20,075 research outputs found

    Hui tu zhen ben jing shi mu yu jin gang zuan

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    著作者余好辯, 伍憤時.Cover title.上下卷.On double leaves, East Asian binding.木魚歌文.zhu zuo zhe Yu Haobian, Wu Fenshi.Shang xia juan.Mu yu ge wen

    Bayesian Models of Attention

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    A number of recent theoretical models, based on Bayesian probability theory, have formalized the need of attentional selection to be shaped by computational desiderata (Dayan and Zemel 1999; Dayan and Yu 2002; Yu and Dayan 2005a, 2005b; Yu et al. 2009). Bayesian probability theory is a powerful and increasingly prevalent ideal observer (Green and Swets 1966) framework for understanding selective processing, as it provides a set of statistically optimal tools for the quantification and integration of imperfect information sources. It has been successfully applied to explain human and animal behaviour in a number of cognitive tasks, including perceptual inference (Grenander 1976-81; Bolle and Cooper 1984; Geman and Geman 1984; Marroquin et al. 1987; Szeliski 1989; Clark and Yuille 1990; Knill and Richards 1996), multi-modal sensory integration (Jacobs 1999; Ernst and Banks 2002; Battaglia et al. 2003; Dayan et al. 2000; Kording and Wolpert 2004; Shams et al. 2005; Kording et al. 2007a), reward learning (Behrens et al. 2007), and motor adaptation (Kording et al. 2007b). In the following, we will review recently proposed Bayesian models of attention for learning, covert spatial attention, and overt spatial attention. (PsycInfo Database Record (c) 2022 APA, all rights reserved

    Acetylcholine and norepinephrine in concert and opposition: a fresh look at spatial attention

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    A rich body of experimental data indicates that the neuromodulatory systems acetylcholine (ACh) and norepinephrine (NE) are crucially involved in a variety of cognitive tasks. However, there is little consensus on their independent and joint computational functions. We present a theory in which cortical ACh and NE report different aspects of uncertainty: ACh reports expected uncertainty, for instance coming from known variability or ignorance about the parameters of a task, and NE signals unexpected uncertainty, as when significant aspects of the task are unpredictably changed by the experimenter (Yu & Dayan, 2002). These different sorts of uncertainty should, according to statistical learning theories, interact in a specific way to control the integration of top-down and bottom-up information. Here, we apply these ideas to a new spatial attention task (Bentley, personal communication), which is an extension of the classical Posner Task to contextual cueing. In our model of the task, ACh and NE interact in a precisely specified and partly OPPONENT, partly SYNERGISTIC manner, as in examples of simulated pharmacological manipulations. The agreement between simulation results and existent data (Phillips et al, 2000) is remarkably good (Figure: a,b:data; c,d:model). The model makes specific, experimentally tractable predictions regarding trial-to-trial responses of the ACh and NE neurons, as well as certain psychophysical measures such as reaction time. If confirmed, these predictions could yield insights into the workings of these neuromodulatory systems, as well as a new perspective on spatial attention

    Yu Takeuchi

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    Yu Takeuchi is serving for JAXA since 2007 and currently working as Associate Senior Administrator at Management and Integration Department of Human Spaceflight Technology Directorate. He is also working as Researcher at the Institute of Space Law of Keio University. He received LL.M. degree from the Institute of Air and Space Law of McGill University in 2015. His main interest is in international space law inter alia the legal aspects of space traffic management and sustainable space development. He is a member of the Air Law Institute of Japan, Japanese Society of International Law, and the International Institute of Space Law (IISL). Main Works Published in English - “Toward the International Regime for Space Traffic Management -What to Fix the Current International Regulations-”, (November 5, 2014). Space Traffic Management Conference, Paper 23 (http://commons.erau.edu/stm/2014/wednesday/23). - “Regulatory Regime for Tomorrow’s Suborbital Space Flights: Point-to-point International Flights”, 56th Colloquium on the Law of Outer Space, 2013. - “Space Traffic Management as a Guiding Principle of the International Regime of Sustainable Space Activities,” 4 Journal of East Asia and International Law, 2011 - “Japanese Perspective on Legal Issues of Commercial Human Spaceflight” (co-author), 53rd Colloquium on the Law of Outer Space, 2011 - “Legal Points at Issue about NEO Threat Response and International Cooperation” (co-author), 28th International Symposium on Space Technology and Science, 2011 - “From Guideline to International Treaty for Rule of Law concerning Mitigation of Space Debris?” (co-author), 52nd Colloquium on the Law of Outer Space, 2010 Main Works Published in Japanese (title translated into English) - “What is Space Traffic Management”, Vol. 46, No.9, Journal of the Japanese Institute of International Business Law, 2018. - Soichiro Kozuka & Masahiko Sato eds., Introduction of Space Law for Entrepreneur (2nd. Ed.), Yuhikaku, 2018. (co-authored) -“Challenges to International Space Law for Managing Space Traffic”, 55 Kuho (Air Law), 2014. -“Legal Points as Issues of NEO Threat Response and International Cooperation” (co-author), 3 Spaceguard Research, Japan Spaceguard Association, 2011https://commons.erau.edu/stm-images/1121/thumbnail.jp

    Chao cai liao yong yu ya bo chang ju jiao: ge xiang yi xing hao sun cai liao yu ti du guang xue na mi bo dao guan

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    Kwok, Hui Kin = 超材料用於亞波長聚焦 : 各向異性耗損材料與梯度光學納米波導管 / 郭栩健.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 67-69).Abstracts also in Chinese.Title from PDF title page (viewed on 26, September, 2016).Kwok, Hui Kin = Chao cai liao yong yu ya bo chang ju jiao : ge xiang yi xing hao sun cai liao yu ti du guang xue na mi bo dao guan / Guo Xujian

    Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry

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    The ability to track the statistics of our surroundings is a key computational challenge. A prominent theory (Dayan & Yu, 2006) proposes that the brain monitors for 'unexpected uncertainty' - events which deviate substantially from model predictions, indicating model failure. Norepinephrine (NE) is thought to play a key role in this process by serving as an interrupt signal, initiating model-resetting. However, evidence is from paradigms where participants actively monitored stimulus statistics. To determine whether NE routinely reports the statistical structure of our surroundings, even when not behaviourally relevant, we used rapid tone-pip sequences that contained perceptually salient pattern-changes associated with abrupt structural violations vs. emergence of regular structure. Phasic pupil dilations (PDR) were monitored to assess NE. We reveal a remarkable specificity: When not behaviourally relevant, only abrupt structural violations evoked a PDR. The results demonstrate that NE tracks 'unexpected uncertainty' on rapid time scales relevant to sensory signals

    Yi ge zai Jianada wei qi si xing qi de Ying yu ke cheng de yu wen ji wen hua xue xi

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    Chan, Sin Yu.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 260-268).Abstracts also in Chinese; some appendixes in Chinese.Title from PDF title page (viewed on 11, November, 2016).Chan, Sin Yu

    Intractability of Optimal Multi-Robot Path Planning on Planar Graphs

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    We study the computational complexity of optimally solving multi-robot path planning problems on planar graphs. For four common time- and distance-based objectives, we show that the associated path optimization problems for multiple robots are all NP-complete, even when the underlying graph is planar. Establishing the computational intractability of optimal multi-robot path planning problems on planar graphs has important practical implications. In particular, our result suggests the preferred approach toward solving such problems, when the number of robots is large, is to augment the planar environment to reduce the sharing of paths among robots traveling in opposite directions on those paths. Indeed, such efficiency boosting structures, such as highways and elevated intersections, are ubiquitous in robotics and transportation applications.Peer reviewe

    Er tong shui mian jie lü: zheng chang can kao zhi, xiang guan yin su, dui jian kang de ying xiang, he gan yu gai shan

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    Yu, Xinting.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 188-207).Abstracts also in Chinese; appendixes in Chinese.Title from PDF title page (viewed on 14, September, 2016).Yu, Xinting

    Nan Song Shuzhou gong du yi jian zheng li yu yan jiu Zheng li yu yan jiu

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    Ben shu shi dui wo she yu 1990 nian chu ban de ying yin ben "Song ren yi jian" de zheng li yu yan jiu. Gai shu shi liao feng fu, she ji zheng zhi, jing ji, jun shi yi ji Song dai gong wen ge shi he shu yi, shi zhen gui de shi wu wen xian. "Song ren yi jian" fan ying le bu shao nan Song shi qi di fang guan fu ji gou she zhi he xing zheng guan li zhi du, bu chong le xu duo Song dai cai zheng, shui shou zheng ce de xin cai liao, bao liu le nan Song chu nian Jiang Huai di qu zhan bei zhuang kuang de xi jie cai liao, hai shi Song dai wen shu zhi du de zhong yao cai liao, you zhu yu Song shi yan jiu de shen ru. Zheng li ben yan jin gui fan, ge shi ming xi, ji ben huan yuan le Song jian tu ban de ben lai mian mao, ju you jiao qiang de can kao jia zh
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