Researchers at the Centre for Bioelectric Interfaces and the Centre for Cognition & Decision Making of the Higher School of Economics utilized electroencephalogram (EEG) and the event-related potential (ERP) technique to ...
Jan 18, 2019
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Your ability to recognize objects is remarkable. If you see a cup under unusual lighting or from unexpected directions, there's a good chance that your brain will still compute that it is a cup. Such precise object recognition ...
Apr 30, 2019
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A team of scientists has uncovered a system in the brain used in the processing of information and in the storing of memories—akin to how railroad switches control a train's destination. The findings offer new insights ...
Aug 3, 2021
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Neuroscientists and psychologists have been trying for decades to better understand how humans make decisions, in the hope to devise more effective interventions to promote healthy and beneficial lifestyle choices. Two brain ...
Biomedical engineers at Duke University have developed an automated process that can trace the shapes of active neurons as accurately as human researchers can, but in a fraction of the time.
Apr 12, 2019
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For Bradley Duchaine, there is definitely more than meets the eye where faces are concerned.
Feb 1, 2012
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Controlling the frequency of 'brain waves' could help to improve people's recall of memories and potentially provide a key to unlock conditions such as Alzheimer's disease, according to a new article.
Jun 6, 2019
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A group of Portuguese researchers from IBMC and FMUP at the University of Porto has found the reason why patients with chronic pain often suffer from impaired short –term memory. The study, to be published in the Journal ...
Feb 7, 2013
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A deep learning algorithm successfully detects periodontal disease from 2D bitewing radiographs, according to research presented at EuroPerio10, the world's leading congress in periodontology and implant dentistry organized ...
Jun 17, 2022
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In recent years, machine learning techniques have accelerated and innovated research in numerous fields, including neuroscience. By identifying patterns in experimental data, these models could for instance predict the neural ...
