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Gateway to Memory
This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental research on the hippocampus and learning. It emphasizes the function of brain structures as they give rise to behavior, rather than the molecular or neuronal details. It also emphasizes the process of modeling, rather than the mathematical details of the models themselves. The book is divided into two parts. The first part provides a tutorial introduction to topics in neuroscience, the psychology of learning and memory, and the theory of neural network models. The second part, the core of the book, reviews computatio...
Learning and Memory
Gluck, Mercado and Myers’ breakthrough first edition brought a long overdue modern perspective to the learning and memory textbook. It was the first book for the course developed from page one to account for the growing importance of neuroscience in the field, the first to compare brain studies and behavioral approaches in human and other animal species, and the first available in full-color throughout. Rigorously updated, with a convenient new modular format, Learning and Memory, Second Edition, is unmatched at showing students where the study of learning and memory is and where it is heading. Requiring no prerequisite coursework, it connects learning, memory, and neuroscience in a way that fits your classroom. To preview a chapter from Learning and Memory, Second Edition, visit here.
Learning and Memory
The new edition of this comprehensive textbook on learning and memory offers an engaging and enhanced pedagogy. Instructors can assign the chapters they want from four distinctive modules - introduction, learning, memory, and integrative topics. Each chapter addresses behavioural processes, then the underlying neuroscience, then relevant clinical perspectives. The book is further distinguished by its full-colour presentation and coverage that includes comparisons between studies of human and nonhuman brains, and extended coverage of animal learning. With its modular organization, consistent chapter structure, and contemporary perspective, this groundbreaking survey is ideal for courses on learning and memory, and is easily adaptable to courses that focus on either learning or memory.
Avoidance: From Basic Science to Psychopathology
Coping has a myriad of facets: knowledge concerning the circumstances of threats to emotional and physical well being, the ability to meet immediate needs to mitigate, the potential for recurrence, the ability to apply efforts and resources to manage recurrence, and the complex assessment of competing motivations and changing circumstances. Successful coping is measured in the efficiency of efforts in balance with the degree of threat and likelihood of future occurrence. As one means of coping, avoidance encompass thoughts and efforts toward prevention of future aversive experiences and events. Anxiety disorders exemplify an extreme bias toward avoidance. A diathesis learning model focuses research efforts on individual vulnerabilities to acquire and express avoidance, the neurobiology of avoidance learning and its attendant circuitry. A fundamental understanding of avoidance through a diathesis learning model offers will facilitate the development of effective treatment protocols in alleviating anxiety disorders.
Learning and Memory: From Brain to Behavior (International Edition)
Developments in neuroscience have changed the field of learning and memory significantly in the last ten years. This comprehensive introduction to learning and memory covers behavioural processes, brain systems, and clinical perspectives.
Statement of Disbursements of the House as Compiled by the Chief Administrative Officer from ...
Covers receipts and expenditures of appropriations and other funds.
From Deep Learning to Rational Machines
"This book provides a framework for thinking about foundational philosophical questions surrounding machine learning as an approach to artificial intelligence. Specifically, it links recent breakthroughs in deep learning to classical empiricist philosophy of mind. In recent assessments of deep learning's current capabilities and future potential, prominent scientists have cited historical figures from the perennial philosophical debate between nativism and empiricism, which primarily concerns the origins of abstract knowledge. These empiricists were generally faculty psychologists; that is, they argued that the active engagement of general psychological faculties-such as perception, memory, ...
List of Diplomatic and Consular Officers of the United States
List for March 7, 1844, is the list for September 10, 1842, amended in manuscript.
