<p><b>Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach</b></p><p>Human memory modeling is important from two perspectives. First, the precise fitting of the model to an individual''s short-term or working memory may help in predicting memory performance of the subject in future. Second, memory models provide a biological insight to the encoding and recall mechanisms undertaken by the neurons present in active brain lobes, participating in the memorization process. This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means.</p><p><i>Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach</i> begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learni
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<p><b>Discover the latest developments in multi-robot coordination techniques with this insightful and original resource</b><p><i>Multi-Agent Coordination: A Reinforcement Learning Approach</i> delivers a comprehensive,...
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