Cognitive modeling of human memory and learning : a non-invasive brain-computer interfacing approach / Lidia Ghosh, Artificial Intelligence Lab., Dept. of Electronics and Tele-Communication Engineering, Amit Konar, Artificial Intelligence Lab., Dept. of Electronics and Tele-Communication Engineering, Pratyusha Rakshit, Artificial Intelligence Lab., Dept. of Electronics and Tele-Communication Engineering.
By: Ghosh, Lidia [author.]
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Contributor(s): Konar, Amit [author.] | Rakshit, Pratyusha [author.].
Material type: 
BookPublisher: Hoboken, New Jersey : Wiley, [2020]Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119705918; 1119705916; 9781119705871; 1119705878; 9781119705925; 1119705924.Subject(s): Memory | Brain-computer interfaces | Cognitive neuroscience | PSYCHOLOGY / Cognitive Psychology & Cognition | Brain-computer interfaces | Cognitive neuroscience | MemoryGenre/Form: Electronic books.Additional physical formats: Print version:: Cognitive modeling of human memory and learningDDC classification: 153.1/20113 Online resources: Wiley Online Library Summary: "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. It 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 learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters"-- Provided by publisher.
Includes bibliographical references and index.
"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. It 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 learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters"-- Provided by publisher.
Description based on print version record and CIP data provided by publisher; resource not viewed.
John Wiley and Sons Wiley Frontlist Obook All English 2020
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