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RISS 인기검색어
- 검색키워드
- 저자 : Nieuwenhuizen, Frank M. (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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The MPI CyberMotion Simulator: A Novel Research Platform to Investigate Human Control Behavior
Nieuwenhuizen, Frank M.,Bulthoff, Heinrich H. Korean Institute of Information Scientists and Eng 2013 Journal of Computing Science and Engineering Vol.7 No.2
The MPI CyberMotion Simulator provides a unique motion platform, as it features an anthropomorphic robot with a large workspace, combined with an actuated cabin and a linear track for lateral movement. This paper introduces the simulator as a tool for studying human perception, and compares its characteristics to conventional Stewart platforms. Furthermore, an experimental evaluation is presented in which multimodal human control behavior is studied by identifying the visual and vestibular responses of participants in a roll-lateral helicopter hover task. The results show that the simulator motion allows participants to increase tracking performance by changing their control strategy, shifting from reliance on visual error perception to reliance on simulator motion cues. The MPI CyberMotion Simulator has proven to be a state-of-the-art motion simulator for psychophysical research to study humans with various experimental paradigms, ranging from passive perception experiments to active control tasks, such as driving a car or flying a helicopter.
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Frank M. Nieuwenhuizen,Heinrich H. Bulthoff 한국정보과학회 2013 Journal of Computing Science and Engineering Vol.7 No.2
The MPI CyberMotion Simulator provides a unique motion platform, as it features an anthropomorphic robot with a large workspace, combined with an actuated cabin and a linear track for lateral movement. This paper introduces the simulator as a tool for studying human perception, and compares its characteristics to conventional Stewart platforms. Furthermore, an experimental evaluation is presented in which multimodal human control behavior is studied by identifying the visual and vestibular responses of participants in a roll-lateral helicopter hover task. The results show that the simulator motion allows participants to increase tracking performance by changing their control strategy, shifting from reliance on visual error perception to reliance on simulator motion cues. The MPI CyberMotion Simulator has proven to be a state-of-the-art motion simulator for psychophysical research to study humans with various experimental paradigms, ranging from passive perception experiments to active control tasks, such as driving a car or flying a helicopter.
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Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses
Olivari, Mario,Nieuwenhuizen, Frank M.,Venrooij, Joost,Bulthoff, Heinrich H.,Pollini, Lorenzo IEEE 2015 IEEE transactions on cybernetics Vol.45 No.12
<P>In this paper, identification methods are proposed to estimate the neuromuscular and visual responses of a multiloop pilot model. A conventional and widely used technique for simultaneous identification of the neuromuscular and visual systems makes use of cross-spectral density estimates. This paper shows that this technique requires a specific noninterference hypothesis, often implicitly assumed, that may be difficult to meet during actual experimental designs. A mathematical justification of the necessity of the noninterference hypothesis is given. Furthermore, two methods are proposed that do not have the same limitations. The first method is based on autoregressive models with exogenous inputs, whereas the second one combines cross-spectral estimators with interpolation in the frequency domain. The two identification methods are validated by offline simulations and contrasted to the classic method. The results reveal that the classic method fails when the noninterference hypothesis is not fulfilled; on the contrary, the two proposed techniques give reliable estimates. Finally, the three identification methods are applied to experimental data from a closed-loop control task with pilots. The two proposed techniques give comparable estimates, different from those obtained by the classic method. The differences match those found with the simulations. Thus, the two identification methods provide a good alternative to the classic method and make it possible to simultaneously estimate human's neuromuscular and visual responses in cases where the classic method fails.</P>
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Spatiotemporal genomic architecture informs precision oncology in glioblastoma
Lee, Jin-Ku,Wang, Jiguang,Sa, Jason K,Ladewig, Erik,Lee, Hae-Ock,Lee, In-Hee,Kang, Hyun Ju,Rosenbloom, Daniel S,Camara, Pablo G,Liu, Zhaoqi,van Nieuwenhuizen, Patrick,Jung, Sang Won,Choi, Seung Won,Ki Nature Pub. Co 2017 Nature genetics Vol.49 No.4
<P>Precision medicine in cancer proposes that genomic characterization of tumors can inform personalized targeted therapies1-5. However, this proposition is complicated by spatial and temporal heterogeneity6-14. Here we study genomic and expression profiles across 127 multisector or longitudinal specimens from 52 individuals with glioblastoma (GBM). Using bulk and single-cell data, we find that samples from the same tumor mass share genomic and expression signatures, whereas geographically separated, multifocal tumors and/or long-term recurrent tumors are seeded from different clones. Chemical screening of patient-derived glioma cells (PDCs) shows that therapeutic response is associated with genetic similarity, and multifocal tumors that are enriched with PIK3CA mutations have a heterogeneous drug-response pattern. We show that targeting truncal events is more efficacious than targeting private events in reducing the tumor burden. In summary, this work demonstrates that evolutionary inference from integrated genomic analysis in multisector biopsies can inform targeted therapeutic interventions for patients with GBM.</P>
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