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  • 1
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    Soft microfluidic assemblies of sensors, circuits, and radios for the skin (2014)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2014-04-05
    Description: When mounted on the skin, modern sensors, circuits, radios, and power supply systems have the potential to provide clinical-quality health monitoring capabilities for continuous use, beyond the confines of traditional hospital or laboratory facilities. The most well-developed component technologies are, however, broadly available only in hard, planar formats. As a result, existing options in system design are unable to effectively accommodate integration with the soft, textured, curvilinear, and time-dynamic surfaces of the skin. Here, we describe experimental and theoretical approaches for using ideas in soft microfluidics, structured adhesive surfaces, and controlled mechanical buckling to achieve ultralow modulus, highly stretchable systems that incorporate assemblies of high-modulus, rigid, state-of-the-art functional elements. The outcome is a thin, conformable device technology that can softly laminate onto the surface of the skin to enable advanced, multifunctional operation for physiological monitoring in a wireless mode.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xu, Sheng -- Zhang, Yihui -- Jia, Lin -- Mathewson, Kyle E -- Jang, Kyung-In -- Kim, Jeonghyun -- Fu, Haoran -- Huang, Xian -- Chava, Pranav -- Wang, Renhan -- Bhole, Sanat -- Wang, Lizhe -- Na, Yoon Joo -- Guan, Yue -- Flavin, Matthew -- Han, Zheshen -- Huang, Yonggang -- Rogers, John A -- New York, N.Y. -- Science. 2014 Apr 4;344(6179):70-4. doi: 10.1126/science.1250169.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Materials Science and Engineering and Frederick Seitz Materials Research Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24700852" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Elasticity ; Electrocardiography/instrumentation/methods ; Electrocardiography, Ambulatory/instrumentation/methods ; Electroencephalography/instrumentation/methods ; Electromyography/instrumentation/methods ; Electrooculography ; Equipment Design ; Humans ; Male ; Microfluidics/*instrumentation ; Monitoring, Ambulatory/*instrumentation/methods ; Monitoring, Physiologic/*instrumentation/methods ; Remote Sensing Technology ; Silicone Elastomers ; *Skin ; Wireless Technology ; Young Adult
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning (2012)
    National Academy of Sciences
    Details
    Publication Date: 2012-01-18
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 3
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    Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning [Neuroscience] (2012)
    National Academy of Sciences
    Details
    Publication Date: 2012-02-01
    Description: Decision-making in the presence of other competitive intelligent agents is fundamental for social and economic behavior. Such decisions require agents to behave strategically, where in addition to learning about the rewards and punishments available in the environment, they also need to anticipate and respond to actions of others competing for the same rewards. However, whereas we know much about strategic learning at both theoretical and behavioral levels, we know relatively little about the underlying neural mechanisms. Here, we show using a multi-strategy competitive learning paradigm that strategic choices can be characterized by extending the reinforcement learning (RL) framework to incorporate agents’ beliefs about the actions of their opponents. Furthermore, using this characterization to generate putative internal values, we used model-based functional magnetic resonance imaging to investigate neural computations underlying strategic learning. We found that the distinct notions of prediction errors derived from our computational model are processed in a partially overlapping but distinct set of brain regions. Specifically, we found that the RL prediction error was correlated with activity in the ventral striatum. In contrast, activity in the ventral striatum, as well as the rostral anterior cingulate (rACC), was correlated with a previously uncharacterized belief-based prediction error. Furthermore, activity in rACC reflected individual differences in degree of engagement in belief learning. These results suggest a model of strategic behavior where learning arises from interaction of dissociable reinforcement and belief-based inputs.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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