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SpringerBriefs in Computer Science 2015年第9783319231044期 v页

作者： Shakarian, Paulo Bhatnagar, Abhinav Aleali, Ashkan Shaabani, Elham Guo, Ruocheng School of Computing Informatics and Decision Systems Engineering Arizona State University TempeAZ United States Arizona State University TempeAZ United States

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Orientation Classification by a Winner-Take-All Network with Oxide RRAM based Synaptic Devices

Orientation Classification by a Winner-Take-All Network with...

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IEEE International Symposium on Circuits and systems

作者： Shimeng Yu School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 USA

ISBN: (纸本)9781479934331

An emerging application for the oxide based resistive random access memory (RRAM) technology is to serve as the synaptic device for the hardware implementation of neuromorphic computing. The gradual resistance modulation capability in RRAM is proposed for emulating analog synapses, and the stochastic switching behavior in RRAM is proposed for emulating binary synapses. In order to evaluate the effectiveness of analog synapses and binary synapses in realizing the competitive learning algorithm, a simulation of winner-take-all network is performed based on the parameters extracted from the experiments. The simulation suggests that the orientation classification can be effectively realized using both analog synapses and binary synapses.

关键词： resistive switching RRAM synaptic device winner-take-all neural network neuromorphic computing

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Overview of Resistive Switching Memory (RRAM) Switching Mechanism and Device Modeling

Overview of Resistive Switching Memory (RRAM) Switching Mech...

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IEEE International Symposium on Circuits and systems

作者： Shimeng Yu School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 USA

ISBN: (纸本)9781479934331

In this paper, the recent progress on the understandings of the switching mechanisms in oxide resistive switching memory (RRAM) is reviewed. Several representative device modeling approaches including numerical discretized models, numerical continuous models and analytical compact models are discussed using HfO_x bipolar RRAM as a model system. The future challenges of RRAM modeling are finally discussed.

关键词： resistive switching RRAM mechanism modeling

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CAAC -an adaptive and proactive access control approach for emergencies in smart infrastructures

CAAC -an adaptive and proactive access control approach for ...

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作者： Venkatasubramanian, Krishna K. Mukherjee, Tridib Gupta, Sandeep K. S. Worcester Polytechnic Institute Worcester MA United States Xerox Research Center India Bangalore India IMPACT Lab School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287 United States

The article presents an access control model called Criticality Aware Access Control (CAAC) for criticality (emergency) management in smart infrastructures. Criticalities are consequences of events which take a system (in our case, a smart infrastructure) into an unstable state. They require the execution of specific response actions in order to bring them under control. The principal aim of CAAC is to grant the right set of access privileges (to facilitate response action execution), at the right time, to the right set of subjects, for the right duration, in order to control the criticalities within the system. In this regard, the CAAC model uses a stochastic model called the Action Generation Model to determine the required response actions for the combination of criticalities present within the system. It then facilitates response actions by adaptively altering the privileges to specific subjects, in a proactive manner, without the need for any explicit access requests. In this article, we formalize the CAAC model and validate it based on two design goals - proactivity and adaptiveness. Finally, we present a case study demonstrating CAAC's operation on an oil-rig platform in order to aid in the response to health- and fire-related criticalities. © 2014 ACM.

关键词： Access control

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A Wizard of Oz Study Exploring How Agreement/Disagreement Nonverbal Cues Enhance Social Interactions for Individuals Who Are Blind

A Wizard of Oz Study Exploring How Agreement/Disagreement No...

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作者： Rader, Joshua McDaniel, Troy Ramirez Jr., Artemio Bala, Shantanu Panchanathan, Sethuraman Hugh Downs School of Human Communication Arizona State University Tempe AZ United States Center for Cognitive Ubiquitous Computing School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ United States Department of Communication University of South Florida Tampa FL United States

Given their visual nature, nonverbal social cues, such as facial and head movements, are largely inaccessible to individuals who are blind, limiting the information gleaned during interactions. While social assistive aids have explored some nonverbal cues, such as detecting and communicating facial expressions, relatively few nonverbal cues have been explored. A thorough and systematic study has yet to investigate the importance and usefulness of many nonverbal social cues for individuals who are blind. This work takes this first step by beginning to explore the nonverbal cue of agreement/disagreement as indicated by head/body movements including head nod, head shake, leaning forward and leaning backward. To facilitate the investigation of the usefulness of nonverbal cues for individuals who are blind, we propose the use of a Wizard of Oz experiment to rapidly evaluate nonverbal communications using existing technologies rather than building new and complete systems. We first explore the usefulness of agreement/disagreement nonverbal cues using our existing Social Interaction Assistant platform in which most of the seemingly automated processes were manually performed by a wizard without the knowledge of participants. We conducted an experiment with 11 individuals who are blind or visually impaired involving one-on-one interactions with trained interviewers. Results show the potential of agreement/disagreement nonverbal cues within the social interactions of individuals who are blind. © Springer International Publishing Switzerland 2014.

关键词： Automation

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Adaptive estimation of time-varying parameters in AR models with variable forgetting factor

Adaptive estimation of time-varying parameters in AR models ...

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2014 17th IEEE Mediterranean Electrotechnical Conference, MELECON 2014

作者： Kvaščev, Goran Durovic, Željko Kovačević, Branko Kovačević, Ivana Kostić Signals and Systems Department University of Belgrade School of Electrical Engineering Belgrade Serbia Department of Informatics and Computing Singidunum University Belgrade Serbia

ISBN: (纸本)9781479923373

A new method for estimating time-varying parameters of nonstationary AR signal models, based on adaptive recursive least squares with variable forgetting factors, is described. The adaptive estimator differs from the conventional one by the simultaneously estimation of AR model parameters and scale factor of prediction residuals, while the variable forgetting factor values are adapted to the nonstationary signal via a new extended prediction error detection scheme. The method has good adaptability in the non-stationary situations, and gives low bias and low variance at the stationary situations. The feasibility of the approach is demonstrated with simulations. © 2014 IEEE.

关键词： Parameter estimation

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Formal property verification in a conformance testing framework 14

Formal property verification in a conformance testing framew...

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12th ACM/IEEE International Conference on Methods and Models for System Design, MEMOCODE 2014

作者： Abbas, Houssam Mittelmann, Hans Fainekos, Georgios School of Electrical Energy and Computer Engineering Arizona State University TempeAZ United States School of Mathematical and Statistical Sciences Arizona State University TempeAZ United States School of Computing Informatics and Decision Systems Arizona State University TempeAZ United States

ISBN: (纸本)9781479953387

In model-based design of cyber-physical systems, such as switched mixed-signal circuits or software-controlled physical systems, it is common to develop a sequence of system models of different fidelity and complexity, each appropriate for a particular design or verification task. In such a sequence, one model is often derived from the other by a process of simplification or implementation. E.g. a Simulink model might be implemented on an embedded processor via automatic code generation. Three questions naturally present themselves: how do we quantify closeness between the two systems? How can we measure such closeness? If the original system satisfies some formal property, can we automatically infer what properties are then satisfied by the derived model? This paper addresses all three questions: we quantify the closeness between original and derived model via a distance measure between their outputs. We then propose two computational methods for approximating this closeness measure. Finally, we derive syntactical re-writing rules which, when applied to a Metric Temporal Logic specification satisfied by the original model, produce a formula satisfied by the derived model. We demonstrate the soundness of the theory with several experiments. © 2014 IEEE.

关键词： Embedded systems

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

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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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Mapping abnormal subcortical brain morphometry in an elderly HIV+ cohort

Mapping abnormal subcortical brain morphometry in an elderly...

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IEEE International Symposium on Biomedical Imaging

作者： Benjamin S. C. Wade Victor G. Valcour Lauren Wendelken-Riegelhaupt Pardis Esmaeili-Firidouni Shantanu H. Joshi Yalin Wang Paul M. Thompson Imaging Genetics Center University of Southern California Los Angeles CA USA Dept. of Neurology University of California San Francisco CA USA Department of Neurology UCLA CA USA School of Computing Informatics and Decisio Systems Engineering Arizona State University Tempe AZ USA

ISBN: (纸本)9781467393300

Over 50% of HIV+ individuals exhibit neurocognitive impairment and subcortical atrophy, but the pattern of brain abnormalities associated with HIV is still poorly understood. Using parametric surface-based shape analyses, we mapped the 3D profile of subcortical morphometry in 63 HIV+ participants and 31 uninfected controls. The thalamus, corpus striatum, hippocampus, amygdala, brainstem, callosum and ventricles were segmented from brain MRIs. To investigate subcortical shape, we analyzed the Jacobian determinant (JD) and radial distances (RD) for structure surfaces. We also investigated effects of nadir CD4+ T-cell counts, viral load, and illness duration on subcortical morphology. Our results characterize subcortical morphometry in older HIV+ people, where participants showed significant volumetric enlargements in the thalamus, left pallidum and the ventricles while showing a reduction in the callosum. Further, RD maps revealed atrophy of the left thalamus and expansion of the brainstem in HIV. RD and JD maps of the right pallidum identified tissue expansion associated with illness duration while the left pallidum showed anterior atrophy and posterior expansion associated with viral load.

关键词： Human immunodeficiency virus Surface morphology Atrophy Radio frequency Shape Three-dimensional displays Magnetic resonance imaging

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Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity

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Procedia Computer Science 2014年 41卷 126-133页

作者： Zihan Xu Abinash Mohanty Pai-Yu Chen Deepak Kadetotad Binbin Lin Jieping Ye Sarma Vrudhula Shimeng Yu Jae-sun Seo Yu Cao School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287 USA School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85281 USA

This paper proposes a parallel programming scheme for the cross-point array with resistive random access memory (RRAM). Synaptic plasticity in unsupervised learning is realized by tuning the conductance of each RRAM cell. Inspired by the spike-timing-dependent-plasticity (STDP), the programming strength is encoded into the spike firing rate (i.e., pulse frequency) and the overlap time (i.e., duty cycle) of the pre-synaptic node and post-synaptic node, and simultaneously applied to all RRAM cells in the cross-point array. Such an approach achieves parallel programming of the entire RRAM array, only requiring local information from pre-synaptic and post-synaptic nodes to each RRAM cell. As demonstrated by digital peripheral circuits implemented in 65 nm CMOS, the programming time of a 40 kb RRAM array is 84 ns, indicating 900X speedup as compared to state-of-the-art software approach of sparse coding in image feature extraction.

关键词： Resistive cross-point array Parallel programming Synaptic plasticity Dictionary learning

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