A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
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Mapping causality in neuronal activity: New method uses spike train data to identify connections
It proved effective even in the presence of weak coupling with internal noise, a common feature of biological systems. By providing a new tool for inferring neural connectivity from spike train data, ...
In a recent study, a research team led by Assistant Professor Kazuya Sawada from the Department of Information and Computer Technology, Faculty of Engineering at Tokyo University of Science (TUS), ...
Group photo of the HKUST research team, including Prof. WANG Yiwen, Associate Professor (first row, right); Dr. WU Shenghui (first row, center), Research Assistant Professor, from the Department of ...
Picking up a cup of coffee, flipping a light switch or grabbing a door handle don't require much apparent thought. But behind ...
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
A team of scientists has unveiled how the hippocampus orchestrates multiple memory processes, including encoding new information, forming memories, and retrieving them. A team of scientists from the ...
(Nanowerk Spotlight) Effectively mimicking the unmatched visual capacities of the human brain while operating within stringent energy constraints poses a formidable challenge for artificial ...
It's well established that babies in the womb hear and learn about speech, at least in the third trimester. For example, newborns have been shown to already prefer the voice of their mother, recognize ...
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