{"product_id":"cognitive-modeling-of-human-memory-and-learning","title":"Cognitive Modeling of Human Memory and Learning","description":"\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\n\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\n\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\n\u003cli\u003eConsiders three classes of cognitive loads in the motor learning tasks for driving learners\u003c\/li\u003e\n\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","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54220730138968,"sku":"9781119705864","price":120.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119705864_041e1020-8752-4050-afea-aee3fd63f4d8.jpg?v=1778498133","url":"https:\/\/agendabookshop.com\/products\/cognitive-modeling-of-human-memory-and-learning","provider":"Agenda Bookshop","version":"1.0","type":"link"}