{"product_id":"9781119705864","title":"Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach","description":"\u003ch3\u003eIEEE Press\u003c\/h3\u003e\u003ch1\u003eCognitive Modeling of Human Memory and Learning\u003c\/h1\u003e\u003ch2\u003eA Non-invasive Brain-Computer Interfacing Approach\u003c\/h2\u003e\u003ch3\u003eLidia Ghosh | Amit Konar | Pratyusha Rakshit\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003ePsychology \/ Cognitive Psychology \u0026amp; Cognition\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eProposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHuman 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eCognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExamines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models\u003c\/li\u003e \u003cli\u003eProposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS)\u003c\/li\u003e \u003cli\u003eConsiders three classes of cognitive loads in the motor learning tasks for driving learners\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eCognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach\u003c\/i\u003e will appeal to researchers in cognitive neuro-science and human\/brain-computer interfaces. It is also beneficial to graduate students of computer science\/electrical\/electronic engineering.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eLIDIA GHOSH, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is currently a post-doctoral research fellow on Brain Science and Memory Research, granted by Liverpool Hope University to Jadavpur University, India. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAMIT KONAR, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is currently a Professor in the dept. of Electronics and Tele-Communication Engineering (ETCE), Jadavpur University. He is an author of 15 books including a Wiley title: \u003ci\u003eEmotion Recognition-A Pattern Analysis Approach\u003c\/i\u003e. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePRATYUSHA RAKSHIT, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is an Assistant Professor of ETCE dept., Jadavpur University, India and is currently on lien to Basque Centre for Applied Mathematics, Bilbao, Spain. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e06 October 2020\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119705864\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e272\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310881271948,"sku":"9781119705864","price":130.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119705864.jpg?v=1780139616","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119705864","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}