Science
New research on Machine Learning is the subject of a report. According to news originating from Nijmegen, Netherlands, by NewsRx correspondents, research stated, “Using neurophysiological measures to model how the brain performs complex cognitive tasks such as mental rotation is a promising way towards precise predictions of behavioural responses. The mental rotation task requires objects to be mentally rotated in space.” Financial support for this research came from Fonds National de la Recherche Luxembourg. Our news journalists obtained a quote from the research from Radboud University, “It has been used to monitor progressive neurological disorders. Up until now, research on neural correlates of mental rotation have largely focused on group analyses yielding models with features common across individuals. Here, we propose an individually tailored machine learning approach to identify person-specific patterns of neural activity during mental rotation. We trained ridge regressions to predict the reaction time of correct responses in a mental rotation task using task-related, electroencephalographic (EEG) activity of the same person. When tested on independent data of the same person, the regression model predicted the reaction times significantly more accurately than when only the average reaction time was used for prediction (bootstrap mean difference of 0.02, 95% CI: 0.01-0.03, p<.001). When tested on another person's data, the predictions were significantly less accurate compared to within-person predictions. Further analyses revealed that considering person-specific reaction times and topographical activity patterns substantially improved a model's generalizability.”
NETL
NSTL
Public Library Science
