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  • 1
    Online Resource
    Online Resource
    Japan Society of Mechanical Engineers ; 2008
    In:  The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) Vol. 2008, No. 0 ( 2008), p. _1A1-E01_1-_1A1-E01_4
    In: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), Japan Society of Mechanical Engineers, Vol. 2008, No. 0 ( 2008), p. _1A1-E01_1-_1A1-E01_4
    Type of Medium: Online Resource
    ISSN: 2424-3124
    Uniform Title: 1A1-E01 交互三点支持歩行を生成する数理モデルの構築 : 3Dナナフシモデルの開発とその挙動解析(脚移動ロボット)
    Language: English , Japanese
    Publisher: Japan Society of Mechanical Engineers
    Publication Date: 2008
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Proceedings of the National Academy of Sciences ; 2009
    In:  Proceedings of the National Academy of Sciences Vol. 106, No. 49 ( 2009-12-08), p. 20930-20935
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 106, No. 49 ( 2009-12-08), p. 20930-20935
    Abstract: It is generally accepted that young worker bees ( Apis mellifera L.) are highly attracted to queen mandibular pheromone (QMP). Our results challenge this widely held view. We have found that unless young workers are exposed to QMP early in adult life, they, like foragers, avoid contact with this pheromone. Our data indicate that responses to QMP are regulated peripherally, at the level of the antennal sensory neurons, and that a window of opportunity exists in which QMP can alter a young bee's response to this critically important pheromone. Exposing young bees to QMP from the time of adult emergence reduces expression in the antennae of the D1-like dopamine receptor gene, Amdop1 . Levels of Amdop3 transcript, on the other hand, and of the octopamine receptor gene Amoa1 , are significantly higher in the antennae of bees strongly attracted to QMP than in bees showing no attraction to this pheromone. A decline in QMP attraction with age is accompanied by a fall in expression in worker antennae of the D2-like dopamine receptor, Am DOP3, a receptor that is selectively activated by QMP. Taken together, our findings suggest that QMP's actions peripherally not only suppress avoidance behavior, but also enhance attraction to QMP, thereby facilitating attendance of the queen.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
    RVK:
    RVK:
    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2009
    detail.hit.zdb_id: 209104-5
    detail.hit.zdb_id: 1461794-8
    SSG: 11
    SSG: 12
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2005
    In:  Complexity Vol. 10, No. 3 ( 2005-01), p. 56-65
    In: Complexity, Wiley, Vol. 10, No. 3 ( 2005-01), p. 56-65
    Abstract: Vertebrates are mostly large, agile creatures that can move rapidly and efficiently despite the significant inertial and interaction forces that are generated when they move. Vertebrates appear in the fossil record in the lower Cambrian, when predation began to apply selection pressure for increased size and, consequently, increased inertia. Agility depends critically upon the cerebellum, a brain structure that appears to have evolved as an elaboration of the vestibular and lateral‐line sensory processing regions in brains of aquatic ancestors. There is compelling evidence to suggest that the specific role of the cerebellum in motor control (etc) is state estimation. Analysis of responses of vestibular neurons in bullfrogs shows that these neurons have fractional‐order dynamics. Because of this property, the vestibular nerve forms a map of the state space of the animal's head, and individual action potentials can be regarded as assertions about the location of the head in that space. This view of vestibular coding suggests an analogy with particle filters, a new simulation‐based method for state estimation. In a particle filter the distribution of possible states consistent with observations is represented by a cloud of “particles” in a map of the state space. By regarding action potentials as particles in neural state estimators, we may develop a realistic model of neural computation in the cerebellum. At the same time—and independently of the biological verisimilitude of such a cerebellar model—we may develop useful new algorithms for state estimation. © 2005 Wiley Periodicals, Inc. Complexity 10: 56–65, 2005
    Type of Medium: Online Resource
    ISSN: 1076-2787 , 1099-0526
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2005
    detail.hit.zdb_id: 2004607-8
    SSG: 11
    Location Call Number Limitation Availability
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