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    An Embodiment of Some Vertebrate Command and Control Principles

    Source: Journal of Fluids Engineering:;1969:;volume( 091 ):;issue: 002::page 295
    Author:
    W. K. Kilmer
    ,
    W. S. McCulloch
    ,
    J. Blum
    DOI: 10.1115/1.3571100
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Throughout the life of the vertebrates, the core of the central nervous system, the reticular formation, has retained the power to commit the whole animal to one mode of behavior rather than another. Its anatomy, or wiring diagram, is fairly well known, but to date no theory of its circuit action has been proposed that could possibly account for its known performance. Its basic structure is that of a string of similar modules, wide but shallow in computation everywhere, and connected not merely from module to adjacent module, but by long jumpers between distant modules. Analysis of its circuit actions heretofore proposed in terms of finite automata or coupled nonlinear oscillators has failed. We propose a set of nonlinear, probabilistic, hybrid computer concepts as guidelines for specifying the operational schemata of the foregoing modules. Using the smallest numbers and greatest simplifications possible, we arrive at a reticular formation model consisting of 12 anastomatically coupled modules stacked in columnar array. A simulation test of its behavior shows that despite its 800-line complexity, it still behaves as an integral unit, rolling over from stable mode to stable mode as directed by its succession of input 60-tuples.
    keyword(s): Simulation , String , Computers , Circuits , Computation , Electrical wires AND Nervous system ,
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      An Embodiment of Some Vertebrate Command and Control Principles

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/135012
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    • Journal of Fluids Engineering

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    contributor authorW. K. Kilmer
    contributor authorW. S. McCulloch
    contributor authorJ. Blum
    date accessioned2017-05-09T00:22:19Z
    date available2017-05-09T00:22:19Z
    date copyrightJune, 1969
    date issued1969
    identifier issn0098-2202
    identifier otherJFEGA4-27332#295_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135012
    description abstractThroughout the life of the vertebrates, the core of the central nervous system, the reticular formation, has retained the power to commit the whole animal to one mode of behavior rather than another. Its anatomy, or wiring diagram, is fairly well known, but to date no theory of its circuit action has been proposed that could possibly account for its known performance. Its basic structure is that of a string of similar modules, wide but shallow in computation everywhere, and connected not merely from module to adjacent module, but by long jumpers between distant modules. Analysis of its circuit actions heretofore proposed in terms of finite automata or coupled nonlinear oscillators has failed. We propose a set of nonlinear, probabilistic, hybrid computer concepts as guidelines for specifying the operational schemata of the foregoing modules. Using the smallest numbers and greatest simplifications possible, we arrive at a reticular formation model consisting of 12 anastomatically coupled modules stacked in columnar array. A simulation test of its behavior shows that despite its 800-line complexity, it still behaves as an integral unit, rolling over from stable mode to stable mode as directed by its succession of input 60-tuples.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Embodiment of Some Vertebrate Command and Control Principles
    typeJournal Paper
    journal volume91
    journal issue2
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.3571100
    journal fristpage295
    journal lastpage304
    identifier eissn1528-901X
    keywordsSimulation
    keywordsString
    keywordsComputers
    keywordsCircuits
    keywordsComputation
    keywordsElectrical wires AND Nervous system
    treeJournal of Fluids Engineering:;1969:;volume( 091 ):;issue: 002
    contenttypeFulltext
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