CAN SLEEP PROTECT MEMORIES FROM CATASTROPHIC FORGETTING?

Can sleep protect memories from catastrophic forgetting?

Continual learning remains an unsolved problem in artificial neural networks.The brain has evolved mechanisms to prevent catastrophic forgetting of old knowledge during new training.Building upon data suggesting the importance of sleep in learning and memory, we tested a hypothesis that sleep protects old memories from being forgotten after new lea

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Fault Diagnosis for Variable Frequency Drive-Fed Induction Motors Using Wavelet Packet Decomposition and Greedy-Gradient Max-Cut Learning

In this paper, a novel fault diagnosis method for variable frequency drive (VFD)-fed induction motors is proposed using Wavelet Packet Decomposition (WPD) and greedy-gradient max-cut (GGMC) learning algorithm.The proposed method is developed using experimental stator current data in the lab for two 0.25 HP induction motors fed by a VFD, subjected t

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Time discrimination and change detection could share a common brain network: findings of a task-based fMRI study

IntroductionOver the past few years, several studies have described the brain activation pattern related to both time discrimination (TD) and change detection processes.We Storage Cabinets hypothesize that both processes share a common brain network which may play a significant role in more complex cognitive processes.The main goal of this proof-of

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