Neuroscience

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Neuroscience is the scientific study of the nervous system. (Wikipedia.org)






Conferences related to Neuroscience

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc


2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.


2014 IEEE Information Theory Workshop (ITW)

ITW2014 is a forum for technical exchange among scientists and engineers working on the fundamentals of information theory. The agenda is broad and will cover the diverse topics that information theory presently impacts. There will be both invited and contributed sessions.

  • 2012 IEEE Information Theory Workshop (ITW 2012)

    The past decade has seen an exponential increase in the data stored in distributed locations in various forms including corporate & personal data, multimedia, and medical data in repositories. The grand challenge is to store, process and transfer this massive amount of data, efficiently and securely over heterogeneous communication networks.

  • 2010 IEEE Information Theory Workshop (ITW 2010)

    Algebraic Methods in Communications Technology

  • 2009 IEEE Information Theory Workshop (ITW 2009)

    Covers the most relevant topics in Information Theory and Coding Theory of interest to the most recent applications to wireless networks, sensor networks, and biology

  • 2008 IEEE Information Theory Workshop (ITW 2008)

    This workshop will take a brief look into the recent information theory past to commemorate the 60th anniversary of Shannon's landmark paper, and then proceed to explore opportunities for information theory research in quantum computation, biology, statistics, and computer science.


2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2013)

Humanoids in the Real World: All related areas of humanoid robotics including locomotion, architectures, mechatronics, control, perception, planning, learning, neuroscience and interaction.

  • 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012)

    The conference theme is 'Humanoids and Humans: Towards A New Frontier.' More than a decade has passed since the first Humanoids conference. Over that period, science and technology have advanced significantly. It is time to revisit the original conception of humanoids -- human-like robots -- and engage the next stage of humanoid research. What can we do with the current and emerging research across broad areas of science and technology to explore the next generation of humanoids and their new relationship to humans? Papers contributing to answering this question from any aspects are solicited.

  • 2011 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011)

    The creation of general-purpose service and companion humanoid robots is one of the greatest challenges in today s robotics research with a potentially huge impact. Papers are solicited in all related areas of humanoid robotics including mechatronics, control, perception, planning, learning, neuroscience, and human-robot interaction.


2013 Biomedical Sciences and Engineering Conference (BSEC)

The central theme of the conference is Integrating Experiments, Simulations and Modeling for Biomedical Advances: From Single Molecules to Public Health Dynamics. From studying individual molecular events to modeling how diseases spread within heterogeneous populations, there is an increasing need to integrate information from disparate sources (including social media and crowd-sourcing), high through-put experiments to large-scale computational simulations, multi-modality patient data. Mathematical modeling and analysis are indispensible in understanding spatiotemporal behaviors of complex biomedical systems. Bringing together researchers from disparate scientific disciplines and organizations is essential to gain novel insights and to propose innovative solutions to the theoretical, methodological and analytical problems of such challenging knowledge discovery undertake. The conference will cover both basic research and translational aspects of interdisciplinary collaborations.

  • 2011 Biomedical Sciences and Engineering Conference (BSEC)

    Image formation & processing, Multi-modality integration and inference, Computer-aided diagnostics and prognostics, Informatics and data management

  • 2010 Biomedical Sciences and Engineering Conference (BSEC)

    BSEC 2010 will highlight biomedical research and analysis in neuroscience (BRAiN) with specific emphasis on brain injuries and neuro-regeneration. Session topics include neuroscience applications of biomedical informatics, biomedical modeling and simulation, neuroscience applications of measurement science, and neuroscience/neuroanatomy.


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Periodicals related to Neuroscience

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Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...


Visualization and Computer Graphics, IEEE Transactions on

Specific topics include, but are not limited to: a) visualization techniques and methodologies; b) visualization systems and software; c) volume visulaization; d) flow visualization; e) information visualization; f) multivariate visualization; g) modeling and surfaces; h) rendering techniques and methodologies; i) graphics systems and software; j) animation and simulation; k) user interfaces; l) virtual reality; m) visual programming and program visualization; ...




Xplore Articles related to Neuroscience

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Spike timing-dependent synaptic plasticity using memristors and nano-crystalline silicon TFT memories

Kurtis D. Cantley; Anand Subramaniam; Harvey J. Stiegler; Richard A. Chapman; Eric M. Vogel 2011 11th IEEE International Conference on Nanotechnology, 2011

Neural circuits based on ambipolar nano-crystalline silicon TFTs and memristive synapses are investigated via SPICE simulations. The drive transistor for the memristive devices is an ambipolar TFT with memory that could be physically implemented using a metal nanoparticle layer within the gate dielectric. It is shown that using such a device adds spike-timing dependence to changes in the synaptic weight. ...


Rapid Changes of Optical Parameters in the Human Brain During a Tapping Task

Gabriele Gratton; Monica Fabiani; David Friedman; Maria Angela Franceschini; Sergio Fantini; Paul Corballis; Enrico Gratton Journal of Cognitive Neuroscience, 1995

Measures of parameters of the migration of near-infrared photons through the head (attenuation, or intensity, and time-of-flight, or delay) have been proposed as a way of assessing noninvasively and in a quasicontinuous fashion changes in the scattering and absorption properties of brain tissue. These, in turn, may reflect functional changes associated with behavioral tasks. To test this hypothesis, we measured ...


Double Dissociation between Overt and Covert Face Recognition

Daniel Tranel; Hanna Damasio; Antonio R. Damasio Journal of Cognitive Neuroscience, 1995

Some patients with face agnosia (prosopagnosia) caused by occipitotemporal damage produce discriminatory covert responses to the familiar faces that they fail to identify overtly. For example, their average skin conductance responses (SCRs) to familiar faces are significantly larger than average SCRs to unfamiliar faces. In this study we describe the opposite dissociation in four patients with bilateral ventromedial frontal damage: ...


Redundant control of a humanoid robot head with foveated vision for object tracking

Damir Omrčen; Aleš Ude 2010 IEEE International Conference on Robotics and Automation, 2010

This paper presents a novel approach to control a humanoid head for object tracking. The proposed approach is based on the concept of virtual mechanism, where the real head is enhanced with a virtual link that connects the eye with a point in 3-D space. We tested our implementation on a humanoid head with seven degrees of freedom and two ...


Learning where to look with movement-based intrinsic motivations: A bio-inspired model

Valerio Sperati; Gianluca Baldassarre 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Most sophisticated mammals, in particular primates, interact with the world to acquire knowledge and skills later exploitable to obtain biologically relevant resources. These interactions are driven by intrinsic motivations. Recent research on brain is revealing the system of neural structures, pivoting on superior colliculus, underlying trial-and-error learning processes guided by movement-detection, one important element of one specific type of intrinsic ...


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Educational Resources on Neuroscience

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eLearning

Spike timing-dependent synaptic plasticity using memristors and nano-crystalline silicon TFT memories

Kurtis D. Cantley; Anand Subramaniam; Harvey J. Stiegler; Richard A. Chapman; Eric M. Vogel 2011 11th IEEE International Conference on Nanotechnology, 2011

Neural circuits based on ambipolar nano-crystalline silicon TFTs and memristive synapses are investigated via SPICE simulations. The drive transistor for the memristive devices is an ambipolar TFT with memory that could be physically implemented using a metal nanoparticle layer within the gate dielectric. It is shown that using such a device adds spike-timing dependence to changes in the synaptic weight. ...


Rapid Changes of Optical Parameters in the Human Brain During a Tapping Task

Gabriele Gratton; Monica Fabiani; David Friedman; Maria Angela Franceschini; Sergio Fantini; Paul Corballis; Enrico Gratton Journal of Cognitive Neuroscience, 1995

Measures of parameters of the migration of near-infrared photons through the head (attenuation, or intensity, and time-of-flight, or delay) have been proposed as a way of assessing noninvasively and in a quasicontinuous fashion changes in the scattering and absorption properties of brain tissue. These, in turn, may reflect functional changes associated with behavioral tasks. To test this hypothesis, we measured ...


Double Dissociation between Overt and Covert Face Recognition

Daniel Tranel; Hanna Damasio; Antonio R. Damasio Journal of Cognitive Neuroscience, 1995

Some patients with face agnosia (prosopagnosia) caused by occipitotemporal damage produce discriminatory covert responses to the familiar faces that they fail to identify overtly. For example, their average skin conductance responses (SCRs) to familiar faces are significantly larger than average SCRs to unfamiliar faces. In this study we describe the opposite dissociation in four patients with bilateral ventromedial frontal damage: ...


Redundant control of a humanoid robot head with foveated vision for object tracking

Damir Omrčen; Aleš Ude 2010 IEEE International Conference on Robotics and Automation, 2010

This paper presents a novel approach to control a humanoid head for object tracking. The proposed approach is based on the concept of virtual mechanism, where the real head is enhanced with a virtual link that connects the eye with a point in 3-D space. We tested our implementation on a humanoid head with seven degrees of freedom and two ...


Learning where to look with movement-based intrinsic motivations: A bio-inspired model

Valerio Sperati; Gianluca Baldassarre 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Most sophisticated mammals, in particular primates, interact with the world to acquire knowledge and skills later exploitable to obtain biologically relevant resources. These interactions are driven by intrinsic motivations. Recent research on brain is revealing the system of neural structures, pivoting on superior colliculus, underlying trial-and-error learning processes guided by movement-detection, one important element of one specific type of intrinsic ...


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IEEE-USA E-Books

  • Author Index

    Attention and Performance XIV, the silver jubilee volume in a renowned series of international symposia on human mental and physical performance, provides a broad, historic, and timely synthesis of the empirical and theoretical ideas on which performance theory now rests.Extending trends set by earlier symposia volumes, the thirty-five contributions treat topics that are central to a scientific understanding of human performance including visual information processing, selective attention, mental chronometry, learning, memory, and motor control - from the interdisciplinary perspectives of experimental psychology, cognitive science, artificial intelligence, and neurophysiology. The assembled tutorials, reviews and previews, new research reports, and critical commentaries ranging from retrospective assessments to forecasts of likely future advances make this major undertaking at once an encyclopedic handbook, memoir, monograph, and text that will serve a multiplicity of needs for workers in a variety of allied disciplines.David E. Meyer and Sylvan Kornblum are Professors of Psychology at the University of Michigan.

  • No title

    Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an alternate communication channel linking directly the nervous system with man-made devices. This book reveals the essential engineering principles and signal processing tools for deriving control commands from bioelectric signals in large ensembles of neurons. The topics featured include analysis techniques for determining neural representation, modeling in motor systems, computing with neural spikes, and hardware implementation of neural interfaces. Beginning with an exploration of the historical developments that have led to the decoding of information from neural interfaces, this book compares the theory and performance of new neural engineering approaches for BMIs. Contents: Introduction to Neural Interfaces / Foundations of Neuronal Representations / Input-Outpur BMI Models / Regularization Techniques for BMI Models / Neural Decoding Using Generativ BMI Models / Adaptive Algorithms for Point Processes / BMI Systems

  • Back Matter

    Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotics engineers, neuroscientists, and philosophers. The contributors discuss incorporating principles from neuroscience into ER; dynamical analysis of evolved agents; constructing appropriate evolutionary pathways; spatial cognition; the coevolution of robot brains and bodies; group behavior; the evolution of communication; translating evolved behavior into design principles; the development of an evolutionary robotics--based methodology for shedding light on neural processes; an incremental approach to complex tasks; and the notion of "mindless intelligence" -- complex processes from immune systems to social networks -- as a way forward for artificial intelligence.ContributorsChristos Ampatzis, Randall D. Beer, Josh Bongard, Joachim de Greeff, Ezequiel A. Di Paolo, Marco Dorigo, Dario Floreano, Inman Harvey, Sabine Hauert, Phil Husbands, Laurent Keller, Michail Maniadakis, Orazio Miglino, Sara Mitri, Renan Moioli, Stefano Nolfi, Michael O'Shea, Rainer W. Paine, Andy Philippides, Jordan B. Pollack, Michela Ponticorvo, Yoon-Sik Shim, Jun Tani, Vito Trianni, Elio Tuci, Patricia A. Vargas, Eric D. Vaughan

  • The Meaning of Additive Reaction-Time Effects: Tests of Three Alternatives

    This chapter contains sections titled: Introduction, General And Stochastically-Independent Stage Models, The Alternate-Pathways (Ap) Model, The Mcclelland-Ashby Cascade Model, Four Experiments, Additivity Of Factor Effects On The Mean, The Summation Test: Further Support For The Stage Model, The Mixture Test: Further Evidence Against The Alternate-Pathways Model, Evidence Against The Cascade Model, Discussion, Appendix: Proofs And Comments On Equations, Notes, References

  • Subject Index

    Attention and Performance XIV, the silver jubilee volume in a renowned series of international symposia on human mental and physical performance, provides a broad, historic, and timely synthesis of the empirical and theoretical ideas on which performance theory now rests.Extending trends set by earlier symposia volumes, the thirty-five contributions treat topics that are central to a scientific understanding of human performance including visual information processing, selective attention, mental chronometry, learning, memory, and motor control - from the interdisciplinary perspectives of experimental psychology, cognitive science, artificial intelligence, and neurophysiology. The assembled tutorials, reviews and previews, new research reports, and critical commentaries ranging from retrospective assessments to forecasts of likely future advances make this major undertaking at once an encyclopedic handbook, memoir, monograph, and text that will serve a multiplicity of needs for workers in a variety of allied disciplines.David E. Meyer and Sylvan Kornblum are Professors of Psychology at the University of Michigan.

  • Cognitive Control, Cognitive Search, and Motivational Salience: A Systems Neuroscience Approach

    An essential facet of adaptive and versatile behavior is the ability to prioritize actions in response to dynamically changing circumstances, in particular when circumstances require the coordination of a planned course of action vis-a-vis instantaneous urges and extraneously triggered reactions. This chapter focuses on one aspect of cognitive search: the exploration of internal and external milieu for motivationally salient events (stimuli that are novel, ambiguous, infrequent, deviant, or unexpected, or register as a risk for undesirable outcomes or a risk for the exhaustion of resources) which may require appropriate adaptive action. A neurocognitive framework is described for understanding how cognitive control and cognitive search are modulated by motivationally salient events. This framework emphasizes the integration of a salience network in the brain with other large-scale neural networks, neurotransmitter systems, and homeostatic (autonomic nervous system) functioning. The anterior insula cortex and anterior cingulate cortex are core nodes of a salience network that monitors for motivationally salient stimuli. This framework helps to amalgamate findings from disparate literatures into a common conjecture and highlights the role of motivational salience in modulating cognitive search and cognitive control. The salience network transforms salience signals into an orienting response which serves to recruit the necessary physiological arousal and to engage task-relevant networks (involving attentional, working-memory, and adaptive action selection processes) while disengaging task-negative networks. Using representative examples as instructive points in case, it is argued that this integrative systems-neuroscience framework provides a parsimonious account of salience processing, and may provide novel insights into the neural basis of individual differences among healthy as well as pathological populations.

  • No title

    In the past 50 years there has been an explosion of interest in the development of technologies whose end goal is to connect the human brain and/or nervous system directly to computers. Once the subject of science fiction, the technologies necessary to accomplish this goal are rapidly becoming reality. In laboratories around the globe, research is being undertaken to restore function to the physically disabled, to replace areas of the brain damaged by disease or trauma and to augment human abilities. Building neural interfaces and neuro-prosthetics relies on a diverse array of disciplines such as neuroscience, engineering, medicine and microfabrication just to name a few. This book presents a short history of neural interfacing (N.I.) research and introduces the reader to some of the current efforts to develop neural prostheses. The book is intended as an introduction for the college freshman or others wishing to learn more about the field. A resource guide is included for students al ng with a list of laboratories conducting N.I. research and universities with N.I. related tracks of study. Table of Contents: Neural Interfaces Past and Present / Current Neuroprosthesis Research / Conclusion / Resources for Students

  • Brain-Computer Interface Applied to Motor Recovery after Brain Injury

    This chapter deals with the early investigations of brain - computer interface (BCI) systems applied to the goal of motor recovery after neural injury, as well as some of the difficulties encountered. It explains the application of noninvasive BCIs to physical rehabilitation. Noninvasive BCIs include those that use electroencephalographical (EEG) recordings from the surface of the scalp, functional magnetic resonance imaging (fMRI) recordings, and magnetoencephalographic (MEG) recordings. The chapter also discusses neuroscience evidence of brain plasticity and theoretical strategies for BCIs in motor learning. It concludes with feasibility studies of noninvasive BCI. These studies address the following issues: identification of motor task practice that can produce a brain signal that can be used in rehabilitation, identification of brain signal features that can be used in rehabilitation, and ease and accuracy of the use of BCI training.

  • Toward a Theory of Information Processing in Graded, Random, and Interactive Networks

    This chapter contains sections titled: Principles, Goals For A Theory Of Information Processing, Case Studies, Asymptotic Performance In Perceptual Identification Tasks, Dynamics Of Processing: Monotonic And Nonmonotonic Time- Accuracy Curves, Discussion, Notes, References

  • Introduction

    Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and computer vision. Sparse modeling methods can improve the interpretability of predictive models and aid efficient recovery of high-dimensional unobserved signals from a limited number of measurements. Yet despite significant advances in the field, a number of open issues remain when sparse modeling meets real-life applications. The book discusses a range of practical applications and state- of-the-art approaches for tackling the challenges presented by these applications. Topics considered include the choice of method in genomics applications; analysis of protein mass-spectrometry data; the sta ility of sparse models in brain imaging applications; sequential testing approaches; algorithmic aspects of sparse recovery; and learning sparse latent models. **Contributors**A. Vania Apkarian, Marwan Baliki, Melissa K. Carroll, Guillermo A. Cecchi, Volkan Cevher, Xi Chen, Nathan W. Churchill, R??mi Emonet, Rahul Garg, Zoubin Ghahramani, Lars Kai Hansen, Matthias Hein, Katherine Heller, Sina Jafarpour, Seyoung Kim, Mladen Kolar, Anastasios Kyrillidis, Aurelie Lozano, Matthew L. Malloy, Pablo Meyer, Shakir Mohamed, Alexandru Niculescu-Mizil, Robert D. Nowak, Jean-Marc Odobez, Peter M. Rasmussen, Irina Rish, Saharon Rosset, Martin Slawski, Stephen C. Strother, Jagannadan Varadarajan, Eric P. Xing



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