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Cognitive Memory

Human Memory | Machine Memory

Bernard Widrow, Edward P. Katz

PDF
ca. 160,49

Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

How does human memory work?  How does human pattern recognition work?  The book’s motivation is twofold, to add to knowledge in the field of neuroscience, and to design a highly simplified cognitive memory constructed using software and existing electronic components.  Readers are taken on an inspiring journey through the fundamentals of human memory, how it is constructed, and how it works in everyday life.  The book goes more in-depth into the human side of cognitive memory — how seeing, hearing, walking and speaking works.  Impairments in cognitive memory are also discussed.  Lastly, the book sheds light on how meaning is extracted from sensory inputs and from stored data. This book is not without controversy.  Neuroscientists accept the engrams (or memory traces) model that long-term memory is stored in the brain’s neural networks. The authors believe that long-term human memory is stored digitally, in the DNA of brain cells, and not in analog neural networks.  Further, the authors believe that innate knowledge of humans and animals is inherited, transmitted from parents to offspring at the moment of conception.  The single cell contains the innate knowledge in the DNA of its nucleus.   Memory is stored in DNA.  The brain’s neural networks are for access and retrieval of memory and not for actual storage.  This book offers a unique, inspiring reading to researchers and other readers interested in the science of memory.

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Memory Capacity, Aircraft Navigation, Sigmoid ADALINE, Motor control for Walking and Speaking, Autoassociative Neural Networks, Hubel and Wiesel’s cat, Cognitive Memory for Motor Control, Multilayer Backpropagation Algorithm, Pattern Retrieval from Dreams, Cognitive Memory for Seeing and Hearing, Cognitive Memory Design, Eric Kandel’s Aplysia experiments, Facial Recognition, Reinforcement Learning, Feature Detection, DNA and Memory, LMS Algorithm, Pattern Recognition, Content Addressable Memory, Prompting the Memory