Individual Differences in Associative Learning, Intrinsic Connectivity and Neural Reactivity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Individual Differences in Associative Learning, Intrinsic Connectivity and Neural Reactivity write by Meghan Davis Caulfield. This book was released on 2014. Individual Differences in Associative Learning, Intrinsic Connectivity and Neural Reactivity available in PDF, EPUB and Kindle.
Functional Characteristics of Neural Networks in Human Associative Learning
Functional Characteristics of Neural Networks in Human Associative Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Functional Characteristics of Neural Networks in Human Associative Learning write by Zainab Fatima. This book was released on 2016. Functional Characteristics of Neural Networks in Human Associative Learning available in PDF, EPUB and Kindle. Learning and memory are highly complex and adaptive cognitive processes of the human brain. The present body of work examined functional characteristics of neural networks that supported associative learning in multiple dimensions (e.g. space, time, frequency) and related them to cognitive markers and behavioral performance. Research was conducted with magnetoencephalography (MEG). Given the multidimensional nature of MEG data, several methodological tools were developed concurrently to enable better identification of learning-induced changes in the brain. Study 1 systematically examined the impact of different artifacts on scalp signals. Combined with simulations, it was established that detection of deep/weak sources (e.g. medial temporal lobes, striatum etc.) was substantially improved by removing noise from artifacts. This work culminated in the development of an artifact correction tool that is freely available for reseach use. Study 2 used artifact-free data from Study 1 to examine relationships between time-dependent changes in functional network organization, cognitive skills and behavioral performance. Results showed that individual variations in learning were supported by differences in cognitive ability and time-sensitive connectivity in functional networks. This research has translational scope for customizing rehabilitative practices based on an individualâ s learner profile. Study 3 examined frequency-specific changes in functional network interactions and their implications for adaptive control of behavior during learning. First, an automated data-driven pipeline was developed to obtain distributed brain sources. Phase synchronization was used to measure changes in network interactions. Reorganization of functional networks was related to distinct behavior types â eye movements and error rate. Results highlighted a shift in theta frequencies from early to late periods of learning. Both behavioral measures were shaped by similar network configurations early in learning and dissociable functional networks late in learning. The direct comparison made between implicit and explicit behaviors in this study has practical implications for research in special populations (e.g. development, disease) whereby implicit measures may be the only option for evaluating integrity of brain function.
Working Memory Capacity
Working Memory Capacity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Working Memory Capacity write by Nelson Cowan. This book was released on 2016-04-14. Working Memory Capacity available in PDF, EPUB and Kindle. The idea of one's memory "filling up" is a humorous misconception of how memory in general is thought to work; it actually has no capacity limit. However, the idea of a "full brain" makes more sense with reference to working memory, which is the limited amount of information a person can hold temporarily in an especially accessible form for use in the completion of almost any challenging cognitive task. This groundbreaking book explains the evidence supporting Cowan's theoretical proposal about working memory capacity, and compares it to competing perspectives. Cognitive psychologists profoundly disagree on how working memory is limited: whether by the number of units that can be retained (and, if so, what kind of units and how many), the types of interfering material, the time that has elapsed, some combination of these mechanisms, or none of them. The book assesses these hypotheses and examines explanations of why capacity limits occur, including vivid biological, cognitive, and evolutionary accounts. The book concludes with a discussion of the practical importance of capacity limits in daily life. This 10th anniversary Classic Edition will continue to be accessible to a wide range of readers and serve as an invaluable reference for all memory researchers.
Associative Memory Cells: Basic Units of Memory Trace
Associative Memory Cells: Basic Units of Memory Trace - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Associative Memory Cells: Basic Units of Memory Trace write by Jin-Hui Wang. This book was released on 2019-09-10. Associative Memory Cells: Basic Units of Memory Trace available in PDF, EPUB and Kindle. This book focuses on associative memory cells and their working principles, which can be applied to associative memories and memory-relevant cognitions. Providing comprehensive diagrams, it presents the author's personal perspectives on pathology and therapeutic strategies for memory deficits in patients suffering from neurological diseases and psychiatric disorders. Associative learning is a common approach to acquire multiple associated signals, including knowledge, experiences and skills from natural environments or social interaction. The identification of the cellular and molecular mechanisms underlying associative memory is important in furthering our understanding of the principles of memory formation and memory-relevant behaviors as well as in developing therapeutic strategies that enhance memory capacity in healthy individuals and improve memory deficit in patients suffering from neurological disease and psychiatric disorders. Although a series of hypotheses about neural substrates for associative memory has been proposed, numerous questions still need to be addressed, especially the basic units and their working principle in engrams and circuits specific for various memory patterns. This book summarizes the developments concerning associative memory cells reported in current and past literature, providing a valuable overview of the field for neuroscientists, psychologists and students.
The Cambridge Handbook of Motivation and Learning
The Cambridge Handbook of Motivation and Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Cambridge Handbook of Motivation and Learning write by K. Ann Renninger. This book was released on 2019-02-14. The Cambridge Handbook of Motivation and Learning available in PDF, EPUB and Kindle. Written by leading researchers in educational and social psychology, learning science, and neuroscience, this edited volume is suitable for a wide-academic readership. It gives definitions of key terms related to motivation and learning alongside developed explanations of significant findings in the field. It also presents cohesive descriptions concerning how motivation relates to learning, and produces a novel and insightful combination of issues and findings from studies of motivation and/or learning across the authors' collective range of scientific fields. The authors provide a variety of perspectives on motivational constructs and their measurement, which can be used by multiple and distinct scientific communities, both basic and applied.
