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Cognitive Modeling of Human Memory and Learning: A Non-invasive Brain-computer Interfacing Approach

 

DESCRIPTION

(Wiley - IEEE) 

by Lidia Ghosh (Author), Amit Konar (Author), Pratyusha Rakshit (Author) 

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.

DETAILS:

Year: 2021
Pages: 266
Language: English
Format: PDF
Size: 10 MB
Publisher: Wiley
ISBN-10: 111970586X
ISBN-13: 978-1119705864
Tag: Cognitive Modeling of Human Memory and Learning: A Non-invasive Brain-computer Interfacing Approach