Mechanisms of Memory. Edition No. 2

  • ID: 1767977
  • Book
  • 362 Pages
  • Elsevier Science and Technology
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This fully revised second edition provides the only unified synthesis of available information concerning the mechanisms of higher-order memory formation. It spans the range from learning theory, to human and animal behavioral learning models, to cellular physiology and biochemistry. It is unique in its incorporation of chapters on memory disorders, tying in these clinically important syndromes with the basic science of synaptic plasticity and memory mechanisms. It also covers cutting-edge approaches such as the use of genetically engineered animals in studies of memory and memory diseases. Written in an engaging and easily readable style and extensively illustrated with many new, full-color figures to help explain key concepts, this book demystifies the complexities of memory and deepens the reader's understanding.

  • More than 25% new content, particularly expanding the scope to include new findings in translational research.
  • Unique in its depth of coverage of molecular and cellular mechanisms
  • Extensive cross-referencing to Comprehensive Learning and Memory
  • Discusses clinically relevant memory disorders in the context of modern molecular research and includes numerous practical examples

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1. Introduction
the basics of psychological learning and memory theory 2. Studies of human learning and memory 3. Non-associative learning and memory 4. Rodent behavioral learning and memory models 5. Associative learning and unlearning 6. Hippocampal Function in Cognition 7. Long-term Potentiation: A Candidate Cellular Mechanism for Information Storage in the CNS 8. The NMDA Receptor 9. Biochemical mechanisms for information storage at the cellular level 10. Molecular genetic mechanisms for long-term information storage at the cellular level 11. Inherited disorders of human memory
mental retardation syndromes 12. Aging-related memory disorders
Alzheimer's Disease APPENDIX. The Basics of Experimental Design

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Sweatt, J. David
David Sweatt received a PhD in Pharmacology from Vanderbilt University for studies of intracellular signaling mechanisms. He then did a post-doctoral Fellowship at the Columbia University Center for Neurobiology and Behavior, working on memory mechanisms in the laboratory of Nobel laureate Eric Kandel. From 1989 to 2006 he was a member of the Neuroscience faculty at Baylor College of Medicine in Houston, Texas, rising through the ranks there to Professor and Director of the Neuroscience PhD program. In 2006 he moved to the University of Alabama at Birmingham where he served for ten years as the Evelyn F. McKnight endowed Chairman of the Department of Neurobiology at UAB Medical School, and the Director of the Evelyn F. McKnight Brain Institute at UAB. Dr. Sweatt's laboratory studies biochemical mechanisms of learning and memory, most recently focusing on the role of epigenetic mechanisms in memory formation. In addition, his research program also investigates mechanisms of learning and memory disorders, such as intellectual disabilities, Alzheimer's Disease, and aging-related memory dysfunction. He is currently the Allan D. Bass endowed Chairman of the Department of Pharmacology at Vanderbilt University Medical School, and has expanded his research program to include developing PharmacoEpigenetic approaches to enable new treatments for cognitive dysfunction. Dr. Sweatt has won numerous awards and honors, including an Ellison Medical Foundation Senior Scholar Award and election as a Fellow of the American Association for the Advancement of Science. In 2013 he won the Ipsen Foundation International Prize in Neural Plasticity, one of the most prestigious awards in his scientific field. In 2014 he was the recipient of the PROSE Award for the most outstanding reference volume published in 2013, for his book Epigenetic Mechanisms in the Nervous System. The book was also one of five finalists for the 2014 Dawkins Award for the most outstanding academic book published in 2013. In 2014, 2015, 2016, and 2017 Thomson-Reuters named him as a "Highly Cited Researcher” and as one of the "World's Most Influential Scientific Minds.”
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