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    188宝金博页面版: Prospective Optimization(预期优化)

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    内容提示： Prospective OptimizationTerrence J. Sejnowski [Fellow IEEE],Howard Hughes Medical Institute, Salk Institute for Biological Sciences, La Jolla, CA 92037 USAand the Division of Biological Studies, University of California at San Diego, La Jolla, CA 92093USA terry@salk.edu)Howard Poizner,Institute for Neural Computation, University of California at San Diego, La Jolla, CA 92093-0523USA (hpoizner@ucsd.edu)Gary Lynch,Department of Psychiatry and Human Behavior, University of California at Irvine, Irvine, CA9269...

    文档格式：PDF | 页数：26 | 浏览次数：9 | 上传日期：2020-10-11 10:52:34 | 文档星级：
    Prospective OptimizationTerrence J. Sejnowski [Fellow IEEE],Howard Hughes Medical Institute, Salk Institute for Biological Sciences, La Jolla, CA 92037 USAand the Division of Biological Studies, University of California at San Diego, La Jolla, CA 92093USA terry@salk.edu)Howard Poizner,Institute for Neural Computation, University of California at San Diego, La Jolla, CA 92093-0523USA (hpoizner@ucsd.edu)Gary Lynch,Department of Psychiatry and Human Behavior, University of California at Irvine, Irvine, CA92697-4292 USA (glynch@uci.edu)Sergei Gepshtein, andSystems Neurobiology Laboratories, Salk Institute for University of California at San Diego, LaJolla, CA 92037 USA (sergei@salk.edu)Ralph J. GreenspanKavli Institute for Brain and Mind, University of California at San Diego, La Jolla, CA 92093-0126USA (rgreenspan@ucsd.edu)AbstractHuman performance approaches that of an ideal observer and optimal actor in some perceptualand motor tasks. These optimal abilities depend on the capacity of the cerebral cortex to store animmense amount of information and to flexibly make rapid decisions. However, behavior onlyapproaches these limits after a long period of learning while the cerebral cortex interacts with thebasal ganglia, an ancient part of the vertebrate brain that is responsible for learning sequences ofactions directed toward achieving goals. Progress has been made in understanding the algorithmsused by the brain during reinforcement learning, which is an online approximation of dynamicprogramming. Humans also make plans that depend on past experience by simulating differentscenarios, which is called prospective optimization. The same brain structures in the cortex andbasal ganglia that are active online during optimal behavior are also active offline duringprospective optimization. The emergence of general principles and algorithms for goal-directedbehavior has consequences for the development of autonomous devices in engineeringapplications.© 2014 IEEE.This paper describes the idea that brains form cognitive strategies by prospective optimization, which is the planning of future actionsto optimize rewards.Published as: Proc IEEE Inst Electr Electron Eng. 2014 May ; 102(5): .HHMI Author Manuscript HHMI Author Manuscript HHMI Author Manuscript

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