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Institution

University of Tokyo

EducationTokyo, Japan
About: University of Tokyo is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 134564 authors who have published 337567 publications receiving 10178620 citations. The organization is also known as: Todai & Universitas Tociensis.
Topics: Population, Gene, Catalysis, Magnetic field, Galaxy


Papers
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Book ChapterDOI
01 Jan 2001
TL;DR: In this paper, a special class of coherent risk measures is defined and a characterization of it is given, where the probability space is defined as a probability space and the coherent risk measure is defined in terms of a probability vector.
Abstract: The idea of coherent risk measures has been introduced by Artzner, Delbaen, Eber and Heath [1] We think of a special class of coherent risk measures and give a characterization of it Let (Ω, ℱ, P) be a probability space We denote L ∞(Ω, ℱ, P) by L ∞ Following [1], we give the following definition

748 citations

Journal ArticleDOI
01 Dec 1994
TL;DR: A novel task instruction method for future intelligent robots that learns reusable task plans by watching a human perform assembly tasks is presented, which results in a hierarchical task plan describing the higher level structure of the task.
Abstract: A novel task instruction method for future intelligent robots is presented, In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall system is model based and integrated at the symbolic level. Temporal segmentation of a continuous task performance into meaningful units and identification of each operation is processed in real time by concurrent recognition processes under active attention control. Dependency among assembly operations in the recognized action sequence is analyzed, which results in a hierarchical task plan describing the higher level structure of the task. In another workspace with a different initial state, the system re-instantiates and executes the task plan to accomplish an equivalent goal. The effectiveness of our method is supported by experimental results with block assembly tasks. >

748 citations

Journal ArticleDOI
09 Jun 1994-Nature
TL;DR: The results argue against the suggested role of tau in axonal elongation but confirm that it is crucial in the stabilization and organization of axonal microtubules in a certain type of axon.
Abstract: The tau gene encodes a protein (Tau) that is a major neuronal microtubule-associated protein localized mostly in axons. It has microtubule-binding and tubulin-polymerizing activity in vitro and is thought to make short crossbridges between axonal microtubules. Further, tau-transfected non-neuronal cells extend long axon-like processes in which microtubule bundles resembling those in axons are formed. In contrast, tau antisense oligonucleotides selectively suppress axonal elongation in cultured neurons. Thus tau is thought to be essential for neuronal cell morphogenesis, especially axonal elongation and maintenance. To test this hypothesis, we used gene targeting to produce mice lacking the tau gene. We show that the nervous system of tau-deficient mice appears to be normal immunohistologically. Furthermore, axonal elongation is not affected in cultured neurons. But in some small-calibre axons, microtubule stability is decreased and microtubule organization is significantly changed. We observed an increase in microtubule-associated protein 1A which may compensate for the functions of tau in large-calibre axons. Our results argue against the suggested role of tau in axonal elongation but confirm that it is crucial in the stabilization and organization of axonal microtubules in a certain type of axon.

748 citations

Journal ArticleDOI
24 Apr 2008-Neuron
TL;DR: The acquisition of one's good reputation robustly activated reward-related brain areas, notably the striatum, and these overlapped with the areas activated by monetary rewards.

748 citations

Journal ArticleDOI
TL;DR: The results indicate that circadian transcriptional circuits are governed by two design principles: regulation of E/E′ boxes and RevErbA/ROR binding elements follows a repressor-precedes-activator pattern, resulting in delayed transcriptional activity, whereas regulation of DBP/E4BP4 binding elements following a repression-antiphasic-to-activators mechanism, which generates high-amplitude transcriptionalactivity.
Abstract: Mammalian circadian clocks consist of complexly integrated regulatory loops, making it difficult to elucidate them without both the accurate measurement of system dynamics and the comprehensive identification of network circuits. Toward a system-level understanding of this transcriptional circuitry, we identified clock-controlled elements on 16 clock and clock-controlled genes in a comprehensive surveillance of evolutionarily conserved cis elements and measurement of their transcriptional dynamics. Here we report the roles of E/E' boxes, DBP/E4BP4 binding elements and RevErbA/ROR binding elements in nine, seven and six genes, respectively. Our results indicate that circadian transcriptional circuits are governed by two design principles: regulation of E/E' boxes and RevErbA/ROR binding elements follows a repressor-precedes-activator pattern, resulting in delayed transcriptional activity, whereas regulation of DBP/E4BP4 binding elements follows a repressor-antiphasic-to-activator mechanism, which generates high-amplitude transcriptional activity. Our analysis further suggests that regulation of E/E' boxes is a topological vulnerability in mammalian circadian clocks, a concept that has been functionally verified using in vitro phenotype assay systems.

748 citations


Authors

Showing all 135252 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Donald P. Schneider2421622263641
George M. Whitesides2401739269833
Jing Wang1844046202769
Tadamitsu Kishimoto1811067130860
Yusuke Nakamura1792076160313
Dennis J. Selkoe177607145825
David L. Kaplan1771944146082
D. M. Strom1763167194314
Masayuki Yamamoto1711576123028
Krzysztof Matyjaszewski1691431128585
Yang Yang1642704144071
Qiang Zhang1611137100950
Kenji Kangawa1531117110059
Takashi Taniguchi1522141110658
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023354
20221,250
202112,943
202013,512
201912,656