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{ "item_title" : "The Memory System of the Brain", "item_author" : [" J. Z. Young "], "item_description" : "In The Memory System of the Brain, eminent neurobiologist J. Z. Young presents a bold model of the brain as an adaptive computer designed for the maintenance of life. Drawing on his Hitchcock Lectures delivered at Berkeley in 1964, Young weaves together insights from experimental work on the octopus, comparative anatomy, and emerging computer science to explain how nervous systems code, store, and retrieve information. He situates memory as a functional component of homeostasis, arguing that the capacity to select appropriate responses from a repertoire is the defining feature of brain organization. Young's analysis ranges from the cellular to the systemic: he describes nerve fibers as communication channels, synapses as computational units, and brain lobes as specialized processors that together generate memory records. Case studies of octopus learning experiments illuminate how representation, coding, and inhibition may constitute the neural basis of memory. By connecting neurobiology with cybernetics and evolutionary theory, The Memory System of the Brain offers both a historical snapshot of mid-twentieth-century neuroscience and a forward-looking framework that continues to inspire research into cognition, learning, and the origins of intelligence. This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1966.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/52/034/645/0520346459_b.jpg", "price_data" : { "retail_price" : "39.95", "online_price" : "39.95", "our_price" : "39.95", "club_price" : "39.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Memory System of the Brain|J. Z. Young

The Memory System of the Brain

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Overview

In The Memory System of the Brain, eminent neurobiologist J. Z. Young presents a bold model of the brain as an adaptive computer designed for the maintenance of life. Drawing on his Hitchcock Lectures delivered at Berkeley in 1964, Young weaves together insights from experimental work on the octopus, comparative anatomy, and emerging computer science to explain how nervous systems code, store, and retrieve information. He situates memory as a functional component of homeostasis, arguing that the capacity to select appropriate responses from a repertoire is the defining feature of brain organization. Young's analysis ranges from the cellular to the systemic: he describes nerve fibers as communication channels, synapses as computational units, and brain lobes as specialized processors that together generate memory records. Case studies of octopus learning experiments illuminate how representation, coding, and inhibition may constitute the neural basis of memory. By connecting neurobiology with cybernetics and evolutionary theory, The Memory System of the Brain offers both a historical snapshot of mid-twentieth-century neuroscience and a forward-looking framework that continues to inspire research into cognition, learning, and the origins of intelligence. This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1966.

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Details

  • ISBN-13: 9780520346451
  • ISBN-10: 0520346459
  • Publisher: University of California Press
  • Publish Date: August 2022
  • Dimensions: 8.5 x 5.5 x 0.32 inches
  • Shipping Weight: 0.4 pounds
  • Page Count: 136

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