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- Дата: 13-12-2021, 12:22
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Автор: Lidia Ghosh, Amit Konar
Издательство: Wiley-IEEE Press
Год: 2021
Страниц: 266
Язык: английский
Формат: pdf (true), epub
Размер: 16.2 MB
Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach. Computational Intelligence (CI) is the rubric of a number of intelligent tools and techniques that synergistically complement each other's performance and thus jointly may serve as a complete approach to handle complex real‐world problems. The memory encoding and recall processes and signal transduction across distributed modules of memory is primary controlled by the human nervous system. This can be taken up by artificial neural networks and Deep Learning models of CI. Although there are traces of Deep Learning techniques in EEG time‐series data analysis, there is hardly any work on EEG‐induced human memory response analysis in face recognition tasks using Deep Learning. The present work makes an attempt to fill this void. Among the well‐known deep learning algorithms, convolutional neural network (CNN), recurrent neural network (RNN), and LSTM network have shown promising results in sequential data processing of different applications, concerning speech, image, video, and natural languages.