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Author: Amit Konar
Publisher: John Wiley & Sons
ISBN: 1119705916
Category : Psychology
Languages : en
Pages : 272
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Book Description
Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach Human 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. Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach 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. Examines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS) Considers three classes of cognitive loads in the motor learning tasks for driving learners Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach 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.
Author: Amit Konar
Publisher: John Wiley & Sons
ISBN: 1119705916
Category : Psychology
Languages : en
Pages : 272
Get Book Here
Book Description
Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach Human 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. Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach 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. Examines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS) Considers three classes of cognitive loads in the motor learning tasks for driving learners Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach 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.
Author: Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations
Publisher: National Academies Press
ISBN: 0309523893
Category : Business & Economics
Languages : en
Pages : 433
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Book Description
Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.
Author: Donald A. Norman
Publisher: Elsevier
ISBN: 1483258203
Category : Science
Languages : en
Pages : 556
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Book Description
Models of Human Memory provides an overview of the state of knowledge on human memory models. The book begins with an introductory chapter on the basic stages of the memory system and the historical roots of memory models. The remaining chapters are organized into five parts. Part I on memory systems covers topics such as a system for perception and memory; multi-trace strength theory of memory; and a model for postperceptual verbal memory that postulates a single memory store, with multiple copies, called replicas, created in memory by rehearsal processes. Part II presents studies phoneme storage and word recognition. Part III on memory for associations examines the storage-retrieval theory for the memorizing processes and presents simple model of short-term memory (STM) for paired associates. Part IV on storage and retrieval mechanisms deals with mechanisms of repetition and rehearsal in short-term memory; models of recall and recognition; and memory search models. Part V presents a theory of human long-term associative memory; and examines conceptual and methodological interactions between information-processing investigations of cognitive activity and attempts to build models of memory.
Author: Thad A. Polk
Publisher: MIT Press
ISBN: 9780262661164
Category : Psychology
Languages : en
Pages : 1300
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Book Description
A comprehensive introduction to the computational modeling of human cognition.
Author: Martin A. Conway
Publisher: MIT Press
ISBN: 9780262531481
Category : Mathematics
Languages : en
Pages : 390
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Book Description
The chapters of this volume evaluate models of the short-term retention of knowledge, conceptual knowledge, autobiographical knowledge, transitory mental representations, the neurobiological basis of memory, and age-related changes in human memory.
Author: J G W Raaijmakers
Publisher: Psychology Press
ISBN: 1134629257
Category : Psychology
Languages : en
Pages : 302
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Book Description
The work of Richard M. Shiffrin has highly impacted the field of cognitive science, and current developments within perception and memory have been influenced by his ideas. In this volume, several key figures in the field will comment on these developments and put them in a wider perspective. Although many theories and models have been presented in recent years for various aspects of human cognition, there have not been many comparative evaluations that focus on how these models have really advanced our understanding of the underlying mechanisms. This volume will be a valuable source of information for both cognitive scientists working in the field, and researchers and students looking for a clear, accessible presentation of the key problems in cognitive science. Highlighted sections include attention and perception, memory functions and processes, knowledge representation and semantics, modelling approaches and applications.
Author: Keith Frankish
Publisher: Cambridge University Press
ISBN: 0521691907
Category : Philosophy
Languages : en
Pages : 349
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Book Description
An authoritative, up-to-date survey of the state of the art in cognitive science, written for non-specialists.
Author: Birte U. Forstmann
Publisher: Springer Nature
ISBN: 3031452712
Category :
Languages : en
Pages : 384
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Book Description
Author: Alan D. Baddeley
Publisher: Psychology Press
ISBN: 9780863774317
Category : Psychology
Languages : en
Pages : 496
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Book Description
The models of how human memory works and developments in our understanding of the subject are explained and examined in this textbook for students and professionals. The author has tried to keep the style accessible for the general reader too
Author: Chizuko Izawa
Publisher: Psychology Press
ISBN: 1135678731
Category : Psychology
Languages : en
Pages : 318
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Book Description
The model of human memory proposed in 1968 by Atkinson and Shiffrin has the distinction of having revolutionized information-processing theory. It catapulated a whole generation of cognitive psychologists into sustained research programs that continue to be productive year after year. The book's notable authors analyze and deliberate on the model's monumental scientific contributions to human learning and memory. They also challenge it and delve into its likely future evolution and impact on learning and memory. The volume was published in celebration of the 30th anniversary of the Atkinson-Shiffrin model and sets forth a provocative future for memory workers and learning theorists.
