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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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Heisenberg scaling with weak measurement: a quantum state discrimination point of view

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Quantum Studies: Mathematics and Foundations 2015年第1期2卷 5-15页

作者： Jordan, Andrew N. Tollaksen, Jeff Troupe, James E. Dressel, Justin Aharonov, Yakir Center for Coherence and Quantum Optics Department of Physics and Astronomy University of Rochester Rochester 14627 NY United States Institute for Quantum Studies Chapman University 1 University Drive Orange 92866 CA United States Schmid College for Science and Technology Chapman University 1 University Drive Orange 92866 CA United States Applied Research Laboratories The University of Texas at Austin P.O. Box 8029 Austin 78713-8029 TX United States Department of Electrical and Computer Engineering University of California Riverside 92521 CA United States School of Physics and Astronomy Tel Aviv University Tel Aviv Israel

We examine the results of the paper “Precision metrology using weak measurements” (Zhang et al. arXiv:1310.5302, 2013) from a quantum state discrimination point of view. The Heisenberg scaling of the photon number for the precision of the interaction parameter between coherent light and a spin one-half particle (or pseudo-spin) has a simple interpretation in terms of the interaction rotating the quantum state to an orthogonal one. To achieve this scaling, the information must be extracted from the spin rather than from the coherent state of light, limiting the applications of the method to phenomena such as cross-phase modulation. We next investigate the effect of dephasing noise and show a rapid degradation of precision, in agreement with general results in the literature concerning Heisenberg scaling metrology. We also demonstrate that a von Neumann-type measurement interaction can display a similar effect with no system/meter entanglement. © 2015, Chapman University.

关键词： Quantum metrology State discrimination Weak value amplification

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Frontiers in Optics 2015, FIO 2015

作者： Kues, Michael Reimer, Christian Wetzel, Benjamin Roztocki, Piotr Caspani, Lucia Grazioso, Fabio Bromberg, Yaron Little, Brent E. Munro, William J. Chu, Sai T. Moss, David J. Morandotti, Roberto INRS-EMT 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom Department of Applied Physics Yale University New HavenCT06520 United States Xi'an Institute of Optics and Precision Mechanics of CAS Xi'an China NTT Basic Research Laboratories NTT Corporation 3-1 Morinosato-Wakamiya Atsugi Kanagawa243-0198 Japan Department of Physics and Material Science City University of Hong Kong Tat Chee Avenue Hong Kong Hong Kong School of Electrical and Computer Engineering RMIT University MelbourneVIC3001 Australia Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu610054 China

By superimposing two different spontaneous four-wave mixing processes inside a bimodally pumped CMOS-compatible mircoring resonator, we report the generation of four-mode two-photon multi-correlated states and measure... 详细信息

ISBN: (纸本)9781943580033

关键词： Photons

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Elementary framework for cold field emission: Extension to non-planar emitter tip geometries

Elementary framework for cold field emission: Extension to n...

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International Conference on Vacuum Nanoelectronics (IVNC)

作者： Alex Andrew Patterson Akintunde Ibitayo Akinwande Department of Electrical Engineering and Computer Science Microsystems Technology Laboratories Massachusetts Institute of Technology Cambridge Massachusetts

The elementary framework for cold field emission is updated to treat emission from non-planar emitting surfaces of quantum-confined field electron emitters. The framework is applied to emission from the curved surface of a cylindrical nanowire, which results in an oscillatory emitted current density (ECD) that approaches the Fowler-Nordheim (FN) ECD in the limit of large emitter radius. As a function of the emitter dimensions, the ECD from the cylindrical nanowire has higher, narrower peaks than planar emitters, and secondary oscillations, from the irregular distribution of energy levels.

关键词： Surface waves Geometry Mathematical model Equations Current density Wave functions Vectors

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Theoretical Efficiency Limits of a 2 Terminal Dual Junction Step Cell

Theoretical Efficiency Limits of a 2 Terminal Dual Junction ...

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IEEE Photovoltaic Specialist Conference

作者： Sabina Abdul Hadi Tim Milakovich Mayank Bulsara Evelina Polyzoeva Eugene A. Fitzgerald Judy L. Hoyt Ammar Nayfeh Institute Center for Future Energy Systems (iFES) Department of Electrical Engineering and Computer Science (EECS) Masdar Institute of Science and Technology P.O. Box 54224 Abu Dhabi UAE MIT Microsystems Technology Laboratories Cambridge MA 02139 USA

ISBN: (纸本)9781479979455

In this paper we present theoretical analysis for upper efficiency limit of a novel 2 terminal dual junction step-cell. Results show that step cell design relaxes bandgap requirements for efficient tandem cell. While conventional tandem cell with optimized bandgap combination (1.64/ 0.96 eV) has the highest efficiency (45.78 %), the step-cell design provides significant efficiency improvement for cells with non-optimized bandgap values. Efficiency upper limit for Si based step-cell with top cell bandgap equal to 1.41 eV (~GaAs), efficiency upper limit increases from~21% in conventional tandem cell to 38.7% for optimized step-cell design. Step-cell design provides opportunity for wider selection of materials used in tandem solar cell applications.

关键词： Multijunction solar cells theoretical efficiency limit detailed balance method step-cell silicon

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Novel GaAs0.71P0.29/Si tandem step-cell design

Novel GaAs0.71P0.29/Si tandem step-cell design

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2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)

作者： Sabina Abdul Hadi Evelina Polyzoeva Tim Milakovich Mayank Bulsara Judy L. Hoyt Eugene A. Fitzgerald Ammar Nayfeh Department of Electrical Engineering and Computer Science (EECS) Masdar Institute of Science and Technology Abu Dhabi UAE MIT Microsystems Technology Laboratories Cambridge MA USA

ISBN: (纸本)9781479943975

A novel GaAs 0.71 P 0.29 /Si tandem cell is proposed and simulated. In order to grow GaAs 0.71 P 0.29 layers on Si, Si 1-y Ge y (SiGe) buffer layers can be used but optical losses are expected. To reduce large optical losses a wafer bonded/layer transferred structure can be used that eliminates the SiGe buffer layer. In this work we propose a novel tandem step-cell design that partially exposes the underlying Si cell for both wafer bonded and SiGe based cells. We demonstrate by experiment and simulation mitigation of the optical losses associated with SiGe buffer layers. For an optimized GaAs 0.71 P 0.29 /Si tandem cell without the step cell design, simulations estimate ~20% efficiency for the bonded structure and ~3% for the as grown structure with a SiGe buffer. With the proposed novel step-cell design, optimum efficiency of bonded structure increases to ~32% while for structures with SiGe the simulated efficiency reaches ~23%. Optimum exposure of bottom cell area increases with increasing thickness and lifetime of layers above the bottom Si cell.

关键词： Silicon Silicon germanium Optical buffering Buffer layers Photovoltaic cells Optical losses Gallium arsenide

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Pitch scaling of ultrafast, optically-triggered silicon field emitter arrays

Pitch scaling of ultrafast, optically-triggered silicon fiel...

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International Conference on Vacuum Nanoelectronics (IVNC)

作者： Michael E. Swanwick Chen D. Dong Philip D. Keathley Arya Fallahi Franz X. Kärtner Luis Fernando Velasquez-García Microsystems Technology Laboratories Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA DESY University of Hamburg Hamburg Germany

Ultrafast, optically-triggered field emitter arrays are an exciting new area of research with potential application in ultrafast imaging and in coherent x-ray sources based on inverse Compton scattering. The fabrication and preliminary experimental results of pitch scaling on emitter arrays using n-type silicon wafers and scalable CMOS processing is studied to better understand the effect of tip to tip field interaction, space charge and fabrication limitations.

关键词： Silicon Cathodes Space charge Stimulated emission Optical device fabrication Optical imaging Optical scattering

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MIT virtual source GaNFET-high voltage (MVSG-HV) model: A physics based compact model for HV-GaN HEMTs

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Physica Status Solidi (C) Current Topics in Solid State Physics 2014年第3-4期11卷 848-852页

作者： Radhakrishna, Ujwal Imada, Tadahiro Palacios, Tomás Antoniadis, Dimitri Department of Computer Science and Electrical Engineering Massachusetts Institute of Technology Cambridge 02139 United States Fujitsu Laboratories Ltd. 10-1 Morinosato-Wakamiya Atsugi City 243-0197 Japan

A new physics based transport and charge model for long channel GaN HEMTs is proposed. The model is based on the concept of virtual source (VS) carrier transport (A. Khakifirooz et al., IEEE-TED 56(8), 1674 (2009) [1]) and is extended to drift diffusion regime. The model is fully scalable from non-velocity saturation to velocity saturation regime. In addition, non-linear access regions are modeled as implicit-gated transistors. Self-heating effects and self-consistent charge models are included. The model is validated against state of the art industry devices. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： Gallium nitride

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Fast UD Factorization-Based RLS Online Parameter Identification for Model-Based Condition Monitoring of Lithium-ion Batteries

Fast UD Factorization-Based RLS Online Parameter Identificat...

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American Control Conference

作者： Taesic Kim Yebin Wang Zafer Sahinoglu Toshihiro Wada Satoshi Hara Wei Qiao Department of Computer Science and Engineering University of Nebraska-Lincoln Lincoln NE 68588-0511 USA Mitsubishi Electric Research Laboratories 201 Broadway Cambridge MA 02139 USA Advanced Technology R&D Center Mitsubishi Electric Corporation 8-1-1 Tsukaguchi-honmachi Amagasaki City 661-8661 Japan Department of Electrical Engineering University of Nebraska-Lincoln Lincoln NE 68588-0511 USA

ISBN: (纸本)9781479932757

This paper proposes a novel parameter identification method for model-based condition monitoring of lithium-ion batteries. A fast UD factorization-based recursive least square (FUDRLS) algorithm is developed for identifying time-varying electrical parameters of a battery model. The proposed algorithm can be used for online state of charge, state of health and state of power estimation for lithium-ion batteries. The proposed method is more numerically stable than conventional recursive least square (RLS)-based parameter estimation methods and faster than the existing UD RLS-based method. Moreover, a variable forgetting factor (VF) is included in the FUDRLS to optimize its performance. Due to its low complexity and numerical stability, the proposed method is suitable for the real-time embedded Battery Management System (BMS). Simulation and experimental results for a polymer lithium-ion battery are provided to validate the proposed method.

关键词： lithium ion battery Condition monitoring Parameter identification Lithium power estimation CHARGE STATES Fasting electrical parameter Recursive

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